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Sakko S, Perkiömäki J, Ylitalo A, Huikuri H, Ukkola O, Koivunen P, Tapio J. Prognostic value of NT-proANP levels on major cardiovascular outcomes in a 31-year follow-up study depends on baseline morbidity. Sci Rep 2025; 15:18660. [PMID: 40436983 PMCID: PMC12119872 DOI: 10.1038/s41598-025-03819-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2025] [Accepted: 05/22/2025] [Indexed: 06/01/2025] Open
Abstract
In subjects with cardiovascular disease (CVD), higher N-terminal proatrial natriuretic peptide (NT-proANP) are associated with major cardiovascular outcomes, while in subjects without CVDs longitudinal data is largely lacking. Our aim was to assess cross-sectional associations between NT-proANP and key CVD factors (1044 subjects, 40-62 years, 51% hypertensive, 49% males) and to evaluate the predictive potential of NT-proANP for HF events, CVD events, CVD mortality, and total mortality over an up-to 31-year follow-up period. In subjects with CVDs, the high NT-proANP tertile had decreased kidney function, higher prevalence of CVDs and adverse echocardiographic measures but also the lowest fasting insulin levels, and in longitudinal analysis had an increased risk for HF events and CVD mortality. In subjects without CVDs the high NT-proANP tertile had the healthiest metabolic profile with the lowest BMI, fasting insulin levels and blood pressure, and in longitudinal analysis weaker evidence for increased risk for HF events and CVD mortality were observed. Regardless of CVDs, NT-proANP levels increased with age and were not independently associated with total mortality. In this middle-aged population, followed for up to three decades, the cross-sectional and longitudinal associations of NT-proANP levels were largely dependent on population characteristics such as age and CVDs.
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Affiliation(s)
- Samuli Sakko
- Biocenter Oulu and Faculty of Biochemistry and Molecular Medicine, Research Unit for Extracellular Matrix and Hypoxia, University of Oulu, P.O. Box 5400, 90014, Oulu, Finland
| | - Juha Perkiömäki
- Research Unit of Biomedicine and Internal Medicine, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Antti Ylitalo
- Turku University Hospital, Heart Center, Turku, Finland
- University of Turku, Turku, Finland
| | - Heikki Huikuri
- Research Unit of Biomedicine and Internal Medicine, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Olavi Ukkola
- Research Unit of Biomedicine and Internal Medicine, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Peppi Koivunen
- Biocenter Oulu and Faculty of Biochemistry and Molecular Medicine, Research Unit for Extracellular Matrix and Hypoxia, University of Oulu, P.O. Box 5400, 90014, Oulu, Finland
| | - Joona Tapio
- Biocenter Oulu and Faculty of Biochemistry and Molecular Medicine, Research Unit for Extracellular Matrix and Hypoxia, University of Oulu, P.O. Box 5400, 90014, Oulu, Finland.
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Chen AM, He QY, Wu YC, Chen JQ, Ma XQ, Hu LY, Wang GNY, Wang ZT, Wu ZY, Zheng ZJ, Jia YJ. Association of quantified cardiovascular health status with all-cause mortality risk in prediabetic patients. World J Diabetes 2025; 16:102052. [DOI: 10.4239/wjd.v16.i5.102052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Revised: 12/04/2024] [Accepted: 03/21/2025] [Indexed: 04/25/2025] Open
Abstract
BACKGROUND Patients with prediabetes are at increased risk of developing cardiovascular disease. The Life's Essential 8 (LE8) score, updated by the American Heart Association in 2022, is a tool used to quantify cardiovascular health (CVH). Quantifying healthy living status on the basis of the uniform standard LE8 will be useful for confirming whether health interventions can reduce the risk of death in prediabetic patients.
AIM To investigate the associations between all-cause mortality risk and CVH status (as quantified by the LE8 score) in prediabetic patients.
METHODS This study included 5344 participants with prediabetes (age: 52.9 ± 15.8 years; 51.6% men). The LE8 score includes four health indicators and four health behaviors. Cox proportional hazard ratios were calculated for all-cause mortality in the high CVH (LE8 ≥ 80), low CVH (LE8 ≤ 50), and moderate CVH (LE8 50-79) subgroups, and restricted cubic spline analyses were performed. Separate analyses of the associations of all-cause mortality risk with each LE8 component and CVH health behaviors and indicators were also performed.
RESULTS In the median follow-up period of 8.33 years, 658 deaths occurred. Compared with those among participants with high CVH, the covariate-adjusted HRs (95% confidence intervals) for mortality among participants with moderate and low CVH were 2.55 (1.23-5.31) and 3.92 (1.70-9.02), respectively. There was a linear relationship between an improvement in CVH status and a reduction in all-cause mortality risk (P-overall < 0.0001, P-nonlinear = 0.7989). Improved CVH health behaviors had a more significant protective effect on patients with prediabetes than did the improvement in CVH health indicators.
CONCLUSION High CVH status (as quantified by the LE8 score) is significantly associated with reduced mortality risk in prediabetic adults in the United States.
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Affiliation(s)
- Ao-Miao Chen
- Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Department of Endocrinology & Metabolism, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- De Feng Academy, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Qiu-Yu He
- Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Department of Endocrinology & Metabolism, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- De Feng Academy, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Yi-Chuan Wu
- Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Department of Endocrinology & Metabolism, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- De Feng Academy, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- School of Stomatology, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Jia-Qi Chen
- Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Department of Endocrinology & Metabolism, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- De Feng Academy, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Xiao-Qin Ma
- Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Department of Endocrinology & Metabolism, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- De Feng Academy, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Ling-Yuan Hu
- Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Department of Endocrinology & Metabolism, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- De Feng Academy, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Ge-Ning-Yue Wang
- Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Department of Endocrinology & Metabolism, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- De Feng Academy, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- School of Stomatology, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Zhuo-Tong Wang
- Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Department of Endocrinology & Metabolism, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- De Feng Academy, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Zhi-Yong Wu
- Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Department of Endocrinology & Metabolism, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- College of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Zong-Ji Zheng
- Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Department of Endocrinology & Metabolism, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- De Feng Academy, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Yi-Jie Jia
- Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Department of Endocrinology & Metabolism, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- De Feng Academy, Southern Medical University, Guangzhou 510515, Guangdong Province, China
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Walker J, Won D, Guo J, Rana JS, Allen NB, Ning H, Lloyd-Jones DM. Cumulative Life's Essential 8 Scores and Cardiovascular Disease Risk. JAMA Cardiol 2025:2832859. [PMID: 40266596 PMCID: PMC12019673 DOI: 10.1001/jamacardio.2025.0630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2024] [Accepted: 02/21/2025] [Indexed: 04/24/2025]
Abstract
Importance Most literature on the association between cardiovascular health (CVH) and incident cardiovascular disease (CVD) and mortality has relied on single midlife measurements. Understanding how cumulative CVH over time influences later-life CVD and mortality may aid early prevention. Objective To determine whether cumulative CVH, as measured by the American Heart Association Life's Essential 8 (LE8) from age 18 to 45 years, is associated with incident CVD and mortality in midlife. Design, Setting, and Participants This cohort study, the Coronary Artery Risk Development in Young Adults (CARDIA) study, collected CVH data for participants from 4 US centers from 1985 to 2020. Multivariate Cox proportional hazard models assessed the associations of (1) cumulative LE8 score by quartile, (2) cumulative LE8 score and score at age 45 years, and (3) cumulative LE8 score and LE8 score slope from age 18 to 45 years with incident CVD and mortality after age 45 years. Main Outcomes and Measures Incident CVD and all-cause mortality. Cumulative LE8 score was calculated as the area under the curve of the LE8 score (0-100, higher is better CVH) over time from age 18 to 45 years. Results There were 4832 CARDIA participants (2690 [55.7%] female and 2142 [44.3%] male) with a mean (SD) cumulative LE8 score from age 18 to 45 years of 2018.8 (95.0) point × years. Compared with quartile 1 (Q1, ie, lowest CVH), Q2, Q3, and Q4 had significantly lower hazards for CVD (Q2 HR, 0.44; 95% CI, 0.32-0.61; Q3 HR, 0.26; 95% CI, 0.18-0.38; Q4 HR, 0.12; 95% CI, 0.07-0.21) and mortality (Q2 HR, 0.51; 95% CI, 0.36-0.71; Q3 HR, 0.38; 95% CI, 0.26-0.55; Q4 HR, 0.29; 95% CI, 0.18-0.45) after age 45 years. When cumulative LE8 score from age 18 to 45 years and LE8 score at age 45 years were in the model together, both were significantly associated with lower risk for CVD. Likewise, both cumulative LE8 score and positive slope of (improving) LE8 score from age 18 to 45 years were significantly associated with lower hazards for incident CVD after age 45 years. Conclusions and Relevance Greater cumulative CVH and improvement in CVH during young adulthood, as well as better CVH in middle age, were all independently associated with lower risk for incident CVD in midlife. These results emphasize the importance of maintaining and improving CVH throughout young adulthood.
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Affiliation(s)
- James Walker
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Daniel Won
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - James Guo
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Jamal S. Rana
- Kaiser Permanente Oakland Medical Center, Oakland, California
| | - Norrina B. Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Hongyan Ning
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Donald M. Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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Chawla M, Papacosta O, Lennon L, Ahmed A, Whincup P, Wannamethee SG. Association of ideal cardiovascular health and Life's Simple 7 metrics with incident heart failure among older men: the British Regional Heart Study. Eur J Prev Cardiol 2025:zwaf216. [PMID: 40198001 DOI: 10.1093/eurjpc/zwaf216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 10/11/2024] [Accepted: 03/23/2025] [Indexed: 04/10/2025]
Abstract
BACKGROUND Ideal cardiovascular health (CVH) determined by categorisation of component Life's Simple 7 (LS7) metrics has been associated with reduced risk of heart failure (HF). However, few studies have explored the relationship between changes in CVH from middle to older age and HF incidence. AIMS We aim to investigate the association between LS7 metrics and their impact on HF incidence in older men. Additionally, we explore whether changes in CVH scores between middle and older age were associated with subsequent HF risk. METHODS The British Regional Heart Study is a prospective study of 7735 men, aged 40-59y at enrolment (1978-1980) from 24 British towns. Information on LS7 metrics was gathered at initial recruitment and again at re-examination 20y later. Follow-up for HF was conducted from re-examination onwards. RESULTS Among 3698 men (60-79y) without prior myocardial infarction or HF, 369 developed HF during a median follow-up of 15.8y. Ideal CVH was associated with significantly lower risk of HF relative to poor CVH after adjusting for age, social class and alcohol intake (HR 95%CI = 0.51 0.38-0.68). Men who maintained high CVH scores between baseline and 20y re-examination (high-high group) showed a significant 33% reduction in risk of HF (HR 95%CI= 0.67 0.51-0.87) compared to those with consistently low CVH scores. These associations persisted after adjustment for competing mortality. CONCLUSIONS Our results highlight that a consistently healthy lifestyle, as reflected in a better CVH score maintained over an adult lifetime, is associated with lower HF risk in older men.
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Affiliation(s)
- Mehar Chawla
- Department of Primary Care and Population Health, University College London, Royal Free Campus, London, NW3 2PF
| | - Olia Papacosta
- Department of Primary Care and Population Health, University College London, Royal Free Campus, London, NW3 2PF
| | - Lucy Lennon
- Department of Primary Care and Population Health, University College London, Royal Free Campus, London, NW3 2PF
| | - Ayesha Ahmed
- Department of Primary Care and Population Health, University College London, Royal Free Campus, London, NW3 2PF
| | - Peter Whincup
- Population Health Research Institute, St George's, University of London, London SW17 0RE
| | - S Goya Wannamethee
- Department of Primary Care and Population Health, University College London, Royal Free Campus, London, NW3 2PF
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Zhang F, Liu H, Xie Y, Liu L, Feng O, Li Y. The impact of cardiovascular health on mortality in US adults with cardiometabolic disease: A prospective nationwide cohort study. Nutr Metab Cardiovasc Dis 2025; 35:103717. [PMID: 39277533 DOI: 10.1016/j.numecd.2024.08.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 08/08/2024] [Accepted: 08/15/2024] [Indexed: 09/17/2024]
Abstract
BACKGROUND AND AIMS Individuals with cardiometabolic disease (CMD) face high risks of adverse outcomes. However, there is little evidence of the effectiveness of comprehensive risk assessment using the Life's Essential 8 (LE8) score in CMD. This study aimed to examine the associations between LE8 and all-cause and cardiovascular mortality rates in individuals with CMD. METHODS AND RESULTS This study included 11,198 NHANES participants, categorized into low, moderate, and high CVH groups according to LE8 scores. The LE8 score consists of eight components: diet, physical activity, nicotine exposure, sleep health, BMI, blood lipids, blood glucose, and blood pressure. A higher LE8 score indicates better cardiovascular health. Multivariable Cox proportional hazard regression and restricted cubic splines were employed to estimate the associations. Subgroup analyses considered age, sex, race and ethnicity, income, marital status, and education. During a median follow-up of 91 months, 1079 deaths were recorded, 325 of which were cardiovascular. The multivariable adjusted hazard ratio (HR) per 10-point increase in LE8 was 0.79 (95% confidence interval (CI), 0.75-0.84) for all-cause mortality and 0.71 (95% CI, 0.64-0.79) for cardiovascular mortality. Participants with moderate and high LE8 levels showed similar inverse associations. Those under 60 exhibited more pronounced associations (P for interaction <0.05). After adjusting for multiple variables, a linear relationship was observed between LE8 and all-cause and cardiovascular mortality in the CMD population. CONCLUSIONS The newly introduced LE8 showed a significant negative association with all-cause and cardiovascular mortality risk among CMD individuals, highlighting its potential for CMD tertiary prevention.
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Affiliation(s)
- Feifei Zhang
- Department of Cardiology Center, Hebei General Hospital, No.348 West Peace Road, Xinhua District, Shijiazhuang, 050051, Hebei Province, China
| | - Huiliang Liu
- Department of Cardiology Center, Hebei General Hospital, No.348 West Peace Road, Xinhua District, Shijiazhuang, 050051, Hebei Province, China
| | - Yuetao Xie
- Department of Cardiology Center, Hebei General Hospital, No.348 West Peace Road, Xinhua District, Shijiazhuang, 050051, Hebei Province, China
| | - Litian Liu
- Department of Cardiology Center, Hebei General Hospital, No.348 West Peace Road, Xinhua District, Shijiazhuang, 050051, Hebei Province, China
| | - Ohua Feng
- Department of Cardiology, Jingxing County Hospital, No. 20 Construction South Road, Shijiazhuang, 050051, Hebei Province, China
| | - Yingxiao Li
- Department of Cardiology Center, Hebei General Hospital, No.348 West Peace Road, Xinhua District, Shijiazhuang, 050051, Hebei Province, China.
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Rubattu S, Gallo G, Volpe M. The Balance Between the Natriuretic Peptides and the Renin-Angiotensin-Aldosterone System in the Preservation of Ideal Cardiovascular Health. J Clin Med 2025; 14:626. [PMID: 39860634 PMCID: PMC11766086 DOI: 10.3390/jcm14020626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2024] [Revised: 01/04/2025] [Accepted: 01/17/2025] [Indexed: 01/27/2025] Open
Abstract
A healthy lifestyle plays a key role for maintaining the cardiovascular health (CVH) status and prevent cardiovascular disease occurrence. In fact, a healthy lifestyle was included in the AHA Cardiovascular Health score (Life's Simple 7 [LS7]), subsequently updated to Life's Simple 8 [LS8]. Apart from the importance of controlling conventional cardiovascular risk factors, increasing evidence supports the contributory role of cardiovascular hormones. Higher levels of natriuretic peptides (NPs) and lower levels of renin and aldosterone were significantly associated to CVH. NT-proBNP levels showed a direct relationship with CVH scores in large general Caucasian populations, being also a marker of CVH changes and a predictor of future adverse events. On the other hand, renin and aldosterone were inversely related to CVH scores. In contrast, the counter-regulatory angiotensins [Ang (1-7) acting through Mas receptor, Ang (1-9) acting through Angiotensin Type 2 receptor, and alamandine] strengthen the beneficial properties of NPs. This evidence can be explained by both the effects on systemic hemodynamic and possible pleiotropic local functions regulating different pathways involved in the maintenance of CVH. Based on the current evidence, circulating levels of NT-proBNP, renin and aldosterone may affect CVH in apparently asymptomatic individuals and represent additional markers of residual cardiovascular risk.
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Affiliation(s)
- Speranza Rubattu
- Clinical and Molecular Medicine Department, School of Medicine and Psychology, Sapienza University of Rome, 00189 Roma, Italy; (G.G.); (M.V.)
- IRCCS Neuromed, 86077 Pozzilli, Italy
| | - Giovanna Gallo
- Clinical and Molecular Medicine Department, School of Medicine and Psychology, Sapienza University of Rome, 00189 Roma, Italy; (G.G.); (M.V.)
- Cardiology Unit, Sant’Andrea University Hospital, 00189 Rome, Italy
| | - Massimo Volpe
- Clinical and Molecular Medicine Department, School of Medicine and Psychology, Sapienza University of Rome, 00189 Roma, Italy; (G.G.); (M.V.)
