Identification of acute respiratory distress syndrome subphenotypes de novo using routine clinical data: a retrospective analysis of ARDS clinical trials.
Abhijit DuggalRachel KastEmily Van ArkLucas BulgarelliMatthew T SiubaJeff OsbornDiego Ariel ReyFernando G ZampieriAlexandre Biasi CavalcantiIsrael MaiaDenise M PaisaniLigia N LaranjeiraAry Serpa NetoRodrigo Octávio DeliberatoPublished in: BMJ open (2022)
Routinely available clinical data can successfully identify two distinct subphenotypes in adult ARDS patients. This work may facilitate implementation of precision therapy in ARDS clinical trials.
Keyphrases
- acute respiratory distress syndrome
- extracorporeal membrane oxygenation
- clinical trial
- mechanical ventilation
- end stage renal disease
- electronic health record
- ejection fraction
- newly diagnosed
- chronic kidney disease
- primary care
- healthcare
- big data
- prognostic factors
- stem cells
- patient reported outcomes
- randomized controlled trial
- intensive care unit
- open label
- study protocol
- bone marrow
- patient reported
- data analysis