医学
急性呼吸窘迫综合征
观察研究
潜在类模型
人口
随机对照试验
内科学
一致性
重症监护医学
肺
机器学习
计算机科学
环境卫生
作者
Pratik Sinha,Kevin Delucchi,Yue Chen,Hanjing Zhuo,Jason Abbott,Chunxue Wang,Nancy Wickersham,J. Brennan McNeil,Alejandra Jáuregui,Serena Ke,Kathryn Vessel,Antonio Gómez,Carolyn M. Hendrickson,Kirsten N. Kangelaris,Aartik Sarma,Aleksandra Leligdowicz,Kathleen D. Liu,Michael A. Matthay,Lorraine B. Ware,Carolyn S. Calfee
出处
期刊:Thorax
[BMJ]
日期:2021-07-12
卷期号:77 (1): 13-21
被引量:73
标识
DOI:10.1136/thoraxjnl-2021-217158
摘要
Using latent class analysis (LCA), two subphenotypes of acute respiratory distress syndrome (ARDS) have consistently been identified in five randomised controlled trials (RCTs), with distinct biological characteristics, divergent outcomes and differential treatment responses to randomised interventions. Their existence in unselected populations of ARDS remains unknown. We sought to identify subphenotypes in observational cohorts of ARDS using LCA.LCA was independently applied to patients with ARDS from two prospective observational cohorts of patients admitted to the intensive care unit, derived from the Validating Acute Lung Injury markers for Diagnosis (VALID) (n=624) and Early Assessment of Renal and Lung Injury (EARLI) (n=335) studies. Clinical and biological data were used as class-defining variables. To test for concordance with prior ARDS subphenotypes, the performance metrics of parsimonious classifier models (interleukin 8, bicarbonate, protein C and vasopressor-use), previously developed in RCTs, were evaluated in EARLI and VALID with LCA-derived subphenotypes as the gold-standard.A 2-class model best fit the population in VALID (p=0.0010) and in EARLI (p<0.0001). Class 2 comprised 27% and 37% of the populations in VALID and EARLI, respectively. Consistent with the previously described 'hyperinflammatory' subphenotype, Class 2 was characterised by higher proinflammatory biomarkers, acidosis and increased shock and worse clinical outcomes. The similarities between these and prior RCT-derived subphenotypes were further substantiated by the performance of the parsimonious classifier models in both cohorts (area under the curves 0.92-0.94). The hyperinflammatory subphenotype was associated with increased prevalence of chronic liver disease and neutropenia and reduced incidence of chronic obstructive pulmonary disease. Measurement of novel biomarkers showed significantly higher levels of matrix metalloproteinase-8 and markers of endothelial injury in the hyperinflammatory subphenotype, whereas, matrix metalloproteinase-9 was significantly lower.Previously described subphenotypes are generalisable to unselected populations of non-trauma ARDS.
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