急性呼吸窘迫综合征患者Gustave Roussy免疫评分与住院死亡风险的关联:来自MIMIC-IV数据库的回顾性队列研究

IF 1.8
Qiong Ji, Wei Liu
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引用次数: 0

摘要

背景:目前尚缺乏研究描述Gustave Roussy免疫评分(GRIm-s)与急性呼吸窘迫综合征(ARDS)患者住院死亡风险之间的关系。本研究旨在探讨GRIm-s与ARDS患者住院死亡率之间的关系,并比较GRIm-s与基于MIMIC-IV数据库的常用评分系统预测死亡风险的能力。方法:根据白蛋白、中性粒细胞与淋巴细胞比值(NLR)和乳酸脱氢酶(LDH)计算GRIm-s。采用单因素和多因素logistic回归分析,以比值比(OR)和95%置信区间(CIs)探讨GRIm-s与院内死亡率之间的关系。采用受试者操作特征(ROC)分析验证GRIm-s对NLR和序贯器官衰竭评估(SOFA)、简化急性生理评分II (SAPSII)和精神混乱、尿尿症、呼吸频率、血压、年龄≥65岁(CURB-65)的预测能力和增强预测能力,曲线下面积(AUC)和95%CI。结果:纳入1238例符合条件的ARDS患者,住院死亡率为34.25%。高GRIm-s与较高的院内死亡风险相关。GRIm-s的预测价值优于NLR。GRIm-s能够显著提高SOFA、SAPSII、CURB-65等单一评分预测系统的预测能力。结论:高GRIm-s与ARDS患者院内死亡风险高相关。GRIm-s对ARDS患者的预后有较好的预测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Gustave Roussy immune score and the risk of in-hospital mortality in patients with acute respiratory distress syndrome: A retrospective cohort study from MIMIC-IV database.

Background: There has been a lack of studies to describe the relationship between Gustave Roussy immune score (GRIm-s) and the risk of in-hospital mortality in patients with acute respiratory distress syndrome (ARDS) so far. This study aimed to investigate the relationship between GRIm-s and hospital mortality in patients with ARDS and to compare the predictive ability of GRIm-s with common scoring systems for predicting mortality risk based on MIMIC-IV database.

Methods: GRIm-s was calculated based on albumin, neutrophil-to-lymphocyte ratio (NLR) and lactate dehydrogenase (LDH). The univariate and multivariate logistic regression analysis were used to explore association between GRIm-s and in-hospital mortality, with odds ratio (OR) and 95 % confidence intervals (CIs). The receiver operator characteristic (ROC) analysis was performed to verity the predictive power and the enhancement the predictive power of GRIm-s to NLR and sequential organ failure assessment (SOFA), simplified acute physiology score II (SAPSII) and confusion, uremia, respiratory rate, blood pressure, age ≥65 years (CURB-65), with area under the curve (AUC) and 95 %CI.

Results: Totally 1238 eligible ARDS patients were included with the in-hospital mortality was 34.25 %. High GRIm-s was associated with higher risk of in-hospital mortality. The predictive value of GRIm-s was superior to NLR. GRIm-s can significantly improve the predictive power of a single score prediction system including SOFA, SAPSII, and CURB-65.

Conclusions: High GRIm-s was associated with high risk of in-hospital mortality in ARDS patients. GRIm-s has a good predictive ability for the prognosis of ARDS patients.

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