Published online Jan 15, 2018. doi: 10.4239/wjd.v9.i1.33
Peer-review started: May 5, 2017
First decision: July 20, 2017
Revised: July 25, 2017
Accepted: November 25, 2017
Article in press: November 25, 2017
Published online: January 15, 2018
To assess the association of resting heart rate with all-cause and cardiovascular disease (CVD) mortality in the Diabetes Heart Study (DHS).
Out of a total of 1443 participants recruited into the DHS, 1315 participants with type 2 diabetes who were free of atrial fibrillation and supraventricular tachycardia during the baseline exam were included in this analysis. Heart rate was collected from baseline resting electrocardiogram and mortality (all-cause and CVD) was obtained from state and national death registry. Kaplan-Meier (K-M) and Cox proportional hazard analyses were used to assess the association.
The mean age, body mass index (BMI) and systolic blood pressure (SBP) of the cohort were 61.4 ± 9.2 years, 32.0 ± 6.6 kg/m2, and 139.4 ± 19.4 mmHg respectively. Fifty-six percent were females, 85% were whites, 15% were blacks, 18% were smokers. The mean ± SD heart rate was 69.8 (11.9) beats per minute (bpm). After a median follow-up time of 8.5 years (maximum follow-up time is 14.0 years), 258 participants were deceased. In K-M analysis, participants with heart rate above the median had a significantly higher event rate compared with those below the median (log-rank P = 0.0223). A one standard deviation increase in heart rate was associated with all-cause mortality in unadjusted (hazard ratio 1.16, 95%CI: 1.03-1.31) and adjusted (hazard ratio 1.20, 95%CI: 1.05-1.37) models. Similar results were obtained with CVD mortality as the outcome of interest.
Heart rate is an independent predictor of all-cause mortality in this population with type 2 diabetes. In this study, a 1-SD increase in heart rate was associated with a 20% increase in risk suggesting that additional prognostic information may be gleaned from this ubiquitously collected vital sign.
Core tip: Persons with type 2 diabetes mellitus (T2DM) have a higher rate of morbidity and mortality compared with those without diabetes. Prevention is the best way of reducing the risk in this population. Unlike the general population, the predictive value of resting heart rate for mortality in persons with T2DM is not well established. We used baseline data and a median of 8.5 years of follow up from the Diabetes Heart Study to show that resting heart rate is an independent predictor of mortality in individuals with T2DM. Our data suggests that efforts that reduce heart rate in T2DM may be useful.
- Citation: Prasada S, Oswalt C, Yeboah P, Saylor G, Bowden D, Yeboah J. Heart rate is an independent predictor of all-cause mortality in individuals with type 2 diabetes: The diabetes heart study. World J Diabetes 2018; 9(1): 33-39
- URL: https://www.wjgnet.com/1948-9358/full/v9/i1/33.htm
- DOI: https://dx.doi.org/10.4239/wjd.v9.i1.33
Diabetes mellitus is a major health problem affecting 29.1 million (9.3%) Americans[1-3]. Type 2 diabetes mellitus comprises 90-95% of these diagnosed cases[1,2]. The Center for Disease Control (CDC) estimates that one-third of Americans will develop type 2 diabetes at some point in their lifetime. Cardiovascular disease (CVD) death rates are 1.7 times higher for adults with diabetes than those without diabetes[1]. Understanding which specific factors and findings are associated with increased risk of mortality may help us prognosticate patients as well as provide specific, earlier therapies for those at highest risk.
Resting heart rate (RHR) is an easily and ubiquitously collected vital sign at every clinical patient encounter. RHR is a function of many factors including recent activity, tobacco use, medications, emotional stability, air temperature, and position[4-7]. Resting heart rate is associated with increased cardiovascular risk in the general population[4-18]. Zhang et al[4] in meta-analysis of 46 studies including 1246203 patients showed that higher resting heart rate is associated with increased risk of all-cause and cardiovascular mortality, independent of traditional cardiovascular risk factors. Zhang et al[4] hypothesized that association is due to higher resting heart rate signaling an imbalance between vagal and sympathetic tone and thus dysfunctional autonomic nervous system activity. The prevalence of autonomic dysfunction is very high in individuals with diabetes mellitus raising the possibility that resting heart rate may not be as informative as a risk marker in diabetes as in the general population. It remains unclear if the association between resting heart rate and CVD risk exist in higher risk populations such as those with type-2 diabetes mellitus[19-25]. We sought to examine the association between resting heart rate, all-cause and CVD mortality in individuals with type 2 diabetes in the Diabetes Heart Study (DHS).
