Feeding intolerance score in critically ill patients with enteral nutrition: A post hoc analysis of a prospective study

医学 析因分析 逻辑回归 优势比 内科学 肠内给药 接收机工作特性 肠外营养 入射(几何) 前瞻性队列研究 风险因素 光学 物理
作者
Jiajia Lin,Yang Liu,Lu Ke,Gang Li,Cheng Lv,Jing Zhou,Bo Ye,Baiqiang Li,Qi Yang,Zhihui Tong,Weiqin Li,Jieshou Li,for the Chinese Critical Care Nutrition Trials Group CCCNTG
出处
期刊:Nutrition in Clinical Practice [Wiley]
卷期号:37 (4): 869-877 被引量:10
标识
DOI:10.1002/ncp.10788
摘要

Feeding intolerance (FI) is common in critically ill patients fed with enteral nutrition. Although there is increasing evidence showing the association between FI and mortality, no reliable quantitative assessment was available in clinical practice. In this study, we proposed a FI scoring system based on gastrointestinal (GI) symptoms to assist the implementation of enteral nutrition and assessed its association with 28-day mortality.This is a post hoc analysis based on data collected in a previous cross-sectional study. All adult patients who were enterally fed were included. Various definitions of FI were compared. The area under the receiver operating characteristic (AUROC) was used to assess the predictive performance for 28-day mortality. Pearson correlation coefficient and the variance inflation factor were applied to detect collinearity among variables. Multiple logistic regression analysis was used to determine the risk factors for 28-day mortality.Of the 1098 patients included, 200 (18.2%) were nonsurvivors. The incidence of GI symptoms was higher in nonsurvivors on the study day. The multiple logistic regression analysis showed that the proposed FI score was an independent risk factor for 28-day mortality (odds ratio [OR]: 1.37; 95% CI, 1.25-1.51; P < .001). Moreover, the FI score showed better predictive accuracy for 28-day mortality than the other definitions (AUROC: 0.633 [95% CI, 0.591-0.675] for the FI score vs 0.595 (95% CI, 0.557-0.633] for the best-performing FI definition [P = 0.001]).FI score is independently associated with 28-day mortality in critically ill patients with acceptable predictive accuracy.
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