Clustering COVID-19 ARDS patients through the first days of ICU admission. An analysis of the CIBERESUCICOVID Cohort
Articles
Overview
published in
- CRITICAL CARE Journal
publication date
- March 2024
start page
- 91-1
end page
- 91-12
volume
- 28
Digital Object Identifier (DOI)
International Standard Serial Number (ISSN)
- 1364-8535
Electronic International Standard Serial Number (EISSN)
- 1466-609X
abstract
- Acute respiratory distress syndrome (ARDS) can be classified into sub-phenotypes according to different inflammatory/clinical status. Prognostic enrichment was achieved by grouping patients into hypoinflammatory or hyperinflammatory sub-phenotypes, even though the time of analysis may change the classification according to treatment response or disease evolution. We aimed to evaluate when patients can be clustered in more than 1 group, and how they may change the clustering of patients using data of baseline or day 3, and the prognosis of patients according to their evolution by changing or not the cluster.
Classification
subjects
- Biology and Biomedicine
keywords
- ards; clustering; mortality; precision medicine