Uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes
Authors' conclusion
Among critically ill patients with sepsis, subtype strategies using clinical, biomarker, and transcriptomic data do not identify comparable patient populations and are likely to reflect disparate clinical characteristics and underlying biology.
Study context
- Population
- Critically ill patients with sepsis
- Participants
- 522 patients
- Comparison
- Concordance of four previously established sepsis subtype strategies
- Primary endpoint
- Concordance of patients classified by four previously described subtype strategies
Methodological detailsmulticenter
- Multicenter
Primary result
As reported in the abstract
Concordance between subtyping approaches
No clear relationship between any of the subtyping approaches (Cramer's V)
0.086-0.456
Mars2 and SRS1 most alike in host response biomarkers (p)
0.079-0.424
Further findings
Most common subtype in each strategy · γ higher compared to the original classification
Host response biomarkers
- Mars2 and SRS1 most alike in host response biomarkers; other subtype strategies showed no clear relationship
- P = 0.079-0.424
Patients enriched for multiple subtypes (sepsis ensembles)
- Characteristics and outcomes differ dependent on the combination of subtypes
Original publication
Uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes. Intensive Care Med. Published 18 October 2023. doi:10.
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