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Desman JM, Hong ZW, Sabounchi M, Sawant AS, Gill J, Costa AC, Kumar G, Sharma R, Gupta A, McCarthy P, Nandwani V, Powell D, Carideo A, Goodwin D, Ahmed S, Gidwani U, Levin MA, Varghese R, Filsoufi F, Freeman R, Shetreat-Klein A, Charney AW, Hofer I, Chan L, Reich D, Kovatch P, Kohli-Seth R, Kraft M, Agrawal P, Kellum JA, Nadkarni GN, Sakhuja A. A distributional reinforcement learning model for optimal glucose control after cardiac surgery. NPJ Digit Med 2025; 8:313. [PMID: 40425725 PMCID: PMC12116759 DOI: 10.1038/s41746-025-01709-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2024] [Accepted: 05/08/2025] [Indexed: 05/29/2025] Open
Abstract
This study introduces Glucose Level Understanding and Control Optimized for Safety and Efficacy (GLUCOSE), a distributional offline reinforcement learning algorithm for optimizing insulin dosing after cardiac surgery. Trained on 5228 patients, tested on 920, and externally validated on 649, GLUCOSE achieved a mean estimated reward of 0.0 [-0.07, 0.06] in internal testing and -0.63 [-0.74, -0.52] in external validation, outperforming clinician returns of -1.29 [-1.37, -1.20] and -1.02 [-1.16, -0.89]. In multi-phase human validation, GLUCOSE first showed a significantly lower mean absolute error (MAE) in insulin dosing, with 0.9 units MAE versus clinicians' 1.97 units (p < 0.001) in internal testing and 1.90 versus 2.24 units (p = 0.003) in external validation. The second and third phases found GLUCOSE's performance as comparable to or exceeding that of senior clinicians in MAE, safety, effectiveness, and acceptability. These findings suggest GLUCOSE as a robust tool for improving postoperative glucose management.
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Affiliation(s)
- Jacob M Desman
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zhang-Wei Hong
- Improbable AI Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Moein Sabounchi
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ashwin S Sawant
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Hospital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jaskirat Gill
- Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ana C Costa
- Department of Cardiothoracic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gagan Kumar
- Department of Pulmonary and Critical Care Medicine, Northeast Georgia Medical Center, Gainesville, GA, USA
| | - Rajeev Sharma
- Division of Endocrinology, Hackensack University Medical Center, Hackensack, NJ, USA
| | - Arpeta Gupta
- Division of Endocrinology, Millenium Physician Group, Jacksonville, FL, USA
| | - Paul McCarthy
- Section of Cardiovascular Critical Care, Department of Cardiovascular and Thoracic Surgery, West Virginia University, Morgantown, WV, USA
| | - Veena Nandwani
- Section of Cardiovascular Critical Care, Department of Cardiovascular and Thoracic Surgery, West Virginia University, Morgantown, WV, USA
| | - Doug Powell
- Section of Cardiovascular Critical Care, Department of Cardiovascular and Thoracic Surgery, West Virginia University, Morgantown, WV, USA
| | - Alexandra Carideo
- Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Donnie Goodwin
- Section of Cardiovascular Critical Care, Department of Cardiovascular and Thoracic Surgery, West Virginia University, Morgantown, WV, USA
| | - Sanam Ahmed
- Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Umesh Gidwani
- Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew A Levin
- Department of Anesthesiology, Perioperative, and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robin Varghese
- Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Cardiothoracic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Farzan Filsoufi
- Department of Cardiothoracic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert Freeman
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Avniel Shetreat-Klein
- Department of Rehabilitation and Physical Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexander W Charney
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ira Hofer
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Anesthesiology, Perioperative, and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lili Chan
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David Reich
- Department of Anesthesiology, Perioperative, and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Patricia Kovatch
- Scientific Computing, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Roopa Kohli-Seth
- Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Monica Kraft
- Samuel Bronfman Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pulkit Agrawal
- Improbable AI Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - John A Kellum
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Girish N Nadkarni
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ankit Sakhuja
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Institute for Critical Care Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Jacquier M, Tavernier A, Quenot JP, Masson D, Ksiazek E, Fournel I, Grober J. Glucagon-like peptide 1 level and risk of death within 90 days after intensive care unit admission: A substudy of the IVOIRE cohort. PLoS One 2025; 20:e0323709. [PMID: 40424240 PMCID: PMC12111264 DOI: 10.1371/journal.pone.0323709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2024] [Accepted: 04/12/2025] [Indexed: 05/29/2025] Open
Abstract
BACKGROUND Elevated plasma levels of glucagon-like peptide-1 (GLP-1) have been associated with poor clinical outcome in patients with sepsis. This study investigated the association between GLP-1 levels, and survival at 90 days in a large cohort of critically ill patients. METHODS All patients aged ≥ 18 years admitted to the intensive care unit (ICU) in a large university hospital, and receiving ≥1 life support therapy for organ failure were eligible for inclusion. Plasma samples were taken within 24h of ICU admission. We measured GLP-1 using a commercial ELISA kit. Cumulative probability of death at 90 days (D90) was plotted using the Kaplan-Meier method by quartiles of GLP-1. The effect of GLP-1 quartile on D90 survival was analyzed using a Cox proportional hazards model. RESULTS A total of 507 patients had GLP-1 dosage; mean age 64.5 ± 14.5 years; 179 (35.3%) women. GLP-1 levels ranged from 0.03 to 129.2 (median 7.3[IQR:3.3;19.1]). Higher mean age, SOFA, SAPS II, and LPS 3HM were found in patients with higher GLP-1 quartile by univariate analysis. Overall, 229 patients (45.2%) died within 90 days. The cumulative probability of death was significantly associated with GLP-1 quartile (p log rank<0.0001). After adjustment for age, SOFA, renal replacement therapy and vasopressor treatment, a significantly increased risk was observed only for patients with the highest quartile of GLP-1 (adjusted hazard ratio 1.65 [1.06; 2.56] for 4th vs 1st quartile of GLP-1). CONCLUSION After adjusting for demographic and clinical characteristics, only the highest quartile of GLP-1 remained independently associated with an increased risk of death at 90 days after admission to ICU.
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Affiliation(s)
- Marine Jacquier
- Service de Médecine Intensive-Réanimation, CHU Dijon, Bourgogne, France
- Equipe Lipness, Centre de Recherche INSERM UMR1231 et LabEx LipSTIC, Université de Bourgogne-Franche Comté, Dijon, France
| | - Annabelle Tavernier
- Equipe Lipness, Centre de Recherche INSERM UMR1231 et LabEx LipSTIC, Université de Bourgogne-Franche Comté, Dijon, France
| | - Jean-Pierre Quenot
- Service de Médecine Intensive-Réanimation, CHU Dijon, Bourgogne, France
- Equipe Lipness, Centre de Recherche INSERM UMR1231 et LabEx LipSTIC, Université de Bourgogne-Franche Comté, Dijon, France
- Centre d’Investigation Clinique, CHU Dijon, Dijon, France
- INSERM, CIC 1432, Module Epidémiologie Clinique, Dijon, France
| | - David Masson
- Equipe Lipness, Centre de Recherche INSERM UMR1231 et LabEx LipSTIC, Université de Bourgogne-Franche Comté, Dijon, France
| | - Elea Ksiazek
- Centre d’Investigation Clinique, CHU Dijon, Dijon, France
- INSERM, CIC 1432, Module Epidémiologie Clinique, Dijon, France
| | - Isabelle Fournel
- Centre d’Investigation Clinique, CHU Dijon, Dijon, France
- INSERM, CIC 1432, Module Epidémiologie Clinique, Dijon, France
| | - Jacques Grober
- Equipe Lipness, Centre de Recherche INSERM UMR1231 et LabEx LipSTIC, Université de Bourgogne-Franche Comté, Dijon, France
- AgroSup, LNC UMR1231, Dijon, France
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Kang J, Chai X, Jia T, Hu H, Fu R, Nie H. Global research trends in perioperative care for diabetic patients: a bibliometric and visualized study. Perioper Med (Lond) 2025; 14:50. [PMID: 40307928 PMCID: PMC12042523 DOI: 10.1186/s13741-025-00532-w] [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: 01/04/2025] [Accepted: 04/19/2025] [Indexed: 05/02/2025] Open
Abstract
Perioperative management in diabetic patients is important since their postoperative mortality and morbidity are higher than that of non-diabetic patients, which will exacerbate the burden on public health. We selected relevant publications from the WoSCC-SCIE between 2007 and 2024, utilizing VOSviewer and CiteSpace to analyze the collected information and generate knowledge maps. A total of 3167 articles from 792 journals and 83 countries/regions were included for analysis. Overall, there has been a continuous increase in publication volume. From the result of academic collaboration between different countries/regions and institutions, the USA occupies a central position in research strength. A total of 18,101 authors participated in research on "perioperative management in diabetic patients" with Dr. Guillermo E. Umpierrez from Emory University School of Medicine being the most productive author. We conclude that perioperative adverse clinical outcomes in diabetic patients and perioperative blood glucose management have consistently been research hotspots in this field. Additionally, continuous glucose monitoring and insulin administration under computer guidance, as well as the use of merging medications are likely to be frontier directions for future research. Research on perioperative care for diabetic patients has been further deepened worldwide, which will be crucial in further improving perioperative care for diabetic patients and enhancing postoperative recovery.
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Affiliation(s)
- Jiangru Kang
- Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, Shaanxi, 710032, China
| | - Xin Chai
- Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, Shaanxi, 710032, China
| | - Tao Jia
- Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, Shaanxi, 710032, China
| | - Huiru Hu
- Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, Shaanxi, 710032, China
| | - Rong Fu
- Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, Shaanxi, 710032, China
| | - Huang Nie
- Department of Anesthesiology and Perioperative Medicine, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, Shaanxi, 710032, China.
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Li X, Meng J, Dai X, Liu P, Wu Y, Wang S, Yin H, Gao S. Comparison of all-cause mortality with different blood glucose control strategies in patients with diabetes in the ICU: a network meta-analysis of randomized controlled trials. Ann Intensive Care 2025; 15:51. [PMID: 40205034 PMCID: PMC11982002 DOI: 10.1186/s13613-025-01471-x] [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: 12/23/2024] [Accepted: 04/01/2025] [Indexed: 04/11/2025] Open
Abstract
BACKGROUND The optimal glucose control strategy for intensive care unit (ICU) patients with diabetes remains a topic of debate. This study aimed to compare the effects of strict glucose control, intermediate strict glucose control, liberal glucose control, and very liberal glucose control on reducing all-cause mortality in ICU patients with diabetes through a network meta-analysis. METHODS We conducted a search in PubMed, Cochrane Library, Embase, and Web of Science for randomized controlled trials comparing different glucose control strategies in ICU patients with diabetes up to October 1, 2024. The primary outcome was all-cause 90-day mortality. The Risk of Bias 2 tool was used to assess bias in the included studies. Data analysis was performed using Stata (version 17). RESULTS A total of 12 randomized controlled trials involving 5,297 participants were included in the final analysis. The results showed that there was no statistically significant difference between the four glucose control strategies in reducing all-cause 90-day mortality. The surface under the cumulative ranking (SUCRA), which was used to rank the strategies and display the probability of each strategy being ranked first, showed the following: intermediate strict control (SUCRA 88%), liberal control (SUCRA 55.3%), very liberal control (SUCRA 40.3%), and strict control (SUCRA 16.5%). The cumulative probability of each strategy's rank in reducing all-cause mortality, from best to worst, showed that the most likely ranking was intermediate strict control, liberal control, very liberal control, and strict control. CONCLUSIONS In ICU patients with diabetes, no significant statistical difference was observed among the four glucose control strategies in reducing all-cause 90-day mortality. The SUCRA rankings are hypothesis-generating and require further validation. Therefore, the current evidence is insufficient to definitively conclude that any one strategy is superior to the others in reducing mortality.
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Affiliation(s)
- Xi Li
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Jiahao Meng
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
- Key Laboratory of Aging-related Bone and Joint Diseases Prevention and Treatment, Xiangya Hospital, Ministry of Education, Central South University, Changsha, China
| | - Xingui Dai
- Department of Critical Care Medicine, Affiliated Chenzhou Hospital (The first People's Hospital of Chenzhou), University of South China, Chenzhou, China
| | - Pan Liu
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Yumei Wu
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Shuhao Wang
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Heng Yin
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
| | - Shuguang Gao
- Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
- Key Laboratory of Aging-related Bone and Joint Diseases Prevention and Treatment, Xiangya Hospital, Ministry of Education, Central South University, Changsha, China.
- National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
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Kanaris C. Fifteen-minute consultation: A guide to paediatric post-resuscitation care following return of spontaneous circulation. Arch Dis Child Educ Pract Ed 2025; 110:50-58. [PMID: 39122265 DOI: 10.1136/archdischild-2023-325922] [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: 11/30/2023] [Accepted: 07/24/2024] [Indexed: 08/12/2024]
Abstract
Paediatric resuscitation is a key skill for anyone in medicine who is involved in the care of children. Basic and advance paediatric life support courses are crucial in teaching those skills nationwide in a way that is memorable, protocolised and standardised. These courses are vital in the dissemination and upkeep of both theoretical and practical knowledge of paediatric resuscitation, with their primary aim being the return of spontaneous circulation. While sustaining life is important, preserving a life with quality, one with good functional and neurological outcomes should be the gold standard of any resuscitative attempt. Good neurological outcomes are dependent, in large part, on how well the postresuscitation stage is managed. This stage does not start in the intensive care unit, it starts at the point at which spontaneous circulation has been reinstated. The aim of this paper is to provide a basic overview of the main strategies that should be followed in order to minimise secondary brain injury after successful resuscitation attempts.
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Affiliation(s)
- Constantinos Kanaris
- Paediatric Intensive Care, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Blizard Institute, Queen Mary University of London, London, UK
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Vakharia M. Noninsulin Diabetes Medications in Hospitalized Children and Adolescents. Crit Care Nurs Clin North Am 2025; 37:19-33. [PMID: 39890348 DOI: 10.1016/j.cnc.2024.08.006] [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] [Indexed: 02/03/2025]
Abstract
The prevalence of pediatric diabetes continues to rise in the United States and worldwide. There are various forms of pediatric diabetes including type 1, type 2, and maturity onset diabetes of youth. The treatment depends on each unique type of diabetes and must be taken into consideration for patients based on presentation and clinical setting. There is limited literature supporting the use of noninsulin medications to manage pediatric diabetes in an inpatient setting. This article focuses on noninsulin medication management of children and adolescents presenting with hyperglycemia in acute care settings, both critically and noncritically ill.
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Affiliation(s)
- Mili Vakharia
- Division of Pediatric Diabetes and Endocrinology, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, 1020 MS: BCM320, 6621 Fannin Street, Houston, TX, USA.
