Lab tests can be used to predict phosphatidylethanolmeasured high-risk alcohol use among people with HIV:
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Alcohol and Alcoholism
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Background: Unhealthy alcohol use is prevalent among persons with HIV (PWH) and is associated with adverse outcomes, but is underestimated partly due to use of self-reported measures prone to underreporting. Phosphatidyl ethanol (PEth) is a direct measure of past month alcohol consumption but is costly. We assessed whether lab and health data representing alcohol-associated physiologic changes could be leveraged with machine learning to predict PEth-measured high-risk alcohol use among PWH. Methods: We pooled baseline data from two studies among PWH in Uganda that measured PEth (N = 988), and classified PEth as no/low/moderate (Peth)
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Espinosa da Silva, C., Scheffler, A., Fatch, R., Muyindike, W., Emenyonu, N. I., Adong, J., ... & Drinkers’ Intervention to Prevent Tuberculosis (DIPT) Study and the Alcohol Drinkers’ Exposure to Preventive Therapy for TB (ADEPT-T) Study. (2026). Lab tests can be used to predict phosphatidylethanol-measured high-risk alcohol use among people with HIV: a proof-of-concept using machine learning. Alcohol and Alcoholism, 61(1), agaf078.
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Except where otherwised noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States