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Article

Parsimonious Subphenotyping Algorithms Perform Differently in Patients With Sepsis and Hematologic Malignancy.

Critical care medicine - 1 Dec 2025

Ronner Lukas, Giannini Heather M, Miano Todd A, Ittner Caroline A G, Turner Alexandra P, Dunn Thomas G, Agyekum Roseline S, Dasgupta Anushka, West Kirstin, Jones Tiffanie K, Shashaty Michael G S, Reilly John P, Meyer Nuala J

Abstract excerpt

OBJECTIVES: Latent class assignment-derived subphenotyping algorithms may identify treatment-responsive subgroups of critically ill patients with sepsis and acute respiratory distress syndrome. It is unclear if these algorithms are generalizable to patients with comorbid malignancy, a state which may perturb influential inflammatory biomarkers. This study aimed to test whether malignancy or neutropenia modified...

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Identifiers

PMID: 40637495
DOI: 10.1097/CCM.0000000000006774
PMCID: PMC12323692

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