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Ma J, Wang X, Zhang Y, Ge C. Effect of liberal glucose control on critically ill patients: a systematic review and meta-analysis. BMC Endocr Disord 2025; 25:36. [PMID: 39934786 PMCID: PMC11817051 DOI: 10.1186/s12902-025-01864-w] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 02/04/2025] [Indexed: 02/13/2025] Open
Abstract
BACKGROUND Most current guideline statements support some level of unrestricted glycemic management in critically ill adult patients. Nevertheless, the effectiveness of liberal glucose control is currently not well-supported by evidence. Therefore, our objective is to investigate the influence of liberal glucose control (> 180 mg/dl) on critically ill patients in the intensive care unit (ICU). METHODS Until November 23, 2023, English language literature was thoroughly and systematically searched through multiple databases, including PubMed, Embase, Cochrane Library, and Web of Science. Our primary endpoints of interest were the occurrence of hypoglycemia, mortality in the ICU, and mortality during hospitalization. In addition, our secondary outcomes comprised of 90-day mortality, bloodstream infections, the proportion of patients necessitating renal replacement therapy (RRT), the length of time under mechanical ventilation, duration of stay in the ICU, and length of the overall hospitalization. Weighted mean difference (WMD) and relative risk (RR) were respectively computed as overall effect size for continuous and dichotomous data and reported with their 95% confidence intervals (95% CI). RESULTS A total of 9 studies were incorporated, which included 14,878 patients in the ICU. Compared with other blood glucose target control groups, liberal glucose control significantly reduced the incidence of hypoglycemia (RR = 0.41; 95% CI:0.25 to 0.69; P = 0.001), but increased ICU mortality (RR = 1.23; 95% CI:1.03 to 1.48; P = 0.023), in-hospital mortality risk (RR = 1.18; 95% CI:1.03 to 1.35; P = 0.020), and the risk of requiring RRT (RR = 1.26; 95% CI:1.11 to1.42; P < 0.001). CONCLUSION Liberal glucose control can reduce the risk of hypoglycemia but increases the risks of ICU mortality, in-hospital mortality, and the requirement for RRT. To confirm the outcomes further, large-scale, high-quality clinical trials are necessary.
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Affiliation(s)
- Jiahui Ma
- Second District of Critical Care Medicine, Hai 'an People's Hospital, Nantong City, Jiangsu Province, 226600, China
| | - Xu Wang
- Department of Nursing, Hai 'an People's Hospital, Nantong, Jiangsu, 226600, China
| | - Yan Zhang
- Second District of Critical Care Medicine, Hai 'an People's Hospital, Nantong City, Jiangsu Province, 226600, China
| | - Chunyan Ge
- Department of Nursing, Hai 'an People's Hospital, Nantong, Jiangsu, 226600, China.
- Haian People's Hospital, 17 Zhongba Middle Road, Haian City, Nantong City, Jiangsu Province, 226600, China.
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Xie L, Chen J, Li Y, Huang B, Luo S. The prognostic impact of stress hyperglycemia ratio on mortality in cardiogenic shock: a MIMIC-IV database analysis. Diabetol Metab Syndr 2024; 16:312. [PMID: 39719644 DOI: 10.1186/s13098-024-01562-y] [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: 09/10/2024] [Accepted: 12/17/2024] [Indexed: 12/26/2024] Open
Abstract
BACKGROUND The stress hyperglycemia ratio (SHR) has been established as a predictor of unfavorable outcomes across various diseases. However, its relationship with prognosis in patients with cardiogenic shock (CS) remains unclear. This study aims to investigate the association between SHR and outcomes in CS patients. METHODS A total of 904 CS patients with their first ICU admission were included in this study, utilizing data from the American Medical Information Mart for Intensive Care (MIMIC-IV) database. The primary endpoints were all-cause mortality at 30 days and 360 days. Patients were stratified into three groups based on the tertiles of the SHR. RESULTS The mean age of the cohort was 67.62 years, with 67.3% of participants being men. During the follow-up period, 221 patients (24.4%) died within 30 days, and 360 patients (39.8%) died within 360 days. The 30-day all-cause mortality rates were 16.9%, 22.3%, and 34.2% in the T1, T2, and T3 groups, respectively (p < 0.001), while the 360-day all-cause mortality rates were 34.9%, 39.0%, and 45.6%, respectively (p = 0.015). Compared with patients in T1, those in T3 exhibited a significantly higher risk of 30-day all-cause mortality (HR = 2.140, 95% CI: 1.522-3.008, p < 0.001) and 360-day all-cause mortality (HR = 1.495, 95% CI: 1.157-1.931, p = 0.002). Restricted cubic spline (RCS) analyses demonstrated an approximately linear relationship between SHR and 360-day all-cause mortality (p for overall = 0.011; p for nonlinearity = 0.099). However, a nonlinear association was observed between SHR and 30-day all-cause mortality (p for overall < 0.001; p for nonlinearity = 0.030), with the risk increasing significantly when SHR exceeded 1.176. Subgroup analyses revealed that the effect of SHR was consistent across most subgroups except in patients with and without acute myocardial infarction (AMI). In patients with AMI, SHR was associated with a significantly elevated risk of mortality, whereas no significant association was observed in patients without AMI. For 30-day all-cause mortality, the HR was 1.059 (95% CI: 1.040-1.078) in patients with AMI and 1.002 (95% CI: 0.966-1.040) in those without AMI (p for interaction = 0.007). For 360-day all-cause mortality, the HR was 1.043 (95% CI: 1.026-1.061) in patients with AMI and 0.984 (95% CI: 0.955-1.014) in those without AMI (p for interaction < 0.001). CONCLUSION Elevated SHR was significantly associated with increased 30-day and 360-day all-cause mortality in patients with CS, particularly in those with CS complicated by AMI. SHR may serve as a valuable marker for risk stratification and guiding subsequent interventions in CS patients. However, further prospective studies are needed to confirm these findings.
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Affiliation(s)
- Linfeng Xie
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Jing Chen
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Yuanzhu Li
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China
| | - Bi Huang
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
| | - Suxin Luo
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
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Gasnier M, Lecoq AL, Pham T, Morin L, Radiguer F, Gosset-Grainville E, Quinque M, Alaoui WN, Deflesselle E, Choucha W, Figueiredo S, Zaidan M, Savale L, Montani D, Monnet X, Becquemont L, Corruble E, Colle R. Unlike other medical conditions, type 2 diabetes is a risk factor for new-onset major depression after COVID-19. J Psychosom Res 2024; 187:111963. [PMID: 39454249 DOI: 10.1016/j.jpsychores.2024.111963] [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: 03/21/2024] [Revised: 10/17/2024] [Accepted: 10/19/2024] [Indexed: 10/28/2024]
Abstract
OBJECTIVE It is unclear whether pre-COVID medical conditions are risk factors for post-COVID major depressive episode (MDE). We aimed to determine which pre-COVID medical conditions are risk factors for post-COVID MDE after a hospitalization for COVID-19. METHODS We conducted a nested retrospective case-cohort study within a cohort of 650 patients evaluated six months after hospitalization for COVID-19 at Bicêtre hospital, France. Nine medical conditions present before COVID-19 (High blood pressure, obesity, type 2 diabetes, cardiac, respiratory and renal disease, immune deficiency, neoplasia and liver disease) were extracted from medical records. MDE was assessed using the Structured Clinical Interview for DSM-5 Disorders-Clinician Version (SCID-5-CV). Bivariate and multivariable analyses were performed to determine which pre-COVID medical conditions are independent risk factors for post-COVID new-onset MDE. RESULTS Patients mean age was 62.8 (15.8), 258 (39.7 %) were women; 301 (46.3 %) had high blood pressure, 205 (32.4 %) had obesity, and 186 (28.6 %) had type 2 diabetes. Thirty-six (5.5 %) patients were diagnosed with a new-onset MDE. In contrast to other medical conditions, type 2 diabetes was significantly associated with new-onset MDE (OR = 2.51 [1.19-5.29]). CONCLUSION Unlike other pre-COVID medical conditions, type 2 diabetes is a risk factor for post-COVID MDE. Patients with type 2 diabetes should be screened for MDE after a hospitalization for COVID-19.
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Affiliation(s)
- Matthieu Gasnier
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre F-94275, France; MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre F-94275, France
| | - Anne-Lise Lecoq
- Université Paris-Saclay, AP-HP, Centre de Recherche Clinique, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital de Bicêtre, Le Kremlin Bicêtre F-94275, France
| | - Tài Pham
- Université Paris-Saclay, AP-HP, Service de médecine intensive-réanimation, hôpital de Bicêtre, Inserm UMR_S999, FHU SEPSIS, Le Kremlin-Bicêtre F-94275, France
| | - Luc Morin
- Université Paris-Saclay, AP-HP, Service de réanimation pédiatrique et médecine néonatale, Hôpital de Bicêtre, Le Kremlin-Bicêtre F-94275, France
| | - François Radiguer
- Université Paris-Saclay, AP-HP, Service de réanimation chirurgicale, Hôpital de Bicêtre, DMU 12 Anesthésie, réanimation, douleur, Le Kremlin-Bicêtre, France
| | - Eugénie Gosset-Grainville
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre F-94275, France
| | - Marie Quinque
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre F-94275, France
| | - Wassim Najib Alaoui
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre F-94275, France
| | - Eric Deflesselle
- MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre F-94275, France
| | - Walid Choucha
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre F-94275, France; MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre F-94275, France
| | - Samy Figueiredo
- Université Paris-Saclay, AP-HP, Service de réanimation chirurgicale, Hôpital de Bicêtre, DMU 12 Anesthésie, réanimation, douleur, Le Kremlin-Bicêtre, France
| | - Mohamad Zaidan
- Université Paris-Saclay, AP-HP, Service de néphrologie transplantation, Hôpital de Bicêtre, Maladies du cœur et des vaisseaux, Le Kremlin-Bicêtre, France
| | - Laurent Savale
- Université Paris-Saclay, AP-HP, Service de pneumologie et soins intensifs respiratoires, Hôpital de Bicêtre, Inserm UMR_S999, Le Kremlin-Bicêtre F-94275, France
| | - David Montani
- Université Paris-Saclay, AP-HP, Service de pneumologie et soins intensifs respiratoires, Hôpital de Bicêtre, Inserm UMR_S999, Le Kremlin-Bicêtre F-94275, France
| | - Xavier Monnet
- Université Paris-Saclay, AP-HP, Service de médecine intensive-réanimation, hôpital de Bicêtre, Inserm UMR_S999, FHU SEPSIS, Le Kremlin-Bicêtre F-94275, France
| | - Laurent Becquemont
- MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre F-94275, France; Université Paris-Saclay, AP-HP, Centre de Recherche Clinique, Hôpitaux Universitaires Paris-Saclay, Assistance Publique-Hôpitaux de Paris, Hôpital de Bicêtre, Le Kremlin Bicêtre F-94275, France
| | - Emmanuelle Corruble
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre F-94275, France; MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre F-94275, France.
| | - Romain Colle
- Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre F-94275, France; MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre F-94275, France
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10
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Aggarwal AK, Bajpai RG. A Six-Month Prospective Audit of Hypoglycemia in Non-Critically Ill Inpatients at a Tertiary Care Hospital in North India: Prevalence, Presentation, and Prevention. Cureus 2024; 16:e74629. [PMID: 39735099 PMCID: PMC11680953 DOI: 10.7759/cureus.74629] [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: 04/25/2024] [Accepted: 11/27/2024] [Indexed: 12/31/2024] Open
Abstract
OBJECTIVE This research aimed to assess the prevalence, presentation, and risk factors associated with hypoglycemia in non-critically ill vs. critically ill inpatients at a tertiary care hospital in North India, focusing on identifying differences in clinical parameters and outcomes between these two patient populations over six months. METHODOLOGY This six-month prospective study, conducted at a tertiary care hospital in North India, evaluated the frequency, presentation, and prevention of hypoglycemia in 200 hospitalized patients, evenly divided between non-critically ill and critically ill groups. Data collection involved recording baseline parameters and daily blood glucose levels and documenting hypoglycemic episodes and their severity. Preventive strategies, including glucose monitoring, medication adjustments, and dietary interventions, were also tracked. The study used chi-square and t test analysis to determine the prevalence of hypoglycemia, recurrent episodes, and the effectiveness of preventive measures, focusing on differences between the two patient groups and the impact of management strategies. RESULTS The study found that critically ill patients were older (65 ± 15 years) than non-critically ill patients (60 ± 12 years, p = 0.036) with a similar proportion of females in both groups (50% vs. 45%, p = 0.527). Hypoglycemia was more common in critically ill patients (45% vs. 25%, p = 0.005), as were cardiovascular disease (50% vs. 30%, p = 0.004) and chronic kidney disease (35% vs. 20%, p = 0.023). Nutrition consultations were more frequent in non-critically ill patients (30% vs. 15%, p = 0.025), while medication adjustments were more common in critically ill patients (40% vs. 20%, p = 0.004). Non-recurrent hypoglycemia was higher in non-critically ill patients (68% vs. 44.4%, p = 0.038), whereas recurrence was higher in critically ill patients (55.6% vs. 32%, p = 0.038). CONCLUSION The study highlights the significance of addressing hypoglycemia in non-critically ill inpatients, a group that is often overlooked compared to critically ill patients. Although non-critically ill patients had fewer comorbidities and a lower incidence of previous hypoglycemia, the occurrence of hypoglycemia in this group remains a concern. The findings indicate that, even in non-critically ill patients, careful management of factors such as insulin therapy and underlying conditions like type 2 diabetes is essential to prevent hypoglycemic episodes. These results emphasize the need for targeted interventions in non-critical care settings to mitigate the risk of hypoglycemia and enhance patient safety and outcomes.
