Related Experiment Video
Updated: Oct 3, 2025
A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
Published on: September 30, 2021
The Mortality Index for Alcohol-Associated Hepatitis: A Novel Prognostic Score
Camille A Kezer1, Seth M Buryska2, Joseph C Ahn2
1Department of Internal Medicine, Mayo Clinic, Rochester, MN.
Insights
A new scoring system, the Mortality Index for Alcohol-Associated Hepatitis (MIAAH), accurately predicts short-term mortality in patients with alcohol-associated hepatitis (AH). MIAAH shows improved accuracy over existing models for identifying high-risk patients.
Area of Science:
- Hepatology
- Internal Medicine
- Biostatistics
Background:
- Alcohol-associated hepatitis (AH) is a severe liver condition with significant short-term mortality.
- Current prognostic models for AH have limitations in accurately predicting patient outcomes.
- There is a need for improved tools to identify patients at high risk of 30-day mortality.
Purpose of the Study:
- To develop and validate a novel scoring system for predicting 30-day mortality in patients with alcohol-associated hepatitis.
- To compare the performance of the new scoring system against existing prognostic models.
Main Methods:
- A retrospective cohort of 266 adult patients with AH was used for model derivation.
- Multivariate logistic regression identified key predictors of mortality.
- External validation was performed on a separate multicenter cohort of 249 patients.
Main Results:
- The developed scoring system, the Mortality Index for Alcohol-Associated Hepatitis (MIAAH), includes age, blood urea nitrogen, albumin, bilirubin, and international normalized ratio.
- In the derivation cohort, MIAAH achieved a C statistic of 0.86, outperforming existing models like MELD and Maddrey.
- In the validation cohort, MIAAH had a C statistic of 0.73, superior to Maddrey and comparable to MELD.
Conclusions:
- The MIAAH score is a valuable tool for predicting 30-day mortality in AH patients.
- MIAAH demonstrates comparable or superior accuracy to existing scores in identifying high-risk individuals.
- This new score can aid in clinical decision-making and patient management for alcohol-associated hepatitis.
Objective:
To develop a new scoring system that more accurately predicts 30-day mortality in patients with alcohol-associated hepatitis (AH).
Methods:
A cohort of consecutive adults diagnosed with AH at a single academic center from January 1, 1998, to December 31, 2018, was identified for model derivation. Multivariate logistic regression was used to create a new scoring system to predict 30-day mortality. External validation of this score was performed on a multicenter retrospective cohort.
Results:
In the derivation cohort of 266 patients, the 30-day mortality rate was 19.2%. The following variables were found to be significantly associated with mortality on multivariate analysis: age (P=.002), blood urea nitrogen (P=.003), albumin (P=.01), bilirubin (P=.02), and international normalized ratio (P=.001). A model incorporating these variables, entitled the Mortality Index for Alcohol-Associated Hepatitis (MIAAH), achieved a C statistic of 0.86. Comparison of the accuracy of the MIAAH to existing prognostic models, including the Model for End-Stage Liver Disease and Maddrey Discriminant Function, showed that the highest concordance was achieved by the MIAAH and that this difference was significant. In the validation cohort of 249 patients, the MIAAH C statistic decreased to 0.73 and was found to be significantly superior to the Maddrey Discriminant Function but not to the Model for End-Stage Liver Disease.
Conclusion:
The MIAAH competes with the current prognostication models and is at a minimum as accurate as these existing scores in identifying patients with AH at high risk of short-term mortality. Furthermore, the MIAAH demonstrates advantageous performance characteristics in its ability to increasingly accurately dichotomize patients into those at highest risk of death and those likely to survive.