The details of the National Institutes of Health -funded Diabetes Heart Study have been published[26-30]. There were 1443 type 2 diabetic concordant siblings from 564 different families included in the study. Type 2 Diabetes mellitus (DM) was defined as diagnosed diabetes after 35 years of age managed with oral agents and/or insulin without any history of diabetic ketoacidosis. Of these participants, 85% are European Americans and 15% are African Americans. From 1998 to 2005, participants were recruited primarily from western North Carolina from outpatient medicine clinics, health fairs, community outreach programs, and referrals by physicians without any inclusions or exclusions based on prior cardiovascular disease history. Potential participants were recruited by letters which included a telephone number to call if interested. Interviews were performed by telephone and then by an examination visit. Potential participants were sent the informed consent forms and questionnaires before their examination visits for them to review. Written informed consent was obtained at these visits for all participants. The Wake Forest School of Medicine Institutional Review Board approved all study protocols. The study sample represents a cross-section of the diabetic community living in western North Carolina.
Participant examination visits were performed in the General Clinical Research Center at Wake Forest Baptist Medical Center. Exams included medical history and health behavior interviews. In addition, anthropometric measures, blood pressure, fasting blood draw, and a spot urine collection were measured. Laboratory analyses included total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, fasting glucose, glycated hemoglobin, blood chemistries, and urine albumin and creatinine. Prior CVD history was based on each participant’s history including events (heart attack, stroke) and/or interventions (coronary artery bypass grafting, carotid endarterectomy, coronary angiography. Hypertension was defined as blood pressure measurements over 140 mmHg systolic/90 mmHg diastolic or prescription of anti-hypertensive medication. The four-variable Modification of Diet in Renal Disease equation was used to calculate estimated glomerular filtration rate (eGFR). In DHS patients’ medication list was not rigorously collected during the baseline exam and therefore is not complete.
All DHS participants had a resting electrocardiogram (ECG) during the baseline examination. The resting 12-lead electrocardiogram was performed using Marquette MAC 500 ECG instrument (Marquette Electronics, Milwaukee, WI, United States) after a uniform resting period (after 5 min of rest). The electrocardiogram was read at the Wake Forest Epidemiologic Cardiology Research Center using analytical software. Resting heart rate used in this analysis were those reported from the participants resting ECG. For this study, we included type 2 diabetic participants (n = 1315) without atrial fibrillation and supraventricular tachycardia.
Ascertainment has been described in detail previously[25,27]. For all participants in this study, the National Social Security Death Index maintained by the United States Social Security Administration was used to determine vital status. Length of follow-up was measured from the date of the initial study visit to the end of 2012, unless the participant was confirmed as deceased. In those cases, length of follow-up was measured from the date of the initial examination visit to the date of death.
Summary statistics were described for continuous variables as mean ± SD and for categorical variables as frequency (percentage). Summary statistics of participants above and below the median heart rate [heart rate (HR) = 69] was compared using chi-square test for categorical variables and students t-test for continuous variables. Kaplan-Meier analysis was use to assess the events-free survivals of DHS participants with resting heart rate above and below the median heart rate and the curves compared using log-rank test.
Cox proportional hazards regression analysis was subsequently used to assess the association between resting heart rate, all-cause and cardiovascular disease mortality adjusting for confounders via 4 models; Model 1- unadjusted; Model 2- adjusted for age, sex, and ethnicity; Model 3- Model 2+ body mass index (BMI), hemoglobin A1c, diabetes duration, systolic blood pressure, hypertension, total cholesterol level, triglyceride level, current smoking status, and eGFR and Model 4- Model 3+ comorbidities. A two sided P value of < 0.05 was accepted as statistically significant. All analyses were performed using Statistical Analysis System (SAS) JMP Pro software, version 12.0.1 (SAS Institute, Cary, NC, United States).