- IRCCS S.Raffaele, 00163 Rome, Italy
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Wu X, Zhang Y, Zhang X. Association between serum testosterone level and cardiovascular health in US male adults: results from the 2013-2016 NHANES. J Sex Med 2025; 22:265-273. [PMID: 39756885 DOI: 10.1093/jsxmed/qdae196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2024] [Revised: 11/08/2024] [Accepted: 12/29/2024] [Indexed: 01/07/2025]
Abstract
BACKGROUND There have been many studies of the association between testosterone and cardiovascular disease (CVD). However, limited research has examined the association between testosterone and Life's Essential 8 (LE8), a recently updated algorithm for assessing cardiovascular health (CVH). OBJECTIVES This study aims to investigate the association between serum total testosterone (TT) levels and LE8 scores-where higher LE8 scores indicate better CVH-among adult males in the United States. METHOD Data from 3308 adult males were extracted from the National Health and Nutrition Examination Survey conducted between 2013 and 2016. Weighted univariate and multivariate linear regression models [β and 95% confidence intervals (CIs)] and logistic regression models [odds ratios (ORs) and 95% CIs] were used to explore the association between testosterone and LE8 and high CVH risk. Additionally, a smoothed curve fit (penalized spline method) and generalized additive model regression were applied to further explore these relationships. OUTCOMES LE8 includes 4 health behaviors (nicotine exposure, diet, physical activity, and sleep duration) and 4 health factors (body mass index, non-high-density lipoprotein cholesterol, blood pressure, and blood glucose). RESULTS Serum TT levels were strongly associated with LE8 scores after adjusting for all confounders (continuous: β = 2.75, 95% CI: 1.92, 3.57, P < .0001; quartiles: Q4 vs Q1: β = 3.89, 95% CI: 2.78, 5.01, P < .0001). Similarly, high levels of TT were associated with a significantly lower CVH risk (OR = 0.59, 95% CI: 0.49, 0.73, P < .001). Compared to low TT levels, normal TT levels significantly reduced the risk of CVH (OR = 0.51, 95% CI: 0.38, 0.69, P < .001). Smoothed curve fitting showed a positive linear correlation between TT levels and LE8 scores, as well as a consistent linear negative correlation with CVH risk. CLINICAL IMPLICATIONS These findings highlight the importance of endogenous TT levels in promoting CVH and provide new insights into factors influencing CVH. STRENGTHS AND LIMITATIONS This study is the first to investigate the association between serum TT level and LE8 scores as well as LE8-assessed CVH among adult males. However, the observational nature of this study precludes any assessment of causality. CONCLUSIONS This study demonstrates a robust positive association between serum TT levels and LE8 scores in a nationally representative sample of adult men in the United States.
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Affiliation(s)
- Xu Wu
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China
- Institute of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022, Anhui Province, China
| | - Yuyang Zhang
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China
- Institute of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022, Anhui Province, China
| | - Xiansheng Zhang
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China
- Institute of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022, Anhui Province, China
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8
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Akkus O, Sen F, Yasdıbas R, Otegen AT, Huzmeli I, Akkus G. Is Low-free Triiodothyronine (fT3) Associated with Increased Morbidity in Patients Admitted to Coronary Care Units? Endocr Metab Immune Disord Drug Targets 2025; 25:57-65. [PMID: 38706313 DOI: 10.2174/0118715303287732240201122412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/17/2024] [Accepted: 01/22/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND The effects of thyroid hormone on patients hospitalized in coronary intensive care units are still controversial. OBJECTIVE We retrospectively examined thyroid hormone levels and their impact on cardiovascular morbidity in patients admitted to coronary intensive care units. METHODS A total of 208 (Female/Male; 46.6%/53.4%) patients without any history of thyroid disease were enrolled and screened. Patients with specific heart disease and existing thyroid hormone parameters were included in the study. Low triiodothyronine syndrome is characterized by reduced serum total or free T3 (fT3) concentrations in normal free T4 (fT4) and TSH levels. RESULTS The common diagnosis of the patients in the coronary care unit is acute coronary syndrome (n = 59, 28.2 %) and heart failure (n = 46, 23.3%). Patients were divided into two groups according to left ventricular ejection fraction percentages (LVEF ≤39% vs LVEF ≥40%). Plasma fT3 levels were significantly correlated with low LVEF (≤39%) (p =0.002). fT3 (r = -0.183, p =0.013) and hospitalization etiology (r = -0.161, p =0.023) were also the most critical parameters affecting the length of hospitalization. CONCLUSION Low fT3 was associated with reduced ejection fraction and prolonged hospitalization, which may lead to potential morbidities in HF patients and may be useful in risk stratification and treatment strategies.
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Affiliation(s)
- Oguz Akkus
- Department of Cardiology, Mustafa Kemal University, Antakya, Türkiye
| | - Fatih Sen
- Department of Cardiology, Mustafa Kemal University, Antakya, Türkiye
| | - Ramazan Yasdıbas
- Department of Cardiology, Mustafa Kemal University, Antakya, Türkiye
| | | | - Irem Huzmeli
- Department of Physiotherapy and Rehabilitation, Hatay Mustafa Kemal University, Antakya, Türkiye
| | - Gamze Akkus
- Department of Endocrinology, Cukurova University, Adana, Türkiye
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Guo DC, Chen ZT, Wang X, Gao JW, Gao QY, Huang ZG, Chen YX, Liu PM, Wang JF, Zhang HF. Life's Essential 8, Genetic Susceptibility, and Incident Cardiac Arrhythmias: A Population-Based Prospective Cohort Study. Can J Cardiol 2025; 41:114-123. [PMID: 39009185 DOI: 10.1016/j.cjca.2024.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 06/22/2024] [Accepted: 07/09/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND Ideal cardiovascular health (CVH) has been associated with reduced cardiovascular disease risk and mortality, but its association with cardiac arrhythmias was still unsettled. In this prospective cohort study, we investigated the relationship between CVH and subsequent arrhythmias risk, including atrial fibrillation (AF)/flutter, ventricular arrhythmias, and bradyarrhythmias. METHODS Data from 287,264 participants initially free of arrhythmias in the UK Biobank were included in the analysis. Cox regression models were used to examine the relationship between CVH levels calculated by the American Heart Association's Life's Essential 8 (LE8) metrics, with cardiac arrhythmias risk. RESULTS During a median follow-up period of 12.8 years, 16,802 incident AF, 2186 incident ventricular arrhythmias, and 4128 incident bradyarrhythmias were identified. After adjustment for confounding factors, participants with high initial CVH levels had significantly lower risks for AF (hazard ratio [HR], 0.63; 95% confidence interval [CI], 0.59-0.68), ventricular arrhythmias (HR, 0.48; 95% CI, 0.40-0.59), and bradyarrhythmias (HR, 0.64; 95% CI, 0.55-0.74) compared with those with low CVH levels. Furthermore, each standard deviation (SD) increase in LE8 scores was associated with a 15% lower risk of AF, 21% for ventricular arrhythmias, and 13% for bradyarrhythmias, respectively. In addition, a significant interaction was observed between CVH levels and the genetic risk of AF (P for interaction, 0.021). The reverse correlation seemed to be more noticeable in individuals with a lower genetic susceptibility to AF. CONCLUSIONS We concluded that higher levels of CVH, estimated by the LE8 metrics, were associated with significantly reduced risks of AF, ventricular arrhythmias, and bradyarrhythmias.
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Affiliation(s)
- Da-Chuan Guo
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhi-Teng Chen
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiang Wang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jing-Wei Gao
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qing-Yuan Gao
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ze-Gui Huang
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yang-Xin Chen
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Pin-Ming Liu
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jing-Feng Wang
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hai-Feng Zhang
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
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Swiatek VM, Fischer I, Khajuria R, Amini A, Steinkusch H, Rashidi A, Stein KP, Dumitru CA, Sandalcioglu IE, Neyazi B. The MARVIN Hypothesis: Linking Unhealthy Lifestyles to Intracranial Aneurysm Rupture Risk and Clinical Prognosis. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1813. [PMID: 39596998 PMCID: PMC11596396 DOI: 10.3390/medicina60111813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Revised: 10/24/2024] [Accepted: 10/30/2024] [Indexed: 11/29/2024]
Abstract
Background and Objectives: The rising incidence of modifiable lifestyle risk factors and cardiovascular diseases, driven by poor diet, inactivity, excessive alcohol use, and smoking, may influence the development and rupture of intracranial aneurysms (IA). This study aimed to examine the impact of lifestyle-related and cardiovascular risk factors on IA rupture and patient outcomes. Materials and Methods: We developed the "MARVIN" (Metabolic and Adverse Risk Factors and Vices Influencing Intracranial Aneurysms) model and conducted a retrospective analysis of 303 patients with 517 IAs, treated between 2007 and 2020. Of these, 225 patients were analyzed for rupture status and 221 for clinical outcomes. The analysis focused on hypertension, diabetes, hypercholesterolemia, vascular diseases, nicotine and alcohol abuse, obesity, aneurysm rupture status, and clinical outcomes. Logistic regression was used to evaluate the impact of these risk factors. Results: Among those with risk factors, 24.9% (56/225) and 25.3% (56/221) had one, 32.0% (72/225) and 30.8% (68/221) had two, 20.0% (45/225) and 20.4% (45/221) had three, 12.0% (27/225) and 12.2% (27/221) had four, 4.0% (9/225) and 4.1% (9/221) had five, 0.9% (2/225) had six in both groups, and 0.4% (1/225) and 0.5% (1/221) had seven risk factors, respectively. Strong relationships were found between lifestyle-related vascular risk factors, indicating multiple comorbidities in patients with unhealthy habits. Smokers with ruptured aneurysms had higher WFNS (World Federation of Neurosurgical Societies) scores, but nicotine abuse did not affect long-term outcomes. The most significant predictors for poor outcomes were WFNS score and age, while age and a history of vascular diseases were protective against rupture. Despite the high prevalence of modifiable risk factors, they did not significantly influence rupture risk. Conclusions: The findings suggest a need for multifactorial risk assessment strategies in managing IA patients. Future studies with larger cohorts are required to confirm these results and better understand IA progression.
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Affiliation(s)
- Vanessa M. Swiatek
- Department of Neurosurgery, Otto-von-Guericke University, 39120 Magdeburg, Germany; (V.M.S.); (A.A.); (H.S.); (A.R.); (K.-P.S.); (C.A.D.); (I.E.S.)
| | - Igor Fischer
- Department of Neurosurgery, University Hospital Düsseldorf, 40225 Düsseldorf, Germany; (I.F.); (R.K.)
| | - Rajiv Khajuria
- Department of Neurosurgery, University Hospital Düsseldorf, 40225 Düsseldorf, Germany; (I.F.); (R.K.)
| | - Amir Amini
- Department of Neurosurgery, Otto-von-Guericke University, 39120 Magdeburg, Germany; (V.M.S.); (A.A.); (H.S.); (A.R.); (K.-P.S.); (C.A.D.); (I.E.S.)
| | - Hannah Steinkusch
- Department of Neurosurgery, Otto-von-Guericke University, 39120 Magdeburg, Germany; (V.M.S.); (A.A.); (H.S.); (A.R.); (K.-P.S.); (C.A.D.); (I.E.S.)
| | - Ali Rashidi
- Department of Neurosurgery, Otto-von-Guericke University, 39120 Magdeburg, Germany; (V.M.S.); (A.A.); (H.S.); (A.R.); (K.-P.S.); (C.A.D.); (I.E.S.)
| | - Klaus-Peter Stein
- Department of Neurosurgery, Otto-von-Guericke University, 39120 Magdeburg, Germany; (V.M.S.); (A.A.); (H.S.); (A.R.); (K.-P.S.); (C.A.D.); (I.E.S.)
| | - Claudia A. Dumitru
- Department of Neurosurgery, Otto-von-Guericke University, 39120 Magdeburg, Germany; (V.M.S.); (A.A.); (H.S.); (A.R.); (K.-P.S.); (C.A.D.); (I.E.S.)
| | - I. Erol Sandalcioglu
- Department of Neurosurgery, Otto-von-Guericke University, 39120 Magdeburg, Germany; (V.M.S.); (A.A.); (H.S.); (A.R.); (K.-P.S.); (C.A.D.); (I.E.S.)
| | - Belal Neyazi
- Department of Neurosurgery, Otto-von-Guericke University, 39120 Magdeburg, Germany; (V.M.S.); (A.A.); (H.S.); (A.R.); (K.-P.S.); (C.A.D.); (I.E.S.)
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11
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Sadiq R, Broni EK, Levine LD, Retnakaran R, Echouffo-Tcheugui JB. Association of ideal cardiovascular health and history of gestational diabetes mellitus in NHANES 2007-2018. Diabetes Res Clin Pract 2024; 217:111857. [PMID: 39284458 PMCID: PMC11563866 DOI: 10.1016/j.diabres.2024.111857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Revised: 08/20/2024] [Accepted: 09/13/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND Population-based studies of ideal cardiovascular health (CVH) and gestational diabetes mellitus (GDM) are scarce. METHODS We conducted a cross-sectional analysis of 2007-2018 National Health Examination and Nutrition Survey women aged ≥ 20 years, who had data on Life's Simple 7 (LS7) metrics and self-reported GDM history. Each LS7 metric was assigned a score of 0 (non-ideal) and 1(ideal) and summed to obtain total ideal CVH scores (0-7). We used logistic regression models to assess associations between LS7 ideal CVH scores (0-7) and GDM history, accounting for socio-demographic factors. RESULTS Among 9199 women (mean age: 46 years, 8 % with a GDM history), there was a progressive decrease in the odds of past GDM history across increasing ideal CVH scores. Compared to females with 0-1 ideal CVH scores, females with ideal CVH scores of 3, 4 and 5-7 had an associated 39 % lower [odds ratio: 0.61 (95 % CI: 0.41-0.90)], 50 % lower [0.50 (0.33-0.76)] and 66 % lower [0.34 (0.20-0.56)] odds of past GDM history, respectively. There were notable racial/ethnic and citizenship/nativity differences in these associations. CONCLUSIONS Women with higher ideal CVH scores had lower odds of GDM history. Our findings underscore the importance of optimizing cardiometabolic health among women with GDM history.
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Affiliation(s)
- Rabail Sadiq
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Eric K Broni
- Pregnancy and Perinatal Research Center, Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Lisa D Levine
- Pregnancy and Perinatal Research Center, Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada; Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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12
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Jia X, Ding Y, Hu C, Lin H, Lin L, Wu X, Qi H, Wang S, Zheng R, Zheng J, Xu M, Xu Y, Wang T, Zhao Z, Chen Y, Li M, Ning G, Wang W, Hu W, Bi Y, Lu J. The association of ideal cardiovascular health and its change with subclinical atherosclerosis according to glucose status: A prospective cohort study. J Diabetes 2024; 16:e70007. [PMID: 39387213 PMCID: PMC11464993 DOI: 10.1111/1753-0407.70007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 08/12/2024] [Accepted: 08/20/2024] [Indexed: 10/15/2024] Open
Abstract
BACKGROUND An updated definition was developed to better evaluate cardiovascular health (CVH). We aimed to investigate whether optimal or improvement of six CVH metrics defined by new Life's Essential 8 (LE8) may counteract the risk of subclinical atherosclerosis among patients with hyperglycemia. METHODS We conducted a prospective analysis of 5225 participants without prior cardiovascular diseases, of whom 4768 had complete data on CVH change. Subjects with CVH scores of 0-49, 50-79, and 80-100 points were categorized as having low, moderate, or high CVH, respectively. Subclinical atherosclerosis was evaluated by brachial-ankle pulse wave velocity, pulse pressure and albuminuria, both separately and in combination. RESULTS Of the 5225 participants, 1937 (37.1%) had normal glucose regulation, while 3288 (62.9%) had hyperglycemia. The multivariable-adjusted odds ratio (OR) for composite subclinical atherosclerosis was 2.34 (95% confidence interval [CI], 1.88-2.91), 1.43 (95% CI, 1.21-1.70), and 0.74 (95% CI, 0.46-1.18), for participants with hyperglycemia who had low, moderate, or high overall CVH scores, respectively, compared with participants with normal glucose regulation. In addition, compared with those with stable CVH and normal glucose regulation, participants who exhibited greater improvements in overall CVH from 2010 to 2014 had a reduced risk of composite subclinical atherosclerosis with an OR of 0.72 (95% CI, 0.53-0.98) for those with normal glucose regulation, and 1.13 (95% CI, 0.87-1.48) for those with hyperglycemia. CONCLUSIONS The novel defined CVH using six metrics was inversely associated with subsequent risk of subclinical atherosclerosis. Both the status of CVH and its changes modified the relationship between hyperglycemia and subclinical atherosclerosis.
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Affiliation(s)
- Xiaojing Jia
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yilan Ding
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Lin Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xueyan Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Hongyan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Weiguo Hu
- Department of Geriatrics, Medical Center on Aging, Ruijin hospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
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Zhong J, Jiang J, Guo L, Liu Y, Wu S, Peng X, Chen S, Qin X, Dong S, Huang R, Zheng W. 10-year trajectory of Life's Essential 8 and incident hypertension: a community-based cohort study. Lipids Health Dis 2024; 23:278. [PMID: 39223616 PMCID: PMC11368014 DOI: 10.1186/s12944-024-02257-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 08/15/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND The health effects of Life's Essential 8 (LE8) on chronic diseases have been disclosed, but its association with hypertension remains unknown. The current study aimed to explore the potential link between 10-year LE8 trajectory and the incidence of hypertension. METHODS LE8 was constructed from four behaviors and four metabolic factors, ranging from 0 to 100. Latent mixture models were used to identify trajectories of LE8 scores during 2006 to 2016. Incident hypertension was diagnosed based on self-reported clinical diagnoses and physical examinations from 2016 to 2020. Cox models were employed to assess the association of LE8 trajectories with hypertension. In addition to incorporating the mean hs-CRP levels from 2006 to 2016, age, sex, monthly income, educational level, and occupation at recruitment were adjusted for as confounding factors. RESULTS 7500 participants aged 40.28 ± 10.35 years were included in the study, of whom 2907 (38.76%) were women. Five LE8 trajectory patterns were identified. After around four-year follow-up, 667 hypertension events were observed. Compared to the Low-Stable trajectory, the hazard ratios and 95% confidence intervals for the Moderate-Increasing, Moderate-Decreasing, Moderate-Stable, and High-Stable trajectories were 0.51 (0.40, 0.65), 0.81 (0.64, 1.02), 0.45 (0.36, 0.58), 0.23 (0.16, 0.33), respectively. The risk of incident hypertension decreased as participants improved their LE8 status. The robustness of the primary results was confirmed through several sensitivity analyses. CONCLUSIONS LE8 trajectories were associated with the incident hypertension. People who improved their LE8 scores over time experienced a decreased risk of hypertension, even if they started with lower LE8 scores initially.
