Kulkarni Hemant, Bihari Shailesh, Prakash Shivesh, Huckson Sue, Chavan Shaila, Mamtani Manju, Pilcher David
M&H Research, LLC, San Antonio, TX.
Department of Critical Care Medicine, College of Medicine & Public Health, Flinders University and Flinders Medical Centre, Adelaide, SA, Australia.
Crit Care Explor. 2019 Aug 1;1(8):e0025. doi: 10.1097/CCE.0000000000000025. eCollection 2019 Aug.
Wide variations in blood glucose excursions in critically ill patients may influence adverse outcomes such as hospital mortality. However, whether blood glucose variability is independently associated with mortality or merely captures the excess risk attributable to hyperglycemic and hypoglycemic episodes is not established. We investigated whether blood glucose variability independently predicted hospital mortality in nonhyperglycemic critical care patients.
Retrospective, registry data analyses of outcomes.
Large, binational registry (Australia and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation Adult Patient Database repository) of 176 ICUs across Australia and New Zealand.
We used 10-year data on nonhyperglycemic patients registered in the Australia and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation Adult Patient Database repository ( = 290,966).
None.
Glucose variability was captured using glucose width defined as the difference between highest and lowest blood glucose concentration within first 24 hours of ICU admission. We used hierarchical, mixed effects logistic regression models that accounted for ICU variation and several fixed-effects covariates. Glucose width was specifically and independently associated with hospital mortality. The association of blood glucose variability with mortality remained significant (odds ratio for highest vs lowest quartile of glucose, 1.43; 95% CI, 1.32-1.55; < 0.001) even after adjusting for the baseline risk of mortality, midpoint blood glucose level, occurrence of hypoglycemia and inter-ICU variation. Mixed effects modeling showed that there was a statistically significant variation in this association across ICUs.
Our study demonstrates that glucose variability is independently associated with hospital mortality in critically ill adult patients. Inclusion of correction for glucose variability in glycemic control protocols needs to be investigated in future studies.
危重症患者血糖波动幅度差异很大,这可能会影响诸如医院死亡率等不良结局。然而,血糖变异性是否独立与死亡率相关,或者仅仅反映了高血糖和低血糖发作所致的额外风险,目前尚无定论。我们调查了血糖变异性是否能独立预测非高血糖危重症患者的医院死亡率。
对结局进行回顾性登记数据分析。
澳大利亚和新西兰176个重症监护病房的大型双边登记处(澳大利亚和新西兰重症监护学会结局与资源评估成人患者数据库储存库)。
我们使用了澳大利亚和新西兰重症监护学会结局与资源评估成人患者数据库储存库中登记的非高血糖患者的10年数据(n = 290,966)。
无。
采用血糖宽度来反映血糖变异性,血糖宽度定义为重症监护病房入院后最初24小时内最高血糖浓度与最低血糖浓度之差。我们使用了分层混合效应逻辑回归模型,该模型考虑了重症监护病房的差异以及几个固定效应协变量。血糖宽度与医院死亡率存在特定的独立关联。即使在调整了死亡率的基线风险、血糖中点水平、低血糖的发生情况以及重症监护病房之间的差异后,血糖变异性与死亡率的关联仍然显著(血糖最高四分位数与最低四分位数的比值比为1.43;95%可信区间为1.32 - 1.55;P < 0.001)。混合效应模型显示,各重症监护病房之间这种关联存在统计学显著差异。
我们的研究表明,血糖变异性与成年危重症患者的医院死亡率独立相关。未来研究需要探讨在血糖控制方案中纳入血糖变异性校正的问题。