At baseline, mean age, diabetes duration, HbA1c, RHR, BMI, and systolic blood pressure of the cohort were 61.4 years, 10.4 years, 7.4%, 69.8 bpm, 32.0 kg/m2, and 139.4 mmHg respectively (Table 1). The majority of participants were European Americans (84.6%) and there were more women (55.9%) in the study. Of the 1315 participants, 652 (49.6%) had below median RHR and 663 (50.4%) had above median RHR (Table 1). Participants with resting heart rate below the median were older and had higher prevalence of prior CVD. Those with resting heart rate greater the median had higher BMI, diastolic blood pressure, HbA1c, glucose, triglyceride and total cholesterol levels.
| Characteristics | All (n = 1315) | < Median RHR (n = 652) | ≥ Median HR (n = 663) | P value |
| Age (yr) | 61.4 (9.2) | 62.2 (9.3) | 60.6 (9.1) | 0.0015 |
| Caucasian (%) | 1113 (84.6) | 557 (85.4) | 556 (83.9) | |
| African American (%) | 202 (15.4) | 95 (14.6) | 107 (16.1) | |
| Women (%) | 735 (55.9) | 323 (49.5) | 412 (62.1) | |
| BMI (kg/m2) | 32.0 (6.6) | 31.0 (6.5) | 33.0 (6.5) | < 0.0001 |
| Current smoker (%) | 234 (17.9) | 98 (15.1) | 136 (20.6) | 0.1336 |
| Ex-smoker (%) | 541 (41.3) | 296 (45.7) | 245 (37.2) | 0.0223 |
| Diabetes duration (yr) | 10.4 (7.04) | 10.0 (7.0) | 10.7 (7.1) | 0.0953 |
| Systolic BP (mmHg) | 139.4 (19.4) | 139.1 (19.1) | 139.7 (19.7) | 0.5661 |
| Diastolic BP (mmHg) | 73.4 (10.4) | 72.6 (10.1) | 74.2 (10.6) | 0.0044 |
| Hypertension (%) | 1116 (84.9) | 543 (83.3) | 573 (86.4) | 0.1118 |
| Prior CVD (%) | 397 (30.7) | 218 (33.7) | 179 (27.6) | 0.0161 |
| HbA1c (%) | 7.4 (1.9) | 7.1 (1.67) | 7.7 (2.1) | < 0.0001 |
| Glucose (g/L) | 1.4 (0.6) | 1.3 (0.5) | 1.5 (0.7) | < 0.0001 |
| Total cholesterol (g/L) | 1.8 (0.5) | 1.8 (0.4) | 1.9 (0.5) | 0.0006 |
| HDL (g/L) | 0.44 (0.1) | 0.4 (0.1) | 0.4 (0.1) | 0.7662 |
| LDL (g/L) | 1.0 (0.4) | 1.0 (0.3) | 1.05 (0.4) | 0.2616 |
| Triglycerides (g/L) | 1.8 (1.2) | 1.7 (1.1) | 2.0 (1.3) | < 0.0001 |
| eGFR (mL/min × 1.73 m2) | 67.9 (20.5) | 68.2 (20.0) | 67.7 (20.9) | 0.6865 |
| RHR (bpm) | 69.8 (11.9) | 60.2 (5.6) | 79.3 (8.4) | < 0.0001 |
After a median follow-up time of 8.5 years (maximum follow-up time of 14.0 years), 258 participants (19.6%) were deceased. As shown in Figure 1A, participants with resting heart rate ≥ median had significantly less mortality event-free survival compared with those with resting HR < median (Log rank P = 0.022). Table 2 shows the CVD mortality risk associated with 1 standard deviation increase in resting heart rate in the 4 models. In the full Cox regression model, each 1-SD increase in RHR was associated with a 20% increase in risk for all-cause mortality [HR 1.20 (95%CI: 1.05-1.37), P = 0.01; Table 2] after controlling for age, sex, ethnicity, BMI, hemoglobin A1c, diabetes duration, systolic blood pressure, hypertension, total cholesterol level, triglyceride level, current smoking status, eGFR, and baseline CVD history. An interaction term of resting heart rate and either sex or race was not significant in our full model.
