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全身炎症反应综合征标准与危重症患者医院死亡率的预测:一项回顾性队列研究。

Systemic inflammatory response syndrome criteria and the prediction of hospital mortality in critically ill patients: a retrospective cohort study.

作者信息

Taniguchi Leandro Utino, Pires Ellen Maria Campos, Vieira José Mauro, Azevedo Luciano Cesar Pontes de

机构信息

Instituto de Ensino e Pesquisa, Hospital Sírio-Libanês - São Paulo (SP), Brasil.

Disciplina de Emergências Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo (SP), Brasil.

出版信息

Rev Bras Ter Intensiva. 2017 Jul-Sep;29(3):317-324. doi: 10.5935/0103-507X.20170047. Epub 2017 Sep 28.

Abstract

OBJECTIVE

This study intended to determine whether the systemic inflammatory response syndrome criteria can predict hospital mortality in a Brazilian cohort of critically ill patients.

METHODS

We performed a retrospective cohort study at a private tertiary hospital in São Paulo (SP), Brazil. We extracted information from the adult intensive care unit database (Sistema EpimedTM). We compared the SAPS 3 and the systemic inflammatory response syndrome model as dichotomous (≥ 2 criteria: systemic inflammatory response syndrome -positive versus 0 - 1 criterion: systemic inflammatory response syndrome -negative) and ordinal variables from 0 to 4 (according to the number of systemic inflammatory response syndrome criteria met) in the prediction of hospital mortality at intensive care unit admission. Model discrimination was compared using the area under the receiver operating characteristics (AUROC) curve.

RESULTS

From January to December 2012, we studied 932 patients (60.4% were systemic inflammatory response syndrome -positive). systemic inflammatory response syndrome -positive patients were more critically ill than systemic inflammatory response syndrome -negative patients and had higher hospital mortality (16.9% versus 8.1%, p < 0.001). In the adjusted analysis, being systemic inflammatory response syndrome -positive independently increased the risk of death by 82% (odds ratio 1.82; 95% confidence interval [CI] 1.12 - 2.96, p = 0.016). However, the AUROC curve for the SAPS 3 model was higher (0.81, 95%CI 0.78 - 0.85) compared to the systemic inflammatory response syndrome model with the systemic inflammatory response syndrome criteria as a dichotomous variable (0.60, 95%CI 0.55 - 0.65) and as an ordinal variable (0.62, 95%CI 0.57 - 0.68; p < 0.001) for hospital mortality.

CONCLUSION

Although systemic inflammatory response syndrome is associated with hospital mortality, the systemic inflammatory response syndrome criteria show low accuracy in the prediction of mortality compared with the SAPS 3.

摘要

目的

本研究旨在确定全身炎症反应综合征标准能否预测巴西重症患者队列的医院死亡率。

方法

我们在巴西圣保罗(SP)的一家私立三级医院进行了一项回顾性队列研究。我们从成人重症监护病房数据库(Sistema EpimedTM)中提取信息。我们将简化急性生理学评分(SAPS)3和全身炎症反应综合征模型作为二分变量(≥2条标准:全身炎症反应综合征阳性与0 - 1条标准:全身炎症反应综合征阴性)以及从0到4的有序变量(根据满足的全身炎症反应综合征标准数量),用于预测重症监护病房入院时的医院死亡率。使用受试者工作特征(AUROC)曲线下面积比较模型的辨别力。

结果

2012年1月至12月,我们研究了932例患者(60.4%为全身炎症反应综合征阳性)。全身炎症反应综合征阳性患者比全身炎症反应综合征阴性患者病情更重,医院死亡率更高(16.9%对8.1%,p < 0.001)。在调整分析中,全身炎症反应综合征阳性独立使死亡风险增加82%(比值比1.82;95%置信区间[CI] 1.12 - 2.96,p = 0.016)。然而,对于医院死亡率,SAPS 3模型的AUROC曲线(0.81,95%CI 0.78 - 0.85)高于将全身炎症反应综合征标准作为二分变量(0.60,95%CI 0.55 - 0.65)和有序变量(0.62,95%CI 0.57 - 0.68;p < 0.001)的全身炎症反应综合征模型。

结论

尽管全身炎症反应综合征与医院死亡率相关,但与SAPS 3相比,全身炎症反应综合征标准在预测死亡率方面准确性较低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/501e/5632974/ab1f8ed9618a/rbti-29-03-0317-g01.jpg

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