Background & Aims There is no histologic classification system to determine prognoses of patients with alcoholic hepatitis (AH). We identified histologic features associated with disease severity and created a histologic scoring system to predict short-term (90 day) mortality. Methods We analyzed data from 121 patients admitted to the Liver Unit (Hospital Clinic, Barcelona, Spain) from January 2000 through January 2008 with features of AH, and developed a histologic scoring system to determine risk of death using logistic regression. The system was tested and updated in a test set of 96 patients from 5 academic centers in the US and Europe, and a semi-quantitative scoring system was developed, called the alcoholic hepatitis histologic score (AHHS). The system was validated in an independent set of 109 patients. Inter-observer agreement was evaluated by weighted statistic analysis. Results Degree of fibrosis, neutrophil infiltration, type of bilirubinostasis, and presence mega-mitochondria were independently associated with 90 day mortality. We used these 4 parameters to develop the AHHS to identify patients with low (0–3 points), moderate (4–5 points), and high (6–9 points) risks of death within 90 days (3%, 19%, and 51%, respectively; P<.0001). The AHHS estimated 90 day mortality in the training and test sets with an area under the receiver operating characteristic value of 0.77 (95% confidence interval, 0.71–0.83). Inter-rate agreement values were 0.65 for fibrosis, 0.86 for bilirubinostasis, 0.60 for neutrophil infiltration, and 0.46 for megamitochondria. Interestingly, the type of bilirubinostasis predicted the development of bacterial infections. Conclusions We identified histologic features associated with severity of AH and developed a patient classification system that might be used in clinical decision making.

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The ABIC score is a new tool that allows the stratification of risk of death in patients with AH at 90 days and 1 yr. This score can help improve the management of these patients and also help to perform clinical trials.