| Models | Hazard ratio | 95%CI | P value |
| All-cause mortality (model) | |||
| 1 | 1.16 | 1.03-1.31 | 0.0151 |
| 2 | 1.26 | 1.12-1.42 | 0.0020 |
| 3 | 1.15 | 1.01-1.32 | 0.0355 |
| 4 | 1.20 | 1.05-1.37 | 0.0079 |
| Cardiovascular mortality (model) | |||
| 1 | 1.19 | 0.98-1.43 | 0.0688 |
| 2 | 1.29 | 1.07-1.54 | 0.0073 |
| 3 | 1.14 | 0.93-1.40 | 0.2164 |
| 4 | 1.19 | 0.97-1.47 | 0.0975 |
After the same follow-up period (median follow-up 8.5 years; maximum follow-up 14.0 years), 111 participants (8.4%) died from CVD causes. Participants with resting heart rate > median had a lower CVD mortality event-free survival compared with those < median (Log rank P = 0.045) (Figure 1B). Resting heart rate showed trends similar to that if all-cause mortality but some of the models did not attain statistical significance likely because of the lower number of CVD mortality that occurred during the follow up (Table 2).
The goal of this study was to assess the association between resting heart rate and mortality in type-2 diabetics, a high risk group with very high prevalence of cardiac autonomic dysfunction[29,30]. Our study showed that despite the high prevalence of cardiac autonomic dysfunction in type-2 diabetics, resting heart rate predicts mortality similar to that found in the general population.
Current data is consistent with an association between resting heart rate and mortality in the general population[4-18]. In the absence of medication use and cardiac arrhythmias, resting heart rate variability is controlled by a balance between sympathetic and parasympathetic systems. Persistently high resting heart rates are seen in stressful situations, chronic illness, physical inactivity, etc., all of which have been associated with higher mortality and morbidity in the general population. In diabetes mellitus, however, complex cascades of pathways are activated by hyperglycemia resulting in neuronal ischemic and cellular death[21,22]. This neuronal death leads to conditions such as polyneuropathies and cardiac autonomic neuropathy. Symptoms of cardiac autonomic neuropathy include resting tachycardia, exercise intolerance, postural hypotension and diabetes cardiomyopathy. Thus resting tachycardia may represent a stressful state in both diabetic and non-diabetic individuals but the pathophysiology may be different. Hillis et al[24,25] used data from the Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation study of about 11140 patients with type-2 diabetes mellitus, recruited from 215 centers in 20 countries, to show that resting heart rate was associated with all-cause mortality, macrovascular and microvascular complications. However, Bartáková et al[20] used a smaller cohort of 421 type 2 diabetes mellitus (T2DM) patients to show that resting heart rate was not associated with advanced cardiovascular events and all-cause mortality. The present study findings are consistent with the findings by Hillis et al[24,25]. In our study a 1 standard deviation increase in resting heart rate was associated with a 20% increase in CVD/ all-cause mortality.
In our study, the mean BMI of participants with resting heart rate greater than the median was higher than those with resting heart rate less than the median suggesting that factors such as obesity, physical inactivity/deconditioning, and endocrine abnormalities such as thyroid function may play a significant role in the increased risk observed. We adjusted for BMI in our final models but data on physical activity and thyroid function were not collected in the DHS so it is unclear if adequate adjustment for these variables will change our estimates in this analysis. Nonetheless, this suggests that targeting factors such as obesity, physical activity and other factors that leads to reduced resting heart rate may help reduced the high mortality risk seen in persons’ with diabetes mellitus. Additionally Aggressive control of hyperglycemia to minimize the prevalence of cardiac autonomic dysfunction[22] which may manifest as resting tachycardia and reduction of stress among others, all of which leads to reduce resting heart rate in the general population may all be beneficial targets for reducing mortality in patients with type-2 diabetes mellitus.
This study is an observational study and therefore despite the effort to adjust for all possible confounders available to us, our results may still be due to residual confounding. We did not have adequate documentation of medications that influence resting heart rate in the Diabetes Heart Study and therefore could not eliminate nor adjust for them in our full model. This may have affected our results and findings. Our study results and findings should therefore be interpreted with this limitation in mind. The DHS only included whites and blacks and therefore our results may not be extended to other race/ethnicities. The number of events especially CVD mortality that occurred during the follow up was small hence the non-significant p valves seen in Table 2.
In conclusion, heart rate is an independent predictor of all-cause and CVD mortality in this population with type 2 diabetes. In this study, a 1-SD increase in HR was associated with a 20% increase in risk suggesting that additional prognostic information may be available from this ubiquitously collected vital sign.
