Predictors of poor outcomes in 488 patients with herb-induced liver injury

Area of Science:

• Hepatology
• Toxicology
• Internal Medicine

Background:

• Herb-induced liver injury (HILI) poses significant health risks, including chronic liver damage, transplantation, and mortality.
• Identifying predictors for poor HILI outcomes, particularly chronicity, is essential for patient management.

Purpose of the Study:

• To identify independent risk factors and develop a predictive model for chronic herb-induced liver injury (HILI).
• To compare the efficacy of novel predictive models against established scoring systems like MELD and Hy's Law for HILI prognosis.

Main Methods:

• Retrospective analysis of clinical data from 488 HILI patients treated at a Chinese center (January 2010 - January 2014).
• Logistic regression and C-statistic analysis were employed to identify risk factors and assess model performance.
• Development and validation of a prognostic model for chronic HILI based on identified independent risk factors.

Main Results:

• 69 (14.1%) patients developed chronic HILI, and 20 (4.1%) experienced fatal outcomes or liver transplantation.
• The Model for End-Stage Liver Disease (MELD) score demonstrated high accuracy in predicting fatal HILI prognosis (C-statistic 0.981).
• Independent risk factors for chronic HILI included longer latency, slower alanine aminotransferase normalization, lower peak triglyceride, and lower platelet count. A model based on these factors achieved a C-statistic of 0.812.

Conclusions:

• The MELD score is effective for predicting fatal HILI prognosis.
• Longer latency, slower recovery, and lower triglyceride and platelet counts are significant determinants for developing chronic HILI.
• A novel prognostic model incorporating latency, recovery speed, triglyceride, and platelet count offers superior prediction for chronic HILI compared to MELD and Hy's Law.