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Affiliation(s)
| | - Rashmi Gupta Bajpai
- Medicine, SGT Medical College, Hospital and Research Institute, Gurugram, IND
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11
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Ma C, Jiang W, Li J, Sun W, Zhang J, Xu P, Guo Y, Ning N, Li J, Zhao B, Mao E, Gao C. Association of Stress Hyperglycemia Ratio and in-Hospital Mortality in Patients with Sepsis: A Two Center Retrospective Cohort Study. J Inflamm Res 2024; 17:7939-7950. [PMID: 39494208 PMCID: PMC11531714 DOI: 10.2147/jir.s476898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Accepted: 10/18/2024] [Indexed: 11/05/2024] Open
Abstract
INTRODUCTION In critically ill patients, the stress hyperglycemia ratio (SHR) was significantly associated with mortality. However, the relationship between SHR and mortality in septic patients is still unclear.In this study, patients with sepsis from two Chinese academic centers were identified and divided into quartiles based on SHR levels. METHODS Multivariable regression analysis will be used to determine associations between SHR and clinical outcomes in sepsis patients.The Kaplan-Meier curve was used to predict mortality in various groups of septic patients. RESULTS A total of 1835 septic patients were included in the study.The in-hospital, 30-day, and 60-day mortality rates for all septic patients were 22.8%, 18.7%, and 21.7%, respectively. Increased SHR was significantly associated with hospital mortality in multivariate regression analysis.These results were further confirmed in the adjusted analysis, where the hospital mortality and the 60-day mortality of the highest SHR quartile were significantly increased compared to the lowest SHR quartile. However, the highest SHR quartile was not associated with 30-day mortality.In addition, the risk of in-hospital mortality, 30-day mortality and 60-day mortality showed a consistent upward trend with increasing SHR quartile. The survival curve showed that the worst prognosis was in the fourth SHR quartile. DISCUSSION In conclusion, SHR was significantly associated with hospital mortality in patients with sepsis. This finding indicates that the SHR may be useful in identifying septic patients at higher risk of hospital mortality.
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Affiliation(s)
- Chaoping Ma
- Departments of Emergency, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, People’s Republic of China
| | - Weisong Jiang
- Departments of Emergency, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, People’s Republic of China
| | - Juan Li
- Departments of Emergency, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, People’s Republic of China
| | - Wenwu Sun
- Departments of Emergency, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, People’s Republic of China
| | - Jiyuan Zhang
- Departments of Emergency, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, People’s Republic of China
| | - Peixian Xu
- Departments of Emergency, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, People’s Republic of China
| | - Yiran Guo
- Departments of Emergency, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, People’s Republic of China
| | - Ning Ning
- Departments of Emergency, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, People’s Republic of China
| | - Jiaoyan Li
- Departments of Emergency, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, People’s Republic of China
| | - Bing Zhao
- Departments of Emergency, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, People’s Republic of China
| | - Enqiang Mao
- Departments of Emergency, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, People’s Republic of China
| | - Chengjin Gao
- Departments of Emergency, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, People’s Republic of China
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12
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Adigbli D, Li Y, Hammond N, Chatoor R, Devaux AG, Li Q, Billot L, Annane D, Arabi Y, Bilotta F, Bohé J, Brunkhorst FM, Cavalcanti AB, Cook D, Engel C, Green-LaRoche D, He W, Henderson W, Hoedemaekers C, Iapichino G, Kalfon P, de La Rosa G, Lahooti A, Mackenzie I, Mahendran S, Mélot C, Mitchell I, Oksanen T, Polli F, Preiser JC, Garcia Soriano F, Vlok R, Wang L, Xu Y, Delaney AP, Di Tanna GL, Finfer S. A Patient-Level Meta-Analysis of Intensive Glucose Control in Critically Ill Adults. NEJM EVIDENCE 2024; 3:EVIDoa2400082. [PMID: 38864749 DOI: 10.1056/evidoa2400082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Abstract
BACKGROUND Whether intensive glucose control reduces mortality in critically ill patients remains uncertain. Patient-level meta-analyses can provide more precise estimates of treatment effects than are currently available. METHODS We pooled individual patient data from randomized trials investigating intensive glucose control in critically ill adults. The primary outcome was in-hospital mortality. Secondary outcomes included survival to 90 days and time to live cessation of treatment with vasopressors or inotropes, mechanical ventilation, and newly commenced renal replacement. Severe hypoglycemia was a safety outcome. RESULTS Of 38 eligible trials (n=29,537 participants), 20 (n=14,171 participants) provided individual patient data including in-hospital mortality status for 7059 and 7049 participants allocated to intensive and conventional glucose control, respectively. Of these 1930 (27.3%) and 1891 (26.8%) individuals assigned to intensive and conventional control, respectively, died (risk ratio, 1.02; 95% confidence interval [CI], 0.96 to 1.07; P=0.52; moderate certainty). There was no apparent heterogeneity of treatment effect on in-hospital mortality in any examined subgroups. Intensive glucose control increased the risk of severe hypoglycemia (risk ratio, 3.38; 95% CI, 2.99 to 3.83; P<0.0001). CONCLUSIONS Intensive glucose control was not associated with reduced mortality risk but increased the risk of severe hypoglycemia. We did not identify a subgroup of patients in whom intensive glucose control was beneficial. (Funded by the Australian National Health and Medical Research Council and others; PROSPERO number CRD42021278869.).
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Affiliation(s)
- Derick Adigbli
- Critical Care Division, The George Institute for Global Health, Sydney
- Department of Critical Care, Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
- Medical School, Faculty of Medical Sciences, University College London, London
- Department of Intensive Care, Austin Health, Melbourne, VIC, Australia
| | - Yang Li
- Critical Care Division, The George Institute for Global Health, Sydney
| | - Naomi Hammond
- Critical Care Division, The George Institute for Global Health, Sydney
- Royal North Shore Hospital, Malcolm Fisher Department of Intensive Care, St Leonards, NSW, Australia
| | - Richard Chatoor
- Royal North Shore Hospital, Malcolm Fisher Department of Intensive Care, St Leonards, NSW, Australia
| | - Anthony G Devaux
- The George Institute for Global Health, Biostatistics and Data Science Division, Barangaroo, NSW, Australia
| | - Qiang Li
- The George Institute for Global Health, Biostatistics and Data Science Division, Barangaroo, NSW, Australia
| | - Laurent Billot
- The George Institute for Global Health, Biostatistics and Data Science Division, Barangaroo, NSW, Australia
| | - Djillali Annane
- Department of Intensive Care, Hôpital Raymond-Poincare, Garches, France
- PROMETHEUS IHU, Université Paris-Saclay, Garches, France
- Laboratory of Infection & Inflammation, School of Medicine Simone Veil Santé, Université Paris-Saclay, Montigny Le Bretonneux, France
- FHU SEPSIS (Saclay and Paris Seine Nord Endeavour to PerSonalize Interventions for Sepsis), Garches, France
| | - Yaseen Arabi
- Intensive Care Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Federico Bilotta
- Department of Anesthesiology and Intensive Care Medicine, University of Rome La Sapienza, Rome
| | - Julien Bohé
- Service d'Anesthésie-Réanimation-Médecine Intensive, Hospices Civils de Lyon, Groupement Hospitalier Sud, Lyon, France
| | - Frank Martin Brunkhorst
- Department of Anaesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany
| | | | - Deborah Cook
- Departments of Medicine, Clinical Epidemiology & Biostatistics (Division of Critical Care), McMaster University, Hamilton, ON, Canada
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Leipzig, Germany
| | | | - Wei He
- Department of Critical Care Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing
| | - William Henderson
- Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Hoedemaekers
- Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Gaetano Iapichino
- Anestesiologia e Rianimazione, Università degli Studi di Milano, Milan
| | | | | | - Afsaneh Lahooti
- Critical Care Division, The George Institute for Global Health, Sydney
- School of Science, Western Sydney University, Campbelltown, NSW, Australia
| | | | - Sajeev Mahendran
- The George Institute for Global Health, Biostatistics and Data Science Division, Barangaroo, NSW, Australia
- Faculty of Medicine and Health, Northern Clinical School, The University of Sydney, St Leonards, NSW, Australia
| | - Christian Mélot
- Faculté de Médecine, Université Libre de Bruxelles, Brussels
| | - Imogen Mitchell
- Office of Research and Education, Canberra Health Services Library, Canberra, ACT, Australia
- School of Medicine and Psychology, Australian National University, Canberra, ACT, Australia
| | - Tuomas Oksanen
- Division of Intensive Care Medicine, Department of Anesthesiology and Intensive Care, HUS Helsinki University Hospital, Helsinki
| | - Federico Polli
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan
| | | | - Francisco Garcia Soriano
- Departamento de Clínica Médica-Emergências Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo
| | - Ruan Vlok
- Critical Care Division, The George Institute for Global Health, Sydney
- CareFlight Australia, Wentworthville, NSW, Australia
| | - Lingcong Wang
- Department ICU, The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yuan Xu
- Department of Critical Care Medicine, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing
| | - Anthony P Delaney
- Critical Care Division, The George Institute for Global Health, Sydney
- The George Institute for Global Health, Biostatistics and Data Science Division, Barangaroo, NSW, Australia
- Faculty of Medicine and Health, Northern Clinical School, The University of Sydney, St Leonards, NSW, Australia
| | - Gian Luca Di Tanna
- Department of Intensive Care, Austin Health, Melbourne, VIC, Australia
- Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, Lugano, Switzerland
- Department of Clinical Care, University of Bern, Bern, Switzerland
| | - Simon Finfer
- Critical Care Division, The George Institute for Global Health, Sydney
- Faculty of Medicine and Health, University of New South Wales, Randwick, NSW, Australia
- School of Public Health, Imperial College London, London
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Granados A, Carrillo Iregui A. Type 1 Diabetes Management in the Hospital Setting. Pediatr Rev 2024; 45:201-209. [PMID: 38556511 DOI: 10.1542/pir.2022-005645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
The incidence of diabetes in children and adolescents has increased during the past decades, with a 1.9% increase per year in type 1 diabetes mellitus (T1DM). Patients with diabetes have a greater risk of hospitalizations compared with those without diabetes. Clear evidence has emerged in the past decade that supports appropriate glycemic control in the hospital setting to improve clinical outcomes and reduce the risk of hospital complications and mortality. Determining the appropriate insulin regimen in patients with T1DM in the hospital depends on the clinical status, type of outpatient insulin regimen (multiple daily injections versus pump therapy), glycemic control before admission, nutritional status, procedures, and enteral versus parenteral nutrition. Due to the complexity of the inpatient management of diabetes, institutions should have an inpatient diabetes management team that includes dietitians, diabetes educators, nurses, pharmacists, social workers, and endocrinologists. The use of inpatient diabetes teams has been demonstrated to be beneficial in the management of patients with T1DM.
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Affiliation(s)
- Andrea Granados
- Division of Pediatric Endocrinology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL
| | - Adriana Carrillo Iregui
- Division of Pediatric Endocrinology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL
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14
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Oh AR, Lee DY, Lee S, Lee JH, Yang K, Choi B, Park J. Association between Preoperative Glucose Dysregulation and Delirium after Non-Cardiac Surgery. J Clin Med 2024; 13:932. [PMID: 38398245 PMCID: PMC10889204 DOI: 10.3390/jcm13040932] [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: 12/15/2023] [Revised: 01/25/2024] [Accepted: 01/31/2024] [Indexed: 02/25/2024] Open
Abstract
This study aimed to investigate the association between glucose dysregulation and delirium after non-cardiac surgery. Among a total of 203,787 patients who underwent non-cardiac surgery between January 2011 and June 2019 at our institution, we selected 61,805 with available preoperative blood glucose levels within 24 h before surgery. Patients experiencing glucose dysregulation were divided into three groups: hyperglycemia, hypoglycemia, and both. We compared the incidence of postoperative delirium within 30 days after surgery between exposed and unexposed patients according to the type of glucose dysregulation. The overall incidence of hyperglycemia, hypoglycemia, and both was 5851 (9.5%), 1452 (2.3%), and 145 (0.2%), respectively. The rate of delirium per 100 person-months of the exposed group was higher than that of the unexposed group in all types of glucose dysregulation. After adjustment, the hazard ratios of glucose dysregulation in the development of delirium were 1.35 (95% CI, 1.18-1.56) in hyperglycemia, 1.36 (95% CI, 1.06-1.75) in hypoglycemia, and 3.14 (95% CI, 1.27-7.77) in both. The subgroup analysis showed that exposure to hypoglycemia or both to hypo- and hyperglycemia was not associated with delirium in diabetic patients, but hyperglycemia was consistently associated with postoperative delirium regardless of the presence of diabetes. Preoperative glucose dysregulation was associated with increased risk of delirium after non-cardiac surgery. Our findings may be helpful for preventing postoperative delirium, and further investigations are required to verify the association and mechanisms for the effect we observed.
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Affiliation(s)
- Ah Ran Oh
- Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
- Department of Anesthesiology and Pain Medicine, Kangwon National University Hospital, Chuncheon 24289, Republic of Korea
| | - Dong Yun Lee
- Department of Biomedical Informatics, Ajou University Graduate School of Medicine, Suwon 16499, Republic of Korea
| | - Seunghwa Lee
- Rehabilitation & Prevention Center, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
- Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Jong-Hwan Lee
- Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
| | - Kwangmo Yang
- Department of Biomedical Informatics, Ajou University Graduate School of Medicine, Suwon 16499, Republic of Korea
- Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
| | - Byungjin Choi
- Department of Biomedical Informatics, Ajou University Graduate School of Medicine, Suwon 16499, Republic of Korea
| | - Jungchan Park
- Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea
- Department of Biomedical Informatics, Ajou University Graduate School of Medicine, Suwon 16499, Republic of Korea
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15
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Gao H, Zhao Y. A prediction model for assessing hypoglycemia risk in critically ill patients with sepsis. Heart Lung 2023; 62:43-49. [PMID: 37302264 DOI: 10.1016/j.hrtlng.2023.05.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 04/28/2023] [Accepted: 05/21/2023] [Indexed: 06/13/2023]
Abstract
BACKGROUND Few studies have reported the risk factors or developed a risk predictive model of hypoglycemia patients with sepsis. OBJECTIVE To develop a predictive model to assess the hypoglycemia risk in critically ill patients with sepsis. METHODS For this retrospective study, we collected the data from the Medical Information Mart for Intensive Care III and IV (MIMIC-III and MIMIC-IV). All eligible patients from the MIMIC-III were randomly divided into the training set for development of predictive model and testing set for internal validation of the predictive model at a ratio of 8:2. Patients from the MIMIC-IV database were used as the external validation set. The primary endpoint was the occurrence of hypoglycemia. Univariate and multivariate logistic model was used to screen predictors. Adopted receiver operating characteristics (ROC) and calibration curves to estimate the performance of the nomogram. RESULTS The median follow-up time was 5.13 (2.61-9.79) days. Diabetes, dyslipidemia, mean arterial pressure, anion gap, hematocrit, albumin, sequential organ failure assessment, vasopressors, mechanical ventilation and insulin were identified as the predictors for hypoglycemia risk in critically ill patients with sepsis. We constructed a nomogram for predicting hypoglycemia risk in critically ill patients with sepsis based on these predictors. An online individualized predictive tool: https://ghongyang.shinyapps.io/DynNomapp/. The established nomogram had a good predictive ability by ROC and calibration curves in the training set, testing set and external validation cohort. CONCLUSION A predictive model of hypoglycemia risk was constructed, with a good ability in predicting the risk of hypoglycemia in critically ill patients with sepsis.