Individuals with type 2 diabetes mellitus have a significantly higher risk of morbidity and mortality compared with those without diabetes mellitus. Cardiovascular diseases still remains the number one cause of death in persons with diabetes mellitus. Current efforts at reducing this risk include tight glycemic control, control of cardiovascular risk factors and weight reduction among others. Despite these measures, morbidity and mortality in diabetes mellitus still remains high. There is therefore the need for identifying other non-traditional risk factors to further reduce this risk. Resting heart rate has been associated with mortality in the general population. However the association of resting heart rate and mortality risk in diabetes mellitus is unclear.
There are several ways (pharmacological and non-pharmacological) that resting heart rate can be reduced. Establishing an association between resting heart rate and mortality in individuals with diabetes mellitus provides a whole new avenue and pathway for further reducing the high mortality risk associated with the disease.
This study used a large population of individuals with diabetes mellitus.
Heart rate was collected from baseline resting electrocardiogram and mortality (all-cause and CVD) was obtained from state and national death registry. Kaplan-Meier (K-M) and Cox proportional hazard analyses were used to assess the association.
The results show that a 1 standard deviation increase in resting heart rate is associated with a 20% increase in the risk mortality.
Resting heart rate is a risk factor for all-cause and cardiovascular disease mortality in individuals with diabetes mellitus and may provide additional prognostic information.
Resting heart rate is a cheap ubiquitous vital sign that is obtained during every doctor’s visit. The information gleaned from this vital sign maybe be useful to guide therapy choices which will ultimately reduce mortality in this population.
Manuscript source: Unsolicited manuscript
Specialty type: Endocrinology and metabolism
Country of origin: United States
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| 1. | Centers for Disease Control and Prevention. National Diabetes Statistics Report: Estimates of Diabetes and Its Burden in the United States, 2014. Atlanta, GA: US Department of Health and Human Services 2014; . [Cited in This Article: ] |
| 2. | Benjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, de Ferranti SD, Floyd J, Fornage M, Gillespie C. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation. 2017;135:e146-e603. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 6102] [Cited by in F6Publishing: 5972] [Article Influence: 853.1] [Reference Citation Analysis (0)] |
| 3. | World Health Organization. Global report on diabetes. USA: Geneva 2016; Available from: http://apps.who.int/iris/bitstream/10665/204871/1/9789241565257_eng.pdf. [Cited in This Article: ] |
| 4. | Zhang D, Shen X, Qi X. Resting heart rate and all-cause and cardiovascular mortality in the general population: a meta-analysis. CMAJ. 2016;188:E53-E63. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 144] [Cited by in F6Publishing: 169] [Article Influence: 18.8] [Reference Citation Analysis (0)] |
| 5. | Hansen TW, Thijs L, Boggia J, Li Y, Kikuya M, Björklund-Bodegård K, Richart T, Ohkubo T, Jeppesen J, Torp-Pedersen C. Prognostic value of ambulatory heart rate revisited in 6928 subjects from 6 populations. Hypertension. 2008;52:229-235. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 68] [Cited by in F6Publishing: 73] [Article Influence: 4.6] [Reference Citation Analysis (0)] |
| 6. | Legeai C, Jouven X, Tafflet M, Dartigues JF, Helmer C, Ritchie K, Amouyel P, Tzourio C, Ducimetière P, Empana JP. Resting heart rate, mortality and future coronary heart disease in the elderly: the 3C Study. Eur J Cardiovasc Prev Rehabil. 2011;18:488-497. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 28] [Cited by in F6Publishing: 31] [Article Influence: 2.4] [Reference Citation Analysis (0)] |
| 7. | Inoue R, Ohkubo T, Kikuya M, Metoki H, Asayama K, Kanno A, Obara T, Hirose T, Hara A, Hoshi H. Predictive value for mortality of the double product at rest obtained by home blood pressure measurement: the Ohasama study. Am J Hypertens. 2012;25:568-575. [PubMed] [DOI] [Cited in This Article: ] [Cited by in F6Publishing: 1] [Reference Citation Analysis (0)] |
