Usefulness of glycemic gap to predict ICU mortality in critically ill patients with diabetes

Wen I. Liao, Jen Chun Wang, Wei Chou Chang, Chin Wang Hsu, Chi Ming Chu, Shih Hung Tsai

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

Stress-induced hyperglycemia (SIH) has been independently associated with an increased risk of mortality in critically ill patients without diabetes. However, it is also necessary to consider preexisting hyperglycemia when investigating the relationship between SIH and mortality in patients with diabetes. We therefore assessed whether the gap between admission glucose and A1C-derived average glucose (ADAG) levels could be a predictor of mortality in critically ill patients with diabetes. We retrospectively reviewed the Acute Physiology and Chronic Health Evaluation II (APACHE-II) scores and clinical outcomes of patients with diabetes admitted to our medical intensive care unit (ICU) between 2011 and 2014. The glycosylated hemoglobin (HbA1c) levels were converted to the ADAG by the equation, ADAG= [(28.7×HbA1c)-46.7]. We also used receiver operating characteristic (ROC) curves to determine the optimal cut-off value for the glycemic gap when predicting ICU mortality and used the net reclassification improvement (NRI) to measure the improvement in prediction performance gained by adding the glycemic gap to the APACHE-II score. We enrolled 518 patients, of which 87 (17.0%) died during their ICU stay. Nonsurvivors had significantly higher APACHE-II scores and glycemic gaps than survivors (P

Original languageEnglish
Article numbere1525
JournalMedicine (United States)
Volume94
Issue number36
DOIs
Publication statusPublished - Sep 1 2015

ASJC Scopus subject areas

  • Medicine(all)

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