Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-Analysis

OBJECTIVES:. To perform a systematic review and meta-analysis to evaluate the association of various measures of glycemic variability, including time-domain and complexity-domain, with short-term mortality in patients with critical illness. DATA SOURCES:. We searched Embase Classic +, MEDLINE, and t...

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Published in:Critical Care Explorations
Main Authors: Brett N. Hryciw, MD, Jamie Ghossein, MD, Bram Rochwerg, MD, MSc, Hilary Meggison, MD, Shannon M. Fernando, MD, MSc, Kwadwo Kyeremanteng, MD, Alexandre Tran, MD, MSc, Andrew J. E. Seely, MDCM, PhD
Format: Article
Language:English
Published: Wolters Kluwer 2024-01-01
Online Access:http://journals.lww.com/10.1097/CCE.0000000000001025
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author Brett N. Hryciw, MD
Jamie Ghossein, MD
Bram Rochwerg, MD, MSc
Hilary Meggison, MD
Shannon M. Fernando, MD, MSc
Kwadwo Kyeremanteng, MD
Alexandre Tran, MD, MSc
Andrew J. E. Seely, MDCM, PhD
author_facet Brett N. Hryciw, MD
Jamie Ghossein, MD
Bram Rochwerg, MD, MSc
Hilary Meggison, MD
Shannon M. Fernando, MD, MSc
Kwadwo Kyeremanteng, MD
Alexandre Tran, MD, MSc
Andrew J. E. Seely, MDCM, PhD
author_sort Brett N. Hryciw, MD
collection DOAJ
container_title Critical Care Explorations
description OBJECTIVES:. To perform a systematic review and meta-analysis to evaluate the association of various measures of glycemic variability, including time-domain and complexity-domain, with short-term mortality in patients with critical illness. DATA SOURCES:. We searched Embase Classic +, MEDLINE, and the Cochrane Database of Systematic Reviews from inception to November 3, 2023. STUDY SELECTION:. We included English language studies that assessed metrics of glycemic variation or complexity and short-term mortality in patients admitted to the ICU. DATA EXTRACTION:. Two authors performed independent data abstraction and risk-of-bias assessments. We used a random-effects model to pool binary and continuous data and summarized estimates of effect using odds ratios and mean difference. We used the Quality in Prognosis Studies tool to assess risk of bias and the Grading of Recommendations, Assessment, Development and Evaluations to assess certainty of pooled estimates. DATA SYNTHESIS:. We included 41 studies (n = 162,259). We demonstrate that increased sd, coefficient of variance, glycemic lability index, and decreased time in range are probably associated with increased mortality in critically ill patients (moderate certainty) and that increased mean absolute glucose, mean amplitude of glycemic excursion, and detrended fluctuation analysis may be associated with increased mortality (low certainty). CONCLUSIONS:. We found a consistent association between increased measures of glycemic variability and higher short-term mortality in patient with critical illness. Further research should focus on standardized measurements of glycemic variation and complexity, along with their utility as therapeutic targets and prognostic markers.
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spelling doaj-art-e4d717c6ec664e129e7d4e257e06bec22025-08-20T00:17:37ZengWolters KluwerCritical Care Explorations2639-80282024-01-0161e102510.1097/CCE.0000000000001025202401000-00003Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-AnalysisBrett N. Hryciw, MD0Jamie Ghossein, MD1Bram Rochwerg, MD, MSc2Hilary Meggison, MD3Shannon M. Fernando, MD, MSc4Kwadwo Kyeremanteng, MD5Alexandre Tran, MD, MSc6Andrew J. E. Seely, MDCM, PhD71 Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.2 Department of Medicine, University of Ottawa, Ottawa, ON, Canada.3 Department of Medicine, Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.1 Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.4 Department of Critical Care, Lakeridge Health Corporation, Oshawa, ON, Canada.1 Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.1 Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.1 Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.OBJECTIVES:. To perform a systematic review and meta-analysis to evaluate the association of various measures of glycemic variability, including time-domain and complexity-domain, with short-term mortality in patients with critical illness. DATA SOURCES:. We searched Embase Classic +, MEDLINE, and the Cochrane Database of Systematic Reviews from inception to November 3, 2023. STUDY SELECTION:. We included English language studies that assessed metrics of glycemic variation or complexity and short-term mortality in patients admitted to the ICU. DATA EXTRACTION:. Two authors performed independent data abstraction and risk-of-bias assessments. We used a random-effects model to pool binary and continuous data and summarized estimates of effect using odds ratios and mean difference. We used the Quality in Prognosis Studies tool to assess risk of bias and the Grading of Recommendations, Assessment, Development and Evaluations to assess certainty of pooled estimates. DATA SYNTHESIS:. We included 41 studies (n = 162,259). We demonstrate that increased sd, coefficient of variance, glycemic lability index, and decreased time in range are probably associated with increased mortality in critically ill patients (moderate certainty) and that increased mean absolute glucose, mean amplitude of glycemic excursion, and detrended fluctuation analysis may be associated with increased mortality (low certainty). CONCLUSIONS:. We found a consistent association between increased measures of glycemic variability and higher short-term mortality in patient with critical illness. Further research should focus on standardized measurements of glycemic variation and complexity, along with their utility as therapeutic targets and prognostic markers.http://journals.lww.com/10.1097/CCE.0000000000001025
spellingShingle Brett N. Hryciw, MD
Jamie Ghossein, MD
Bram Rochwerg, MD, MSc
Hilary Meggison, MD
Shannon M. Fernando, MD, MSc
Kwadwo Kyeremanteng, MD
Alexandre Tran, MD, MSc
Andrew J. E. Seely, MDCM, PhD
Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-Analysis
title Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-Analysis
title_full Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-Analysis
title_fullStr Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-Analysis
title_full_unstemmed Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-Analysis
title_short Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-Analysis
title_sort glycemic variability as a prognostic factor for mortality in patients with critical illness a systematic review and meta analysis
url http://journals.lww.com/10.1097/CCE.0000000000001025
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