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Article

Microvascular phenotypes in pediatric sepsis identified by machine learning: prognostic implications for organ dysfunction and mortality.

Critical care (London, England) - 5 Feb 2026

Beltrán Juan Carlos, Fernández-Sarmiento Jaime, Orjuela-Cañón Alvaro David, Sanchez-Pinto L Nelson, Fernández-Sarta Juan Pablo, Rotta Isabella La, Fernández-Sarta Daniel, Coutin Alejandro, Godoy Juan Esteban, Vink Hans, Raman Sainath, Kissoon Niranjan

Abstract excerpt

BACKGROUND : Pediatric sepsis exhibits marked heterogeneity. Early integration of clinical, biomarker, and microcirculatory data may refine risk stratification and identify reproducible phenotypes associated with distinct outcomes. METHODS: We performed a secondary analysis of a prospective sepsis cohort (2018–2024). A temporal split defined derivation (2018–2022) and validation (2023–2024) cohorts, including...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41645301
DOI: 10.1186/s13054-025-05785-x
PMCID: PMC12874729

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

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