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Affiliation(s)
- Jiwen Zhong
- Department of Critical Care Medicine, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, 51900, Guangdong, China
| | - Jinguo Jiang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, Liaoning, China
| | - Liang Guo
- Department of Cardiology, Renmin Hospital of Wuhan University, 430060, Wuchang, Wuhan, China
- Hubei Key Laboratory of Cardiology, 430060, Wuchang, Wuhan, China
| | - Yang Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38# Xueyuan Road, Haidian District, 100191, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, No.57 Xinhua East Road, 063000, Tangshan, Hebei Province, China
| | - Xinyi Peng
- Hypertension Center, State Key Laboratory of Cardiovascular Disease of China, National Center for Cardiovascular Diseases of China, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, No.57 Xinhua East Road, 063000, Tangshan, Hebei Province, China
| | - Xueying Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38# Xueyuan Road, Haidian District, 100191, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Shaohong Dong
- Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, The Second Clinical Medical College, The First Affiliated Hospital, Shenzhen People's Hospital, Jinan University, Southern University of Science and Technology), 518020, Shenzhen, Guangdong, China
| | - Ruijun Huang
- Department of Critical Care Medicine, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, 51900, Guangdong, China.
| | - Wei Zheng
- Department of Critical Care Medicine, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, 51900, Guangdong, China.
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Guo F, Chen X, Howland S, Maldonado LE, Powell S, Gauderman WJ, McConnell R, Yan M, Whitfield L, Li Y, Bastain TM, Breton CV, Hodis HN, Farzan SF. Association Between Cardiovascular Health and Subclinical Atherosclerosis Among Young Adults Using the American Heart Association's "Life's Essential 8" Metrics. J Am Heart Assoc 2024; 13:e033990. [PMID: 39077816 PMCID: PMC11964082 DOI: 10.1161/jaha.123.033990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 05/29/2024] [Indexed: 07/31/2024]
Abstract
BACKGROUND This study investigated the association of American Heart Association's cardiovascular health guidelines Life's Essential 8 (LE8) and Life's Simple 7 (LS7) with carotid artery outcomes among young adults. METHODS AND RESULTS This cross-sectional study included 240 young adults (age 24.2±1.6 years) who underwent a carotid ultrasound between 2018 and 2022. LE8 score was calculated from 4 health factors (body mass index, non-high-density lipoprotein cholesterol, fasting glucose, and blood pressure), and 4 health behaviors (dietary intake, physical activity, tobacco use, and sleep). LS7 was calculated from 7 metrics (all LE8 metrics, except for sleep) with a simpler algorithm. Higher LE8 and LS7 scores both indicate better health and better adherence to American Heart Association guidelines. Carotid artery outcomes included carotid artery intima-media thickness, arterial stiffness (eg, distensibility), and echogenicity determined by grayscale median of the intima media complex. Results of linear regression analyses, adjusting for age, sex, ethnicity, and parents' highest degree, indicated that a 1-SD increase in LE8 score was associated with 12.14 μm lower carotid artery intima-media thickness (95% CI, -20.93 to 3.35), 1.17 (10-6×m2/N) greater distensibility (95% CI, 0.09-2.24), suggesting less arterial stiffness, and 2.66 μm greater grayscale median of the intima media complex (95% CI, 0.58-4.75), suggesting less lipid deposition. Analyses using LS7 score demonstrated comparable findings. Health factor metrics demonstrated stronger association with carotid artery outcomes, as compared with behavior metrics. CONCLUSIONS Greater adherence to the American Heart Association's cardiovascular health guidelines is associated with lower risk for subclinical atherosclerosis in young adults. LE8 and LS7 demonstrated comparable associations with carotid artery outcomes.
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Affiliation(s)
- Fangqi Guo
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Xinci Chen
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Steve Howland
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Luis E. Maldonado
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Sydney Powell
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - W. James Gauderman
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Mingzhu Yan
- Atherosclerosis Research UnitUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Lora Whitfield
- Atherosclerosis Research UnitUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Yanjie Li
- Atherosclerosis Research UnitUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Howard N. Hodis
- Atherosclerosis Research UnitUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Shohreh F. Farzan
- Department of Population and Public Health Sciences, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
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15
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Dinh VT, Hosalli R, Mullachery PH, Aggarwal B, German CA, Makarem N. Enhancing the Cardiovascular Health Construct With a Psychological Health Metric for Predicting Mortality Risk. JACC. ADVANCES 2024; 3:101112. [PMID: 39171211 PMCID: PMC11337711 DOI: 10.1016/j.jacadv.2024.101112] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 06/08/2024] [Accepted: 06/09/2024] [Indexed: 08/23/2024]
Abstract
Background The American Heart Association's Life's Essential 8 (LE8) Presidential Advisory deemed psychological health foundational for cardiovascular health (CVH) but did not include it as a CVH metric. Objectives The purpose of this study was to evaluate associations of a CVH construct enhanced with a ninth metric for psychological health based on readily administered depression screening with mortality risk in U.S. adults. Methods Participants were 21,183 adults (mean age: 48y, 51% female, 11% Black, 15% Hispanic, 65% White) from the 2011 to 2018 National Health and Nutrition Examination Survey. The LE8 algorithm was used to assess CVH. Two enhanced CVH constructs that include a ninth psychological health metric based on depression screening using the Patient Health Questionnaires (PHQ-2 and PHQ-9) were computed. Multivariable Cox proportional hazards models compared all-cause and cause-specific mortality risk across CVH score tertiles and a priori defined categories (high: 80-100, moderate: 50-79, low: 0-49) in the overall sample and by sex and race and ethnicity. Results There were 1,397 deaths (414 cardiovascular and 329 cancer deaths). High vs low CVH scores, enhanced with PHQ-2 and PHQ-9, were associated with 69% and 70% lower mortality risk, while a high vs low LE8 score was associated with 65% lower risk (p-trend<0.001). Higher LE8 and enhanced CVH scores predicted lower mortality risk in both sexes and in Black and White but not Hispanic adults and were also associated with lower cardiovascular and cancer mortality. Both enhanced CVH scores had excellent performance for predicting mortality, similar to the LE8 score (C-statistic = 0.843 vs 0.842, P < 0.001). Conclusions A CVH construct enhanced with psychological health strongly predicts mortality. Inclusion of psychological health as a ninth CVH metric, with depression screening as a feasible proxy in clinical and public health settings, should be considered.
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Affiliation(s)
- Vanessa T. Dinh
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York, USA
| | - Rahul Hosalli
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York, USA
| | - Pricila H. Mullachery
- Department of Health Services Administration and Policy, College of Public Health, Temple University, Philadelphia, Pennsylvania, USA
| | - Brooke Aggarwal
- Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Charles A. German
- Section of Cardiology, University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA
| | - Nour Makarem
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York, USA
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16
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Gaye B, Naji NB, Sims M, Cuffee Y, Ogungbe O, Michos ED, Lassale C, Sabouret P, Jouven X. Deep Diving Into the Cardiovascular Health Paradox: A Journey Towards Personalized Prevention. Public Health Rev 2024; 45:1606879. [PMID: 39145154 PMCID: PMC11322578 DOI: 10.3389/phrs.2024.1606879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 06/24/2024] [Indexed: 08/16/2024] Open
Abstract
Objectives The Life's Simple 7 score (LS7) promotes cardiovascular health (CVH). Despite this, some with optimal LS7 develop cardiovascular disease (CVD), while others with poor CVH do not, termed the "CVH paradox." This paper explores pathways explaining this paradox. Methods We examined methodological aspects: 1) misclassification bias in self-reported lifestyle factors (smoking, physical activity, diet); 2) cumulative exposure to risk factors over a lifetime, impacting the CVH paradox. Punctual risk factor assessments are suboptimal for predicting outcomes. We proposed personalized prevention using "novel" elements to refine CVH assessment: 1) subclinical vascular disease markers, 2) metabolic biomarkers in blood and urine, 3) emerging risk factors, 4) polygenic risk scores (PRS), 5) epigenetics, and 6) the exposome. Results Addressing the CVH paradox requires a multifaceted approach, reducing misclassification bias, considering cumulative risk exposure, and incorporating novel personalized prevention elements. Conclusion A holistic, individualized approach to CVH assessment and CVD prevention can better reduce cardiovascular outcomes and improve population health. Collaboration among researchers, healthcare providers, policymakers, and communities is essential for effective implementation and realization of these strategies.
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Affiliation(s)
- Bamba Gaye
- Alliance for Medical Research in Africa (AMedRA), Department of Medical Physiology, Cheikh Anta Diop University, Dakar, Senegal
- Université Paris Cité, PARCC, INSERM, Paris, France
| | | | - Mario Sims
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, United States
| | - Yendelela Cuffee
- Alliance for Medical Research in Africa (AMedRA), Epidemiology Program, University of Delaware, Newark, DE, United States
| | - Oluwabunmi Ogungbe
- Johns Hopkins University School of Nursing, Baltimore, MD, United States
| | - Erin D. Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Camille Lassale
- Alliance for Medical Research in Africa (AMedRA), Barcelona Institute for Public Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Pierre Sabouret
- Heart Institute, Pitié Salpétrière Hospital, Sorbonne University, Paris, France
- National College of French Cardiologists, Paris, France
| | - Xavier Jouven
- Université Paris Cité, PARCC, INSERM, Paris, France
- Assistance Publique-Hôpitaux de Paris, Georges Pompidou European Hospital, Cardiology Department, Paris, France
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17
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Te Hoonte F, Spronk M, Sun Q, Wu K, Fan S, Wang Z, Bots ML, Van der Schouw YT, Uijl A, Vernooij RWM. Ideal cardiovascular health and cardiovascular-related events: a systematic review and meta-analysis. Eur J Prev Cardiol 2024; 31:966-985. [PMID: 38149986 DOI: 10.1093/eurjpc/zwad405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 12/28/2023]
Abstract
AIMS The aim of this study was to systematically review and quantitatively summarize the evidence on the association between Life Simple's 7 (LS7) and multiple cardiovascular diseases (CVDs) and cardiometabolic diseases (CMDs). METHODS AND RESULTS EMBASE and PubMed were searched from January 2010 to March 2022 for observational studies that investigated the association between ideal cardiovascular health (CVH) with CVD or CMD outcomes in an adult population. Two reviewers independently selected studies according to the eligibility criteria, extracted data, and evaluated risk of bias. Data were analysed with a random-effects meta-analysis. This meta-analysis included 59 studies (1 881 382 participants). Participants with ideal CVH had a considerably lower risk of a variety of CVDs and CMDs as compared with those with poor CVH, varying from 40% lower risk for atrial fibrillation (AF) {hazard ratio [HR] = 0.60 [95% confidence interval (CI) 0.44-0.83]} to 82% lower risk for myocardial infarction [HR = 0.18 (95% CI 0.12-0.28)]. Intermediate CVH was associated with 27-57% lower risk in CVDs and CMDs compared with poor CVH, with the highest hazard for AF [HR = 0.73 (95% CI 0.59-0.91)] and the lowest hazard for peripheral arterial disease [HR = 0.43 (95% CI 0.30-0.60)]. CONCLUSION Ideal and moderate CVH were associated with a lower incidence of CVDs and CMDs than poor CVH. Life Simple's 7 holds significant potential for promoting overall CVH and thereby contributing to the prevention of CVDs.
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Affiliation(s)
- Femke Te Hoonte
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Merve Spronk
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Qi Sun
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Kangrui Wu
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Shiqi Fan
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Ziyi Wang
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Michiel L Bots
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Yvonne T Van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Alicia Uijl
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Cardiology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Division of Cardiology, Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Robin W M Vernooij
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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18
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Ravichandran S, Gajjar P, Walker ME, Prescott B, Tsao CW, Jha M, Rao P, Miller P, Larson MG, Vasan RS, Shah RV, Xanthakis V, Lewis GD, Nayor M. Life's Essential 8 Cardiovascular Health Score and Cardiorespiratory Fitness in the Community. J Am Heart Assoc 2024; 13:e032944. [PMID: 38700001 PMCID: PMC11179926 DOI: 10.1161/jaha.123.032944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 02/14/2024] [Indexed: 05/05/2024]
Abstract
BACKGROUND The relation of cardiorespiratory fitness (CRF) to lifestyle behaviors and factors linked with cardiovascular health remains unclear. We aimed to understand how the American Heart Association's Life's Essential 8 (LE8) score (and its changes over time) relate to CRF and complementary exercise measures in community-dwelling adults. METHODS AND RESULTS Framingham Heart Study (FHS) participants underwent maximum effort cardiopulmonary exercise testing for direct quantification of peak oxygen uptake (V̇O2). A 100-point LE8 score was constructed as the average across 8 factors: diet, physical activity, nicotine exposure, sleep, body mass index, lipids, blood glucose, and blood pressure. We related total LE8 score, score components, and change in LE8 score over 8 years with peak V̇O2 (log-transformed) and complementary CRF measures. In age- and sex-adjusted linear models (N=1838, age 54±9 years, 54% women, LE8 score 76±12), a higher LE8 score was associated favorably with peak V̇O2, ventilatory efficiency, resting heart rate, and blood pressure response to exercise (all P<0.0001). A clinically meaningful 5-point higher LE8 score was associated with a 6.0% greater peak V̇O2 (≈1.4 mL/kg per minute at sample mean). All LE8 components were significantly associated with peak V̇O2 in models adjusted for age and sex, but blood lipids, diet, and sleep health were no longer statistically significant after adjustment for all LE8 components. Over an ≈8-year interval, a 5-unit increase in LE8 score was associated with a 3.7% higher peak V̇O2 (P<0.0001). CONCLUSIONS Higher LE8 score and improvement in LE8 over time was associated with greater CRF, highlighting the importance of the LE8 factors in maintaining CRF.
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Affiliation(s)
| | - Priya Gajjar
- Section of Cardiovascular Medicine, Department of MedicineBoston University School of MedicineMAUSA
| | - Maura E. Walker
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMAUSA
- Department of Health Sciences, Sargent College of Health and Rehabilitation SciencesBoston UniversityBostonMAUSA
| | - Brenton Prescott
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMAUSA
| | - Connie W. Tsao
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMAUSA
| | - Mawra Jha
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMAUSA
| | - Prashant Rao
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMAUSA
| | - Patricia Miller
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Martin G. Larson
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Ramachandran S. Vasan
- Framingham Heart StudyFraminghamMAUSA
- University of Texas School of Public HealthSan AntonioTXUSA
- Departments of Medicine and Population Health SciencesUniversity of Texas Health Science CenterSan AntonioTXUSA
| | - Ravi V. Shah
- Vanderbilt Translational and Clinical Research Center, Cardiology DivisionVanderbilt University Medical CenterNashvilleTNUSA
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Gregory D. Lewis
- Cardiology Division, Cardiovascular Research Center and Pulmonary Critical Care Unit, Department of MedicineMassachusetts General HospitalBostonMAUSA
| | - Matthew Nayor
- Section of Cardiovascular Medicine, Department of MedicineBoston University School of MedicineMAUSA
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
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19
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Liu Q, Xiang H, Chen S, Ouyang J, Liu H, Zhang J, Chai Y, Gao P, Zhang X, Fan J, Zheng X, Lu H. Associations between Life's Essential 8 and abdominal aortic calcification among US Adults: a cross-sectional study. BMC Public Health 2024; 24:1090. [PMID: 38641579 PMCID: PMC11031939 DOI: 10.1186/s12889-024-18622-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 04/16/2024] [Indexed: 04/21/2024] Open
Abstract
BACKGROUND Cardiovascular health (CVH) and abdominal aortic calcification (AAC) are closely linked to cardiovascular disease (CVD) and related mortality. However, the relationship between CVH metrics via Life's Essential 8 (LE8) and AAC remains unexplored. METHODS The study analyzed data from the 2013-2014 National Health and Nutrition Examination Survey (NHANES) cohort, which included adults aged 40 or above. The research used the LE8 algorithm to evaluate CVH. Semi-quantitative AAC-24 scoring techniques were employed to assess AAC, categorized into no calcification, mild to moderate calcification, and severe calcification. RESULTS The primary analysis involved 2,478 participants. Following adjustments for multiple factors, the LE8 score exhibited a significant association with ACC risk (Mild-moderate ACC: 0.87, 95% CI: 0.81,0.93; Severe ACC: 0.77, 95% CI: 0.69,0.87, all P < 0.001), indicating an almost linear dose-response relationship. Compared to the low CVH group, the moderate CVH group showed lower odds ratios (OR) for mild-moderate and severe calcification (OR = 0.78, 95% CI: 0.61-0.99, P = 0.041; OR = 0.68, 95% CI: 0.46-0.99, P = 0.047, respectively). Moreover, the high CVH group demonstrated even lower ORs for mild-moderate and severe calcification (OR = 0.46, 95% CI: 0.31, 0.69, P < 0.001; OR = 0.29, 95% CI: 0.14, 0.59, P = 0.001, respectively). Interactions were found between chronic kidney disease (CKD) condition, history of CVD, marital status and CVH metrics to ACC. Participants without CKD exhibited a more pronounced negative association between the CVH metric and both mild-moderate and severe ACC. Those lacking a history of CVD, and never married/widowed/divorced/separated showed a stronger negative association between the CVH metric and severe ACC. CONCLUSIONS The novel CVH metrics demonstrated an inverse correlation with the risk of AAC. These findings suggest that embracing improved CVH levels may assist in alleviating the burden of ACC.
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Affiliation(s)
- Quanjun Liu
- Health Management Center, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Cardiology, The Third Xiangya Hospital of Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha, China
| | - Hong Xiang
- Center for Experimental Medicine, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Shuhua Chen
- Department of Biochemistry, School of Life Sciences of Central, South University, Changsha, China
| | - Jie Ouyang
- Health Management Center, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Cardiology, The Third Xiangya Hospital of Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha, China
| | - Huiqin Liu
- Health Management Center, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Cardiology, The Third Xiangya Hospital of Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha, China
| | - Jing Zhang
- Health Management Center, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Cardiology, The Third Xiangya Hospital of Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha, China
| | - Yanfei Chai
- Health Management Center, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Peng Gao
- Health Management Center, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Cardiology, The Third Xiangya Hospital of Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha, China
| | - Xiao Zhang
- Department of Biochemistry, School of Life Sciences of Central, South University, Changsha, China
| | - Jianing Fan
- Health Management Center, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Cardiology, The Third Xiangya Hospital of Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha, China
| | - Xinru Zheng
- Health Management Center, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Cardiology, The Third Xiangya Hospital of Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha, China
| | - Hongwei Lu
- Health Management Center, The Third Xiangya Hospital of Central South University, Changsha, China.
