Clustering COVID-19 ARDS patients through the first days of ICU admission. An analysis of the CIBERESUCICOVID Cohort Articles uri icon

authors

  • Ceccato, Adrian
  • LORENTE BALANZA, JOSE ANGEL

publication date

  • March 2024

start page

  • 91-1

end page

  • 91-12

volume

  • 28

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.

subjects

  • Biology and Biomedicine

keywords

  • ards; clustering; mortality; precision medicine