[The association between early blood glucose fluctuation and prognosis in critically ill patients]
- PMID: 22248753
[The association between early blood glucose fluctuation and prognosis in critically ill patients]
Abstract
Objective: To investigate the association between early blood glucose level fluctuation and prognosis of critically ill patients.
Methods: A retrospective study involving 95 critically ill patients in intensive care unit (ICU) was conducted. According to the 28-day outcome after admission to ICU, the patients were divided into nonsurvivors (43 cases) and survivors (52 cases), and the blood glucose level in them was monitored in the first 72 hours. Blood glucose concentration at admission (BGadm), mean blood glucose level (MBG), hyperglycemia index (HGI), glycemic lability index (GLI), incidence of hypoglycemia and total dosage of intravenous insulin for each patient were compared. The index as an independent risk factor of mortality was determined by multivariate logistic regression analysis and the predictor value by comparing the area under the receiver operating characteristic curve (ROC curve, AUC) of each index.
Results: The BGadm (mmol/L), MBG (mmol/L), HGI and the incidence of hypoglycemia showed no significant differences between nonsurvivors and survivors [BGadm: 9.87 ± 4.48 vs. 9.26 ± 3.07, MBG: 8.59 ± 1.23 vs. 8.47 ± 1.01, HGI(6.0): 2.45 ± 0.94 vs. 1.68 ± 1.05, HGI(8.3): 0.84 ± 0.70 vs. 0.68 ± 0.51, the incidence of hypoglycemia: 9.30% vs. 5.77%, all P > 0.05], but acute physiology and chronic health evaluation II (APACHE II ) score, GLI and the total dosage of intravenous insulin (U) were significantly higher in nonsurvivors than survivors [APACHE II score: 23 ± 6 vs. 19 ± 6, GLI: 56.96 (65.43) vs. 23.87 (41.62), the total dosage of intravenous insulin: 65.5 (130.5) vs. 12.5 (90.0), all P < 0.05]. Multivariate logistic regression analysis showed that APACHE II score and GLI were both independent risk factors [APACHE II score: odds ratio (OR) = 1.09, 95% confidence interval (95%CI) 1.01-1.17; GLI: OR = 1.03, 95%CI 1.01-1.06, both P < 0.05]. When ROC curve was plotted, the AUC of APACHE II score and GLI was respectively 0.69 and 0.71, and there was no significant difference (P > 0.05).
Conclusions: Early fluctuation of blood glucose is a significant independent risk factor of mortality in critically ill patients. Control the early fluctuation of blood glucose concentration might improve the patients' outcome.
Similar articles
-
[The effect of blood glucose fluctuations on prognosis of critically ill patients in intensive care unit].Zhongguo Wei Zhong Bing Ji Jiu Yi Xue. 2009 Aug;21(8):466-9. Zhongguo Wei Zhong Bing Ji Jiu Yi Xue. 2009. PMID: 19695167 Chinese.
-
The association of mean glucose level and glucose variability with intensive care unit mortality in patients with severe acute pancreatitis.J Crit Care. 2012 Apr;27(2):146-52. doi: 10.1016/j.jcrc.2011.12.004. J Crit Care. 2012. PMID: 22440387
-
[Values of glycemic lability index in the prognostic evaluation of critically ill patients in intensive care unit].Zhonghua Yi Xue Za Zhi. 2011 Nov 1;91(40):2853-7. Zhonghua Yi Xue Za Zhi. 2011. PMID: 22333549 Chinese.
-
A meta-analysis of critically ill patients reveals several potential risk factors for delirium.Gen Hosp Psychiatry. 2014 Sep-Oct;36(5):488-96. doi: 10.1016/j.genhosppsych.2014.05.002. Epub 2014 May 17. Gen Hosp Psychiatry. 2014. PMID: 24950918 Review.
-
[Hormones and the critically ill].Dtsch Med Wochenschr. 2013 Apr;138(14):697-9. doi: 10.1055/s-0032-1333000. Epub 2013 Mar 26. Dtsch Med Wochenschr. 2013. PMID: 23533032 Review. German. No abstract available.
Cited by
-
Effect of informatization-based blood glucose team management on the control of hyperglycaemia in noncritical care units.PLoS One. 2020 Mar 11;15(3):e0230115. doi: 10.1371/journal.pone.0230115. eCollection 2020. PLoS One. 2020. PMID: 32160260 Free PMC article.
-
Eosinophil count at intensive care unit admission was not predictor of hospital mortality: results of a case control study.J Intensive Care. 2015 Jun 6;3(1):27. doi: 10.1186/s40560-015-0093-4. eCollection 2015. J Intensive Care. 2015. PMID: 26082839 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Medical