- Department of Cardiology, The Third Xiangya Hospital of Central South University, No. 138, Tongzipo Road, Yuelu District, Changsha, China.
- Center for Experimental Medicine, The Third Xiangya Hospital of Central South University, Changsha, China.
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20
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Li J, Zhang J, Su D, Lin S, Huang Y, Wu S, Xu D. Association between Life's Essential 8 score and high-sensitivity C-reactive protein: A cross-sectional study from NHANES 2015-2018. Clin Cardiol 2024; 47:e24270. [PMID: 38628050 PMCID: PMC11021857 DOI: 10.1002/clc.24270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 03/28/2024] [Accepted: 04/08/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Earlier studies showed a negative correlation between life's simple 7 (LS7) and high-sensitivity C-reactive protein (hs-CRP), but no association has been found between life's essential 8 (LE8), an improved version of LS7, and hs-CRP. HYPOTHESIS This study investigated the association between LE8 and hs-CRP utilizing data from the National Health and Nutritional Examination Survey. METHODS A total of 7229 adults were incorporated in our study. LE8 was scored according to American Heart Association guidelines, and LE8 was divided into health behaviors and health factors. Serum samples of the participants were used to measure hs-CRP. To investigate the association between LE8 and hs-CRP, weighted linear regression, and restricted cubic spline were utilized. RESULTS Among 7229 participants, the average age was 48.03 ± 16.88 years, 3689 (51.2%) were females and the median hs-CRP was 1.92 (0.81-4.49) mg/L. In adjusted weighted linear regression, a negative correlation was observed between the LE8 score and hs-CRP. Compared with the low LE8 score, the moderate LE8 score β was -0.533 (-0.646 to -0.420), and the high LE8 score β was -1.237 (-1.376 to -1.097). Health behaviors and health factors were also negatively associated with hs-CRP. In stratified analyses, the negative correlation between LE8 and hs-CRP remained consistent across subgroups. CONCLUSION There was a negative correlation between LE8 as well as its sub-indicator scores and hs-CRP. Maintaining a positive LE8 score may be conducive to lowering the level of hs-CRP.
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Affiliation(s)
- Jianan Li
- School of Public HealthXiamen UniversityXiamenFujianChina
| | - Jie Zhang
- School of Public HealthXiamen UniversityXiamenFujianChina
| | - Dan Su
- School of Public HealthXiamen UniversityXiamenFujianChina
| | - Sanru Lin
- School of Public HealthXiamen UniversityXiamenFujianChina
| | - Yujie Huang
- Medical Department, Zhongshan Hospital (Xiamen branch)Fudan UniversityXiamenFujianChina
| | - Shujing Wu
- Department of Cardiology, Zhongshan Hospital (Xiamen branch)Fudan UniversityXiamenFujianChina
| | - Demin Xu
- Medical Department, Zhongshan Hospital (Xiamen branch)Fudan UniversityXiamenFujianChina
- Department of Cardiac Surgery, Zhongshan HospitalFudan UniversityShanghaiChina
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21
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Everett BM. The Confusing Landscape of Cardiovascular Health Assessment, Promotion, and Prediction. Circulation 2024; 149:914-916. [PMID: 38498613 DOI: 10.1161/circulationaha.123.067982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Affiliation(s)
- Brendan M Everett
- Divisions of Cardiovascular and Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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22
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Petito LC, McCabe ME, Pool LR, Krefman AE, Perak AM, Marino BS, Juonala M, Kähönen M, Lehtimäki T, Bazzano LA, Liu L, Pahkala K, Laitinen TT, Raitakari OT, Gooding HC, Daniels SR, Skinner AC, Greenland P, Davis MM, Wakschlag LS, Van Horn L, Hou L, Lloyd-Jones DM, Labarthe DR, Allen NB. A Proposed Pediatric Clinical Cardiovascular Health Reference Standard. Am J Prev Med 2024; 66:216-225. [PMID: 37751803 DOI: 10.1016/j.amepre.2023.09.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 09/19/2023] [Accepted: 09/19/2023] [Indexed: 09/28/2023]
Abstract
INTRODUCTION Clinical cardiovascular health is a construct that includes 4 health factors-systolic and diastolic blood pressure, fasting glucose, total cholesterol, and body mass index-which together provide an evidence-based, more holistic view of cardiovascular health risk in adults than each component separately. Currently, no pediatric version of this construct exists. This study sought to develop sex-specific charts of clinical cardiovascular health for age to describe current patterns of clinical cardiovascular health throughout childhood. METHODS Data were used from children and adolescents aged 8-19 years in six pooled childhood cohorts (19,261 participants, collected between 1972 and 2010) to create reference standards for fasting glucose and total cholesterol. Using the models for glucose and cholesterol as well as previously published reference standards for body mass index and blood pressure, clinical cardiovascular health charts were developed. All models were estimated using sex-specific random-effects linear regression, and modeling was performed during 2020-2022. RESULTS Models were created to generate charts with smoothed means, percentiles, and standard deviations of clinical cardiovascular health for each year of childhood. For example, a 10-year-old girl with a body mass index of 16 kg/m2 (30th percentile), blood pressure of 100/60 mm Hg (46th/50th), glucose of 80 mg/dL (31st), and total cholesterol of 160 mg/dL (46th) (lower implies better) would have a clinical cardiovascular health percentile of 62 (higher implies better). CONCLUSIONS Clinical cardiovascular health charts based on pediatric data offer a standardized approach to express clinical cardiovascular health as an age- and sex-standardized percentile for clinicians to assess cardiovascular health in childhood to consider preventive approaches at early ages and proactively optimize lifetime trajectories of cardiovascular health.
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Affiliation(s)
- Lucia C Petito
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois.
| | - Megan E McCabe
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois; Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa
| | - Lindsay R Pool
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Amy E Krefman
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Amanda M Perak
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois; Department of Pediatrics, Lurie Children's Hospital, Chicago, Illinois
| | - Bradley S Marino
- Department of Pediatrics, Lurie Children's Hospital, Chicago, Illinois
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland; Finnish Cardiovascular Research Center-Tampere - FCRCT, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Terho Lehtimäki
- Finnish Cardiovascular Research Center-Tampere - FCRCT, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Department of Clinical Chemistry, Fimlab Laboratories, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Lydia A Bazzano
- Department of Epidemiology, School of Public Health & Tropical Medicine, Tulane University, New Orleans, Los Angeles
| | - Lei Liu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Health and Physical Activity, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Tomi T Laitinen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Health and Physical Activity, University of Turku, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Holly C Gooding
- Division of General Pediatrics and Adolescent Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Stephen R Daniels
- Department of Pediatrics, University of Colorado Anschutz Medical Campus School of Medicine, Aurora, Colorado
| | - Asheley C Skinner
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Philip Greenland
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Matthew M Davis
- Department of Pediatrics, Lurie Children's Hospital, Chicago, Illinois
| | - Lauren S Wakschlag
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, Illinois
| | - Linda Van Horn
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois; Department of Pediatrics, Lurie Children's Hospital, Chicago, Illinois
| | - Darwin R Labarthe
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Norrina B Allen
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, Illinois; Department of Pediatrics, Lurie Children's Hospital, Chicago, Illinois
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23
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Islam SJ, Liu C, Mohandas AN, Rooney K, Nayak A, Mehta A, Ko YA, Kim JH, Sun YV, Dunbar SB, Lewis TT, Taylor HA, Uppal K, Jones DP, Quyyumi AA, Searles CD. Metabolomic signatures of ideal cardiovascular health in black adults. Sci Rep 2024; 14:1794. [PMID: 38245568 PMCID: PMC10799852 DOI: 10.1038/s41598-024-51920-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 01/11/2024] [Indexed: 01/22/2024] Open
Abstract
Plasma metabolomics profiling is an emerging methodology to identify metabolic pathways underlying cardiovascular health (CVH). The objective of this study was to define metabolomic profiles underlying CVH in a cohort of Black adults, a population that is understudied but suffers from disparate levels of CVD risk factors. The Morehouse-Emory Cardiovascular (MECA) Center for Health Equity study cohort consisted of 375 Black adults (age 53 ± 10, 39% male) without known CVD. CVH was determined by the AHA Life's Simple 7 (LS7) score, calculated from measured blood pressure, body mass index (BMI), fasting blood glucose and total cholesterol, and self-reported physical activity, diet, and smoking. Plasma metabolites were assessed using untargeted high-resolution metabolomics profiling. A metabolome wide association study (MWAS) identified metabolites associated with LS7 score after adjusting for age and sex. Using Mummichog software, metabolic pathways that were significantly enriched in metabolites associated with LS7 score were identified. Metabolites representative of these pathways were compared across clinical domains of LS7 score and then developed into a metabolomics risk score for prediction of CVH. We identified novel metabolomic signatures and pathways associated with CVH in a cohort of Black adults without known CVD. Representative and highly prevalent metabolites from these pathways included glutamine, glutamate, urate, tyrosine and alanine, the concentrations of which varied with BMI, fasting glucose, and blood pressure levels. When assessed in conjunction, these metabolites were independent predictors of CVH. One SD increase in the novel metabolomics risk score was associated with a 0.88 higher LS7 score, which translates to a 10.4% lower incident CVD risk. We identified novel metabolomic signatures of ideal CVH in a cohort of Black Americans, showing that a core group of metabolites central to nitrogen balance, bioenergetics, gluconeogenesis, and nucleotide synthesis were associated with CVH in this population.
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Affiliation(s)
- Shabatun J Islam
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Chang Liu
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Appesh N Mohandas
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Kimberly Rooney
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Aditi Nayak
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Anurag Mehta
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Yi-An Ko
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jeong Hwan Kim
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Yan V Sun
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA
- Atlanta VA Health Care System, Decatur, GA, USA
| | - Sandra B Dunbar
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | - Tené T Lewis
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Herman A Taylor
- Department of Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Karan Uppal
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Dean P Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Arshed A Quyyumi
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Charles D Searles
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
- Atlanta VA Health Care System, Decatur, GA, USA.
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24
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Shen R, Zou T. The association between cardiovascular health and depression: Results from the 2007-2020 NHANES. Psychiatry Res 2024; 331:115663. [PMID: 38064908 DOI: 10.1016/j.psychres.2023.115663] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 12/02/2023] [Accepted: 12/04/2023] [Indexed: 01/02/2024]
Abstract
BACKGROUND Limited research has been conducted on the correlation between Life's Essential 8 (LE8), the recently updated algorithm for evaluating cardiovascular health (CVH), and depression. METHODS A total of 21,942 individuals were chosen from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2020. The depression was determined using the Patient Health Questionnaire (PHQ-9), with a score of 10 or higher indicating diagnosis. The LE8 score consists of 8 metrics: sleep health, diet, physical activity, nicotine exposure, body mass index, blood lipids, blood glucose, and blood pressure. Each LE8 metric was scored from 0 to 100 points. The summation of all metrics divided by 8 generated the total LE8 score and was categorized into low (0-49), moderate (50-79), and high (80-100) CVH. Weighted logistic regression and restricted cubic splines (RCS) were used to assess the association between LE8 score and depression. RESULTS A significant inversely nonlinear relationship was observed between LE8 score and depression. When compared to participants with high CVH, those with moderate CVH had multivariable adjusted odds ratios (ORs) for depression of 2.36 (95 % CI, 1.79-3.10), while those with low CVH had ORs of 4.71 (95 % CI, 3.44-6.47). Moreover, the effect size of the LE8 score on depression remained stable in all pre-specified subgroups, with all P-values for interaction being more than 0.05. CONCLUSIONS The results indicate a significant inversely nonlinear relationship between LE8 score and depression, particularly among males. These findings emphasize the importance of maintaining higher CVH as a preventive measure against depression.
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Affiliation(s)
- Ruihuan Shen
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, PR China
| | - Tong Zou
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, PR China.
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25
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Rempakos A, Prescott B, Mitchell GF, Vasan RS, Xanthakis V. Association of Life's Essential 8 With Cardiovascular Disease and Mortality: The Framingham Heart Study. J Am Heart Assoc 2023; 12:e030764. [PMID: 38014669 PMCID: PMC10727315 DOI: 10.1161/jaha.123.030764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 09/14/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND The association of the American Heart Association's updated cardiovascular health score, the Life's Essential 8 (LE8), with cardiovascular disease (CVD) and death is not described in the FHS (Framingham Heart Study). METHODS AND RESULTS We evaluated Framingham Offspring participants at examinations 2 and 6 (n=2888 and 1667; and mean age, 44 and 57 years, respectively), free of CVD with information on LE8 components. Using age-sex-adjusted Cox models, we related LE8 and its change (examination 2 to examination 6) with CVD and death risk and compared associations with those of the Life's Simple 7 score. Mean LE8 score at examination 2 was 67 points (minimum, 26 points; maximum, 100 points). At both examinations, participants were reclassified to a different cardiovascular health status, depending on which method (LE8 versus Life's Simple 7) was used (60% of participants in ideal Life's Simple 7 status were in intermediate LE8 category). On follow-up after examination 2 (median, 30 and 33 years for CVD and death, respectively), we observed 966 CVD events, and 1195 participants died. Participants having LE8≥68 (sample median) were at lower CVD and death risk compared with those with LE8<68 (examination 2: CVD hazard ratio [HR], 0.47 [95% CI, 0.41-0.54]; death HR, 0.55 [95% CI, 0.49-0.62]; all P<0.001). Participants maintaining low LE8 scores during life course were at highest CVD and death risk (CVD: HRs ranging from 1.8 to 2.3; P<0.001; death HR, 1.45 [95% CI, 1.13-1.85]; P=0.003 versus high-high group). CONCLUSIONS Further studies are warranted to elucidate whether the LE8 score is a better marker of CVD and death risk, compared with Life's Simple 7 score.
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Affiliation(s)
| | - Brenton Prescott
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMA
| | | | - Ramachandran S. Vasan
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMA
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart StudyFraminghamMA
- Department of EpidemiologyBoston University School of Public HealthBostonMA
- University of Texas School of Public HealthSan AntonioTX
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMA
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart StudyFraminghamMA
- Department of BiostatisticsBoston University School of Public HealthBostonMA
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26
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Deng K, Gupta DK, Shu XO, Lipworth L, Zheng W, Thomas VE, Cai H, Cai Q, Wang TJ, Yu D. Metabolite Signature of Life's Essential 8 and Risk of Coronary Heart Disease Among Low-Income Black and White Americans. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2023; 16:e004230. [PMID: 38014580 PMCID: PMC10843634 DOI: 10.1161/circgen.123.004230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 09/26/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Life's essential 8 (LE8) is a comprehensive construct of cardiovascular health. Yet, little is known about the LE8 score, its metabolic correlates, and their predictive implications among Black Americans and low-income individuals. METHODS In a nested case-control study of coronary heart disease (CHD) among 299 pairs of Black and 298 pairs of White low-income Americans from the Southern Community Cohort Study, we estimated LE8 score and applied untargeted plasma metabolomics and elastic net with leave-one-out cross-validation to identify metabolite signature (MetaSig) of LE8. Associations of LE8 score and MetaSig with incident CHD were examined using conditional logistic regression. The mediation effect of MetaSig on the LE8-CHD association was also examined. The external validity of MetaSig was evaluated in another nested CHD case-control study among 299 pairs of Chinese adults. RESULTS Higher LE8 score was associated with lower CHD risk (standardized odds ratio, 0.61 [95% CI, 0.53-0.69]). The MetaSig, consisting of 133 metabolites, showed significant correlation with LE8 score (r=0.61) and inverse association with CHD (odds ratio, 0.57 [0.49-0.65]), robust to adjustment for LE8 score and across participants with different sociodemographic and health status ([odds ratios, 0.42-0.69]; all P<0.05). MetaSig mediated a large portion of the LE8-CHD association: 53% (32%-80%). Significant associations of MetaSig with LE8 score and CHD risk were found in validation cohort (r=0.49; odds ratio, 0.57 [0.46-0.69]). CONCLUSIONS Higher LE8 score and its MetaSig were associated with lower CHD risk among low-income Black and White Americans. Metabolomics may offer an objective measure of LE8 and its metabolic phenotype relevant to CHD prevention among diverse populations.