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Affiliation(s)
- Hongyang Gao
- Emergency Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, PR China
| | - Yang Zhao
- NMPA Key Laboratory for Clinical Research and Evaluation of Traditional Chinese Medicine, Beijing, PR China; Institution of Clinical Pharmacology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, PR China.
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16
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Arunachala Murthy T, Chapman M, Jones KL, Horowitz M, Marathe CS. Inter-relationships between gastric emptying and glycaemia: Implications for clinical practice. World J Diabetes 2023; 14:447-459. [PMID: 37273253 PMCID: PMC10236995 DOI: 10.4239/wjd.v14.i5.447] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 12/09/2022] [Accepted: 04/07/2023] [Indexed: 05/15/2023] Open
Abstract
Gastric emptying (GE) exhibits a wide inter-individual variation and is a major determinant of postprandial glycaemia in health and diabetes; the rise in blood glucose following oral carbohydrate is greater when GE is relatively more rapid and more sustained when glucose tolerance is impaired. Conversely, GE is influenced by the acute glycaemic environment acute hyperglycaemia slows, while acute hypoglycaemia accelerates it. Delayed GE (gastroparesis) occurs frequently in diabetes and critical illness. In diabetes, this poses challenges for management, particularly in hospitalised individuals and/or those using insulin. In critical illness it compromises the delivery of nutrition and increases the risk of regurgitation and aspiration with consequent lung dysfunction and ventilator dependence. Substantial advances in knowledge relating to GE, which is now recognised as a major determinant of the magnitude of the rise in blood glucose after a meal in both health and diabetes and, the impact of acute glycaemic environment on the rate of GE have been made and the use of gut-based therapies such as glucagon-like peptide-1 receptor agonists, which may profoundly impact GE, in the management of type 2 diabetes, has become commonplace. This necessitates an increased understanding of the complex inter-relationships of GE with glycaemia, its implications in hospitalised patients and the relevance of dysglycaemia and its management, particularly in critical illness. Current approaches to management of gastroparesis to achieve more personalised diabetes care, relevant to clinical practice, is detailed. Further studies focusing on the interactions of medications affecting GE and the glycaemic environment in hospitalised patients, are required.
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Affiliation(s)
- Tejaswini Arunachala Murthy
- Adelaide Medical School, University of Adelaide, Adelaide 5000, SA, Australia
- Intensive Care Unit, Royal Adelaide Hospital, Adelaide 5000, SA, Australia
| | - Marianne Chapman
- Adelaide Medical School, University of Adelaide, Adelaide 5000, SA, Australia
- Intensive Care Unit, Royal Adelaide Hospital, Adelaide 5000, SA, Australia
- NHMRC Centre of Clinical Research Excellence in Nutritional Physiology, Interventions and Outcomes, University of Adelaide, Adelaide 5000, SA, Australia
| | - Karen L Jones
- Adelaide Medical School, University of Adelaide, Adelaide 5000, SA, Australia
- NHMRC Centre of Clinical Research Excellence in Nutritional Physiology, Interventions and Outcomes, University of Adelaide, Adelaide 5000, SA, Australia
| | - Michael Horowitz
- Adelaide Medical School, University of Adelaide, Adelaide 5000, SA, Australia
- NHMRC Centre of Clinical Research Excellence in Nutritional Physiology, Interventions and Outcomes, University of Adelaide, Adelaide 5000, SA, Australia
- Endocrine and Metabolic Unit, Royal Adelaide Hospital, Adelaide 5000, SA, Australia
| | - Chinmay S Marathe
- Adelaide Medical School, University of Adelaide, Adelaide 5000, SA, Australia
- NHMRC Centre of Clinical Research Excellence in Nutritional Physiology, Interventions and Outcomes, University of Adelaide, Adelaide 5000, SA, Australia
- Endocrine and Metabolic Unit, Royal Adelaide Hospital, Adelaide 5000, SA, Australia
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17
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Lalani B, Gosselin K, Penno R, Puryear B, Rilo H, Lalani A. A Retrospective Cohort Analysis of Two Computerized Insulin Infusion Protocols. J Diabetes Sci Technol 2023; 17:635-641. [PMID: 36946553 PMCID: PMC10210128 DOI: 10.1177/19322968231163584] [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] [Indexed: 03/23/2023]
Abstract
OBJECTIVE The primary objective of this analysis was to compare the safety and efficacy of a novel computerized insulin infusion protocol (CIIP), the Lalani Insulin Infusion Protocol (LIIP), with an established CIIP, Glucommander. METHODS We conducted a 10-month retrospective analysis of 778 patients in whom LIIP was used (August 18, 2020 to June 25, 2021) at six HonorHealth Hospitals in the Phoenix metropolitan area. These data were compared with Glucommander that was used at those same hospitals from January 1, 2018 to August 17, 2020, n = 4700. Primary end points of the project included average time to euglycemia and average time in hyperglycemia (>180 mg/dL) and hypoglycemia (<70 mg/dL). Additional subgroup analysis was done to evaluate CIIP performance in patients in whom maintenance of euglycemia was more challenging. RESULTS The LIIP had a faster time to euglycemia (191 vs 222 minutes, P < .001) and similar time in hypoglycemia (2.79 vs 2.76 minutes, P = .50) for all patients, when compared with Glucommander. Similar observations were made for the following subgroups: diabetic ketoacidosis/hyperosmolar hyperglycemic state (DKA/HHS) patients, COVID-19 patients, patients on steroids, patients with ≥60 glomerular filtration rate (GFR), patients with renal insufficiency, and patients with sepsis. CONCLUSIONS The LIIP is a safe and effective CIIP in managing intravenous insulin infusion rates. Utilization of LIIP resulted in reduced time to euglycemia, P < .001, when compared with Glucommander and did not cause increased hypoglycemia during the project period. Contributing factors to the success of LIIP may include improved clinical workflow, learnability and ease of use, compatibility with the Epic electronic health record (EHR), and its unique, dynamic and adaptive algorithm.
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Affiliation(s)
- Benjamin Lalani
- Johns Hopkins University, Baltimore, MD,
USA
- Pump Avenue Foundation, Scottsdale, AZ,
USA
| | - Kevin Gosselin
- HonorHealth Research Institute, Scottsdale,
AZ, USA
- AriTex, Chandler, AZ, USA
| | - Ruth Penno
- HonorHealth Hospitals, Scottsdale, AZ,
USA
| | | | - Horacio Rilo
- Advanced Biological Technologies, Long
Island, NY, USA
| | - Atul Lalani
- HonorHealth Hospitals, Scottsdale, AZ,
USA
- Endocrine Technologies, Scottsdale, AZ,
USA
- East Valley Endocrinology, Diabetes and
Metabolism, Scottsdale, AZ, USA
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18
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Yu G, Ma H, Lv W, Zhou P, Liu C. Association of the time in targeted blood glucose range of 3.9-10 mmol/L with the mortality of critically ill patients with or without diabetes. Heliyon 2023; 9:e13662. [PMID: 36879975 PMCID: PMC9984777 DOI: 10.1016/j.heliyon.2023.e13662] [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: 05/02/2022] [Revised: 02/01/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Abstract
Purpose The relationship between the TIR and mortality may be influenced by the presence of diabetes and other glycemic indicators. The purpose of this study was to investigate the relationship between TIR and in-hospital mortality in diabetic and non-diabetic patients in ICU. Methods A total of 998 patients with severe diseases in the ICU were selected for this retrospective analysis. The TIR is defined as the percentage of time spent in the target blood glucose range of 3.9-10.0 mmol/L within 24 h. The relationship between TIR and in-hospital mortality in diabetic and non-diabetic patients was analyzed. The effect of glycemic variability was also analyzed. Results The binary logistic regression model showed that there was a significant association between the TIR and the in-hospital death of severely ill non-diabetic patients. Furthermore, TIR≥70% was significantly associated with in-hospital death (OR = 0.581, P = 0.003). The study found that the coefficient of variation (CV) was significantly associated with the mortality of severely ill diabetic patients (OR = 1.042, P = 0.027). Conclusions Both diabetic and non-diabetic critically ill patients should control blood glucose fluctuations and maintain blood glucose levels within the target range, it may be beneficial in reducing mortality.
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Affiliation(s)
- Guo Yu
- School of Nursing, Jinan University, No. 601, West Huangpu Avenue, Tianhe District, Guangzhou City, Guangdong Province, China
| | - Haoming Ma
- School of Nursing, Jinan University, No. 601, West Huangpu Avenue, Tianhe District, Guangzhou City, Guangdong Province, China
| | - Weitao Lv
- Division of Critical Care, The First Affiliated Hospital of Jinan, No. 613, West Huangpu Avenue, Tianhe District, Guangzhou City, Guangdong Province, China
| | - Peiru Zhou
- Health Management Centre, The Fifth Affiliated Hospital of Jinan, South Yingke Avenue, Jiangdong New District, Heyuan City, Guangdong Province, China
| | - Cuiqing Liu
- Division of Critical Care, The First Affiliated Hospital of Jinan, No. 613, West Huangpu Avenue, Tianhe District, Guangzhou City, Guangdong Province, China
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19
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Wang L, Wang M, Du J, Gong ZC. Intensive insulin therapy in sepsis patients: Better data enables better intervention. Heliyon 2023; 9:e14063. [PMID: 36915524 PMCID: PMC10006498 DOI: 10.1016/j.heliyon.2023.e14063] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 02/10/2023] [Accepted: 02/20/2023] [Indexed: 02/26/2023] Open
Abstract
In clinics, sepsis is a critical disease that often develops into shock and multiple organ dysfunction, leading to a serious threat of death. Patients with sepsis are often accompanied by stress hyperglycemia which is an independent risk factor for poor prognosis in sepsis. Thus, the treatment for stress hyperglycemia has attracted more and more attention, among which intensive insulin therapy is widely concerned. However, the benefits and harms of intensive insulin therapy for sepsis patients remain controversial. What the existing literature discusses mostly are the clinical benefit and hypoglycemia risk of intensive insulin therapy, but there is no conclusion on the target range of blood glucose control, the applicable patients, the timing of treatment initiation, and how to avoid the risk. In this study, we have analyzed and summarized the existing literature, hoping to determine the adverse and clinical benefit of intensive insulin therapy in sepsis. And we attempt to assemble better evidence to propose a better recommendation on hyperglycemia intervention for sepsis patients.
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Affiliation(s)
- Ling Wang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Min Wang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China.,Hunan Clinical Research Center for Clinical Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Jie Du
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China.,Hunan Clinical Research Center for Clinical Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Zhi-Cheng Gong
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China.,Hunan Clinical Research Center for Clinical Pharmacy, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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20
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Zhou T, Boettger M, Knopp J, Lange M, Heep A, Chase JG. Model-based subcutaneous insulin for glycemic control of pre-term infants in the neonatal intensive care unit. Comput Biol Med 2023; 160:106808. [PMID: 37163965 DOI: 10.1016/j.compbiomed.2023.106808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 03/02/2023] [Accepted: 03/20/2023] [Indexed: 03/30/2023]
Abstract
Hyperglycaemia is a common problem in neonatal intensive care units (NICUs). Achieving good control can result in better outcomes for patients. However, good control is difficult, where poor control and resulting hypoglycaemia reduces outcomes and confounds results. Clinically validated models can provide good control, and subcutaneous insulin delivery can provide more options for insulin therapy for clinicians. However, this combination has only been significantly utilised in adult outpatient diabetes, but could hold benefit for treating NICU infants. This research combines a well-validated NICU metabolic model with subcutaneous insulin kinetics models to assess the feasibility of a model-based approach. Clinical data from 12 very/extremely pre-mature infants was collected for an average study duration of 10.1 days. Blood glucose, interstitial and plasma insulin, as well as subcutaneous and local insulin were modelled, and patient-specific insulin sensitivity profiles were identified for each patient. Modelling error was low, where the cohort median [IQR] mean percentage error was 0.8 [0.3 3.4] %. For external validation, insulin sensitivity was compared to previous NICU cohorts using the same metabolic model, where overall levels of insulin sensitivity were similar. Overall, the combined system model accurately captured observed glucose and insulin dynamics, showing the potential for a model-based approach to glycaemic control using subcutaneous insulin in this cohort. The results justify further model validation and clinical trial research to explore a model-based protocol.
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21
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MacDonald DB, Mackin MJ. Intraoperative glucose management: when to monitor and who to treat? Can J Anaesth 2023; 70:177-182. [PMID: 36450942 DOI: 10.1007/s12630-022-02358-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 10/06/2022] [Accepted: 10/11/2022] [Indexed: 12/05/2022] Open
Affiliation(s)
- David B MacDonald
- Department of Anesthesia, Pain Management & Perioperative Medicine, Dalhousie University and Nova Scotia Health, 10W Victoria Building, Victoria General Hospital 1276 South Park Street, Halifax, NS, B3H 2Y9, Canada.
| | - Matthew J Mackin
- Department of Anesthesia, Pain Management & Perioperative Medicine, Dalhousie University and Nova Scotia Health, 10W Victoria Building, Victoria General Hospital 1276 South Park Street, Halifax, NS, B3H 2Y9, Canada
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22
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Clodi M, Resl M, Abrahamian H, Föger B, Weitgasser R. [Hyperglycemia in critically ill]. Wien Klin Wochenschr 2023; 135:272-274. [PMID: 37101048 PMCID: PMC10133026 DOI: 10.1007/s00508-023-02173-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2023] [Indexed: 04/28/2023]
Abstract
In critical illness hyperglycemia is associated with increased mortality. Based on the currently available evidence, an intravenous insulin therapy should be initiated when blood glucose is above 180 mg/dl. After initiation of insulin therapy blood glucose should be maintained between 140 and 180 mg/dl.
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Affiliation(s)
- M Clodi
- Abteilung für Innere Medizin, Konventhospital der Barmherzigen Brüder Linz, Linz, Österreich.
