Predicting alcohol-related liver disease across populations
Official title: Predicting Alcohol-Related Liver Disease Across Populations: Model Development and Validation
Funded at Kaiser Foundation Research Institute · NIH-11390689 · Data updated 2026-11-12
Aimed at identifying people at high risk for liver disease due to alcohol use by using patient information from electronic health records.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Kaiser Foundation Research Institute NIH-funded |
| Lab location | 1 site (Oakland, UNITED STATES) |
| Project start | August 5, 2026 |
| Project end | July 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $2,591,645 |
| NIH project number | 1R01AA033259-01 |
| Project ID | NIH-11390689 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with alcohol use disorder or unhealthy alcohol use who receive care within Kaiser Permanente Northern California and have available electronic health record data.
✕Less likely to help
Patients without access to participating health systems or without comprehensive EHR data may not benefit from the risk-prediction tools.
What this research studies
This project will build and test models that combine clinical and sociodemographic data to flag patients at high risk for ALD or MetALD. Researchers will gather input from doctors and people with alcohol use issues to understand real-world challenges in spotting liver risk early. The study takes place at Kaiser Permanente Northern California and uses existing medical records to develop prediction tools that could guide timely interventions. If successful, these tools could help clinicians offer earlier treatment or referrals to addiction services before symptoms appear.
Why it matters
Potential benefit: If the models work well, patients could receive earlier intervention to prevent severe liver disease and improve overall outcomes.
How similar studies have gone: Past work in risk prediction for liver disease using EHR data has shown promise, but this project emphasizes multi-method development and clinician/patient input.
Where this research is happening
-
Kaiser Foundation Research Institute
Oakland, United States Active
Researchers
- Principal investigator: Sterling, Stacy Ann — Kaiser Foundation Research Institute
- Study coordinator: Sterling, Stacy Ann
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.