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Affiliation(s)
- Kui Deng
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Deepak K. Gupta
- Vanderbilt Translational & Clinical Cardiovascular Research Center & Division of Cardiovascular Medicine, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Xiao-Ou Shu
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Loren Lipworth
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Wei Zheng
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Victoria E. Thomas
- Vanderbilt Translational & Clinical Cardiovascular Research Center & Division of Cardiovascular Medicine, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Hui Cai
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Qiuyin Cai
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Thomas J. Wang
- Dept of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Danxia Yu
- Vanderbilt Epidemiology Center and Division of Epidemiology, Dept of Medicine, Vanderbilt University Medical Center, Nashville, TN
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27
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Wang J, Zhang T, Xu F, Gao W, Chen M, Zhu H, Xu J, Yin X, Pang J, Zhang S, Wei M, Chen J, Liu Y, Yu X, Chew DP, Chen Y. GDF-15 at admission predicts cardiovascular death, heart failure, and bleeding outcomes in patients with CAD. ESC Heart Fail 2023; 10:3123-3132. [PMID: 37620152 PMCID: PMC10567639 DOI: 10.1002/ehf2.14484] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 06/01/2023] [Accepted: 07/04/2023] [Indexed: 08/26/2023] Open
Abstract
AIMS We aimed to investigate the independent associations between growth differentiation factor 15 (GDF-15) level at admission and cardiovascular (CV) death, thrombotic events, heart failure (HF), and bleeding outcomes in patients with coronary artery disease (CAD). METHODS AND RESULTS We measured the plasma concentrations of GDF-15 centrally in patients from the BIomarker-based Prognostic Assessment for patients with Stable angina and acute coronary Syndrome (BIPass) registry, which consecutively enrolled patients with CAD from November 2017 to September 2019 at five tertiary hospitals in China. The outcomes included CV death, thrombotic events [myocardial infarction (MI) and ischaemic stroke], HF events [acute HF during hospitalization and hospitalization for HF post-discharge (A/H HF) and cardiogenic shock], and bleeding outcomes [non-coronary artery bypass grafting-related major bleeding and clinically significant bleeding (CSB)] during the 12 month follow-up period after hospitalization. Among 6322 patients with CAD {65.4% male, median age 63.7 [inter-quartile range (IQR)] 56.0-70.1 years}, the median concentration of plasma GDF-15 at admission was 1091 (IQR 790.5-1635.0) ng/L. Higher concentrations of GDF-15 were associated with an increased risk of CV death [hazard ratio (HR) 1.98, 95% confidence interval (CI) 1.35-2.88, P < 0.001], A/H HF (HR 2.69, 95% CI 1.92-3.77, P < 0.001), cardiogenic shock (HR 1.46, 95% CI 1.04-2.05, P = 0.029), and CSB (HR 1.48, 95% CI 1.22-1.79, P < 0.001), but not for MI or stroke, after adjusting for clinical risk factors and prognostic biomarkers. Adding GDF-15 to the model with risk factors and biomarkers improved the net reclassification for CV death, A/H HF, cardiogenic shock, and CSB. CONCLUSIONS In patients with CAD, admission levels of GDF-15 were associated with an increased 1 year risk of CV death, HF, and bleeding outcomes, but not with thrombotic events. GDF-15 may be a prognostic biomarker for CV death, HF, and bleeding outcomes and could be used to refine the risk assessment of these specific clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04044066.
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Affiliation(s)
- Jiali Wang
- Department of Emergency and Chest Pain CenterQilu Hospital of Shandong UniversityJinanChina
- Shandong Provincial Clinical Research Center for Emergency and Critical Care MedicineQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Emergency and Critical Care Medicine of Shandong ProvinceQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of CardiologyQilu Hospital of Shandong UniversityJinanChina
| | - Tao Zhang
- Shandong Provincial Clinical Research Center for Emergency and Critical Care MedicineQilu Hospital of Shandong UniversityJinanChina
- Department of Biostatistics, School of Public Health, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Feng Xu
- Department of Emergency and Chest Pain CenterQilu Hospital of Shandong UniversityJinanChina
- Shandong Provincial Clinical Research Center for Emergency and Critical Care MedicineQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Emergency and Critical Care Medicine of Shandong ProvinceQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of CardiologyQilu Hospital of Shandong UniversityJinanChina
| | - Wei Gao
- Department of CardiologyPeking University Third HospitalBeijingChina
| | - Ming Chen
- Department of CardiologyPeking University First HospitalBeijingChina
| | - Huadong Zhu
- Department of Emergency, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijingChina
| | - Jun Xu
- Department of Emergency, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijingChina
| | - Xinxin Yin
- Department of Emergency and Chest Pain CenterQilu Hospital of Shandong UniversityJinanChina
- Shandong Provincial Clinical Research Center for Emergency and Critical Care MedicineQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Emergency and Critical Care Medicine of Shandong ProvinceQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of CardiologyQilu Hospital of Shandong UniversityJinanChina
| | - Jiaojiao Pang
- Department of Emergency and Chest Pain CenterQilu Hospital of Shandong UniversityJinanChina
- Shandong Provincial Clinical Research Center for Emergency and Critical Care MedicineQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Emergency and Critical Care Medicine of Shandong ProvinceQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of CardiologyQilu Hospital of Shandong UniversityJinanChina
| | - Song Zhang
- Department of Emergency and Chest Pain CenterQilu Hospital of Shandong UniversityJinanChina
- Shandong Provincial Clinical Research Center for Emergency and Critical Care MedicineQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Emergency and Critical Care Medicine of Shandong ProvinceQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of CardiologyQilu Hospital of Shandong UniversityJinanChina
| | - Mengke Wei
- Shandong Provincial Clinical Research Center for Emergency and Critical Care MedicineQilu Hospital of Shandong UniversityJinanChina
- Department of Biostatistics, School of Public Health, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Jiahao Chen
- Department of Biostatistics, School of Public Health, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Ying Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Xuezhong Yu
- Department of Emergency, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijingChina
| | - Derek P. Chew
- Department of Cardiovascular MedicineFlinders UniversityAdelaideAustralia
| | - Yuguo Chen
- Department of Emergency and Chest Pain CenterQilu Hospital of Shandong UniversityJinanChina
- Shandong Provincial Clinical Research Center for Emergency and Critical Care MedicineQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Emergency and Critical Care Medicine of Shandong ProvinceQilu Hospital of Shandong UniversityJinanChina
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of CardiologyQilu Hospital of Shandong UniversityJinanChina
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28
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He P, Li H, Ye Z, Liu M, Zhou C, Wu Q, Zhang Y, Yang S, Zhang Y, Qin X. Association of a Healthy Lifestyle, Life's Essential 8 Scores With Incident Macrovascular and Microvascular Disease Among Individuals With Type 2 Diabetes. J Am Heart Assoc 2023; 12:e029441. [PMID: 37609934 PMCID: PMC10547309 DOI: 10.1161/jaha.122.029441] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 03/27/2023] [Indexed: 08/24/2023]
Abstract
Background The association of a healthy lifestyle with the prognosis of type 2 diabetes remains uncertain. We aimed to evaluate the associations of a healthy lifestyle and a higher American Heart Association's Life's Essential 8 score with incident macrovascular and microvascular diseases in type 2 diabetes. Methods and Results A total of 13 543 participants with baseline type 2 diabetes and free of macrovascular and microvascular diseases from the UK Biobank were included. A healthy lifestyle was determined based on body mass index, smoking, alcohol consumption, physical activity, sleep duration, and diet. Life's Essential 8 scores were generated from 8 metrics according to the American Heart Association's cardiovascular health advisory, ranging from 0 to 100. During a median follow-up of 12.1 years, 3279 (24.2%) incident macrovascular diseases and 2557 (18.9%) microvascular diseases were documented. Compared with those with a poor lifestyle, participants with an ideal lifestyle had significantly lower risks of incident macrovascular disease (hazard ratio [HR], 0.46 [95% CI, 0.36-0.59]) and microvascular disease (HR, 0.60 [95% CI, 0.47-0.77]). Significantly lower risks of macrovascular disease (HR, 0.20 [95% CI, 0.05-0.79]) and microvascular disease (HR, 0.24 [95% CI, 0.06-0.98]) were also found in the high cardiovascular health group (Life's Essential 8 scores: 80-100), compared to the low cardiovascular health group (scores: 0-49). Adhering to an ideal lifestyle may prevent 37.0% of macrovascular disease and 24.7% of microvascular disease, and attaining a high cardiovascular health may prevent 71.9% of macrovascular disease and 67.5% of microvascular disease. Conclusions A healthy lifestyle and a higher Life's Essential 8 score were associated with lower risks of macrovascular and microvascular diseases among participants with type 2 diabetes.
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Affiliation(s)
- Panpan He
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Huan Li
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Ziliang Ye
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Mengyi Liu
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Chun Zhou
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Qimeng Wu
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Yanjun Zhang
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Sisi Yang
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Yuanyuan Zhang
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
| | - Xianhui Qin
- Division of NephrologyNanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney DiseaseGuangzhouChina
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Chen H, Tang H, Huang J, Luo N, Zhang X, Wang X. Life's Essential 8 and Mortality in US Adults with Chronic Kidney Disease. Am J Nephrol 2023; 54:516-527. [PMID: 37591229 DOI: 10.1159/000533257] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 07/20/2023] [Indexed: 08/19/2023]
Abstract
INTRODUCTION The current prevalence of chronic kidney disease (CKD) is substantial, and CKD individuals face a heightened risk of mortality, encompassing both all-cause and cause-specific outcomes. The current study aims to investigate the potential impact of adhering to Life's Essential 8 (LE8) on reducing mortality among CKD individuals. METHODS Using the National Health and Nutrition Survey (NHANES) data from 2005 to 2018, we analyzed 22,420 US adults (≥20 years old). CKD is defined by urinary albumin-to-creatinine ratio (≥30 mg/g or 3 mg/mmol) and estimated glomerular filtration rate (<60 mL/min/1.73 m2). The components of LE8, including diet, physical activity (PA), nicotine exposure, sleep, body mass index, blood lipids, blood glucose, and blood pressure (BP), were measured and given a score of 0-100. The total LE8 score was the unweighted average of all components and was divided into low cardiovascular health (CVH) (0-49), moderate CVH (50-79), and high CVH (80-100). A Cox proportional hazards regression model was used to explore the associations of LE8 with all-cause, cardiovascular disease (CVD), and cancer mortality, which were followed prospectively by the National Center for Health Statistics until December 31, 2019. RESULTS In the overall population, individuals with moderate CVH had a 47% lower risk of CKD, while high CVH was linked to a 55% lower risk compared to low CVH. During a median follow-up of 7.58 years, CKD individuals had a 93% higher all-cause mortality rate and a 149% higher CVD mortality rate compared to those without CKD. Among the CKD individuals, every 10-point increase in the LE8 score was associated with reduced risks of 17% for all-cause mortality (especially PA, nicotine exposure, blood glucose, and BP), 18% for CVD mortality (especially PA), and 12% for cancer mortality (especially PA and sleep health). In additional and sensitivity analysis, the results remained significant after further consideration of potential confounding of renal function. Additionally, LE8 demonstrated superior risk stratification for CVD mortality among CKD patients compared with LS7. Interaction was observed between LE8 and age, education level, marital status, and drinking status. CONCLUSION The current study demonstrates that adherence to higher LE8 levels within CKD individuals is associated with a reduced risk of both all-cause and cause-specific mortality.
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Affiliation(s)
- Hongyu Chen
- Department of Cardiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Haoxian Tang
- Department of Clinical Medicine, Shantou University Medical College, Shantou, China
| | - Jingtao Huang
- Department of Clinical Medicine, Shantou University Medical College, Shantou, China
| | - Nan Luo
- Department of Clinical Medicine, Shantou University Medical College, Shantou, China
| | - Xuan Zhang
- Department of Clinical Medicine, Shantou University Medical College, Shantou, China
| | - Xin Wang
- Department of Cardiac Critical Care Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
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Pool LR, Petito LC, Yang X, Krefman AE, Perak AM, Davis MM, Greenland P, Rosenman M, Zmora R, Wang Y, Hou L, Marino BS, Van Horn L, Wakschlag LS, Labarthe D, Lloyd-Jones DM, Allen NB. Cardiovascular health trajectories from age 2-12: a pediatric electronic health record study. Ann Epidemiol 2023; 83:40-46.e4. [PMID: 37084989 DOI: 10.1016/j.annepidem.2023.04.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/13/2023] [Accepted: 04/17/2023] [Indexed: 04/23/2023]
Abstract
PURPOSE Many children have non-ideal cardiovascular health (CVH), but little is known about the course of CVH in early childhood. We identified CVH trajectories in children and assess the generalizability of these trajectories in an external sample. METHODS We used data spanning 2010-2018 from children aged 2-12 years within the Chicago Area Patient-Centered Outcomes Research Network-an electronic health record network. Four clinical systems comprised the derivation sample and a fifth the validation sample. Body mass index, blood pressure, cholesterol, and blood glucose were categorized as ideal, intermediate, and poor using clinical measurements, laboratory readings, and International Classification of Diseases diagnosis codes and summed for an overall CVH score. Group-based trajectory modeling was used to create CVH score trajectories which were assessed for classification accuracy in the validation sample. RESULTS Using data from 122,363 children (47% female, 47% non-Hispanic White) three trajectories were identified: 59.5% maintained high levels of clinical CVH, 23.4% had high levels of CVH that declined, and 17.1% had intermediate levels of CVH that further declined with age. A similar classification emerged when the trajectories were fitted in the validation sample. CONCLUSIONS Stratification of CVH was present by age 2, implicating the need for early life and preconception prevention strategies.
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Affiliation(s)
- Lindsay R Pool
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL; Institute for Innovations in Developmental Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Lucia C Petito
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Xiaoyun Yang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Amy E Krefman
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Amanda M Perak
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL; Institute for Innovations in Developmental Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL; Division of Cardiology, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL
| | - Matthew M Davis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL; Institute for Innovations in Developmental Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL; Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL; Division of Academic General Pediatrics, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Marc Rosenman
- Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL; Mary Ann & J. Milburn Smith Child Health Outcomes, Research and Evaluation Center, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL
| | - Rachel Zmora
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
| | - Yaojie Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL; Institute for Innovations in Developmental Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Bradley S Marino
- Institute for Innovations in Developmental Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL; Stanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL; Division of Academic General Pediatrics, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Lauren S Wakschlag
- Division of Academic General Pediatrics, Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL; Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Darwin Labarthe
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL; Institute for Innovations in Developmental Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL; Institute for Innovations in Developmental Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Norrina B Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL; Institute for Innovations in Developmental Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL
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He P, Zhang Y, Ye Z, Li H, Liu M, Zhou C, Yang S, Gan X, Zhang Y, Qin X. A healthy lifestyle, Life's Essential 8 scores and new-onset severe NAFLD: A prospective analysis in UK Biobank. Metabolism 2023:155643. [PMID: 37380018 DOI: 10.1016/j.metabol.2023.155643] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 06/20/2023] [Accepted: 06/23/2023] [Indexed: 06/30/2023]
Abstract
BACKGROUND The association of a healthy lifestyle and the American Heart Association (AHA) Life's Essential 8 (LE8) score with the risk of new-onset nonalcoholic fatty liver disease (NAFLD) remains uncertain. We aimed to explore the associations between a healthy lifestyle and higher LE8 scores with new-onset severe NAFLD in the general population. METHODS 266,645 participants without prior liver diseases were included from the UK Biobank. A healthy lifestyle was determined based on body mass index, smoking, alcohol consumption, physical activity, sleep duration, and diet. LE8 score was generated from 8 metrics according to the AHA cardiovascular health (CVH) advisory, varying from 0 to 100 scores. The primary study outcome was new-onset severe NAFLD. The study outcomes were ascertained by hospital inpatient data, cancer registry, and death register records. RESULTS During a median follow-up of 11.9 years, 2284(0.9 %) participants developed severe NAFLD. Compared with those with a poor lifestyle, participants with intermediate (HR, 0.60; 95%CI: 0.55-0.67), or ideal (HR, 0.20; 95%CI: 0.15-0.27) lifestyles had a significantly lower risk of new-onset severe NAFLD. Compared to the low CVH group (LE8 scores: 0-49), the moderate (scores:50-79) (HR, 0.43; 95%CI: 0.39-0.48) and high CVH (scores:80-100) (HR, 0.10; 95%CI: 0.07-0.14) group had a significantly lower risk of new-onset severe NAFLD. Accordingly, adhering to a healthy lifestyle and attaining a high CVH in all individuals could prevent 66.8 % (95%CI: 58.5-75.1 %) and 77.3 % (95%CI:70.4-84.2 %) of severe NAFLD, respectively. Genetic risks of NAFLD did not modify these associations. CONCLUSION A favorable lifestyle and a higher LE8 score were significantly associated with a lower risk of new-onset severe NAFLD, independent of genetic risks of NAFLD.
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Affiliation(s)
- Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney Disease, Guangzhou 510515, China
| | - Yanjun Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney Disease, Guangzhou 510515, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney Disease, Guangzhou 510515, China
| | - Huan Li
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney Disease, Guangzhou 510515, China
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney Disease, Guangzhou 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney Disease, Guangzhou 510515, China
| | - Sisi Yang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney Disease, Guangzhou 510515, China
| | - Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney Disease, Guangzhou 510515, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney Disease, Guangzhou 510515, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangdong Provincial Clinical Research Center for Kidney Disease, Guangzhou 510515, China.
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Li Y, Gray A, Xue L, Farb MG, Ayalon N, Andersson C, Ko D, Benjamin EJ, Levy D, Vasan RS, Larson MG, Rong J, Xanthakis V, Liu C, Fetterman JL, Gopal DM. Metabolomic Profiles, Ideal Cardiovascular Health, and Risk of Heart Failure and Atrial Fibrillation: Insights From the Framingham Heart Study. J Am Heart Assoc 2023; 12:e028022. [PMID: 37301766 PMCID: PMC10356055 DOI: 10.1161/jaha.122.028022] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 04/13/2023] [Indexed: 06/12/2023]
Abstract
Background The American Heart Association's framework "ideal cardiovascular health" (CVH) focuses on modifiable risk factors to reduce cardiovascular disease (CVD). Metabolomics provides important pathobiological insights into risk factors and CVD development. We hypothesized that metabolomic signatures associate with CVH status, and that metabolites, at least partially, mediate the association of CVH score with atrial fibrillation (AF) and heart failure (HF). Methods and Results We studied 3056 adults in the FHS (Framingham Heart Study) cohort to evaluate CVH score and incident outcomes of AF and HF. Metabolomics data were available in 2059 participants; mediation analysis was performed to evaluate the mediation of metabolites in the association of CVH score and incident AF and HF. In the smaller cohort (mean age, 54 years; 53% women), CVH score was associated with 144 metabolites, with 64 metabolites shared across key cardiometabolic components (body mass index, blood pressure, and fasting blood glucose) of the CVH score. In mediation analyses, 3 metabolites (glycerol, cholesterol ester 16:1, and phosphatidylcholine 32:1) mediated the association of CVH score with incident AF. Seven metabolites (glycerol, isocitrate, asparagine, glutamine, indole-3-proprionate, phosphatidylcholine C36:4, and lysophosphatidylcholine 18:2), partly mediated the association between CVH score and incident HF in multivariable-adjusted models. Conclusions Most metabolites that associated with CVH score were shared the most among 3 cardiometabolic components. Three main pathways: (1) alanine, glutamine, and glutamate metabolism; (2) citric acid cycle metabolism; and (3) glycerolipid metabolism mediated CVH score with HF. Metabolomics provides insights into how ideal CVH status contributes to the development of AF and HF.
