医学
低氧血症
接收机工作特性
Lasso(编程语言)
机械通风
重症监护医学
临床试验
重症监护室
重症监护
自主呼吸试验
急诊医学
内科学
万维网
计算机科学
作者
Neha A. Sathe,Leila R. Zelnick,Eric D. Morrell,Pavan K. Bhatraju,V. Eric Kerchberger,Catherine L. Hough,Lorraine B. Ware,Alison E. Fohner,Mark M. Wurfel
标识
DOI:10.1097/ccm.0000000000006181
摘要
Improving the efficiency of clinical trials in acute hypoxemic respiratory failure (HRF) depends on enrichment strategies that minimize enrollment of patients who quickly resolve with existing care and focus on patients at high risk for persistent HRF. We aimed to develop parsimonious models predicting risk of persistent HRF using routine data from ICU admission and select research immune biomarkers.
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