Latent class analysis to predict intensive care outcomes in Acute Respiratory Distress Syndrome: a proposal of two pulmonary phenotypes.
Pedro D Wendel GarciaAlessio CaccioppolaSilvia CoppolaTommaso PozziArianna CiabattoniStefano CenciDavide Alberto ChiumelloPublished in: Critical care (London, England) (2021)
The present study identifies two ARDS phenotypes based on respiratory mechanics, gas-exchange and computed tomography-derived gas- and tissue-volumes. These phenotypes are characterized by distinctly diverse responses to a standardized recruitment manoeuvre and by a diverging mortality. Given multicentre validation, the simple and rapid identification of these pulmonary phenotypes could facilitate enrichment of future prospective clinical trials addressing mechanical ventilation strategies in ARDS.
Keyphrases
- acute respiratory distress syndrome
- mechanical ventilation
- extracorporeal membrane oxygenation
- clinical trial
- computed tomography
- intensive care unit
- pulmonary hypertension
- cardiovascular events
- study protocol
- magnetic resonance imaging
- room temperature
- type diabetes
- positron emission tomography
- genome wide
- risk factors
- double blind
- gene expression
- current status
- carbon dioxide
- cross sectional
- adipose tissue
- phase ii
- contrast enhanced
- phase iii
- quantum dots
- data analysis
- open label