- ICMR - Institute for Cardiovascular and Metabolic Research, Johannes Kepler Universität Linz (JKU Linz), Altenberger Straße 69, 4040, Linz, Österreich.
| | - M Resl
- Abteilung für Innere Medizin, Konventhospital der Barmherzigen Brüder Linz, Linz, Österreich
- ICMR - Institute for Cardiovascular and Metabolic Research, Johannes Kepler Universität Linz (JKU Linz), Altenberger Straße 69, 4040, Linz, Österreich
| | - H Abrahamian
- Privates Institut für Medizin&NLP, wissenschaftliches Institut gemäß BundesstatistikG 2008 ÖNACE-CODE: 72.19-0, Wien, Österreich
| | - B Föger
- Abteilung für Innere Medizin, Kreiskrankenhaus Pfarrkirchen, Pfarrkirchen, Deutschland
| | - R Weitgasser
- Kompetenzzentrum Diabetes, Privatklinik Wehrle-Diakonissen, Salzburg, Österreich
- Paracelsus Medizinische Privatuniversität Salzburg, Salzburg, Österreich
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23
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Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, Gardner TW, Garg R, Garvey WT, Hirsch IB, Hurley DL, Izuora K, Kosiborod M, Olson D, Patel SB, Pop-Busui R, Sadhu AR, Samson SL, Stec C, Tamborlane WV, Tuttle KR, Twining C, Vella A, Vellanki P, Weber SL. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract 2022; 28:923-1049. [PMID: 35963508 PMCID: PMC10200071 DOI: 10.1016/j.eprac.2022.08.002] [Citation(s) in RCA: 234] [Impact Index Per Article: 78.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.
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Affiliation(s)
| | | | - S Sethu Reddy
- Central Michigan University, Mount Pleasant, Michigan
| | | | | | | | | | | | - Daniel Einhorn
- Scripps Whittier Diabetes Institute, La Jolla, California
| | | | | | - Rajesh Garg
- Lundquist Institute/Harbor-UCLA Medical Center, Torrance, California
| | | | | | | | | | | | - Darin Olson
- Colorado Mountain Medical, LLC, Avon, Colorado
| | | | | | - Archana R Sadhu
- Houston Methodist; Weill Cornell Medicine; Texas A&M College of Medicine; Houston, Texas
| | | | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | | | - Katherine R Tuttle
- University of Washington and Providence Health Care, Seattle and Spokane, Washington
| | | | | | | | - Sandra L Weber
- University of South Carolina School of Medicine-Greenville, Prisma Health System, Greenville, South Carolina
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24
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Niraula A, Baral N, Lamsal M, Bataju M, Thapa S. Potential role of biochemical markers in the prognosis of COVID-19 patients. SAGE Open Med 2022; 10:20503121221108613. [PMID: 35832258 PMCID: PMC9272200 DOI: 10.1177/20503121221108613] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 06/01/2022] [Indexed: 01/08/2023] Open
Abstract
The global pandemic due to coronavirus disease 2019 (COVID-19) has posed an overall threat to modern medicine. The course of the disease is uncertain with varying forms of presentation that cannot be managed solely with clinical skills and vigor. Since its inception, laboratory medicine forms a backbone for the proper diagnosis, treatment, monitoring, and prediction of the severity of the disease. Clinical biochemistry, an integral component of laboratory medicine, has been an unsung hero in the disease prognosis and severity assessment in COVID-19. This review attempts to highlight the biomarkers which have shown a significant role and can be used in the identification, stratification, and prediction of disease severity in COVID-19 patients. It also highlights the basis of the use of these biomarkers in the disease course and their implications.
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Affiliation(s)
- Apeksha Niraula
- Department of Clinical Biochemistry, Institute of Medicine, Tribhuvan University Teaching Hospital, Maharajgunj, Nepal
| | - Nirmal Baral
- Department of Biochemistry, B.P. Koirala Institute of Health Sciences, Dharan, Nepal
| | - Madhab Lamsal
- Department of Biochemistry, B.P. Koirala Institute of Health Sciences, Dharan, Nepal
| | - Mahima Bataju
- Department of Biochemistry, KIST Medical College and Teaching Hospital, Lalitpur, Nepal
| | - Saroj Thapa
- Department of Biochemistry, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
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25
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Vedantam D, Poman DS, Motwani L, Asif N, Patel A, Anne KK. Stress-Induced Hyperglycemia: Consequences and Management. Cureus 2022; 14:e26714. [PMID: 35959169 PMCID: PMC9360912 DOI: 10.7759/cureus.26714] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/10/2022] [Indexed: 01/08/2023] Open
Abstract
Hyperglycemia during stress is a common occurrence seen in patients admitted to the hospital. It is defined as a blood glucose level above 180mg/dl in patients without pre-existing diabetes. Stress-induced hyperglycemia (SIH) occurs due to an illness that leads to insulin resistance and decreased insulin secretion. Such a mechanism causes elevated blood glucose and produces a complex state to manage with external insulin. This article compiles various studies to explain the development and consequences of SIH in the critically ill that ultimately lead to an increase in mortality while also discussing the dire impact of SIH on certain acute illnesses like myocardial infarction and ischemic stroke. It also evaluates multiple studies to understand the management of SIH with insulin and proper nutritional therapy in the hospitalized patients admitted to the Intensive care unit (ICU) alongside the non-critical care unit. While emphasizing the diverse effects of improper control of SIH in the hospital, this article elucidates and discusses the importance of formulating a discharge plan due to an increased risk of type 2 diabetes in the recovered.
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Affiliation(s)
- Deepanjali Vedantam
- Internal Medicine, Kamineni Academy of Medical Sciences and Research Centre, Hyderabad, IND
| | | | - Lakshya Motwani
- Research and Development, Smt. NHL (Nathiba Hargovandas Lakhmichand) Municipal Medical College, Ahmedabad, IND
| | - Nailah Asif
- Research, RAK (Ras Al Khaimah) College of Medical Sciences, Ras Al Khaimah, ARE
| | - Apurva Patel
- Research, GMERS (Gujarat Medical Education & Research Society) Gotri Medical College, Vadodara, IND
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26
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Pichardo-Lowden AR. Clinical Decision Support for Diabetes Care in the Hospital: A Time for Change Toward Improvement of Management and Outcomes. J Diabetes Sci Technol 2022; 16:771-774. [PMID: 33412952 PMCID: PMC9294585 DOI: 10.1177/1932296820982661] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The increasing prevalence of diabetes permeates hospitals and dysglycemia is associated with poor clinical and economic outcomes. Despite endorsed guidelines, barriers to optimal management and gaps in care prevail. Providers' limitations on knowledge, attitudes, and decision-making about hospital diabetes management are common. This adds to the complexity of dispersed glucose and insulin dosing data within medical records. This creates a dichotomy as safe and effective care are key objectives of healthcare organizations. This perspective highlights evidence of the benefits of clinical decision support (CDS) in hospital glycemic management. It elaborates on barriers CDS can help resolve, and factors driving its success. CDS represents a resource to individualize care and improve outcomes. It can help overcome a multifactorial problem impacting patients' lives on a daily basis.
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Affiliation(s)
- Ariana R. Pichardo-Lowden
- Department of Medicine, Division
of Endocrinology, Diabetes and Metabolism, Milton S. Hershey Medical Center.
Penn State Health, Penn State College of Medicine, Hershey, PA, USA
- Ariana R Pichardo-Lowden, MD, MEd,
MSc, Associate Professor of Medicine, Department of Medicine, Division
of Endocrinology, Diabetes and Metabolism, Milton S. Hershey Medical
Center, Penn State Health, Penn State College of Medicine, 500
University Drive, Hershey, PA 17033 USA.
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27
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Li X, Hou X, Zhang H, Qian X, Feng X, Shi N, Sun H, Feng W, Zhao W, Li G, Zheng Z, Chen Y. Effect of early hypoglycaemia on hospitalization outcomes in patients undergoing coronary artery bypass grafting. Diabetes Res Clin Pract 2022; 186:109830. [PMID: 35306045 DOI: 10.1016/j.diabres.2022.109830] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/23/2022] [Accepted: 03/12/2022] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To investigate the effect of early postoperative hypoglycaemia on hospitalization outcomes including major cardiovascular complications and in-hospital mortality among patients undergoing coronary artery bypass grafting (CABG). METHODS Data from an observational study of 9583 patients in the intensive care unit (ICU) who underwent CABG were analyzed. Hypoglycaemia was defined as a nadir blood glucose level <70 mg/dL (3.9 mmol/L). One-to-one propensity score matching (PSM) was used to identify 251-balanced pairs of patients to compare outcomes. RESULTS A total of 306 (3.2%) patients experienced hypoglycaemia, of whom, 133 had diabetes, 173 hadn't diabetes. Patients who were hypoglycaemia had higher incidences of compositeoutcomes than those without hypoglycaemia (12.1% versus 6.0%, P < 0.0001). Postoperative length of ICU stay was longer in patients with hypoglycaemia [2.8 (0.8-21.0) versus 2.0 (0.25-36.0) days, P < 0.0001]. After PSM, the compositeoutcomes and length of ICU stay remained significantly increased for the patients with hypoglycaemia [compositeoutcomes: odd ratio (OR) 2.78, 95% CI, 1.30-5.88, P = 0.01; length of ICU stay: OR 1.60, 95% CI, 1.14-2.26, P = 0.007]. CONCLUSION Postoperative hypoglycaemia was an independent associated factor of adverse composite outcomes and a lengthened ICU stay after CABG. Hypoglycaemia should be avoided for both postoperative patients with and without diabetes.
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Affiliation(s)
- Xiaojue Li
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaopei Hou
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Heng Zhang
- Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Qian
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinxing Feng
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na Shi
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hansong Sun
- Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Feng
- Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Zhao
- Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangwei Li
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhe Zheng
- Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Yanyan Chen
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Department of Endocrinology, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, Guangdong, China.
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Preservation of Renal Function. Perioper Med (Lond) 2022. [DOI: 10.1016/b978-0-323-56724-4.00017-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Jinjing W, Kang C, Xufei L, Xueqiong L, Xinye J, Miao Y, Jinping Z, Zhaohui L, Jingtao D, Yaolong C, Linong J, Yiming M. Chinese clinical practice guidelines for perioperative blood glucose management. Diabetes Metab Res Rev 2021; 37:e3439. [PMID: 33605539 DOI: 10.1002/dmrr.3439] [Citation(s) in RCA: 8] [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: 08/09/2018] [Revised: 01/04/2021] [Accepted: 01/11/2021] [Indexed: 12/20/2022]
Abstract
With the increased incidence of diabetes, the number of diabetic patients who require surgical treatment is also increasing. Unfortunately, practices in this area lack standardisation. The purpose of this multidisciplinary, evidence-based guidelines for perioperative blood glucose management is to provide a comprehensive set of recommendations for clinicians treating diabetes with different types of surgery. The intended audience comprises Chinese endocrinologists, surgeons, anaesthetists, clinical pharmacists, nurses and professionals involved in perioperative blood glucose management. The guidelines were formulated as follows. First, a multidisciplinary expert group was established to identify and formulate key research questions on topics of priority according to the Population, Intervention, Comparator and Outcomes (PICO) process. We conducted a meta-analysis of available studies using Review Manager version 5.3, as appropriate. We pooled crude estimates as odds ratios with 95% confidence intervals using a random-effects model, and used the Grading of Recommendations Assessment, Development, and Evaluation methods to assess the quality of the retrieved evidence. Finally, 32 recommendations were gathered that covered 11 fields-management and coordination, endocrinologists' consultation, diabetes diagnosis, surgery timing and anaesthesia method, blood glucose target values and monitoring frequency, hypoglycaemia treatment, oral administration of blood glucose lowering drugs, use of insulin, enteral and parenteral nutritional, postoperative treatment and medication and education and training. Twenty-five systematic reviews and meta-analyses were conducted for these guidelines to address the PICO questions. These guidelines are intended to improve perioperative blood glucose management and help doctors in specifying medical diagnosis and treatment, and will be implemented / disseminated extensively in China.
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Affiliation(s)
- Wang Jinjing
- Department of Endocrinology, the First Medical Center, Chinese PLA General Hospital, Beijing, China
- Department of Endocrinology, Fifth Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Chen Kang
- Department of Endocrinology, the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Luo Xufei
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Li Xueqiong
- Department of Dry Therapy, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jin Xinye
- Department of Endocrinology, the First Medical Center, Chinese PLA General Hospital, Beijing, China
- Department of Nephrology, Hainan Hospital of Chinese PLA General Hospital, the Hainan Academician Team Innovation Center, Hainan, China
| | - Yu Miao
- Department of EndocrinologyKey Laboratory of EndocrinologyNational Health Commission, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Zhang Jinping
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Lv Zhaohui
- Department of Endocrinology, the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Dou Jingtao
- Department of Endocrinology, the First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Chen Yaolong
- Institute of Health Data Science, Lanzhou University, Lanzhou, China
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou, China
| | - Ji Linong
- Department of Endocrinology and Metabolism, Peking University people's Hospital, Peking University Diabetes Center, Beijing, China
| | - Mu Yiming
- Department of Endocrinology, the First Medical Center, Chinese PLA General Hospital, Beijing, China
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Merzon E, Green I, Shpigelman M, Vinker S, Raz I, Golan‐Cohen A, Eldor R. Haemoglobin A1c is a predictor of COVID-19 severity in patients with diabetes. Diabetes Metab Res Rev 2021; 37:e3398. [PMID: 32852883 PMCID: PMC7460936 DOI: 10.1002/dmrr.3398] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 06/24/2020] [Accepted: 08/10/2020] [Indexed: 01/08/2023]
Abstract
AIM Poor outcomes of coronavirus disease 2019 (COVID-19) have been linked to diabetes, but its relation to pre-infection glycaemic control is still unclear. MATERIALS AND METHODS To address this question, we report here the association between pre-infection Haemoglobin A1c (HbA1c) levels and COVID-19 severity as assessed by need for hospitalization in a cohort of 2068 patients with diabetes tested for COVID-19 in Leumit Health Services (LHSs), Israel, between 1 February and 30 April 2020. Using the LHS-integrated electronic medical records system, we were able to collect a large amount of clinical information including age, sex, socio-economic status, weight, height, body mass index, HbA1c, prior diagnosis of ischaemic heart disease, depression/anxiety, schizophrenia, dementia, hypertension, cerebrovascular accident, congestive heart failure, smoking, and chronic lung disease. RESULTS Of the patients included in the cohort, 183 (8.85%) were diagnosed with COVID-19 and 46 were admitted to hospital. More hospitalized patients were female, came from higher socio-economic background and had a higher baseline HbA1c. A prior diagnosis of cerebrovascular accident and chronic lung disease conferred an increased risk of hospitalization but not obesity or smoking status. In a multivariate analysis, controlling for multiple prior clinical conditions, the only parameter associated with a significantly increased risk for hospitalization was HbA1c ≥ 9%. CONCLUSION Using pre-infection glycaemic control data, we identify HbA1c as a clear predictor of COVID-19 severity. Pre-infection risk stratification is crucial to successfully manage this disease, efficiently allocate resources, and minimize the economic and social burden associated with an undiscriminating approach.
