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• W2989019811 abstract "Abstract Artificial liver support systems (ALSS) are widely used to treat patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). The aims of the present study were to investigate the subgroups of patients with HBV-ACLF who may benefit from ALSS therapy, and the relevant patient-specific factors. 489 ALSS-treated HBV-ACLF patients were enrolled, and served as derivation and validation cohorts for classification and regression tree (CART) analysis. CART analysis identified three factors prognostic of survival: hepatic encephalopathy (HE), prothrombin time (PT), and total bilirubin (TBil) level; and two distinct risk groups: low (28-day mortality 10.2–39.5%) and high risk (63.8–91.1%). The CART model showed that patients lacking HE and with a PT ≤ 27.8 s and a TBil level ≤455 μmol/L experienced less 28-day mortality after ALSS therapy. For HBV-ACLF patients with HE and a PT > 27.8 s, mortality remained high after such therapy. Patients lacking HE with a PT ≤ 27.8 s and TBil level ≤ 455 μmol/L may benefit markedly from ALSS therapy. For HBV-ACLF patients at high risk, unnecessary ALSS therapy should be avoided. The CART model is a novel user-friendly tool for screening HBV-ACLF patient eligibility for ALSS therapy, and will aid clinicians via ACLF risk stratification and therapeutic guidance." @default.
• W2989019811 created "2019-11-22" @default.
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• W2989019811 date "2019-11-11" @default.
• W2989019811 modified "2023-10-14" @default.
• W2989019811 title "Artificial liver support system therapy in acute-on-chronic hepatitis B liver failure: Classification and regression tree analysis" @default.
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• W2989019811 doi "https://doi.org/10.1038/s41598-019-53029-0" @default.
• W2989019811 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6848208" @default.
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• W2989019811 hasPublicationYear "2019" @default.
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