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[应激性高血糖对重症监护患者28天全因死亡风险的预测价值]

[Predictive value of stress-induced hyperglycemia on 28 d risk of all-cause death in intensive care patients].

作者信息

Wang Y X, Deng Y H, Tan Y L, Liu B H

机构信息

Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China.

出版信息

Beijing Da Xue Xue Bao Yi Xue Ban. 2023 Jun 18;55(3):442-449. doi: 10.19723/j.issn.1671-167X.2023.03.009.

Abstract

OBJECTIVE

To investigate the relationship between stress glucose elevation and the risk of 28 d all-cause mortality in intensive care unit (ICU) patients, and to compare the predictive efficacy of different stress glucose elevation indicators.

METHODS

ICU patients who met the inclusion and exclusion criteria in the Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) database were used as the study subjects, and the stress glucose elevation indicators were divided into Q1 (0-25%), Q2 (>25%- 75%), and Q3 (>75%-100%) groups, with whether death occurred in the ICU and the duration of treatment in the ICU as outcome variables, and demographic characteristics, laboratory indicators, and comorbidities as covariates, Cox regression and restricted cubic splines were used to explore the association between stress glucose elevation and the risk of 28 d all-cause death in ICU patients; and subject work characteristics [receiver operating characteristic (ROC) and the area under curve (AUC)] were used to evaluate the predictive efficacy of different stress glucose elevation indicators, The stress hyperglycemia indexes included: stress hyperglycemia ratio (SHR1, SHR2), glucose gap (GG); and the stress hyperglycemia index was further incorporated into the Oxford acute severity of illness score (OASIS) to investigate the predictive efficacy of the improved scores: the AUC was used to assess the score discrimination, and the larger the AUC indicated, the better score discrimination. The Brier score was used to evaluate the calibration of the score, and a smaller Brier score indicated a better calibration of the score.

RESULTS

A total of 5 249 ICU patients were included, of whom 7.56% occurred in ICU death. Cox regression analysis after adjusting for confounders showed that the (95%) for 28 d all-cause mortality in the ICU patients was 1.545 (1.077-2.217), 1.602 (1.142-2.249) and 1.442 (1.001-2.061) for the highest group Q3 compared with the lowest group Q1 for SHR1, SHR2 and GG, respectively, and The risk of death in the ICU patients increased progressively with increasing indicators of stressful blood glucose elevation ( < 0.05). Restricted cubic spline analysis showed a linear relationship between SHR and the 28 d all-cause mortality risk (>0.05). the AUC of SHR2 and GG was significantly higher than that of SHR1: AUC=0.691 (95%: 0.661-0.720), AUC=0.685 (95%: 0.655-0.714), and AUC=0.680 (95%: 0.650-0.709), < 0.05. The inclusion of SHR2 in the OASIS scores significantly improved the discrimination and calibration of the scores: AUC=0.820 (95%: 0.791-0.848), AUC+SHR2=0.832 (95%: 0.804-0.859), < 0.05; Brier score=0.071, Brier score=0.069.

CONCLUSION

Stressful glucose elevation is strongly associated with 28 d all-cause mortality risk in ICU patients and may inform clinical management and decision making in intensive care patients.

摘要

目的

探讨重症监护病房(ICU)患者应激性血糖升高与28天全因死亡率风险之间的关系,并比较不同应激性血糖升高指标的预测效能。

方法

将医学重症监护信息集市Ⅳ(MIMIC-Ⅳ)数据库中符合纳入和排除标准的ICU患者作为研究对象,将应激性血糖升高指标分为Q1(0-25%)、Q2(>25%-75%)和Q3(>75%-100%)组,以是否在ICU发生死亡及在ICU的治疗时长作为结局变量,将人口统计学特征、实验室指标及合并症作为协变量,采用Cox回归和限制性立方样条来探讨应激性血糖升高与ICU患者28天全因死亡风险之间的关联;并采用受试者工作特征[受试者操作特征曲线(ROC)及曲线下面积(AUC)]来评估不同应激性血糖升高指标的预测效能,应激性高血糖指标包括:应激性高血糖比值(SHR1、SHR2)、血糖差值(GG);并将应激性高血糖指标进一步纳入牛津急性疾病严重程度评分(OASIS)中,以研究改进后评分的预测效能:采用AUC评估评分的区分度,AUC越大表明评分区分度越好。采用Brier评分评估评分的校准度,Brier评分越小表明评分校准度越好。

结果

共纳入5249例ICU患者,其中7.56%在ICU发生死亡。校正混杂因素后的Cox回归分析显示,与最低的Q1组相比,SHR1、SHR2和GG的最高Q3组ICU患者28天全因死亡率的风险比(95%置信区间)分别为1.545(1.077-2.217)、1.602(1.142-2.249)和1.442(1.001-2.061),且ICU患者的死亡风险随着应激性血糖升高指标的增加而逐渐升高(P<0.05)。限制性立方样条分析显示SHR与28天全因死亡风险之间呈线性关系(P>0.05)。SHR2和GG的AUC显著高于SHR1:AUC=0.691(95%置信区间:0.661-0.720)、AUC=0.685(95%置信区间:0.655-0.714)和AUC=0.680(95%置信区间:0.650-0.709),P<0.05。将SHR2纳入OASIS评分显著改善了评分的区分度和校准度:AUC=0.820(95%置信区间:0.791-0.848),AUC+SHR2=0.832(95%置信区间:0.804-0.859),P<0.05;Brier评分为0.071,Brier评分为0.069。

结论

应激性血糖升高与ICU患者28天全因死亡风险密切相关,可为重症监护患者的临床管理和决策提供参考。

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