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Affiliation(s)
- Eugene Merzon
- Medical DivisionLeumit Health ServicesTel‐AvivIsrael
- Department of Family MedicineSackler School of MedicineTel Aviv UniversityTel‐AvivIsrael
| | - Ilan Green
- Medical DivisionLeumit Health ServicesTel‐AvivIsrael
| | | | - Shlomo Vinker
- Medical DivisionLeumit Health ServicesTel‐AvivIsrael
- Department of Family MedicineSackler School of MedicineTel Aviv UniversityTel‐AvivIsrael
| | - Itamar Raz
- The Pesach Segal Israeli Center for Diabetes Research and PolicySheba Medical CenterRamat GanIsrael
- Diabetes Medical CenterTel AvivIsrael
| | - Avivit Golan‐Cohen
- Medical DivisionLeumit Health ServicesTel‐AvivIsrael
- Department of Family MedicineSackler School of MedicineTel Aviv UniversityTel‐AvivIsrael
| | - Roy Eldor
- Diabetes UnitInstitute of Endocrinology, Metabolism and HypertensionTel Aviv Sourasky Medical CenterTel‐AvivIsrael
- Sackler School of MedicineTel‐Aviv UniversityTel AvivIsrael
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Abstract
BACKGROUND Stress-induced hyperglycemia is frequently experienced by critically ill patients and the use of glycemic control (GC) has been shown to improve patient outcomes. For model-based approaches to GC, it is important to understand and quantify model parameter assumptions. This study explores endogenous glucose production (EGP) and the use of a population-based parameter value in the intensive care unit context. METHOD Hourly insulin sensitivity (SI) was fit to clinical data from 145 patients on the Specialized Relative Insulin and Nutrition Titration GC protocol for at least 24 hours. Constraint of SI at a lower bound was used to explore likely EGP variability due to stress response. Minimum EGP was estimated during times when the model SI was constrained, and time and duration of events were examined. RESULTS Constrained events occur for 1.6% of patient hours. About 70% of constrained events occur in the first 12 hours and most events (~80%) occur when there is no exogenous nutrition given. Enhanced EGP values ranged from 1.16 mmol/min (current population value) to 2.75 mmol/min, with most being below 1.5 mmol/min (21% increase). CONCLUSION The frequency of constrained events is low and the current population value of 1.16 mmol/min is sufficient for more than 98% of patient hours, however, some patients experience significantly raised EGP probably due to an extreme stress response early in patient stay.
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Affiliation(s)
- Jennifer J. Ormsbee
- Department of Mechanical Engineering, Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand
| | - Jennifer L. Knopp
- Department of Mechanical Engineering, Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand
| | - J. Geoffrey Chase
- Department of Mechanical Engineering, Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand
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32
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Okazaki M, Hayashi H, Gabata R, Ohbatake Y, Shinbashi H, Nakanuma S, Makino I, Tajima H, Takamura H, Ohta T. Analysis of perioperative glucose metabolism using an artificial pancreas. Artif Organs 2021; 45:998-1005. [PMID: 33819346 DOI: 10.1111/aor.13962] [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: 11/25/2020] [Revised: 03/30/2021] [Accepted: 03/31/2021] [Indexed: 12/24/2022]
Abstract
Hyperglycemia associated with insulin resistance is common in surgical patients with and without diabetes and is associated with poor surgical outcomes. Several studies have recently shown that a closed-loop blood glucose monitoring system in the form of an artificial pancreas is safe and effective for surgical patients. In this study, we analyzed the risk factors for insulin resistance in patients using an artificial pancreas. We investigated 109 patients who underwent surgical management by an artificial pancreas for 24 hours from the start of surgery during either major hepatectomy (MH), defined as resection of more than two liver segments, or pancreaticoduodenectomy (PD). The target glucose range was from 80 to 110 mg/dL using an artificial pancreas. We analyzed the risk factors for and predictors of a high insulin dose, including sarcopenia markers, according to the median 24-hour total insulin infusion. The median total insulin dose and glycemic control rate (GCR), which is the rate of achieving the target blood glucose range, per 24 hours were 78.0 IU and 30.4% in the MH group and 82.6 IU and 23.5% in the PD group, respectively. The muscle volume was the only independent factor in the high-dose subgroup, and the GCR was significantly lower in the high-dose subgroup despite a high insulin dose in both the MH and PD groups. The results of this study suggest that preoperative sarcopenia is closely associated with insulin resistance in the perioperative period. Clinicians must effectively manage sarcopenia, which may result in improved perioperative glycemic control and reduced postoperative complications.
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Affiliation(s)
- Mitsuyoshi Okazaki
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, Kanazawa, Japan
| | - Hironori Hayashi
- Department of Surgery, Toyama Prefectural Central Hospital, Toyama, Japan
| | - Ryousuke Gabata
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, Kanazawa, Japan
| | - Yoshinao Ohbatake
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, Kanazawa, Japan
| | - Hiroyuki Shinbashi
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, Kanazawa, Japan
| | - Shinichi Nakanuma
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, Kanazawa, Japan
| | - Isamu Makino
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, Kanazawa, Japan
| | - Hidehiro Tajima
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, Kanazawa, Japan
| | - Hiroyuki Takamura
- Department of General and Digestive Surgery, Kanazawa Medical University, Kanazawa, Japan
| | - Tetsuo Ohta
- Department of Hepato-Biliary-Pancreatic Surgery and Transplantation, Kanazawa University, Kanazawa, Japan
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Eckert I, Kumbier MCC, Silva FM, Franzosi OS, de Almeida JC. Association of specialized enteral nutrition with glycemic control and clinical outcomes in critically ill patients: A meta-analysis of randomized controlled trials. Clin Nutr 2021; 40:3940-3949. [PMID: 34139467 DOI: 10.1016/j.clnu.2021.04.030] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/06/2021] [Accepted: 04/19/2021] [Indexed: 12/30/2022]
Abstract
OBJECTIVE To evaluate the association of glycemic-control formulae (GCF) with measurements of glycemic control and clinical outcomes compared to standard enteral formulae (SF) in critically ill patients. DATA SOURCES MEDLINE, EMBASE, Scopus and the Cochrane Central Register of Controlled Trials were searched from inception up to January, 2021. STUDY SELECTION RCTs that assessed the effects of GCF relative to SF in adult critically ill patients. DATA EXTRACTION Measurements of glycemic control were the primary outcomes. Secondary outcomes included insulin requirements, mechanical ventilation (MV), length of intensive care unit (ICU) stay and mortality. Two authors independently extracted data and assessed risk of bias using the Cochrane's RoB 2 tool and the GRADE approach was used to assess the quality of evidence. DATA SYNTHESIS Ten studies (12 reports, 685 patients) were included. The use of GCFs was associated with lower blood glucose (WMD, -16.06 mg/dL; 95% CI -23.48 to -8.63; I2 = 47%) and lower daily administered insulin (WMD, -7.20 IU; 95% CI -13.92 to -0.48; I2 = 53%). Glycemic variability, measured by the coefficient of variation, was also associated with the use of GCFs (WMD, -6.84%; 95% CI, -13.57 to -0.11; I2 = 95%). In contrast, analyses for length of ICU stay (WMD, -0.12, 95% CI -1.77 to 1.52; I2 = 0%), duration of MV (WMD, -0.34 days; 95% CI, -1.72 to 1.04; I2 = 0%) and mortality (RR, 1.13; 95% CI 0.82 to 1.56; I2 = 0%) were not statistically significant. Quality of evidence ranged from low to very low, and only one study was judged as at low risk of bias. CONCLUSIONS In this meta-analysis, GCFs were significantly associated with lower insulin requirements and improved glycemic control. Although results for clinical outcomes were not statistically significant, there is insufficient evidence to confirm or exclude important differences due to serious imprecision in the effect estimates and overall low quality of evidence. The effects of GCFs on clinical outcomes require confirmation in larger randomized trials.
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Affiliation(s)
- Igor Eckert
- Nutrition Undergraduate Program, Federal University of Health Sciences of Porto Alegre (UFCSPA), Rio Grande do Sul, Brazil
| | - Magali C C Kumbier
- Graduate Program on Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal Do Rio Grande Do Sul (UFRGS), Rio Grande do Sul, Brazil
| | - Flávia M Silva
- Department of Nutrition and Postgraduate Program in Nutrition Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Rio Grande do Sul, Brazil.
| | - Oellen S Franzosi
- Nutrition and Dietetic Division, Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Jussara C de Almeida
- Graduate Program on Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal Do Rio Grande Do Sul (UFRGS), Rio Grande do Sul, Brazil; Division of Nutrition and Dietetics, Hospital de Clínicas de Porto Alegre (HCPA), Rio Grande do Sul, Brazil; Department of Nutrition, Faculdade de Medicina, Universidade Federal Do Rio Grande Do Sul, Rio Grande do Sul (UFRGS), Brazil
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Kim YM, Jeung KW, Kim WY, Park YS, Oh JS, You YH, Lee DH, Chae MK, Jeong YJ, Kim MC, Ha EJ, Hwang KJ, Kim WS, Lee JM, Cha KC, Chung SP, Park JD, Kim HS, Lee MJ, Na SH, Kim ARE, Hwang SO, on behalf of the Steering Committee of 2020 Korean Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. 2020 Korean Guidelines for Cardiopulmonary Resuscitation. Part 5. Post-cardiac arrest care. Clin Exp Emerg Med 2021; 8:S41-S64. [PMID: 34034449 PMCID: PMC8171174 DOI: 10.15441/ceem.21.025] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 03/07/2021] [Accepted: 03/19/2021] [Indexed: 12/20/2022] Open
Affiliation(s)
- Young-Min Kim
- Department of Emergency Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Kyung Woon Jeung
- Department of Emergency Medicine, Chonnam National University College of Medicine, Gwangju, Korea
| | - Won Young Kim
- Department of Emergency Medicine, Asan Medical Center, Ulsan University College of Medicine, Seoul, Korea
| | - Yoo Seok Park
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Joo Suk Oh
- Department of Emergency Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Yeon Ho You
- Department of Emergency Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Dong Hoon Lee
- Department of Emergency Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Minjung Kathy Chae
- Department of Emergency Medicine, Ajou University College of Medicine, Suwon, Korea
| | - Yoo Jin Jeong
- Department of Emergency Medicine, Chonnam National University College of Medicine, Gwangju, Korea
| | - Min Chul Kim
- Department of Internal Medicine, Chonnam National University College of Medicine, Gwangju, Korea
| | - Eun Jin Ha
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea
| | - Kyoung Jin Hwang
- Department of Neurology, Kyung Hee University College of Medicine, Seoul, Korea
| | - Won-Seok Kim
- Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jae Myung Lee
- Department of General Surgery, Korea University College of Medicine, Seoul, Korea
| | - Kyoung-Chul Cha
- Department of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Sung Phil Chung
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - June Dong Park
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea
| | - Han-Suk Kim
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea
| | - Mi Jin Lee
- Department of Emergency Medicine, Kyoungbook University College of Medicine, Daegu, Korea
| | - Sang-Hoon Na
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Ai-Rhan Ellen Kim
- Department of Pediatrics, Ulsan University College of Medicine, Seoul, Korea
| | - Sung Oh Hwang
- Department of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - on behalf of the Steering Committee of 2020 Korean Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care
- Department of Emergency Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Chonnam National University College of Medicine, Gwangju, Korea
- Department of Emergency Medicine, Asan Medical Center, Ulsan University College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Yonsei University College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Chungnam National University College of Medicine, Daejeon, Korea
- Department of Emergency Medicine, Chung-Ang University College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Ajou University College of Medicine, Suwon, Korea
- Department of Internal Medicine, Chonnam National University College of Medicine, Gwangju, Korea
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Korea
- Department of Neurology, Kyung Hee University College of Medicine, Seoul, Korea
- Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
- Department of General Surgery, Korea University College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea
- Department of Emergency Medicine, Kyoungbook University College of Medicine, Daegu, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Pediatrics, Ulsan University College of Medicine, Seoul, Korea
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Robbins T, Sankaranarayanan S, Randeva H, Keung SNLC, Arvanitis TN. Association between glycosylated haemoglobin and outcomes for patients discharged from hospital with diabetes: A health informatics approach. Digit Health 2021; 7:20552076211007661. [PMID: 33948220 PMCID: PMC8054217 DOI: 10.1177/20552076211007661] [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: 06/28/2020] [Accepted: 03/13/2021] [Indexed: 11/16/2022] Open
Abstract
Aims/Objectives Extensive research considers associations between inpatient glycaemic control and outcomes during hospital admission; this cautions against overly tight glycaemic targets. Little research considers glycaemic control following hospital discharge. This is despite a clear understanding that people with diabetes are at increased risk of negative outcomes, following discharge. We evaluate absolute and relative Hba1c values, and frequency of Hba1c monitoring, on readmission and mortality rates for people discharged from hospital with diabetes. Methods All discharges (n = 46,357) with diabetes from a major tertiary referral centre over 3 years were extracted, including biochemistry data. We conducted an evaluation of association between Hba1c, mortality and readmission, statistical significance and standardised Cohen's D effect size calculations. Results 399 patients had a Hba1c performed during their admission. 3,138 patients had a Hba1c within 1 year of discharge. Mean average Hba1c for readmissions was 57.82 vs 60.39 for not readmitted (p = 0.009, Cohen's D 0.28). Mean average number of days to Hba1c testing in readmitted was 97 vs 113 for those not readmitted (p = 0.00006, Cohen's D 0.39). Further evaluation of mortality outcomes, cohorts of T1DM and T2DM and association of relative change in Hba1c was performed. Conclusions Lower Hba1c values following discharge from hospital are significantly associated with increased risk of readmission, as is a shorter duration until testing. Similar patterns observed for mortality. Findings particularly prominent for T1DM. Further research needed to consider underlying causation and design of appropriate risk stratification models.
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Affiliation(s)
- Tim Robbins
- University Hospitals Coventry & Warwickshire NHS Trust, Coventry, UK.,Institute of Digital Healthcare, WMG, University of Warwick, Coventry, UK
| | | | - Harpal Randeva
- University Hospitals Coventry & Warwickshire NHS Trust, Coventry, UK.,Warwick Medical School, University of Warwick, Coventry, UK
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Recomendaciones para la terapia nutricional de pacientes con COVID-19. ACTA COLOMBIANA DE CUIDADO INTENSIVO 2021. [PMCID: PMC7843081 DOI: 10.1016/j.acci.2021.01.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Hypoglycemic episodes predict length of stay in patients with acute burns. J Crit Care 2021; 64:68-73. [PMID: 33794469 DOI: 10.1016/j.jcrc.2021.03.005] [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: 08/10/2020] [Revised: 03/10/2021] [Accepted: 03/12/2021] [Indexed: 11/23/2022]
Abstract
Hypoglycemic episodes are associated with worse hospital outcomes. All adult patients admitted to our burn center from 2015 to 2019 were retrospectively reviewed. Patient demographics and burn characteristics were recorded. The primary outcome was mortality, and secondary outcomes were total length-of-stay and intensive care unit length-of-stay. All patients experiencing at least one hypoglycemic episode were compared to patients who did not experience hypoglycemia. There were 914 patients with acute burns admitted during the study period, 33 of which (4%) experienced hypoglycemic episodes. Of these, 17 patients (52%) experienced a single hypoglycemic episode, while the remainder experienced multiple hypoglycemic episodes. Patients with one or more hypoglycemic events were matched to non-hypoglycemic controls using propensity matching. Patients that experienced hypoglycemia had significantly less TBSA involvement (5% vs. 13%,median, p < 0.0002), higher prevalence of diabetes (48% vs. 18%, p < 0.0001), higher mortality (18% vs. 7%, p = 0.01), longer total length-of-stay (22 vs. 8 days, median, p < 0.0001), and longer ICU length-of-stay (12 vs. 0 days, median, p < 0.0001). A single hypoglycemic episode was associated with prolonged total (IRR = 1.91, p < 0.0001) and ICU length-of-stay (IRR = 3.86, p < 0.0001). Hypoglycemia was not associated with higher mortality in the survival analysis (p = 0.46).