| 8. | Wannamethee G, Shaper AG, Macfarlane PW. Heart rate, physical activity, and mortality from cancer and other noncardiovascular diseases. Am J Epidemiol. 1993;137:735-748. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 64] [Cited by in F6Publishing: 68] [Article Influence: 2.2] [Reference Citation Analysis (0)] |
| 9. | Hartaigh Bó, Allore HG, Trentalange M, McAvay G, Pilz S, Dodson JA, Gill TM. Elevations in time-varying resting heart rate predict subsequent all-cause mortality in older adults. Eur J Prev Cardiol. 2015;22:527-534. [PubMed] [DOI] [Cited in This Article: ] |
| 10. | Custodis F, Roggenbuck U, Lehmann N, Moebus S, Laufs U, Mahabadi AA, Heusch G, Mann K, Jöckel KH, Erbel R. Resting heart rate is an independent predictor of all-cause mortality in the middle aged general population. Clin Res Cardiol. 2016;105:601-612. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 23] [Cited by in F6Publishing: 22] [Article Influence: 2.8] [Reference Citation Analysis (0)] |
| 11. | Palatini P, Julius S. Elevated heart rate: a major risk factor for cardiovascular disease. Clin Exp Hypertens. 2004;26:637-644. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 193] [Cited by in F6Publishing: 198] [Article Influence: 10.4] [Reference Citation Analysis (0)] |
| 12. | Ohira T, Diez Roux AV, Prineas RJ, Kizilbash MA, Carnethon MR, Folsom AR. Associations of psychosocial factors with heart rate and its short-term variability: multi-ethnic study of atherosclerosis. Psychosom Med. 2008;70:141-146. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 37] [Cited by in F6Publishing: 38] [Article Influence: 2.4] [Reference Citation Analysis (0)] |
| 13. | American Heart Association. All about Heart Rate (Pulse); 2015. Available from: http://www.heart.org/HEARTORG/Conditions/More/MyHeartandStrokeNews/All-About-Heart-Rate-Pulse_ UCM_438850_Article.jsp#.WPQFZfnyuM8. [Cited in This Article: ] |
| 14. | Seccareccia F, Pannozzo F, Dima F, Minoprio A, Menditto A, Lo Noce C, Giampaoli S; Malattie Cardiovascolari Aterosclerotiche Istituto Superiore di Sanita Project. Heart rate as a predictor of mortality: the MATISS project. Am J Public Health. 2001;91:1258-1263. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 129] [Cited by in F6Publishing: 138] [Article Influence: 6.0] [Reference Citation Analysis (0)] |
| 15. | Fox K, Borer JS, Camm AJ, Danchin N, Ferrari R, Lopez Sendon JL, Steg PG, Tardif JC, Tavazzi L, Tendera M; Heart Rate Working Group. Resting heart rate in cardiovascular disease. J Am Coll Cardiol. 2007;50:823-830. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 707] [Cited by in F6Publishing: 690] [Article Influence: 40.6] [Reference Citation Analysis (0)] |
| 16. | Boudoulas KD, Borer JS, Boudoulas H. Heart Rate, Life Expectancy and the Cardiovascular System: Therapeutic Considerations. Cardiology. 2015;132:199-212. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 32] [Cited by in F6Publishing: 38] [Article Influence: 4.2] [Reference Citation Analysis (0)] |
| 17. | Lang CC, Gupta S, Kalra P, Keavney B, Menown I, Morley C, Padmanabhan S. Elevated heart rate and cardiovascular outcomes in patients with coronary artery disease: clinical evidence and pathophysiological mechanisms. Atherosclerosis. 2010;212:1-8. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 41] [Cited by in F6Publishing: 37] [Article Influence: 2.6] [Reference Citation Analysis (0)] |
| 18. | Johansen CD, Olsen RH, Pedersen LR, Kumarathurai P, Mouridsen MR, Binici Z, Intzilakis T, Køber L, Sajadieh A. Resting, night-time, and 24 h heart rate as markers of cardiovascular risk in middle-aged and elderly men and women with no apparent heart disease. Eur Heart J. 2013;34:1732-1739. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 92] [Cited by in F6Publishing: 99] [Article Influence: 9.0] [Reference Citation Analysis (0)] |
| 19. | Anselmino M, Ohrvik J, Rydén L; Euro Heart Survey Investigators. Resting heart rate in patients with stable coronary artery disease and diabetes: a report from the euro heart survey on diabetes and the heart. Eur Heart J. 2010;31:3040-3045. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 43] [Cited by in F6Publishing: 45] [Article Influence: 3.2] [Reference Citation Analysis (0)] |
