Literature DB >> 22227079

Blood glucose amplitude variability as predictor for mortality in surgical and medical intensive care unit patients: a multicenter cohort study.

Iwan A Meynaar1, Saeid Eslami, Ameen Abu-Hanna, Peter van der Voort, Dylan W de Lange, Nicolette de Keizer.   

Abstract

PURPOSE: The aim of this study was to test the hypothesis that blood glucose amplitude variability (BGAV) is associated with mortality in critically ill patients.
METHOD: A prospectively collected multicenter data set including all glucose measurements during intensive care unit (ICU) treatment and outcome was analyzed. We used logistic regression to assess the association between hospital mortality and standard deviation (SD), mean amplitude of glycemic excursions (MAGE), mean absolute glucose change per hour (MAG), and glycemic lability index (GLI). The analysis was adjusted for ICU, Acute Physiology And Chronic Health Evaluation IV-expected mortality, the presence of severe hypoglycemia, mean glucose, mean glucose measurement interval, and interaction between the latter 2.
RESULTS: There were 855,032 glucose measurements included of 20,375 patients admitted to 37 Dutch ICUs in 2008 and 2009. Median Acute Physiology And Chronic Health Evaluation IV-predicted mortality was 14%, and median glucose was 7.3 mmol/L. In all patients combined, adjusted hospital mortality was associated with SD and MAGE, but not with MAG and GLI. In surgical patients, adjusted hospital mortality was associated with SD, MAGE, and MAG, but not GLI. In medical patients, adjusted mortality was associated with SD but not with other BGAV measures.
CONCLUSION: Not all BGAV measures were associated with mortality. Blood glucose amplitude variability as quantified by SD was consistently independently associated with hospital mortality.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22227079     DOI: 10.1016/j.jcrc.2011.11.004

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  19 in total

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8.  The Association of Glucose Variability and Home Discharge Among Survivors of Critical Illness Managed With a Computerized Decision-Support Tool for Glycemic Control.

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10.  Glucose variability: where it is important and how to measure it.

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