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Affiliation(s)
- Yi Li
- Department of Biostatistics, School of Public HealthBoston UniversityBostonMAUSA
| | | | - Liying Xue
- Evans Department of Medicine and Whitaker Cardiovascular InstituteBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
| | - Melissa G. Farb
- Evans Department of Medicine and Whitaker Cardiovascular InstituteBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
| | - Nir Ayalon
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
| | - Charlotte Andersson
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
| | - Darae Ko
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
| | - Emelia J. Benjamin
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
- Evans Department of Medicine, Section of Cardiovascular Medicine and Department of EpidemiologyBoston UniversityBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural ResearchNational Heart, Lung, and Blood Institute, National Institutes of HealthBethesdaMDUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Ramachandran S. Vasan
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
- Evans Department of Medicine, Section of Cardiovascular Medicine and Department of EpidemiologyBoston UniversityBostonMAUSA
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Martin G. Larson
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Jian Rong
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Chunyu Liu
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Jessica L. Fetterman
- Evans Department of Medicine and Whitaker Cardiovascular InstituteBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
| | - Deepa M. Gopal
- Evans Department of Medicine and Whitaker Cardiovascular InstituteBoston University Chobanian & Avedisian School of MedicineBostonMAUSA
- Section of Cardiovascular Medicine, Department of MedicineBoston University Chobanian & Avedisian School of Medicine/Boston Medical CenterBostonMAUSA
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Krishnamurthy HK, Balaguru UM, Pereira M, Jayaraman V, Song Q, Krishna K, Wang T, Bei K, Rajasekaran JJ. Influence of genetic polymorphisms on serum biomarkers of cardiac health. Medicine (Baltimore) 2023; 102:e33953. [PMID: 37335633 PMCID: PMC10256409 DOI: 10.1097/md.0000000000033953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 05/17/2023] [Indexed: 06/21/2023] Open
Abstract
Cardiovascular diseases (CVDs) are a leading cause of death worldwide which is why early risk prediction is crucial. Discrete Polygenic risk score (PRS) measurement using saliva or dried blood spot samples collected at home poses a convenient means for early CVD risk assessment. The present study assessed the effects of 28 disease-associated single nucleotide polymorphisms (SNPs) on 16 serological cardiac markers and also aggregated the risk alleles into a PRS to evaluate its applicability in CVD-risk prediction. The study assessed genetic and serological markers in 184 individuals. The association between serological markers and individual genetic variants was evaluated using a two-tailed t test while the associations of serum markers with the PRS was analyzed using the Pearson correlation. The comparative analysis of genotypes revealed statistically significant associations between serum markers and CVD-associated SNPs with Apo B: Apo A-1, LDL Direct, Apo B, sdLDL, hsCRP, Lp(a), NT-proBNP, and PLAC levels being significantly associated with the risk alleles of the SNPs, rs12526453, rs5186, rs10911021, rs1801131, rs670, rs10757274, and rs10757278. Increased PLAC levels were associated with rs10757274 and rs10757278 (P < .05). The SNPs, rs1801133, rs1549758, rs1799983, rs5082, and rs5186 were significantly associated with an increase in the cardioprotective markers, HDL and ApoA1 (P < .05). Furthermore, the PRS was associated with increasing levels of several serum cardiac markers (r2 > 0.6). Significant correlations were observed between high PRSs and NT-proBNP and ox-LDL levels with the r2 values being 0.82 (95% CI = 0.13-0.99; P = .03) and 0.94 (95% CI = 0.63-0.99; P = .005), respectively. The present study reports that SNPs have differential effects on serum markers with rs12526453, rs5186, rs10911021, rs1801131, rs670, rs10757274, and rs10757278 showing significant associations with elevated marker levels, which are indicators of deteriorating cardiac health. A unified PRS using several SNPs was also associated with an increase in serum markers levels, especially, NT-proBNP and ox-LDL. Genetic assessment via a convenient at-home collection to calculate the PRS can serve as an effective predictive tool for early CVD-risk assessment. This may help identify the risk groups that may require increased serological monitoring.
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Affiliation(s)
| | | | | | | | - Qi Song
- Vibrant America LLC., San Carlos, CA
| | | | | | - Kang Bei
- Vibrant Sciences LLC., San Carlos, CA
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Zhou H, Ding X, Wu S, Yan J, Cao J. Association of cardiovascular health score trajectory and risk of subsequent cardiovascular disease in non-diabetic population: a cohort study. BMC Public Health 2023; 23:1043. [PMID: 37264382 DOI: 10.1186/s12889-023-15569-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 03/30/2023] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND Diabetes is an important risk factor for cardiovascular disease (CVD), but in the non-diabetic population, high glucose values within the normal range are also positively associated with CVD risk. There is a lack of concern for people without diabetes and evidence is lacking regarding the association between changes in cardiovascular health score (CVHS) and CVD risk in the non-diabetic population. METHODS The current study included 37,970 non-diabetic participants free of CVD events in or before 2010 from the Kailuan Study and calculated CVHS according to the overall status of 7 cardiovascular health metrics between the 2006 and 2010 waves. Latent mixture models were used to explore the subgroups with different development trends included in the context of the Kailuan non-diabetic population and to identify the trajectory of each subgroup. The outcomes of the current study were CVD events, including myocardial infarction and stroke. CVHS trajectory was developed to predict subsequent CVD risk from 2010 to 2020. The Cox proportional hazard model was established to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) of CVD across different trajectory patterns. RESULTS Five distinct CVHS trajectory patterns were identified, including low-stable pattern (n = 2835), moderate-increasing pattern (n = 3492), moderate-decreasing pattern (n = 7526), high-stable I pattern (n = 17,135), and high-stable II pattern (n = 6982). Compared with the low-stable pattern, participants with the high-stable II pattern had a lower subsequent risk of CVD (HR = 0.22, 95%CI = 0.18-0.28); In stratification analysis, the lower risk for CVD was observed in females (HR = 0.10, 95%CI = 0.05-0.23, P for interaction < 0.05) and those aged < 60 years (HR = 0.16, 95%CI = 0.11 to 0.22, P for interaction < 0.05). CONCLUSIONS CVHS trajectory patterns were associated with an altered CVD risk in the non-diabetic population. When stratified by age and sex, the association was stronger in young adults and females.
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Affiliation(s)
- Hui Zhou
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - Xiong Ding
- School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Jin Yan
- Xiangya School of Nursing, Central South University, Changsha, Hunan, China
- Nursing Department, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jianyun Cao
- Department of Reproductive Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
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Kilic M, Caglayan V, Sambel M, Erdogan A, Onen E, Kurtoglu U, Erkan A, Avci S, Ekici O. Carotid artery intima media thickness can predict the response to phosphodiesterase 5 inhibitors in patients with moderate erectile dysfunction. Sex Med 2023; 11:qfad042. [PMID: 37529683 PMCID: PMC10388700 DOI: 10.1093/sexmed/qfad042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/24/2023] [Accepted: 06/28/2023] [Indexed: 08/03/2023] Open
Abstract
Background Increased carotid artery intima-media thickness (CIMT) has been shown to be associated with erectile dysfunction (ED), but studies evaluating the efficacy of CIMT in predicting drug response are lacking in the literature. Aim We aimed to evaluate the efficacy of CIMT in predicting the response to phosphodiesterase-5 inhibitors (PDE5-I). Methods A total of 274 subjects were divided into two groups: ED patients (n = 150) and controls (n = 124). The patients in the ED group were further divided into the subgroups of severe, moderate, mild-moderate, and mild ED. Blood tests, carotid ultrasonography, and the International Index of Erectile Function-5 (IIEF-5) diagnostic tool were applied to all subjects. Tadalafil was administered to each patient. The patients were re-evaluated using the IIEF-5 questionnaire after 2 months of treatment. According to their response to medication, the patients were evaluated as responders or nonresponders. Outcomes Increased CIMT was significantly associated with the failure of PDE5-I therapy, especially in patients with moderate/mild-moderate ED. Results Fasting blood glucose, body mass index, and CIMT were significantly higher in the ED group compared to the control group (P = .021, P = .006, and P < .001, respectively). The IIEF-5 score was significantly lower in the ED group (P < .001). CIMT was significantly correlated with the IIEF-5 score. When the total patient group was evaluated, the CIMT value of the responders was significantly lower than that of the nonresponders (P = .001). CIMT was significantly higher among the nonresponders with moderate/mild-moderate ED compared to the responders (P = .004 and .008, respectively), while there was no significant difference in CIMT between the responders and nonresponders with severe or mild ED. A receiver operating characteristic (ROC) analysis of CIMT was performed for discrimination between nonresponders and responders with moderate/mild-moderate ED. The area under the ROC curve was 0.801 (0.682-0.921) (P = .001), and the cutoff value was determined to be 0.825 mm, at which CIMT predicted the response to treatment with 65% sensitivity and 89% specificity. Clinical Implications Using a validated CIMT cutoff value can help the physician inform the patient about the possibility of drug failure and avoid attempting second-line therapy too soon. Strengths and Limitations There are three main limitations to our study. First, the number of participants was low. Second, ultrasound is a relatively subjective method, and third, all measurements were made by the same radiologist. Conclusion CIMT can be used as a predictor of response to PDE5-I therapies in patients with moderate/mild-moderate ED.
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Affiliation(s)
- Metin Kilic
- Department of Urology, Bursa Yuksek Ihtisas Training and Research Hospital, Yildirim 16310, Bursa, Turkey
| | - Volkan Caglayan
- Corresponding author: Department of Urology, Bursa City Hospital, Nilufer 16110, Bursa, Turkey.
| | - Murat Sambel
- Department of Urology, Antalya Training and Research Hospital, Varlık 07100, Antalya, Turkey
| | - Abdullah Erdogan
- Department of Urology, Bursa City Hospital, Nilufer 16110, Bursa, Turkey
| | - Efe Onen
- Department of Urology, Bursa City Hospital, Nilufer 16110, Bursa, Turkey
| | - Unal Kurtoglu
- Department of Radiology, Nev Anadolu Hospital, Nilufer 16110, Bursa, Turkey
| | - Anıl Erkan
- Department of Urology, Bursa Yuksek Ihtisas Training and Research Hospital, Yildirim 16310, Bursa, Turkey
| | - Sinan Avci
- Department of Urology, Bursa City Hospital, Nilufer 16110, Bursa, Turkey
| | - Ozgur Ekici
- Department of Urology, Erzincan Binali Yildirim University, 24002, Erzincan, Turkey
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Broni EK, Ogunmoroti O, Osibogun O, Echouffo-Tcheugui JB, Chevli PA, Shapiro MD, Ndumele CE, Michos ED. Ideal Cardiovascular Health and Adipokine Levels: The Multi-Ethnic Study of Atherosclerosis. Endocr Pract 2023; 29:456-464. [PMID: 37028649 PMCID: PMC10330128 DOI: 10.1016/j.eprac.2023.03.276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/28/2023] [Accepted: 03/29/2023] [Indexed: 04/08/2023]
Abstract
OBJECTIVE To evaluate the association between ideal cardiovascular health (CVH) and adipokine levels. Adipokines are hormones implicated in obesity and its cardiometabolic consequences. The concept of ideal CVH was introduced to promote 7 key health factors and behaviors in the general population. Previous studies have found strong associations between obesity and ideal CVH. However, existing literature on the link between CVH and adipokines is scarce. METHODS We studied 1842 Multi-Ethnic Study of Atherosclerosis participants free of cardiovascular disease who had 7 CVH metrics (smoking, body mass index, physical activity, diet, total cholesterol, blood pressure, and fasting blood glucose) measured at baseline and serum adipokine levels measured at a median of 2.4 years later. Each CVH metric was assigned a score of 0 (poor), 1 (intermediate), or 2 (ideal), and all scores were summed for a total CVH score (0-14). The total CVH scores of 0 to 8, 9 to 10, and 11 to 14 were considered inadequate, average, and optimal, respectively. We used multivariable linear regression models to assess the nonconcurrent associations between the CVH score and log-transformed adipokine levels. RESULTS The mean age was 62.1 ± 9.8 years; 50.2% of participants were men. After adjusting for sociodemographic factors, a 1-unit higher CVH score was significantly associated with 4% higher adiponectin and 15% and 1% lower leptin and resistin levels. Individuals with optimal CVH scores had 27% higher adiponectin and 56% lower leptin levels than those with inadequate CVH scores. Similar trends were observed for those with average versus inadequate CVH scores. CONCLUSION In a multi-ethnic cohort free of cardiovascular disease at baseline, individuals with average and optimal CVH scores had a more favorable adipokine profile than those with inadequate CVH scores.
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Affiliation(s)
- Eric K Broni
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Oluseye Ogunmoroti
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Olatokunbo Osibogun
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida
| | - Justin B Echouffo-Tcheugui
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Parag A Chevli
- Section on Hospital Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Michael D Shapiro
- Center for Prevention of Cardiovascular Disease, Section on Cardiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Chiadi E Ndumele
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Erin D Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland.
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Deng K, Gupta DK, Shu XO, Lipworth L, Zheng W, Thomas VE, Cai H, Cai Q, Wang TJ, Yu D. Metabolite Signature of Life's Essential 8 and Risk of Coronary Heart Disease among Low-Income Black and White Americans. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.24.23289055. [PMID: 37163035 PMCID: PMC10168489 DOI: 10.1101/2023.04.24.23289055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Background and Aims Life's Essential 8 (LE8) is a comprehensive construct of cardiovascular health. Yet, little is known about LE8 score, its metabolic correlates, and their predictive implications among Black Americans and low-income individuals. Methods In a nested case-control study of coronary heart disease (CHD) among 598 Black and 596 White low-income Americans, we estimated LE8 score, conducted untargeted plasma metabolites profiling, and used elastic net with leave-one-out cross-validation to identify metabolite signature (MetaSig) of LE8. Associations of LE8 score and MetaSig with incident CHD were examined using conditional logistic regression. Mediation effect of MetaSig on the LE8-CHD association was also examined. The external validity of MetaSig was evaluated in another nested CHD case-control study among 598 Chinese adults. Results Higher LE8 score was associated with lower CHD risk [standardized OR (95% CI)=0.61 (0.53-0.69)]. The identified MetaSig, consisting of 133 metabolites, showed strong correlation with LE8 score ( r =0.61) and inverse association with CHD risk [OR (95% CI)=0.57 (0.49-0.65)], robust to adjustment for LE8 score and across participants with different sociodemographic and health status (ORs: 0.42-0.69; all P <0.05). MetaSig mediated a large portion of the LE8-CHD association: 53% (32%-80%) ( P <0.001). Significant associations of MetaSig with LE8 score and CHD risk were found in validation cohort [ r =0.49; OR (95% CI)=0.57 (0.46-0.69)]. Conclusions Higher LE8 score and its MetaSig were associated with lower CHD risk among low-income Black and White Americans. Metabolomics may offer an objective and comprehensive measure of LE8 score and its metabolic phenotype relevant to CHD prevention among diverse populations.
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Deraz O, Van Sloten T, Climie R, Debras C, Fezeu LK, Deschasaux-Tanguy M, Jouven X, Kesse-Guyot E, Galan P, Hercberg S, Touvier M, Empana JP. Person-centered and measured life's simple 7 cardiovascular health concordance and association with incident cardiovascular disease. Sci Rep 2023; 13:5247. [PMID: 37002422 PMCID: PMC10066211 DOI: 10.1038/s41598-023-32219-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 03/24/2023] [Indexed: 04/03/2023] Open
Abstract
Person-centered cardiovascular health (CVH) may facilitate cardiovascular disease primordial prevention in low resources settings. The study aims to assess the validity of person-centered CVH compared to gold standard measured CVH by examining the concordance between person-centered vs. measured CVH together with their respective association with incident cardiovascular disease events (CVD). Life's Simple 7 (LS7) CVH metrics, including non-smoking, Body Mass Index, diet, physical activity, blood glycemia, blood pressure, and blood cholesterol were collected from 19,473 adults participating in the e-cohort NutriNet-Santé study from 2011 to 2014 and were followed until September 2020. Clinical examinations and blood analyses defined the measured biological metrics, while diagnoses, medication, or treatment for type 2 diabetes, hypertension, and hypercholesterolemia defined person-centered biological metrics. Declared behavioral metrics were common for both measured and person-centered CVH. The study included 18,714 CVD-free participants (mean age 51 years, 73% women), among whom 16.52% and 38.75% had 5-7 ideal LS7 metrics according to measured and person-centered CVH, respectively. Weighted concordance of person-centered and measured CVH was 0.87 [0.86; 0.88]. Over median follow-up of 8.05 years, 749 CVD events occurred. There was a 7% (HR 0.93 [0.88; 0.99]) and 13% (HR 0.87 [0.83; 0.92]) risk reduction of CVD risk by additional measured and person-centered ideal metrics, respectively. In conclusion, person-centered CVH may represent a reliable alternative to measured CVH.
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Affiliation(s)
- Omar Deraz
- Université Paris Cité, UMR-S970, Paris Cardiovascular Research Center, INSERM, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
| | - Thomas Van Sloten
- Université Paris Cité, UMR-S970, Paris Cardiovascular Research Center, INSERM, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Rachel Climie
- Université Paris Cité, UMR-S970, Paris Cardiovascular Research Center, INSERM, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
- Menzies Institute for Medical Research, University of Tasmania, Hobert, Australia
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Charlotte Debras
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Léopold K Fezeu
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Xavier Jouven
- Université Paris Cité, UMR-S970, Paris Cardiovascular Research Center, INSERM, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
| | - Emmanuelle Kesse-Guyot
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Pilar Galan
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Serge Hercberg
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Mathilde Touvier
- Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France
| | - Jean-Philippe Empana
- Université Paris Cité, UMR-S970, Paris Cardiovascular Research Center, INSERM, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France.
