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Steroids or pentoxifylline for alcoholic hepatitis (STOPAH): study protocol for a randomised controlled trial.
Ewan Forrest1, Jane Mellor, Louise Stanton
1Hepatology Section, Imperial College, Norfolk Place, London, Paddington W2 1NY, UK. m.thursz@imperial.ac.uk.
This study investigates if corticosteroids or pentoxifylline improve survival in severe alcoholic hepatitis. The STOPAH trial will determine the effectiveness of these treatments for alcohol-related liver disease.
Area of Science:
- Hepatology
- Clinical Trials
- Pharmacology
Background:
- Alcoholic hepatitis is a severe form of alcohol-related liver disease with high mortality.
- Current treatment options, corticosteroids and pentoxifylline, have controversial or unconfirmed efficacy.
- Severe alcoholic hepatitis, defined by Maddrey's discriminant function ≥32, has a 28-day mortality rate of approximately 35%.
Purpose of the Study:
- To definitively evaluate the efficacy of corticosteroids and pentoxifylline in treating severe alcoholic hepatitis.
- To resolve existing controversies regarding the therapeutic benefits of these two interventions.
- To provide robust evidence for clinical practice guidelines in managing alcoholic hepatitis.
Main Methods:
- The Study of the Treatment of Alcoholic Hepatitis (STOPAH) is a multicentre, double-blind, factorial (2x2) trial.
- 1,200 patients with severe alcoholic hepatitis were randomized into four groups: placebo/placebo, placebo/prednisolone, pentoxifylline/placebo, or pentoxifylline/prednisolone.
- Primary endpoint is 28-day mortality; secondary endpoints include 90-day and 1-year mortality.
Main Results:
- Results are pending as the study aims to randomize 1,200 patients.
- The factorial design allows for parallel evaluation of two treatments.
- Sufficient statistical power is planned to determine treatment effectiveness.
Conclusions:
- The STOPAH trial is designed to be a definitive study on alcoholic hepatitis treatments.
- Eligibility criteria are based on clinical parameters, aligning with standard practice.
- The factorial design ensures efficient use of patient numbers for high statistical power.
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