Severe Acute Respiratory Syndrome Coronavirus 2 Pneumonia in Critically Ill Patients: A Cluster Analysis According to Baseline Characteristics, Biological Features, and Chest CT Scan on Admission
Authors' conclusion
Three clusters with distinct characteristics and outcomes were identified.
Study context
- Population
- Consecutive adults (≥18 years) admitted to a medical ICU in Clermont-Ferrand, France, for COVID-19 pneumonia, March 2020–August 20214 clusters, 3 fully described
- Participants
- 270 adults
- Exposure
- Clusters defined by admission characteristics
- Outcome
- Day 60 mortality by cluster
- Follow-up
- Day 60
Methodological detailssingle-centre, cluster analysis (hierarchical clustering on principal components)
- Single-centre
- Cluster analysis (hierarchical clustering on principal components)
Main finding
As reported in the abstract
Hazard ratio (CI)P value
Cluster 1
0.27(0.15–0.46)
P < 0.01Cluster 2
2.07(1.37–3.13)
P < 0.01Cluster 3
1.52(1–2.32)
P = 0.05Observational data: associations, not effects.
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Severe Acute Respiratory Syndrome Coronavirus 2 Pneumonia in Critically Ill Patients: A Cluster Analysis According to Baseline Characteristics, Biological Features, and Chest CT Scan on Admission. Crit Care Med. Published 27 October 2023. doi:10. 1097/ ccm. 0000000000006105
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