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Sun J, Li Y, Zhao M, Yu X, Zhang C, Magnussen CG, Xi B. Association of the American Heart Association's new "Life's Essential 8" with all-cause and cardiovascular disease-specific mortality: prospective cohort study. BMC Med 2023; 21:116. [PMID: 36978123 PMCID: PMC10053736 DOI: 10.1186/s12916-023-02824-8] [Citation(s) in RCA: 130] [Impact Index Per Article: 65.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 03/09/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND The American Heart Association recently updated its construct of what constitutes cardiovascular health (CVH), called Life's Essential 8. We examined the association of total and individual CVH metrics according to Life's Essential 8 with all-cause and cardiovascular disease (CVD)-specific mortality later in life. METHODS Data were from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 at baseline linked to the 2019 National Death Index records. Total and individual CVH metric scores including diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose, and blood pressure were classified as 0-49 (low level), 50-74 (intermediate level), and 75-100 (high level) points. The total CVH metric score (the average of the 8 metrics) as a continuous variable was also used for dose-response analysis. The main outcomes included all-cause and CVD-specific mortality. RESULTS A total of 19,951 US adults aged 30-79 years were included in this study. Only 19.5% of adults achieved a high total CVH score, whereas 24.1% had a low score. During a median follow-up of 7.6 years, compared with adults with a low total CVH score, those with an intermediate or high total CVH score had 40% (adjusted hazard ratio [HR] 0.60, 95% confidence interval [CI] 0.51-0.71) and 58% (adjusted HR 0.42, 95% CI 0.32-0.56) reduced risk of all-cause mortality. The corresponding adjusted HRs (95%CIs) were 0.62 (0.46-0.83) and 0.36 (0.21-0.59) for CVD-specific mortality. The population-attributable fractions for high (score ≥ 75 points) vs. low or intermediate (score < 75 points) CVH scores were 33.4% for all-cause mortality and 42.9% for CVD-specific mortality. Among all 8 individual CVH metrics, physical activity, nicotine exposure, and diet accounted for a large proportion of the population-attributable risks for all-cause mortality, whereas physical activity, blood pressure, and blood glucose accounted for a large proportion of CVD-specific mortality. There were approximately linear dose-response associations of total CVH score (as a continuous variable) with all-cause and CVD-specific mortality. CONCLUSIONS Achieving a higher CVH score according to the new Life's Essential 8 was associated with a reduced risk of all-cause and CVD-specific mortality. Public health and healthcare efforts targeting the promotion of higher CVH scores could provide considerable benefits to reduce the mortality burden later in life.
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Affiliation(s)
- Jiahong Sun
- Department of Epidemiology/Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, 44 Wen Hua Xi Road, Jinan, 250012, China
| | - Yanzhi Li
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiao Yu
- Key Laboratory Experimental Teratology of the Ministry of Education, Department of Physiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Cheng Zhang
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology/Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, 44 Wen Hua Xi Road, Jinan, 250012, China.
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Das Gupta D, Kelekar U, Abram-Moyle M. Association between ideal cardiovascular health and multiple disabilities among US adults, BRFSS 2017-2019. Public Health 2023; 218:60-67. [PMID: 36965465 DOI: 10.1016/j.puhe.2023.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 01/18/2023] [Accepted: 02/14/2023] [Indexed: 03/27/2023]
Abstract
OBJECTIVES Cardiovascular health is the leading cause of death and disability in the United States. Our objective was to estimate the association between ideal cardiovascular health (ICVH) and multiple disabilities among US adults stratified into the three age groups of young (18-44 years), midlife (45-64 years), and older adults (≥65 years). STUDY DESIGN We conducted a cross-sectional analysis using data pooled from the 2017 and 2019 Behavioral Risk Factor Surveillance System (BRFSS). METHODS Using American Heart Association's seven-component (four ideal behaviors and three ideal health factors) scoring tool, we identified ICVH as a composite score ≥5 and also computed the ideal behavioral (score ≥3) and ideal health factors (score = 3) submetrics. The outcome, single vs multiple disabilities indicator, was defined using US Census's disability domains and analyzed using multinomial regression. RESULTS For all three groups, the prevalence of multiple disabilities was significantly lower among those meeting ICVH, ideal behavioral, and ideal health factors compared with those that did not. After controlling for covariates, ICVH score ≥5 was associated with lower relative risk of multiple disabilities in all groups. Although both ideal health and ideal behavioral factors were associated with lower relative risk of multiple disabilities among all groups, the reduction in risk was the highest for multiple disabilities and ideal behavioral factors among midlife (relative risk ratio: 0.30, 95% confidence interval: 0.25, 0.36) and older adults (relative risk ratio: 0.40, 95% confidence interval: 0.33, 0.48). CONCLUSION Adults with less-than-ideal cardiovascular health had a higher relative risk of multiple disabilities. Addressing the risk of multiple disabilities of US adults will require effective promotion of ICVH.
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Affiliation(s)
- D Das Gupta
- Department of Kinesiology and Health Science, Emma Eccles Jones College of Education and Human Services, Utah State University, 7000 Old Main Hill, Logan, UT, 84322, USA.
| | - U Kelekar
- School of Business, Innovation, Leadership and Technology and Marymount Center for Optimal Aging, Marymount University, USA
| | - M Abram-Moyle
- Department of Kinesiology and Health Science, Emma Eccles Jones College of Education and Human Services, Utah State University, USA
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Douglas PS, McCallum S, Lu MT, Umbleja T, Fitch KV, Foldyna B, Zanni MV, Fulda ES, Bloomfield GS, Fichtenbaum CJ, Overton ET, Aberg JA, Malvestutto CD, Burdo TH, Arduino RC, Ho KS, Yin MT, Ribaudo HJ, Grinspoon SK. Ideal cardiovascular health, biomarkers, and coronary artery disease in persons with HIV. AIDS 2023; 37:423-434. [PMID: 36525544 PMCID: PMC9877147 DOI: 10.1097/qad.0000000000003418] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/24/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To investigate relationships between Life's Simple 7 (LS7), an assessment of cardiovascular health (CVH), and coronary plaque among people with HIV (PWH). DESIGN Cross-sectional. METHODS Coronary computed tomography angiography, immune/inflammatory biomarkers, and characterization of LS7 were collected among a subset of ART-treated PWH enrolled in REPRIEVE, a primary prevention trial. Analyses adjusted for cardiovascular disease risk (ASCVD score). RESULTS Median age of the 735 participants was 51(±6) years, 16% female, and median (Q1-Q3) CVD risk was 4.5% (2.6-6.9). Forty percent had poor (≤2 ideal components), 51% had intermediate (three or four ideal components), and only 9% had ideal CVH (≥5). Coronary plaque was present in 357 (49%); 167 (23%) had one or more vulnerable plaque features, 293 (40%) had noncalcified plaque, and 242 (35%) had a coronary artery calcium score >0. All three phenotypes were increasingly more prevalent with poorer CVH and these relationships remained after adjusting for ASCVD risk. Poor CVH was associated with higher high-sensitivity C-reactive protein, oxidized low-density cholesterol, and interleukin-6. The relationship of LS7 to plaque remained after adjusting for these biomarkers. CONCLUSIONS Among PWH, poor CVH as measured by LS7 was associated with coronary plaque presence, vulnerable features, and calcification. LS7 was also associated with selected biomarkers; adjustment for these and ASCVD score reduced but did not eliminate LS7's association with plaque, suggesting the possibility of additional protective mechanisms against atherogenesis and plaque remodeling. Clinical use of LS7 and further exploration of its relationships with coronary artery disease may enhance efforts to reduce cardiovascular morbidity and mortality in PWH. CLINICAL TRIALS REGISTRATION NCT02344290.
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Affiliation(s)
- Pamela S. Douglas
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
| | - Sara McCallum
- Metabolism Unit, Massachusetts General Hospital, Harvard Medical School
| | - Michael T. Lu
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
| | - Triin Umbleja
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Kathleen V. Fitch
- Metabolism Unit, Massachusetts General Hospital, Harvard Medical School
| | - Borek Foldyna
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
| | - Markella V. Zanni
- Metabolism Unit, Massachusetts General Hospital, Harvard Medical School
| | - Evelynne S. Fulda
- Metabolism Unit, Massachusetts General Hospital, Harvard Medical School
| | - Gerald S. Bloomfield
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
| | - Carl J. Fichtenbaum
- Division of Infectious Diseases, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Edgar T. Overton
- Division of Infectious Diseases, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama
| | - Judith A. Aberg
- Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Carlos D. Malvestutto
- Division of Infectious Diseases, Ohio State University Medical Center, Columbus, Ohio
| | - Tricia H. Burdo
- Department of Microbiology, Immunology, and Inflammation and Center for NeuroVirology and Gene Editing, Temple University Lewis Katz School of Medicine, Philadelphia, Pennsylvania
| | - Roberto C. Arduino
- Division of Infectious Diseases, McGovern Medical School at The University of Texas Health Science Center, Houston, Texas
| | - Ken S. Ho
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michael T. Yin
- Division of Infectious Diseases, Columbia University College of Physicians and Surgeons, New York, New York, USA
| | - Heather J. Ribaudo
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Mo M, Möller J, László KD, Liang Y. The joint effect between fetal growth and health behaviors on the risk of cardiovascular diseases in young adulthood. Ann Epidemiol 2023; 78:54-60. [PMID: 36596430 DOI: 10.1016/j.annepidem.2022.12.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 12/19/2022] [Accepted: 12/27/2022] [Indexed: 01/02/2023]
Abstract
PURPOSE To investigate the individual and the joint effect of impaired fetal growth and adult health behaviors on the risk of cardiovascular diseases (CVDs). METHODS A total of 15,618 individuals were included from three sub-cohorts of the Stockholm Public Health Cohort. Data on participants' birthweight and gestational age were retrieved from the Medical Birth Register. Data on the diagnoses of CVDs were extracted from the Swedish National Patient Register and the Cause of Death Register. Data on health behaviors were identified from self-reported questionnaires, and health behavioral profile was defined based on the recommendations of the American Health Association. The associations of fetal growth and health behaviors with the risk of CVDs were analyzed using Cox proportional hazard model. RESULTS Individuals born small for gestational age (SGA) had a higher risk of CVDs than those born appropriate for gestational age (AGA), and the adjusted hazard ratio (HR) and 95% confidence interval (CI) was 1.88 (1.44, 2.47). Participants born SGA and having poor health behavioral profile in adulthood had a higher risk of CVDs than those born AGA and having ideal health behaviors with adjusted HR (95% CI) being 3.58 (1.95, 6.56). CONCLUSIONS Impaired fetal growth was associated with an increased risk of CVDs in adulthood, and the risk was highest in individuals with both impaired fetal growth and poor health behaviors in adulthood.
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Affiliation(s)
- Minjia Mo
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Jette Möller
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Krisztina D László
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden; Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Yajun Liang
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
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Sotos-Prieto M, Maroto-Rodriguez J, Ortolá R, Martinez-Gomez D, García-Esquinas E, Buño-Soto A, Rodríguez-Artalejo F. Association between a Mediterranean lifestyle and growth differentiation factor 15: The seniors ENRICA-2 cohort. Free Radic Biol Med 2023; 195:192-198. [PMID: 36584798 DOI: 10.1016/j.freeradbiomed.2022.12.090] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/22/2022] [Accepted: 12/24/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND Growth Differentiation Factor 15 (GDF-15) is a marker of inflammation and oxidative stress that has been associated with multiple age-related chronic diseases. Since lifestyle is key for preventing these adverse health outcomes, we examined the association between a Mediterranean lifestyle and GDF-15 serum concentrations in Spanish older adults. METHODS We used cross-sectional data from 2502 older adults participating in the Seniors ENRICA-2 cohort. Adherence to the Mediterranean lifestyle was assessed with the 27-item MEDLIFE index, divided into three blocks: 1) "Mediterranean food consumption, 2) Mediterranean dietary habits, 3) Physical activity, rest, social habits, and conviviality". Analyses of the association between the MEFLIFE index and GDF-15 concentrations were performed using multivariable linear regression models adjusting for the main potential confounders. RESULTS The MEDLIFE index was inversely associated with GDF-15. Compared with participants in the lowest quartile of the MEDLIFE score, GDF-15 mean percentage differences (95% CI) were -3.0% (-8.0, 2.3) for the second quartile, -8.7% (-13.0, -4.1) for the third quartile, and -10.1% (-15.0, -4.9) for the fourth quartile (p-trend<0.001). Block 3 of MEDLIFE, and particularly doing sufficient physical activity, adequate sleep duration, and participating in collective sports, was individually linked to lower concentrations of GDF-15. Results remained similar after excluding participants with cardiovascular disease, type 2 diabetes, or obesity. CONCLUSIONS A Mediterranean lifestyle was associated with reduced levels of GDF-15, suggesting that a combination of multiple lifestyles may be an integral approach to reduce chronic inflammation and disease burden in older adults.
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Affiliation(s)
- Mercedes Sotos-Prieto
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo, 4, 28029, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; IMDEA-Food Institute. CEI UAM+CSIC, Ctra. de Canto Blanco 8, E. 28049, Madrid, Spain; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue. Boston, Massachusetts, 02115, USA.
| | - Javier Maroto-Rodriguez
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo, 4, 28029, Madrid, Spain
| | - Rosario Ortolá
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo, 4, 28029, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain
| | - David Martinez-Gomez
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo, 4, 28029, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; IMDEA-Food Institute. CEI UAM+CSIC, Ctra. de Canto Blanco 8, E. 28049, Madrid, Spain
| | - Esther García-Esquinas
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo, 4, 28029, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Department of Chronic Disease, National Center of Epidemiology, Carlos III Health Institute, Calle de Sinesio Delgado 4, 28029, Madrid, Spain
| | - Antonio Buño-Soto
- Department of Laboratory Medicine, La Paz University Hospital-IdiPaz, Paseo de la Castellana, 261, Madrid, Spain
| | - Fernando Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo, 4, 28029, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; IMDEA-Food Institute. CEI UAM+CSIC, Ctra. de Canto Blanco 8, E. 28049, Madrid, Spain
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Barcelos STA, Silva-Sperb AS, Moraes HA, Longo L, de Moura BC, Michalczuk MT, Uribe-Cruz C, Cerski CTS, da Silveira TR, Dall'Alba V, Álvares-da-Silva MR. Oral 24-week probiotics supplementation did not decrease cardiovascular risk markers in patients with biopsy proven NASH: A double-blind placebo-controlled randomized study. Ann Hepatol 2023; 28:100769. [PMID: 36216309 DOI: 10.1016/j.aohep.2022.100769] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 09/25/2022] [Accepted: 09/30/2022] [Indexed: 11/07/2022]
Abstract
INTRODUCTION AND OBJECTIVES Cardiovascular disease (CVD) is the major cause of death in non-alcoholic fatty liver disease (NAFLD), a clinical condition without any approved pharmacological therapy. Probiotics are often indicated for the disease, but their results are controversial in part due to the poor quality of studies. Thus, we investigated the impact of 24-week probiotics supplementation on cardiovascular risk (CVR) in biopsy-proven non-alcoholic steatohepatitis (NASH) patients. PATIENTS AND METHODS Double-blind, placebo-controlled, single-center study (NCT03467282), adult NASH, randomized for 24 weeks daily sachets of probiotic mix (109CFU of Lactobacillus acidophilus, Lactobacillus rhamnosus, Lactobacillus paracasei and Bifidobacterium lactis) or placebo. Clinical scores (atherogenic indexes, atherosclerotic cardiovascular disease-ASCVD and systematic coronary risk evaluation-SCORE), biochemistry, miR-122, miR-33a, plasminogen activator inhibitor-1 (PAI-1), intercellular adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule-1 (VCAM-1), were determined before and after the intervention. RESULTS Forty-six patients were enrolled (23 received probiotics and 23 placebo), with a mean age of 51.7 years, most of them females and whites. Clinical and demographic features were similar between the groups at the baseline. The Median NAFLD activity score was 4.13 in both groups. Fibrosis was mild in most patients (15.2% and 65.2% F0 and F1, respectively). Treatment did not promote any clinically significant changes in body mass index or laboratory, including lipid and glucose profile. High CVR patients through atherogenic indexes decreased from baseline in both groups, as well as PAI-1 and miR-122 levels, although there was no difference between probiotics and placebo. CONCLUSIONS A 24-week probiotic mix administration was not superior to placebo in reducing CVR markers in patients with NASH.
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Affiliation(s)
- Samantha Thifani Alrutz Barcelos
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil
| | - Amanda Souza Silva-Sperb
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil
| | - Helena Abadie Moraes
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil
| | - Larisse Longo
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil; Experimental Laboratory of Hepatology and Gastroenterology, Center for Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Rio Grande do Sul, Brazil
| | - Bruna Concheski de Moura
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil
| | - Matheus Truccolo Michalczuk
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil; Division of Gastroenterology, HCPA, Porto Alegre 90035-903, Rio Grande do Sul, Brazil
| | - Carolina Uribe-Cruz
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil; Experimental Laboratory of Hepatology and Gastroenterology, Center for Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Rio Grande do Sul, Brazil
| | - Carlos Thadeu Schmidt Cerski
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil; Unit of Surgical Pathology, HCPA, Porto Alegre 90035-903, Rio Grande do Sul, Brazil
| | - Themis Reverbel da Silveira
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil
| | - Valesca Dall'Alba
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil; Experimental Laboratory of Hepatology and Gastroenterology, Center for Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Rio Grande do Sul, Brazil; Division of Nutrition, HCPA, Porto Alegre 90035-903, Rio Grande do Sul, Brazil
| | - Mário Reis Álvares-da-Silva
- Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035-003, Rio Grande do Sul, Brazil; Experimental Laboratory of Hepatology and Gastroenterology, Center for Experimental Research, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre 90035-903, Rio Grande do Sul, Brazil; Division of Gastroenterology, HCPA, Porto Alegre 90035-903, Rio Grande do Sul, Brazil.
