Evidence map›Paper›PMID 40505959›Full record

ArticleJournal of advanced research2026

Multi-algorithm consensus classification identifies three distinct acute liver failure subtypes with differential treatment responses: a multi-database cohort study.

Ying Yang, Wei Yang, Bo Tang, Yang Li, Tao Zhang

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Article in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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4 citing papers in PubMed.

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5 · Who and what money

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5 authors.

Ying YangDepartment of Gastroenterology, Shengjing Hospital of China Medical University, 36 San-hao Street, Shenyang, Liaoning 110004, China.
Wei YangDepartment of Infectious Diseases, Shengjing Hospital of China Medical University, 36 San-hao Street, Shenyang, Liaoning 110004, China.
Bo TangSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yang LiDepartment of Blood Transfusion, Shengjing Hospital of China Medical University, 36 San-hao Street, Shenyang, Liaoning 110004, China. Electronic address: ly19870811@163.com.
Tao ZhangDepartment of Colorectal and Hernia Surgery, The Fourth Affiliated Hospital of China Medical University, 4 Chong-shan East Road, Shenyang, Liaoning 110032, China. Electronic address: emerson18500063@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute liver failure (ALF) is a heterogeneous syndrome with high mortality. Current prognostic models fail to capture pathophysiological heterogeneity, necessitating refined patient stratification and personalized therapeutic strategies.

methodsWe analyzed 2,691 adult patients with ALF from six international critical care databases (MIMIC-IV as discovery cohort, n = 1,227; five validation cohorts: MIMIC-III CareVue, eICU, HiRID, NWICU, and SICdb, n = 1,464). We developed a Multi-algorithm Consensus-based Acute Liver Failure Classification (MCALFC) approach integrating ten clustering algorithms to identify distinct subtypes based on clinical parameters, interventions, comorbidities, and medications. We validated these subtypes across databases, performed survival analyses, conducted SHAP analysis using XGBoost to identify key distinguishing features, and evaluated treatment response heterogeneity.

resultsThree robust ALF phenotypes emerged: Subtype 1 (28.3 %) - "critical hemodynamic collapse" with severe cardiovascular instability (MAP 78.9 mmHg, HR 113.5 bpm), highest illness severity (SAPS II: 62.0, SOFA: 12.2), and organ support requirements; Subtype 2 (44.6 %) - "cardiovascular dysfunction" with profound hypotension (MAP 69.1 mmHg) but low heart rate (84.3 bpm); and Subtype 3 (27.0 %) - "hyperacute hepatic necrosis" with preserved hemodynamics (MAP 99.4 mmHg) but severe hepatocellular injury (ALT 1059.8 U/L, AST 1427.3 U/L). Subtypes demonstrated distinct survival trajectories maintained through one-year follow-up (28-day mortality: Subtype 2 HR 0.48, 95 % CI: 0.40-0.59; Subtype 3 HR 0.39, 95 % CI: 0.31-0.50 vs. Subtype 1). Treatment responses varied significantly: epinephrine was harmful in Subtype 1 (OR 1.68) but protective in Subtypes 2 and 3 (OR 0.47, 0.34); dexmedetomidine benefited Subtype 3 (OR 0.26) but harmed Subtype 2 (OR 1.47); renal replacement therapy showed highest risk in Subtype 3 (OR 2.05).

conclusionALF comprises three distinct phenotypes with unique pathophysiological features, prognostic trajectories, and treatment responses. This phenotypic classification, validated across multiple international databases, provides a framework for precision medicine in ALF management and challenges the current one-size-fits-all treatment paradigm.

Indexed as

AlgorithmsLiver Failure, AcuteAdultCohort StudiesConsensusDatabases, FactualFemaleHumansMaleMiddle AgedPrognosisSeverity of Illness IndexAcute liver failure phenotypesCritical careMulti-algorithm consensus clusteringPrecision medicineTreatment response heterogeneity

Identifiers

PMID40505959
PMCPMC13000947

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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 OpenQuestion graph.