医学
急性呼吸窘迫综合征
逻辑回归
接收机工作特性
机械通风
重症监护医学
阿帕奇II
内科学
重症监护室
急诊医学
肺
作者
Jesús Villar,Jesús M. González‐Martín,Jerónimo Hernández-González,Miguel Ángel Armengol de la Hoz,Cristina Fernández,Carmen Martín-Rodríguez,Fernando Mosteiro,Domingo Martínez,Jesús Sánchez-Ballesteros,Carlos Ferrando,Ana M. Domínguez-Berrot,José M. Añón,Laura Parra,Raquel Montiel,Rosario Solano,Denis Robaglia,Pedro Rodríguez,Estrella Gómez-Bentolila,Rosa L. Fernández,Tamás Szakmány
标识
DOI:10.1097/ccm.0000000000006030
摘要
Both machine learning and traditional methods lead to promising models to predict ICU death in moderate/severe ARDS patients. More research is needed to identify markers for severity beyond clinical determinants, such as demographics, comorbidities, lung mechanics, oxygenation, and extrapulmonary organ failure to guide patient management.
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