Mater Research Institute - The University of Queensland, Aubigny Place, South Brisbane, Australia.
Mater Research Institute - The University of Queensland, Aubigny Place, South Brisbane, Australia.
Clin Nutr. 2019 Aug;38(4):1707-1712. doi: 10.1016/j.clnu.2018.08.001. Epub 2018 Aug 16.
BACKGROUND & AIMS: Extremes of dysglycaemia as well as glycaemic variability are associated with excess mortality in critically ill patients. Glycaemic variability is an increasingly important measure of glucose control in the intensive care unit (ICU) due to this association; however, there is limited data pertaining to the relationship between exogenous glucose from nutrition and glycaemic variability and clinical outcomes. The primary aim of this study was to determine if glycaemic variability is associated with an increase in mortality. Secondary objectives were to investigate any factors affecting glycaemic variability, and to characterise the role nutrition, particularly carbohydrate, plays as a contributing factor to glycaemic variability and other clinical outcomes (duration of ventilation and ICU length of stay).
Data on patients in a combined medical/surgical tertiary Australian Intensive Care Unit (ICU), ventilated for >24 h and exclusively fed by artificial nutrition support was extracted from a clinical database of prospectively collected information over an 18 month period. Glycaemic variability was defined as the coefficient of variation (GV; standard deviation/mean of blood glucose levels x 100). Statistical analysis was performed using logistic regression, zero-truncated negative binomial and linear regression as appropriate to the distribution of the outcome variable using R software.
Data on up to 759 subjects was available. The average age of the study cohort was 56.9 years with a mean (standard deviation) APACHE III score of 72 (28). 66% of the study subjects were male. Glycaemic variability was associated with an increase in mortality (odds ratio 1.02; 95% CI: 1.00-1.04, p = 0.03). Factors associated with glycaemic variability included Acute Physiology and Chronic Health Evaluation III score (0.09, 0.06-0.11, p < 0.001), being male (-1.67, -2.97 to -0.38), p = 0.01) and mean units of insulin per day (0.08, 0.06-0.09, p < 0.001). There was no effect of any nutritional factor on glycaemic variability. Further exploratory analyses though showed that for those patients who required insulin during ICU admission, increased insulin dose was associated with increasing carbohydrate (incidence rate ratio (IRR) 1.003, 1.001-1.005, p = 0.001). Mean daily carbohydrate provision (grams) was associated with an increase in ventilation hours (IRR, 95% CI: 1.009, 1.008-1.009, p < 0.001) and length of intensive care unit stay (IRR, 95% CI: 1.007, 1.006-1.008, p < 0.001).
This study confirms that GV was associated with excess mortality. Furthermore, administration of increasing doses of insulin was associated with increased GV. Increased carbohydrate intake was associated with an increased insulin requirement, as well as increased duration of mechanical ventilation and ICU length of stay. These findings provide important context for further prospective trials investigating the effect of carbohydrate provision in mechanically ventilated critically ill patients requiring artificial nutritional support.
血糖异常以及血糖变异性与危重症患者的死亡率升高有关。由于这种关联,血糖变异性已成为重症监护病房(ICU)血糖控制的一个越来越重要的衡量指标;然而,关于营养来源的外源性葡萄糖与血糖变异性和临床结局之间的关系,相关数据有限。本研究的主要目的是确定血糖变异性是否与死亡率升高有关。次要目标是研究影响血糖变异性的任何因素,并描述营养(特别是碳水化合物)在血糖变异性和其他临床结局(通气时间和 ICU 住院时间)中的作用。
从一个前瞻性收集信息的临床数据库中提取了在澳大利亚一家综合内科/外科三级 ICU 接受通气超过 24 小时且仅通过人工营养支持喂养的患者的数据。血糖变异性定义为变异系数(GV;血糖水平的标准差/平均值×100)。使用 R 软件,根据结局变量的分布,使用逻辑回归、零截断负二项式和线性回归进行适当的统计分析。
共有 759 名患者的数据可用。研究队列的平均年龄为 56.9 岁,平均(标准差)APACHE III 评分为 72(28)。66%的研究对象为男性。血糖变异性与死亡率升高有关(比值比 1.02;95%置信区间:1.00-1.04,p=0.03)。与血糖变异性相关的因素包括急性生理学和慢性健康评估 III 评分(0.09,0.06-0.11,p<0.001)、男性(-1.67,-2.97 至-0.38,p=0.01)和每日胰岛素平均单位数(0.08,0.06-0.09,p<0.001)。任何营养因素对血糖变异性均无影响。进一步的探索性分析表明,对于那些在 ICU 住院期间需要胰岛素的患者,胰岛素剂量的增加与碳水化合物的增加有关(发生率比(IRR)1.003,1.001-1.005,p=0.001)。每日碳水化合物供给量(克)与通气时间的增加有关(IRR,95%置信区间:1.009,1.008-1.009,p<0.001)和 ICU 住院时间的延长有关(IRR,95%置信区间:1.007,1.006-1.008,p<0.001)。
本研究证实 GV 与死亡率升高有关。此外,胰岛素剂量的增加与 GV 的增加有关。碳水化合物摄入的增加与胰岛素需求的增加以及机械通气时间和 ICU 住院时间的延长有关。这些发现为进一步研究机械通气的危重症患者中碳水化合物供给对接受人工营养支持的影响提供了重要背景。