Identification of acute respiratory distress syndrome subphenotypes de novo using routine clinical data: a retrospective analysis of ARDS clinical trials

• Fernando G Zampieri,
• Ary Serpa Neto,
• Alexandre Biasi Cavalcanti,
• Abhijit Duggal,
• Rachel Kast,
• Emily Van Ark,
• Lucas Bulgarelli,
• Matthew T Siuba,
• Jeff Osborn,
• Diego Ariel Rey,
• Israel Maia,
• Denise M Paisani,
• Ligia N Laranjeira,
• Rodrigo Octávio Deliberato

Affiliations

Fernando G Zampieri

HCor Research Institute, Sao Paulo, Brazil

Ary Serpa Neto

Australian and New Zealand Intensive Care Research Centre (ANZIC-RC), School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia

Alexandre Biasi Cavalcanti

HCor Research Institute, Sao Paulo, Brazil

Abhijit Duggal

Department of Critical Care Medicine, Cleveland Clinic, Cleveland, Ohio, USA

Rachel Kast

Department of Clinical Data Science, Endpoint Health, Palo Alto, California, USA

Emily Van Ark

Department of Clinical Data Science, Endpoint Health, Palo Alto, California, USA

Lucas Bulgarelli

Department of Clinical Data Science, Endpoint Health, Palo Alto, California, USA

Matthew T Siuba

Department of Critical Care Medicine, Cleveland Clinic, Cleveland, Ohio, USA

Jeff Osborn

Department of Clinical Data Science, Endpoint Health, Palo Alto, California, USA

Diego Ariel Rey

Department of Clinical Data Science, Endpoint Health, Palo Alto, California, USA

Israel Maia

Hospital do Coracao, Sao Paulo, São Paulo, Brazil

Denise M Paisani

HCor Research Institute, Sao Paulo, Brazil

Ligia N Laranjeira

HCor Research Institute, Sao Paulo, Brazil

Rodrigo Octávio Deliberato

Department of Clinical Data Science, Endpoint Health, Palo Alto, California, USA