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38
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[S3 Guideline Sepsis-prevention, diagnosis, therapy, and aftercare : Long version]. Med Klin Intensivmed Notfmed 2021; 115:37-109. [PMID: 32356041 DOI: 10.1007/s00063-020-00685-0] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Rao RH, Perreiah PL, Cunningham CA. Monitoring the Impact of Aggressive Glycemic Intervention during Critical Care after Cardiac Surgery with a Glycemic Expert System for Nurse-Implemented Euglycemia: The MAGIC GENIE Project. J Diabetes Sci Technol 2021; 15:251-264. [PMID: 33650454 PMCID: PMC8256075 DOI: 10.1177/1932296821995568] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A novel, multi-dimensional protocol named GENIE has been in use for intensive insulin therapy (IIT, target glucose <140 mg/dL) in the surgical intensive care unit (SICU) after open heart surgery (OHS) at VA Pittsburgh since 2005. Despite concerns over increased mortality from IIT after the publication of the NICE-SUGAR Trial, it remains in use, with ongoing monitoring under the MAGIC GENIE Project showing that GENIE performance over 12 years (2005-2016) aligns with the current consensus that IIT with target blood glucose (BG) <140 mg/dL is advisable only if it does not provoke severe hypoglycemia (SH). Two studies have been conducted to monitor glucometrics and outcomes during GENIE use in the SICU. One compares GENIE (n = 382) with a traditional IIT protocol (FORMULA, n = 289) during four years of contemporaneous use (2005-2008). The other compares GENIE's impact overall (n = 1404) with a cohort of patients who maintained euglycemia after OHS (euglycemic no-insulin [ENo-I], n = 111) extending across 12 years (2005-2016). GENIE performed significantly better than FORMULA during contemporaneous use, maintaining lower time-averaged glucose, provoking less frequent, severe, prolonged, or repetitive hypoglycemia, and achieving 50% lower one-year mortality, with no deaths from mediastinitis (0 of 8 cases vs 4 of 9 on FORMULA). Those benefits were sustained over the subsequent eight years of exclusive use in OHS patients, with an overall one-year mortality rate (4.2%) equivalent to the ENo-I cohort (4.5%). The results of the MAGIC GENIE Project show that GENIE can maintain tight glycemic control without provoking SH in patients undergoing OHS, and may be associated with a durable survival benefit. The results, however, await confirmation in a randomized control trial.
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Affiliation(s)
- R. Harsha Rao
- Division of Endocrinology, Medicine
Service Line, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- R. Harsha Rao, MD, FRCP, Professor of
Medicine and Chief of Endocrinology, VA Pittsburgh Healthcare System, Room
7W-109 VAPHS, University Drive Division, Pittsburgh, PA 15240, USA. Emails:
;
| | - Peter L. Perreiah
- Division of Endocrinology, Medicine
Service Line, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Candace A. Cunningham
- Division of Endocrinology, Medicine
Service Line, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
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40
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Uyttendaele V, Chase JG, Knopp JL, Gottlieb R, Shaw GM, Desaive T. Insulin sensitivity in critically ill patients: are women more insulin resistant? Ann Intensive Care 2021; 11:12. [PMID: 33475909 PMCID: PMC7818291 DOI: 10.1186/s13613-021-00807-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 01/12/2021] [Indexed: 02/07/2023] Open
Abstract
Background Glycaemic control (GC) in intensive care unit is challenging due to significant inter- and intra-patient variability, leading to increased risk of hypoglycaemia. Recent work showed higher insulin resistance in female preterm neonates. This study aims to determine if there are differences in inter- and intra-patient metabolic variability between sexes in adults, to gain in insight into any differences in metabolic response to injury. Any significant difference would suggest GC and randomised trial design should consider sex differences to personalise care. Methods Insulin sensitivity (SI) levels and variability are identified from retrospective clinical data for men and women. Data are divided using 6-h blocks to capture metabolic evolution over time. In total, 91 male and 54 female patient GC episodes of minimum 24 h are analysed. Hypothesis testing is used to determine whether differences are significant (P < 0.05), and equivalence testing is used to assess whether these differences can be considered equivalent at a clinical level. Data are assessed for the raw cohort and in 100 Monte Carlo simulations analyses where the number of men and women are equal. Results Demographic data between females and males were all similar, including GC outcomes (safety from hypoglycaemia and high (> 50%) time in target band). Females had consistently significantly lower SI levels than males, and this difference was not clinically equivalent. However, metabolic variability between sexes was never significantly different and always clinically equivalent. Thus, inter-patient variability was significantly different between males and females, but intra-patient variability was equivalent. Conclusion Given equivalent intra-patient variability and significantly greater insulin resistance, females can receive the same benefit from safe, effective GC as males, but may require higher insulin doses to achieve the same glycaemia. Clinical trials should consider sex differences in protocol design and outcome analyses.
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Affiliation(s)
- Vincent Uyttendaele
- GIGA-In silico Medicine,, University of Liège, Allée du 6 Août 19, Bât. B5a, 4000, Liège, Belgium. .,Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand.
| | - J Geoffrey Chase
- Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
| | - Jennifer L Knopp
- GIGA-In silico Medicine,, University of Liège, Allée du 6 Août 19, Bât. B5a, 4000, Liège, Belgium
| | - Rebecca Gottlieb
- Medtronic Diabetes, 18000 Devonshire St, Northridge, CA, 91325, USA
| | - Geoffrey M Shaw
- Christchurch Hospital, Dept of Intensive Care, Christchurch, New Zealand and University of Otago, School of Medicine, Christchurch, New Zealand
| | - Thomas Desaive
- GIGA-In silico Medicine,, University of Liège, Allée du 6 Août 19, Bât. B5a, 4000, Liège, Belgium
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Uyttendaele V, Chase JG, Knopp JL, Gottlieb R, Shaw GM, Desaive T. Insulin sensitivity in critically ill patients: are women more insulin resistant? Ann Intensive Care 2021. [PMID: 33475909 DOI: 10.1186/s13613-021-00807-7.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Glycaemic control (GC) in intensive care unit is challenging due to significant inter- and intra-patient variability, leading to increased risk of hypoglycaemia. Recent work showed higher insulin resistance in female preterm neonates. This study aims to determine if there are differences in inter- and intra-patient metabolic variability between sexes in adults, to gain in insight into any differences in metabolic response to injury. Any significant difference would suggest GC and randomised trial design should consider sex differences to personalise care. METHODS Insulin sensitivity (SI) levels and variability are identified from retrospective clinical data for men and women. Data are divided using 6-h blocks to capture metabolic evolution over time. In total, 91 male and 54 female patient GC episodes of minimum 24 h are analysed. Hypothesis testing is used to determine whether differences are significant (P < 0.05), and equivalence testing is used to assess whether these differences can be considered equivalent at a clinical level. Data are assessed for the raw cohort and in 100 Monte Carlo simulations analyses where the number of men and women are equal. RESULTS Demographic data between females and males were all similar, including GC outcomes (safety from hypoglycaemia and high (> 50%) time in target band). Females had consistently significantly lower SI levels than males, and this difference was not clinically equivalent. However, metabolic variability between sexes was never significantly different and always clinically equivalent. Thus, inter-patient variability was significantly different between males and females, but intra-patient variability was equivalent. CONCLUSION Given equivalent intra-patient variability and significantly greater insulin resistance, females can receive the same benefit from safe, effective GC as males, but may require higher insulin doses to achieve the same glycaemia. Clinical trials should consider sex differences in protocol design and outcome analyses.
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Affiliation(s)
- Vincent Uyttendaele
- GIGA-In silico Medicine,, University of Liège, Allée du 6 Août 19, Bât. B5a, 4000, Liège, Belgium. .,Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand.
| | - J Geoffrey Chase
- Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
| | - Jennifer L Knopp
- GIGA-In silico Medicine,, University of Liège, Allée du 6 Août 19, Bât. B5a, 4000, Liège, Belgium
| | - Rebecca Gottlieb
- Medtronic Diabetes, 18000 Devonshire St, Northridge, CA, 91325, USA
| | - Geoffrey M Shaw
- Christchurch Hospital, Dept of Intensive Care, Christchurch, New Zealand and University of Otago, School of Medicine, Christchurch, New Zealand
| | - Thomas Desaive
- GIGA-In silico Medicine,, University of Liège, Allée du 6 Août 19, Bât. B5a, 4000, Liège, Belgium
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Knopp JL, Chase JG, Shaw GM. Increased insulin resistance in intensive care: longitudinal retrospective analysis of glycaemic control patients in a New Zealand ICU. Ther Adv Endocrinol Metab 2021; 12:20420188211012144. [PMID: 34123348 PMCID: PMC8173630 DOI: 10.1177/20420188211012144] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 04/02/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Critical care populations experience demographic shifts in response to trends in population and healthcare, with increasing severity and/or complexity of illness a common observation worldwide. Inflammation in critical illness impacts glucose-insulin metabolism, and hyperglycaemia is associated with mortality and morbidity. This study examines longitudinal trends in insulin sensitivity across almost a decade of glycaemic control in a single unit. METHODS A clinically validated model of glucose-insulin dynamics is used to assess hour-hour insulin sensitivity over the first 72 h of insulin therapy. Insulin sensitivity and its hour-hour percent variability are examined over 8 calendar years alongside severity scores and diagnostics. RESULTS Insulin sensitivity was found to decrease by 50-55% from 2011 to 2015, and remain low from 2015 to 2018, with no concomitant trends in age, severity scores or risk of death, or diagnostic category. Insulin sensitivity variability was found to remain largely unchanged year to year and was clinically equivalent (95% confidence interval) at the median and interquartile range. Insulin resistance was associated with greater incidence of high insulin doses in the effect saturation range (6-8 U/h), with the 75th percentile of hourly insulin doses rising from 4-4.5 U/h in 2011-2014 to 6 U/h in 2015-2018. CONCLUSIONS Increasing insulin resistance was observed alongside no change in insulin sensitivity variability, implying greater insulin needs but equivalent (variability) challenge to glycaemic control. Increasing insulin resistance may imply greater inflammation and severity of illness not captured by existing severity scores. Insulin resistance reduces glucose tolerance, and can cause greater incidence of insulin saturation and resultant hyperglycaemia. Overall, these results have significant clinical implications for glycaemic control and nutrition management.
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Affiliation(s)
| | - J. Geoffrey Chase
- Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
| | - Geoffrey M. Shaw
- Department of Intensive Care, Christchurch Hospital, Christchurch, New Zealand
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Carvalho RC, Nishi FA, Ribeiro TB, França GG, Aguiar PM. Association Between Intra-Hospital Uncontrolled Glycemia and Health Outcomes in Patients with Diabetes: A Systematic Review of Observational Studies. Curr Diabetes Rev 2021; 17:304-316. [PMID: 32000645 DOI: 10.2174/1573399816666200130093523] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 12/26/2019] [Accepted: 01/09/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND Many people are still getting affected by uncontrolled glycemic events during hospital admission, which encompasses hypoglycemia, hyperglycemia, and high glycemic variability. INTRODUCTION Primary studies have shown an association of glycemic dysregulation with increased length of hospital stay and mortality among overall patients, however, there is no systematic review of current evidence on the association between uncontrolled in-hospital glycemia in patients with diabetes and health outcomes. This study aimed to systematically review the current evidence on the association between uncontrolled in-hospital glycemia in patients with diabetes and health outcomes. METHODS The association between glycemic dysregulation and health outcomes for inpatients with diabetes was systematically reviewed. PubMed, Embase, and LILACS databases were searched. Two independent reviewers were involved in each of the following steps: screening titles, abstracts, and fulltexts; assessing the methodological quality; and extracting data from included reviews. Descriptive analysis method was used. RESULTS Seven cohort studies were included, and only two had a prospective design, consisting of 7,174 hospitalized patients with diabetes. In-hospital occurrence of hypoglycemia, hyperglycemia, and glycemic variability were assessed, and outcomes were mortality, infections, renal complications, and adverse events. Among the exposure and outcomes, an association was observed between severe hypoglycemia and mortality, hyperglycemia and infection, and hyperglycemia and adverse events. CONCLUSION In-hospital uncontrolled glycemia in patients with diabetes is associated with poor health outcomes. More studies should be conducted for proper investigation because diabetes is a complex condition. Effects of glycemic dysregulation should be investigated on the basis of overall health of a patient instead from only organ-target perspective, which makes the investigation difficult.
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Affiliation(s)
- Renata Cunha Carvalho
- Division of Pharmacy of University Hospital, University of São Paulo, São Paulo, Brazil
| | - Fernanda Ayache Nishi
- Department of Nursing of University Hospital, University of São Paulo, São Paulo, Brazil
| | - Tatiane Bomfim Ribeiro
- Department of Preventive Medicine, Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Gustavo Galvão França
- Division of Pharmacy of University Hospital, University of São Paulo, São Paulo, Brazil
| | - Patricia Melo Aguiar
- Department of Pharmacy, Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil
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Lebet RM, Hasbani NR, Sisko MT, Agus MSD, Nadkarni VM, Wypij D, Curley MAQ. Nurses' Perceptions of Workload Burden in Pediatric Critical Care. Am J Crit Care 2021; 30:27-35. [PMID: 33385203 DOI: 10.4037/ajcc2021725] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Quantifying nurses' perceptions of workload burden when managing critically ill patients is essential for designing interventions to ease nurses' workday. OBJECTIVES To explore pediatric intensive care unit (PICU) nurses' perceptions of their workload when caring for critically ill patients and managing protocolized therapies. METHODS This study was embedded in a multicenter randomized clinical trial where participants were assigned to receive either lower-target or higher-target glucose control. Nurses from 35 participating PICUs completed a baseline survey containing questions about their perceptions of PICU workload in general. They completed an intervention survey after caring for a study patient. Two workload measurement instruments, the Subjective Workload Assessment Technique (SWAT) and the National Aeronautics and Space Administration-Task Load Index (NASA-TLX), were embedded in these surveys. RESULTS Baseline surveys were completed by 1476 PICU nurses, predominantly female with a bachelor's degree and a median (interquartile range) of 6 (3-11) years of nursing experience and 4 (2-9) years of PICU experience. Most nurses (65%) rated time burden as the most important component of their workload, followed by cognitive (22%) or psychological stress (13%) burden. Work performance was selected most often as contributing to workload, followed by cognitive demand, time pressure, effort, and physical demand. Intervention surveys were completed by 73% of enrolled participants (505 of 693). Nurses managing the lower glucose target group reported higher levels of workload burden as measured by the SWAT (P = .002) and NASA-TLX (P < .001). CONCLUSIONS This study describes the workload burden perceived by PICU nurses when managing critically ill patients in general and when managing protocolized therapies.
