ArticleJGH open : an open access journal of gastroenterology and hepatology2023
Assessment of immune function and prediction of survival and infection in patients with severe alcoholic hepatitis: An exploratory study.
Article in JGH open : an open access journal of gastroenterology and hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Bacterial Infections in Patients With Severe Alcohol-Associated Hepatitis: Drivers of Organ Failure and Mortality.Liver international : official journal of the International Association for the Study of the Liver · 2025Trial
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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Abstract
Background and Aim: Alcoholic hepatitis (AH), a severe complication of long-term alcohol misuse, has a 30% 90-day mortality. Infections are common and associated with higher mortality. There is currently no accurate method to predict infection in these patients. We aimed to test a measure of immune function, the QuantiFERON Monitor (QFM), in predicting clinical outcomes in patients with severe AH. Methods: Peripheral blood was taken at baseline, and QFM performed according to the manufacturer's instructions. In parallel, QFM samples were analyzed with a cytokine multiplex. Clinical outcomes of mortality at 28 and 90 days and development of infection were recorded prospectively. Results: Forty-nine patients were recruited (mean age 51, 59% male and mean discriminant function 57.8). Interferon (IFN)-γ release measured by standard QFM was significantly higher in survivors compared to non-survivors at 28 (102 Conclusion: Immune dysfunction is associated with poorer outcomes in patients with severe AH. Measurement of IFN-γ release by standard QFM accurately predicts early mortality, which can be applied to clinical practice as a biomarker of survival. Adaptation of the test to measure IL-10 could be used as a biomarker of subsequent infection to guide clinical treatment decisions.
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