| 20. | Bartáková V, Klimešová L, Kianičková K, Dvořáková V, Malúšková D, Řehořová J, Svojanovský J, Olšovský J, Bělobrádková J, Kaňková K. Resting Heart Rate Does Not Predict Cardiovascular and Renal Outcomes in Type 2 Diabetic Patients. J Diabetes Res. 2016;2016:6726492. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis (0)] |
| 21. | Pop-Busui R. Cardiac autonomic neuropathy in diabetes: a clinical perspective. Diabetes Care. 2010;33:434-441. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 316] [Cited by in F6Publishing: 328] [Article Influence: 23.4] [Reference Citation Analysis (0)] |
| 22. | Manzella D, Paolisso G. Cardiac autonomic activity and Type II diabetes mellitus. Clin Sci (Lond). 2005;108:93-99. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 42] [Cited by in F6Publishing: 45] [Article Influence: 2.4] [Reference Citation Analysis (0)] |
| 23. | Stettler C, Bearth A, Allemann S, Zwahlen M, Zanchin L, Deplazes M, Christ ER, Teuscher A, Diem P. QTc interval and resting heart rate as long-term predictors of mortality in type 1 and type 2 diabetes mellitus: a 23-year follow-up. Diabetologia. 2007;50:186-194. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 67] [Cited by in F6Publishing: 56] [Article Influence: 3.3] [Reference Citation Analysis (0)] |
| 24. | Hillis GS, Hata J, Woodward M, Perkovic V, Arima H, Chow CK, Zoungas S, Patel A, Poulter NR, Mancia G. Resting heart rate and the risk of microvascular complications in patients with type 2 diabetes mellitus. J Am Heart Assoc. 2012;1:e002832. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 44] [Cited by in F6Publishing: 50] [Article Influence: 4.2] [Reference Citation Analysis (0)] |
| 25. | Hillis GS, Woodward M, Rodgers A, Chow CK, Li Q, Zoungas S, Patel A, Webster R, Batty GD, Ninomiya T. Resting heart rate and the risk of death and cardiovascular complications in patients with type 2 diabetes mellitus. Diabetologia. 2012;55:1283-1290. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 74] [Cited by in F6Publishing: 77] [Article Influence: 6.4] [Reference Citation Analysis (0)] |
| 26. | Bowden DW, Cox AJ, Freedman BI, Hugenschimdt CE, Wagenknecht LE, Herrington D, Agarwal S, Register TC, Maldjian JA, Ng MC. Review of the Diabetes Heart Study (DHS) family of studies: a comprehensively examined sample for genetic and epidemiological studies of type 2 diabetes and its complications. Rev Diabet Stud. 2010;7:188-201. [PubMed] [DOI] [Cited in This Article: ] [Cited by in F6Publishing: 53] [Reference Citation Analysis (0)] |
| 27. | Cox AJ, Azeem A, Yeboah J, Soliman EZ, Aggarwal SR, Bertoni AG, Carr JJ, Freedman BI, Herrington DM, Bowden DW. Heart rate-corrected QT interval is an independent predictor of all-cause and cardiovascular mortality in individuals with type 2 diabetes: the Diabetes Heart Study. Diabetes Care. 2014;37:1454-1461. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 56] [Cited by in F6Publishing: 66] [Article Influence: 6.6] [Reference Citation Analysis (0)] |
| 28. | Bowden DW, Lehtinen AB, Ziegler JT, Rudock ME, Xu J, Wagenknecht LE, Herrington DM, Rich SS, Freedman BI, Carr JJ. Genetic epidemiology of subclinical cardiovascular disease in the diabetes heart study. Ann Hum Genet. 2008;72:598-610. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 34] [Cited by in F6Publishing: 36] [Article Influence: 2.3] [Reference Citation Analysis (0)] |
| 29. | Cox AJ, Hsu FC, Freedman BI, Herrington DM, Criqui MH, Carr JJ, Bowden DW. Contributors to mortality in high-risk diabetic patients in the Diabetes Heart Study. Diabetes Care. 2014;37:2798-2803. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 1.2] [Reference Citation Analysis (0)] |
| 30. | Cox AJ, Hugenschmidt CE, Wang PT, Hsu FC, Kenchaiah S, Daniel K, Langefeld CD, Freedman BI, Herrington DM, Carr JJ. Usefulness of biventricular volume as a predictor of mortality in patients with diabetes mellitus (from the Diabetes Heart Study). Am J Cardiol. 2013;111:1152-1158. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 0.5] [Reference Citation Analysis (0)] |