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Mavragani A, Pearson JF, Troughton RW, Kennedy MA, Espiner EA. The Predictive Value of A, B, and C-Type Natriuretic Peptides in People at Risk of Heart Disease: Protocol for a Longitudinal Observational Study. JMIR Res Protoc 2023; 12:e37011. [PMID: 36630163 PMCID: PMC9878369 DOI: 10.2196/37011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Heart disease and stroke are major and often unheralded causes of serious morbidity and premature death in middle age. Early detection of those most at risk is an urgent unmet need for instituting preventative measures. In an earlier community study (Canterbury Health, Ageing and Life Course [CHALICE]) of healthy people aged 50 years, contrary to previous reports, low levels of the heart hormone B-type natriuretic peptide (BNP) were associated with reduced measures of heart function and higher markers of vascular risk. A specific gene variant (rs198358) was found to be an independent contributor to higher BNP levels. A closely related vascular hormone (C-type natriuretic peptide [CNP]) showed opposite associations-higher levels were correlated with higher vascular risk and reduced cardiac function. To determine whether these novel findings predict serious heart or vascular disease in later life, this proposal re-examines the same CHALICE participants 15 years later. OBJECTIVE The primary objective is to determine the predictive value of (1) low plasma concentrations of the circulating cardiac hormones (atrial natriuretic peptide [ANP] and BNP) and (2) high levels of the vascular hormone CNP at age 50 years in detecting impaired cardiac and vascular function 15 years later. Secondary objectives are to determine specific associations of individual analytes (ANP, BNP, CNP, cyclic guanosine monophosphate [cGMP]) with echo-derived changes in cardiac performance at ages 50 years and 65 years. METHODS All of the 348 participants (205/348, 58.9% female; 53/348, 15.2% Māori or Pacifica ethnicity) participating in the original CHALICE study-free of history of heart or renal disease at age 50 years and who consented to further study-will be contacted, recruited, and restudied as previously described. Data will include intervening health history, physical examination, heart function (speckle-tracking echocardiography), vascular status (carotid intimal thickness), and genetic status (genome-wide genotyping). Laboratory measures will include fasting blood sampling and routine biochemistry, ANP, BNP, CNP, their downstream effector (cGMP), and their bio-inactive products. Humoral metabolic-cardiovascular risk factors will be measured after an overnight fast. Primary outcomes will be analyzed using multiple linear regression. RESULTS The study will commence in 2022 and be completed in 2024. CONCLUSIONS Proving our hypothesis-that low BNP and high CNP at any age in healthy people predict premature aging of heart and blood vessels, respectively-opens the way to early detection and improved outcomes for those most at risk. Confirmation of our hypotheses would improve current methods of screening and, in appropriate cases, enable interventions aimed at increasing natriuretic hormones and reducing risk of serious cardiovascular complications using drugs already available. Such advances in detection, and from interventional corrections, have the potential to not only improve health in the community but also reduce the high costs inevitably associated with heart failure. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/37011.
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Affiliation(s)
| | - John F Pearson
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.,Biostatistics and Computational Biology Unit, University of Otago, Christchurch, New Zealand
| | - Richard W Troughton
- Christchurch Heart Institute, Department of Medicine, University of Otago, Christcurch, New Zealand
| | - Martin A Kennedy
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Eric A Espiner
- Christchurch Heart Institute, Department of Medicine, University of Otago, Christcurch, New Zealand
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Motta ACSV, Bousquet-Santos K, Motoki IHL, Andrade JMDL. Prevalence of ideal cardiovascular health in the Brazilian adult population - National Health Survey 2019. EPIDEMIOLOGIA E SERVIÇOS DE SAÚDE 2023; 32:e2022669. [PMID: 37018816 PMCID: PMC10069666 DOI: 10.1590/s2237-96222023000300006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 12/21/2022] [Indexed: 04/07/2023] Open
Abstract
OBJECTIVE to analyze the prevalence of ideal cardiovascular health (CVH) in the Brazilian adult population based on the 2019 National Health Survey. METHODS this was a population-based cross-sectional study (n = 77,494); prevalence and respective 95% confidence intervals (95%CI) of ideal CVH (seven metrics achieved simultaneously) and by individual metrics (four behavioral and three biological metrics), as defined by the American Heart Association, were estimated. RESULTS only 0.5% (95%CI 0.4;0.6) of the study population presented ideal CVH, with higher prevalence among those with higher level of education (1.3%; 95%CI 0.9;1.6) and residents in urban areas (0.6%; 95%CI 0.5;0.7); the prevalence of behavioral and biological metrics was 0.7% (95%CI 0.6;0.8) and 63.3% (95%CI 62.7;63.9) respectively. CONCLUSION the prevalence of ideal CVH was very low, highlighting the need for public policies aimed at promotion, surveillance and CVH care in the Brazilian adult population.
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Affiliation(s)
| | - Kelb Bousquet-Santos
- Universidade de Brasília, Colegiado de Bases Biológicas e da Saúde, Brasília, DF, Brazil
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Ma SS, Yin WJ, Wang P, Wang HX, Zhang L, Jiang XM, Zhang Y, Tao R, Ge JF, Zhu P. Previous pregnancy loss and gestational cardiovascular health: A prospective cohort of nulliparous women. Front Public Health 2023; 11:1071706. [PMID: 37113178 PMCID: PMC10127104 DOI: 10.3389/fpubh.2023.1071706] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 03/10/2023] [Indexed: 04/29/2023] Open
Abstract
Objectives To estimate the association of previous pregnancy loss with subsequent cardiovascular health during gestation and to examine the role of high-sensitivity C reactive protein (hs-CRP) in the association. Methods A total of 2,778 nulliparous pregnant women were recruited between March 2015 and November 2020 in Hefei city, China. Their cardiovascular health (CVH) including prepregnancy body mass index (BMI), blood pressure, total cholesterol, fasting plasma glucose, and smoke status were recorded at 24-28 weeks' gestation, as well as their reproductive history. Multivariate linear and logistic regression were performed to examine the association of pregnancy loss with cardiovascular health. And the role of hs-CRP between pregnancy loss and CVH was assessed by the mediation analysis. Results Compared with women who have no pregnancy loss, women with a history of spontaneous or induced abortions had higher BMI (β, 0.72, 95% CI, 0.50 to 0.94) and fasting plasma glucose (β, 0.04, 95% CI, 0.01 to 0.07), and had lower total CVH scores after adjusting for confounders (β, -0.09, 95% CI, -0.18 to -0.01). CVH scores were most significantly decreased among women with 3 or more induced abortions (β, -0.26, 95% CI, -0.49, -0.02). The contribution of pregnancy loss to poorer gestational CVH mediated by increased hs-CRP levels was 23.17%. Conclusion Previous pregnancy loss was associated with poorer cardiovascular health during gestation, which may be mediated by their gestational inflammatory status. Exposure to miscarriage alone was not a significant predictor of poorer CVH.
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Affiliation(s)
- Shuang-shuang Ma
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Hefei Fourth People's Hospital, Hefei, China
- Anhui Mental Health Center, Hefei, Anhui, China
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Wan-jun Yin
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Peng Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Hai-xia Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
| | - Xiao-min Jiang
- Department of Obstetrics and Gynecology, Anhui Women and Child Health Care Hospital, Hefei, Anhui, China
| | - Ying Zhang
- Department of Obstetrics and Gynecology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Ruixue Tao
- Department of Obstetrics and Gynecology, Hefei First People's Hospital, Hefei, Anhui, China
| | - Jin-fang Ge
- School of Pharmacy, Anhui Medical University, Hefei, Anhui, China
- *Correspondence: Jin-fang Ge,
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, Anhui, China
- Peng Zhu,
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Muchira JM, Gona PN, Mogos MF, Stuart-Shor EM, Leveille SG, Piano MR, Hayman LL. Association of Parental Cardiovascular Health With Disability-Adjusted Life Years in the Offspring: Results From the Framingham Heart Study. Circ Cardiovasc Qual Outcomes 2023; 16:e008809. [PMID: 36484252 DOI: 10.1161/circoutcomes.121.008809] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Disability-adjusted life years (DALYs) are used to evaluate the relative burden of diseases in populations to help set prevention or treatment priorities. The impact of parental cardiovascular health (CVH) on healthy life years lost from cardiovascular disease (CVD) in adult offspring is unknown. We compared parent-offspring CVD DALYs trends over the life course and examined the association of parental CVH with offspring CVD DALYs. METHODS Using data from the Framingham Heart Study, 4814 offspring-mother-father trios were matched for age at selected baseline exams. CVH score was computed from the number of CVH metrics attained at recommended levels: poor (0-2), intermediate (3-4), and ideal (5-7). CVD DALYs were defined as the sum of years of life lost and years lived with CVD. Age-sex-standardized life expectancy and disability weights were derived from the actuarial life tables and Global Burden of Disease study, respectively. Multivariable-adjusted linear regression was used to investigate the association of parental CVH with offspring CVD DALYs. RESULTS Over an equal 47-year follow-up, parents lost nearly twice the number of CVD DALYs compared to their offspring (23 234 versus 12 217). However, age-adjusted CVD DALYs were higher at younger ages and similar along the life course for parents and offspring. One-unit increase in parental CVH was associated with 5 healthy life months saved in offspring. Offspring of mothers with ideal versus poor CVH had 3 healthy life years saved (β=-3.0 DALYs [95% CI, -5.6 to -0.3]). No statistically significant association was found between paternal CVH categories and offspring CVD DALYs. CONCLUSIONS Higher maternal and paternal CVH were associated with increased healthy life years in offspring; however, the association was strongest between mothers and offspring. Investment in CVH promotion along the life course has the potential to reduce the burden of CVD in the current and future generation of adults.
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Affiliation(s)
- James M Muchira
- Center for Research Development and Scholarship, Vanderbilt University School of Nursing, Nashville, TN (J.M.M., M.F.M., M.R.P.)
| | - Philimon N Gona
- Robert and Donna Manning College of Nursing and Health Sciences, University of Massachusetts Boston (P.N.G., E.S.-S., S.G.L., L.L.H.)
| | - Mulubrhan F Mogos
- Center for Research Development and Scholarship, Vanderbilt University School of Nursing, Nashville, TN (J.M.M., M.F.M., M.R.P.)
| | - Eileen M Stuart-Shor
- Robert and Donna Manning College of Nursing and Health Sciences, University of Massachusetts Boston (P.N.G., E.S.-S., S.G.L., L.L.H.).,Beth Israel Deaconess Medical Center, Boston, MA (E.S.-S., S.G.L.)
| | - Suzanne G Leveille
- Robert and Donna Manning College of Nursing and Health Sciences, University of Massachusetts Boston (P.N.G., E.S.-S., S.G.L., L.L.H.).,Beth Israel Deaconess Medical Center, Boston, MA (E.S.-S., S.G.L.).,Harvard Medical School, Boston, MA (S.G.L.)
| | - Mariann R Piano
- Center for Research Development and Scholarship, Vanderbilt University School of Nursing, Nashville, TN (J.M.M., M.F.M., M.R.P.)
| | - Laura L Hayman
- Robert and Donna Manning College of Nursing and Health Sciences, University of Massachusetts Boston (P.N.G., E.S.-S., S.G.L., L.L.H.).,Department of Population & Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA (L.L.H.)
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Huang Z, Chen Z, Wang X, Ding X, Cai Z, Li W, Cai Z, Lan Y, Chen G, Fang W, Wu S, Chen Y. Association of Cardiovascular Health Score Trajectory With Incident Myocardial Infarction in Hypertensive Patients. Hypertension 2022; 79:2622-2630. [PMID: 36082672 DOI: 10.1161/hypertensionaha.122.19633] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND The association between changes in cardiovascular health score (CHS) over time and myocardial infarction (MI) risk in hypertensive patients remains unclear. METHOD This was a prospective study comprising 17 374 hypertensive patients from the Kailuan study cohort who underwent 3 surveys and were identified to be free of MI, stroke, or cancer from 2006 to 2010. CHS consisted of 7 cardiovascular health metrics (plasma glucose, total cholesterol, blood pressure, smoking, body mass index, physical activity, salt intake), ranging from 0 (worst) to 13 (best) in the study. CHS trajectories were developed during 2006 to 2010 to predict the MI risk from 2010 to 2020. Additionally, the Cox proportional hazard model was established to calculate the hazard ratio and 95% CI of incident MI in different trajectory groups. RESULT This study identified the 5 CHS trajectories from 2006 to 2010: low-stable (n=1161; range, 4.7-4.5), moderate-decreasing (n=3928; decreased from 6.9 to 6.0), moderate-increasing (n=1014; increased from 5.6 to 7.8), high-stable I (n=7940; range, 8.1-8.2), and high-stable II (n=3331; range, 9.2-9.7). During the median follow-up of 10.04 years, 288 incident MI cases were identified. After adjusting for potential confounders, compared with low-stable group, the hazard ratio and 95% CI of MI were 0.24 (0.15-0.40) for high-stable II, 0.36 (0.24-0.54) for high-stable I, 0.46 (0.25-0.83) for moderate-increasing, and 0.61 (0.41-0.90) for moderate-decreasing, respectively. CONCLUSIONS In hypertensive patients, high-stable CHS or improvement in CHS is associated with a lower risk of incident MI, when compared with low-stable CHS trajectory over time.
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Affiliation(s)
- Zegui Huang
- Shantou University Medical College, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China]
| | - Zekai Chen
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, the Netherlands (Z. Chen)
| | - Xianxuan Wang
- Shantou University Medical College, China (Z.H., X.W., Zhiwei Cai, W.F.)
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China (Z.H., X.W., Zefeng Cai, Y.L., W.F., Y.C.)
| | - Xiong Ding
- School of Public Health, Wuhan University, China (X.D.)
| | - Zefeng Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China (Z.H., X.W., Zefeng Cai, Y.L., W.F., Y.C.)
| | - Weijian Li
- Department of Cardiology, Shenzhen Luohu People's Hospital, China (W.L.)
| | - Zhiwei Cai
- Shantou University Medical College, China (Z.H., X.W., Zhiwei Cai, W.F.)
| | - Yulong Lan
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China (Z.H., X.W., Zefeng Cai, Y.L., W.F., Y.C.)
| | - Guanzhi Chen
- China Medical University, Shenyang, China (G.C.)
| | - Wei Fang
- Shantou University Medical College, China (Z.H., X.W., Zhiwei Cai, W.F.)
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China (Z.H., X.W., Zefeng Cai, Y.L., W.F., Y.C.)
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China
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Lloyd-Jones DM, Ning H, Labarthe D, Brewer L, Sharma G, Rosamond W, Foraker RE, Black T, Grandner MA, Allen NB, Anderson C, Lavretsky H, Perak AM. Status of Cardiovascular Health in US Adults and Children Using the American Heart Association's New "Life's Essential 8" Metrics: Prevalence Estimates From the National Health and Nutrition Examination Survey (NHANES), 2013 Through 2018. Circulation 2022; 146:822-835. [PMID: 35766033 DOI: 10.1161/circulationaha.122.060911] [Citation(s) in RCA: 272] [Impact Index Per Article: 90.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 06/22/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND The American Heart Association recently published an updated algorithm for quantifying cardiovascular health (CVH)-the Life's Essential 8 score. We quantified US levels of CVH using the new score. METHODS We included individuals ages 2 through 79 years (not pregnant or institutionalized) who were free of cardiovascular disease from the National Health and Nutrition Examination Surveys in 2013 through 2018. For all participants, we calculated the overall CVH score (range, 0 [lowest] to 100 [highest]), as well as the score for each component of diet, physical activity, nicotine exposure, sleep duration, body mass index, blood lipids, blood glucose, and blood pressure, using published American Heart Association definitions. Sample weights and design were incorporated in calculating prevalence estimates and standard errors using standard survey procedures. CVH scores were assessed across strata of age, sex, race and ethnicity, family income, and depression. RESULTS There were 23 409 participants, representing 201 728 000 adults and 74 435 000 children. The overall mean CVH score was 64.7 (95% CI, 63.9-65.6) among adults using all 8 metrics and 65.5 (95% CI, 64.4-66.6) for the 3 metrics available (diet, physical activity, and body mass index) among children and adolescents ages 2 through 19 years. For adults, there were significant differences in mean overall CVH scores by sex (women, 67.0; men, 62.5), age (range of mean values, 62.2-68.7), and racial and ethnic group (range, 59.7-68.5). Mean scores were lowest for diet, physical activity, and body mass index metrics. There were large differences in mean scores across demographic groups for diet (range, 23.8-47.7), nicotine exposure (range, 63.1-85.0), blood glucose (range, 65.7-88.1), and blood pressure (range, 49.5-84.0). In children, diet scores were low (mean 40.6) and were progressively lower in higher age groups (from 61.1 at ages 2 through 5 to 28.5 at ages 12 through 19); large differences were also noted in mean physical activity (range, 63.1-88.3) and body mass index (range, 74.4-89.4) scores by sociodemographic group. CONCLUSIONS The new Life's Essential 8 score helps identify large group and individual differences in CVH. Overall CVH in the US population remains well below optimal levels and there are both broad and targeted opportunities to monitor, preserve, and improve CVH across the life course in individuals and the population.
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Affiliation(s)
- Donald M Lloyd-Jones
- Northwestern University Feinberg School of Medicine, Chicago, IL (D.M.L.-J., H.N., D.L., N.B.A., A.M.P.)
| | - Hongyan Ning
- Northwestern University Feinberg School of Medicine, Chicago, IL (D.M.L.-J., H.N., D.L., N.B.A., A.M.P.)
| | - Darwin Labarthe
- Northwestern University Feinberg School of Medicine, Chicago, IL (D.M.L.-J., H.N., D.L., N.B.A., A.M.P.)
| | | | - Garima Sharma
- Johns Hopkins University School of Medicine, Baltimore, MD (G.S.)
| | - Wayne Rosamond
- University of North Carolina Gillings School of Public Health, Chapel Hill (W.R.)
| | - Randi E Foraker
- Washington University School of Medicine, St Louis, MO (R.E.F.)
| | - Terrie Black
- University of Massachusetts Amherst College of Nursing (T.B.)
| | | | - Norrina B Allen
- Northwestern University Feinberg School of Medicine, Chicago, IL (D.M.L.-J., H.N., D.L., N.B.A., A.M.P.)
| | - Cheryl Anderson
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla (C.A.)
| | | | - Amanda M Perak
- Northwestern University Feinberg School of Medicine, Chicago, IL (D.M.L.-J., H.N., D.L., N.B.A., A.M.P.)
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