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Glycemic Control in Critically Ill COVID-19 Patients: Systematic Review and Meta-Analysis

Background: Given the mortality risk in COVID-19 patients, it is necessary to estimate the impact of glycemic control on mortality rates among inpatients by designing and implementing evidence-based blood glucose (BG) control methods. There is evidence to suggest that COVID-19 patients with hypergly...

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Autores principales: Chander, Subhash, Deepak, Vishal, Kumari, Roopa, Leys, Lorenzo, Wang, Hong Yu, Mehta, Puja, Sadarat, FNU
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094858/
https://www.ncbi.nlm.nih.gov/pubmed/37048638
http://dx.doi.org/10.3390/jcm12072555
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author Chander, Subhash
Deepak, Vishal
Kumari, Roopa
Leys, Lorenzo
Wang, Hong Yu
Mehta, Puja
Sadarat, FNU
author_facet Chander, Subhash
Deepak, Vishal
Kumari, Roopa
Leys, Lorenzo
Wang, Hong Yu
Mehta, Puja
Sadarat, FNU
author_sort Chander, Subhash
collection PubMed
description Background: Given the mortality risk in COVID-19 patients, it is necessary to estimate the impact of glycemic control on mortality rates among inpatients by designing and implementing evidence-based blood glucose (BG) control methods. There is evidence to suggest that COVID-19 patients with hyperglycemia are at risk of mortality, and glycemic control may improve outcomes. However, the optimal target range of blood glucose levels in critically ill COVID-19 patients remains unclear, and further research is needed to establish the most effective glycemic control strategies in this population. Methods: The investigation was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Data sources were drawn from Google Scholar, ResearchGate, PubMed (MEDLINE), Cochrane Library, and Embase databases. Randomized controlled trials, non-randomized controlled trials, retrospective cohort studies, and observational studies with comparison groups specific to tight glycemic control in COVID-19 patients with and without diabetes. Results: Eleven observational studies (26,953 patients hospitalized for COVID-19) were included. The incidence of death was significantly higher among COVID-19 patients diagnosed with diabetes than those without diabetes (OR = 2.70 [2.11, 3.45] at a 95% confidence interval). Incidences of death (OR of 3.76 (3.00, 4.72) at a 95% confidence interval) and complications (OR of 0.88 [0.76, 1.02] at a 95% confidence interval) were also significantly higher for COVID-19 patients with poor glycemic control. Conclusion: These findings suggest that poor glycemic control in critically ill patients leads to an increased mortality rate, infection rate, mechanical ventilation, and prolonged hospitalization.
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spelling pubmed-100948582023-04-13 Glycemic Control in Critically Ill COVID-19 Patients: Systematic Review and Meta-Analysis Chander, Subhash Deepak, Vishal Kumari, Roopa Leys, Lorenzo Wang, Hong Yu Mehta, Puja Sadarat, FNU J Clin Med Systematic Review Background: Given the mortality risk in COVID-19 patients, it is necessary to estimate the impact of glycemic control on mortality rates among inpatients by designing and implementing evidence-based blood glucose (BG) control methods. There is evidence to suggest that COVID-19 patients with hyperglycemia are at risk of mortality, and glycemic control may improve outcomes. However, the optimal target range of blood glucose levels in critically ill COVID-19 patients remains unclear, and further research is needed to establish the most effective glycemic control strategies in this population. Methods: The investigation was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Data sources were drawn from Google Scholar, ResearchGate, PubMed (MEDLINE), Cochrane Library, and Embase databases. Randomized controlled trials, non-randomized controlled trials, retrospective cohort studies, and observational studies with comparison groups specific to tight glycemic control in COVID-19 patients with and without diabetes. Results: Eleven observational studies (26,953 patients hospitalized for COVID-19) were included. The incidence of death was significantly higher among COVID-19 patients diagnosed with diabetes than those without diabetes (OR = 2.70 [2.11, 3.45] at a 95% confidence interval). Incidences of death (OR of 3.76 (3.00, 4.72) at a 95% confidence interval) and complications (OR of 0.88 [0.76, 1.02] at a 95% confidence interval) were also significantly higher for COVID-19 patients with poor glycemic control. Conclusion: These findings suggest that poor glycemic control in critically ill patients leads to an increased mortality rate, infection rate, mechanical ventilation, and prolonged hospitalization. MDPI 2023-03-28 /pmc/articles/PMC10094858/ /pubmed/37048638 http://dx.doi.org/10.3390/jcm12072555 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Systematic Review
Chander, Subhash
Deepak, Vishal
Kumari, Roopa
Leys, Lorenzo
Wang, Hong Yu
Mehta, Puja
Sadarat, FNU
Glycemic Control in Critically Ill COVID-19 Patients: Systematic Review and Meta-Analysis
title Glycemic Control in Critically Ill COVID-19 Patients: Systematic Review and Meta-Analysis
title_full Glycemic Control in Critically Ill COVID-19 Patients: Systematic Review and Meta-Analysis
title_fullStr Glycemic Control in Critically Ill COVID-19 Patients: Systematic Review and Meta-Analysis
title_full_unstemmed Glycemic Control in Critically Ill COVID-19 Patients: Systematic Review and Meta-Analysis
title_short Glycemic Control in Critically Ill COVID-19 Patients: Systematic Review and Meta-Analysis
title_sort glycemic control in critically ill covid-19 patients: systematic review and meta-analysis
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094858/
https://www.ncbi.nlm.nih.gov/pubmed/37048638
http://dx.doi.org/10.3390/jcm12072555
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