Evidence map›Paper›PMID 42001043›Full record

ArticleBMC infectious diseases2026

Development and validation of clinical phenotypes in sepsis-associated liver injury using multi-algorithm consensus classification: a retrospective cohort study.

Xiaoman Xie, ZhiXian Zhu, XinYu Cao, Qiong Pan, Dong Zhao, Jin Chai

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Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaoman XieDepartment of Gastroenterology, Institute of Digestive Diseases of PLA, The First Affiliated Hospital (Southwest Hospital) of Third Military Medical University (Army Medical University), Chongqing, 400038, China.
ZhiXian ZhuDepartment of Gastroenterology, Institute of Digestive Diseases of PLA, The First Affiliated Hospital (Southwest Hospital) of Third Military Medical University (Army Medical University), Chongqing, 400038, China.
XinYu CaoDepartment of Gastroenterology, Institute of Digestive Diseases of PLA, The First Affiliated Hospital (Southwest Hospital) of Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Qiong PanDepartment of Gastroenterology, Institute of Digestive Diseases of PLA, The First Affiliated Hospital (Southwest Hospital) of Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Dong ZhaoDepartment of Gastroenterology, Institute of Digestive Diseases of PLA, The First Affiliated Hospital (Southwest Hospital) of Third Military Medical University (Army Medical University), Chongqing, 400038, China. dong.zhao@cldcsw.org.
Jin ChaiDepartment of Gastroenterology, Institute of Digestive Diseases of PLA, The First Affiliated Hospital (Southwest Hospital) of Third Military Medical University (Army Medical University), Chongqing, 400038, China. jin.chai@cldcsw.org.ORCID http://orcid.org/0000-0002-8543-4566

Funding

National Natural Science Foundation of China 82450104Natural Science Foundation of Chongqing,China cstc2025jcyj-jqX008Open Project of Chongqing Engineering Research Center of Organ Intelligent Bio-Manufacturing CQERC-OIBM20241010
6 · The paper itself

Abstract

backgroundSepsis-associated liver injury (SALI) is a heterogeneous syndrome with high mortality and pathophysiological heterogeneity. Current prognostic models are limited in their ability to capture the heterogeneity in pathophysiology, highlighting the demand for improved stratification of patient subgroups and the development of personalized therapeutic strategies.

methodsWe performed a retrospective analysis of ICU patients diagnosed with SALI from 2001 to 2022. The research included 5,755 adult patients obtained from four databases, utilizing the eICU-CRD cohort (n = 3,893) for initial exploration and three independent cohorts (NWICU-1.0, MIMIC-III, MIMIC-IV; n = 1,862) for subsequent validation. We developed and utilized a novel Multi-algorithm Consensus-based Sepsis-Associated Liver Injury Classification (MCSALIC) method that integrates ten clustering algorithms. This technique identified four distinct SALI phenotypes. phenotypes were subsequently validated and characterized through XGBoost-based SHAP analysis and survival analysis, which elucidated essential distinguishing features and variability in treatment response.

resultsphenotypes A (47.9%, liver preservation), B (22.6%, hyperbilirubinemia), C (16.7%, hepatocellular dysfunction), and D (12.8%, cholestasis) were delineated. In the development cohort, phenotypes C and D had higher 30-day mortality rates than phenotype A (HR = 1.44 and 1.32, respectively). There was no significant difference between phenotypes A and B. In SALI, therapeutic responses were specific to phenotypes. Patients with phenotype A experienced advantages from early antibiotic treatment alongside moderate fluid resuscitation. Patients with phenotype B benefited from immediate antibiotics, limited fluids, and low-dose norepinephrine. Patients with phenotype C benefited from a moderate fluid range, low-dose norepinephrine, and relatively lenient antibiotic initiation. Patients with phenotype D benefited from high-volume fluid resuscitation, high-dose norepinephrine administration, and relatively lenient antibiotic timing.

conclusionsSALI consists of four distinct phenotypes, each characterized by unique pathophysiology, prognostic outcomes, and treatment responses. This stratification, strongly validated across international cohorts, sets the stage for precision medicine and calls into question the current one-size-fits-all approach to treatment. CLINICAL TIRAL NUMBER: Not applicable.

Indexed as

AlgorithmsLiver DiseasesSepsisAdultAgedClustering AlgorithmsFemaleHumansIntensive Care UnitsMaleMiddle AgedPhenotypePrognosisRetrospective StudiesMulti-algorithm consensus clusteringPhenotypeSALISepsis

Identifiers

PMID42001043
PMCPMC13224431

What Socratic holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.