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Affiliation(s)
- Ruth M. Lebet
- Ruth M. Lebet is a nurse scientist, Department of Pediatric Nursing Research and Evidence-Based Practice, Children’s Hospital of Philadelphia, and program director for the pediatric and neonatal clinical nurse specialist programs, Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia
| | - Natalie R. Hasbani
- Natalie R. Hasbani is a data manager, Department of Cardiology, Boston Children’s Hospital, Boston, Massachusetts
| | - Martha T. Sisko
- Martha T. Sisko is a certified research coordinator, Department of Anesthesiology and Critical Care Medicine, Children’s Hospital of Philadelphia
| | - Michael S. D. Agus
- Michael S. D. Agus is a pediatric intensivist, endocrinologist, and chief, Division of Medical Critical Care, Boston Children’s Hospital, and an associate professor, Department of Pediatrics, Harvard Medical School, Boston, Massachusetts
| | - Vinay M. Nadkarni
- Vinay M. Nadkarni is a professor, Department of Anesthesiology and Critical Care Medicine, Children’s Hospital of Philadelphia and Department of Anesthesiology and Critical Care Medicine, Perelman School of Medicine, University of Pennsylvania
| | - David Wypij
- David Wypij is a senior biostatistician, Department of Cardiology, Boston Children’s Hospital, an associate professor, Department of Pediatrics, Harvard Medical School, and a senior lecturer, Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Martha A. Q. Curley
- Martha A. Q. Curley is the Ruth M. Colket Endowed Chair in Pediatric Nursing, Department of Family and Community Health, School of Nursing, University of Pennsylvania, Department of Anesthesiology and Critical Care Medicine, Perelman School of Medicine, University of Pennsylvania, and Research Institute, Children’s Hospital of Philadelphia
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El Shebiny AA, Elewa GM, Gouda EAG, Hashim RM. Glucose intolerance in intensive care patients: Incidence and outcome. EGYPTIAN JOURNAL OF ANAESTHESIA 2020. [DOI: 10.1080/11101849.2020.1864253] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Affiliation(s)
- Ahmed A. El Shebiny
- Anesthesia, ICU, and Pain Management, Faculty of Medicine , Ain Shams University, Cairo, Egypt
| | - Gamal M. Elewa
- Anesthesia, ICU, and Pain Management, Faculty of Medicine , Ain Shams University, Cairo, Egypt
| | | | - Reham Mustafa Hashim
- Anesthesia, ICU, and Pain Management, Faculty of Medicine , Ain Shams University, Cairo, Egypt
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Dose-dependent effects of necrostatin-1 supplementation to tissue culture media of young porcine islets. PLoS One 2020; 15:e0243506. [PMID: 33284818 PMCID: PMC7721208 DOI: 10.1371/journal.pone.0243506] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 11/20/2020] [Indexed: 12/23/2022] Open
Abstract
Previous studies have shown that necrostatin-1 (Nec-1) supplementation improved the viability of murine islets following exposure to nitric oxide, increased the survival of human islets during hypoxic culture, and augmented the maturation of pre-weaned porcine islets (PPIs) after 7 days of tissue culture. A limitation of these studies is that only one concentration of Nec-1 was used, and no studies have determined the optimal dose of Nec-1 for PPIs. Thus, the present study examined the effects of Nec-1 on PPIs at four different doses—0, 25, 50, 100, and 200 μM—after 7 days of tissue culture when supplemented on day 3. PPIs were isolated from pancreata of pre-weaned Yorkshire piglets (8–15 days old) and cultured in a specific islet maturation media added with Nec-1 on day 3 of tissue culture at 4 different doses—0, 25, 50, 100, and 200 μM (n = 6 for each dose). After 7 days of tissue culture, islets were assessed for recovery, viability, endocrine cellular content, GLUT2 expression in beta cells, and insulin secretion after glucose challenge. Nec-1 did not affect the viability of both intact islets and dissociated islets cells during tissue culture regardless of doses. Islets cultured in media supplemented with Nec-1 at 100 μM, but not 25, 50, or 200 μM, had a significantly higher recovery, composition of endocrine cells, GLUT2 expression in beta cells, and insulin secretion capacity than control islets cultured in media without Nec-1 supplementation. Moreover, culturing islets in 200 μM Nec-1 supplemented media not only failed to improve the insulin release but resulted in a lower glucose-induced insulin stimulation index compared to islets cultured in media added with 100 μM Nec-1. Xenotransplantation using porcine islets continues to demonstrate scientific advances to justify this area of research. Our findings indicate that Nec-1 supplementation at 100 μM was most effective to enhance the in vitro maturation of PPIs during tissue culture.
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Ekanayake PS, Juang PS, Kulasa K. Review of Intravenous and Subcutaneous Electronic Glucose Management Systems for Inpatient Glycemic Control. Curr Diab Rep 2020; 20:68. [PMID: 33165676 DOI: 10.1007/s11892-020-01364-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/26/2020] [Indexed: 11/29/2022]
Abstract
PURPOSE OF REVIEW The goal of this review is to summarize current literature on electronic glucose management systems (eGMS) and discuss their benefits and disadvantages in the inpatient setting. RECENT FINDINGS We review different versions of commercially available eGMS: Glucommander™ (Glytec, Greenville, SC), EndoToolR (MD Scientific LLC, Charlotte, NC), GlucoStabilizer™ (Medical Decision Network, Charlottesville, VA), GlucoCare™ (Pronia Medical Systems, KY), and discuss advantages such as reducing rates of hypoglycemia, hyperglycemia, and glycemic variability. In addition, eCGMs offer a uniform standard of care and may improve workflows across institutions as well reduce barriers. Despite ample literature on intravenous (IV) versions of eGMS, there is little published research on subcutaneous (SQ) insulin guidance. Although use of eGMS requires extensive training and institution-wide adoption, time spent on diabetes management is better facilitated by their use.
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Affiliation(s)
- Preethika S Ekanayake
- Department of Internal Medicine, Division of Endocrinology and Metabolism, University of California, San Diego, San Diego, CA, USA.
| | - Patricia S Juang
- Department of Internal Medicine, Division of Endocrinology and Metabolism, University of California, San Diego, San Diego, CA, USA
| | - Kristen Kulasa
- Department of Internal Medicine, Division of Endocrinology and Metabolism, University of California, San Diego, San Diego, CA, USA
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Dei Cas A, Aldigeri R, Ridolfi V, Vazzana A, Ciardullo AV, Manicardi V, Sforza A, Tomasi F, Zavaroni D, Zavaroni I, Bonadonna RC. A performance score of the quality of inpatient diabetes care is a marker of clinical outcomes and suggests a cause-effect relationship between hypoglycaemia and the risk of in-hospital mortality. Diabetes Metab Res Rev 2020; 36:e3347. [PMID: 32445284 DOI: 10.1002/dmrr.3347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 05/04/2020] [Accepted: 05/10/2020] [Indexed: 12/17/2022]
Abstract
AIMS To build a tool to assess the management of inpatients with diabetes mellitus and to investigate its relationship, if any, with clinical outcomes. MATERIALS AND METHODS A total of 678 patients from different settings, Internal Medicine (IMU, n = 255), General Surgery (GSU, n = 230) and Intensive Care (ICU, n = 193) Units, were enrolled. A work-flow of clinical care of diabetes was created according to guidelines. The workflow was divided into five different domains: (a) initial assessment; (b) glucose monitoring; (c) medical therapy; (d) consultancies; (e) discharge. Each domain was assessed by a performance score (PS), computed as the sum of the scores achieved in a set of indicators of clinical appropriateness, management and patient empowerment. Appropriate glucose goals were included as intermediate phenotypes. Clinical outcomes included: hypoglycaemia, survival rate and clinical conditions at discharge. RESULTS The total PS and those of initial assessment and glucose monitoring were significantly lower in GSU with respect to IMU and ICU (P < .0001). The glucose monitoring PS was associated with lower risk of hypoglycaemia (OR = 0.55; P < .0001), whereas both the PSs of glucose monitoring and medical therapy resulted associated with higher in-hospital survival only in the IMU ward (OR = 6.67 P = .001 and OR = 2.38 P = .03, respectively). Instrumental variable analysis with the aid of PS of glucose monitoring showed that hypoglycaemia may play a causal role in in-hospital mortality (P = .04). CONCLUSIONS The quality of in-hospital care of diabetes may affect patient outcomes, including glucose control and the risk of hypoglycaemia, and through the latter it may influence the risk of in-hospital mortality.
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Affiliation(s)
- Alessandra Dei Cas
- Department of Medicine and Surgery, Università di Parma, Parma, Italy
- Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | | | - Valentina Ridolfi
- Department of Medicine and Surgery, Università di Parma, Parma, Italy
- Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Angela Vazzana
- Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | | | | | | | | | | | - Ivana Zavaroni
- Department of Medicine and Surgery, Università di Parma, Parma, Italy
- Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Riccardo C Bonadonna
- Department of Medicine and Surgery, Università di Parma, Parma, Italy
- Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
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Intravenous insulin for the management of non-emergent hyperglycemia in the emergency department. Am J Emerg Med 2020; 45:335-339. [PMID: 33041132 DOI: 10.1016/j.ajem.2020.08.078] [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: 04/22/2020] [Revised: 08/22/2020] [Accepted: 08/24/2020] [Indexed: 10/23/2022] Open
Abstract
PURPOSE There is currently no consensus regarding the necessity of emergency department (ED) glucose reduction to manage hyperglycemia in patients presenting without a hyperglycemic emergency. Known consequences of intravenous (IV) insulin administration include hypoglycemia, hypokalemia, and increased ED length of stay. The primary objective of this study was to assess the impact of IV regular insulin on glucose reduction and ED length of stay in patients presenting to the ED with non-emergent hyperglycemia. Secondary objectives included the characterization of potential adverse events. METHODS This was a retrospective, observational study of patients ≥18 years who received IV regular insulin and were discharged from the ED at a large academic Trauma Center. Univariate and multivariable regression analyses were utilized to determine if an association existed between IV insulin administration and blood glucose as well as ED length of stay. RESULTS A total of 405 patients were included in the analysis. An insulin dose >5 units was associated with a greater reduction in blood glucose (difference = 37.4 mg/dL; p < .001) but no difference in ED length of stay relative to ≤5 units. Furthermore, 7.9% of patients developed hypokalemia and 0.4% developed hypoglycemia. CONCLUSION The use of >5 units of IV regular insulin for the management of isolated hyperglycemia in the ED was associated with a modest reduction in blood glucose and no difference in ED length of stay compared with those that received ≤5 units. However, use of IV insulin for this purpose resulted in a 7.9% occurrence of hypokalemia.
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Gupta R, Bajwa SJS, Abraham J, Kurdi M. The Efficacy of Intensive versus Conventional Insulin Therapy in Reducing Mortality and Morbidity in Medical and Surgical Critically Ill Patients: A Randomized Controlled Study. Anesth Essays Res 2020; 14:295-299. [PMID: 33487832 PMCID: PMC7819396 DOI: 10.4103/aer.aer_62_20] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/01/2020] [Accepted: 07/10/2020] [Indexed: 01/08/2023] Open
Abstract
Context Stress hyperglycemia in critically ill patients has been a matter of debate for years without any conclusive answer till date regarding glucose management and treatment thresholds. Aims We planned a study with an aim to compare the efficacy of intensive versus conventional insulin therapy in reducing the mortality and morbidity in critically ill patients. The primary objective was to compare mortality between the two groups. The secondary objective was to find out if intensive insulin therapy is better than conventional insulin therapy in terms of various outcomes such as infections and need for inotropes and transfusion requirements. Settings and Design It was a prospective randomized controlled study. The study population included 100 patients who received mechanical ventilation and admitted to the intensive care department of a tertiary care institute. Subjects and Methods Patients were randomly assigned to two groups: intensive insulin therapy (IIT) and conventional insulin therapy (CIT) to receive either intensive or conventional insulin therapy. Insulin infusion was started only when blood glucose levels exceeded 200 mg%. Blood glucose levels were maintained between 80 and 110 mg% in the IIG and between 180 and 200 mg% in the CIG. Statistical Analysis Used The data collected were analyzed separately for both the groups using Student's t-test and Chi-square test. Results The two groups were comparable in terms of baseline demographic data including age, sex, preadmission diabetic status, and HbA1c at the time of admission. The two groups were not comparable in terms of Acute Physiology and Chronic Health Evaluation-II scores, and the difference between them was statistically significant with higher scores in the conventional group. The primary outcome, that is, mortality, was higher in the CIG with 29 patients (58%) versus 3 (6%) in the IIG (P = 0.02). The secondary outcomes were the measures of morbidity including infections, need for inotropic support, and need for blood transfusions, and these were significantly higher in the conventional group (P < 0.05). Conclusions We conclude that tight glycemic control significantly lowers mortality and morbidity in critically ill patients, both surgical and medical. These benefits appear with the maintenance of tight blood glucose control of 80-110 mg.dL - 1 and not due to administration of insulin.
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Affiliation(s)
- Ritu Gupta
- Department of Anaesthesia and Critical Care, Gian Sagar Medical College and Hospital, Patiala, Punjab, India
| | - Sukhminder Jit Singh Bajwa
- Department of Anaesthesia and Critical Care, Gian Sagar Medical College and Hospital, Patiala, Punjab, India
| | - John Abraham
- Department of Anaesthesia and Critical Care, Christian Medical College, Ludhiana, Punjab, India
| | - Madhuri Kurdi
- Department of Anaesthesia and Critical Care, Karnataka Institute of Medical Sciences, Hubli, Karnataka, India
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