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Article

Machine learning-driven analysis of serum GDF15 trajectories identifies novel sepsis sub-phenotypes and predicts 28-day mortality.

Cytokine - 1 Aug 2026

Wang Qinxue, Wang Jiawei, Zhao Yuhan, Ma Yuanze, Ji Yong, Han Yi

Abstract excerpt

BACKGROUND: Sepsis heterogeneity complicates management and prognosis. Growth differentiation factor 15 (GDF15) may offer novel insights into sepsis sub-phenotyping. This study explored serum GDF15 trajectories for sub-phenotyping and prognostic stratification. METHODS: A multicenter prospective cohort (March-October 2023) enrolled sepsis patients from four Chinese ICUs. Serum GDF15 was measured on days 1, 3, and...

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Identifiers

PMID: 42190417
DOI: 10.1016/j.cyto.2026.157172

Genes

GDF15

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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