ArticleJournal of advanced research2026
Multi-algorithm consensus classification identifies three distinct acute liver failure subtypes with differential treatment responses: a multi-database cohort study.
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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4 citing papers in PubMed.
- Clinical Subphenotypes and Short-Term Outcomes in PICU Patients Receiving Continuous Blood Purification.Critical care explorations · 2026Article
- Development and validation of clinical phenotypes in sepsis-associated liver injury using multi-algorithm consensus classification: a retrospective cohort study.BMC infectious diseases · 2026Article
- From a Multi-Omics Signature to a Therapeutic Candidate: Computational Prediction and Experimental Validation in Liver Fibrosis.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Early peripheral monocyte dynamics are associated with 28-day mortality in acute liver failure: an exploratory longitudinal cohort study.Frontiers in medicine · 2026Article
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5 authors.
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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.
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