TY - JOUR PY - 2014// TI - A predictive microsimulation model to estimate the clinical relevance of reducing alcohol consumption in alcohol dependence JO - European addiction research A1 - François, Clément A1 - Laramée, Philippe A1 - Rahhali, Nora A1 - Chalem, Ylana A1 - Aballéa, Samuel A1 - Millier, Aurélie A1 - Bineau, Sébastien A1 - Toumi, Mondher A1 - Rehm, Jürgen SP - 269 EP - 284 VL - 20 IS - 6 N2 - BACKGROUND: Alcohol consumption is one of the most important factors for disease and disability in Europe. In clinical trials, nalmefene has resulted in a significant reduction in the number of heavy-drinking days (HDDs) per month and total alcohol consumption (TAC) among alcohol-dependent patients versus placebo.

METHODS: A microsimulation model was developed to estimate alcohol-attributable diseases and injuries in patients with alcohol dependence and to explore the clinical relevance of reducing alcohol consumption.

RESULTS: For all diseases and injuries considered, the number of events (inpatient episodes) increased with the number of HDDs and TAC per year. The model predicted that a reduction of 20 HDDs per year would result in 941 fewer alcohol-attributable events per 100,000 patients, while a reduction in intake of 3,000 g/year of pure alcohol (ethanol) would result in 1,325 fewer events per 100,000 patients.

CONCLUSION: The potential gains of reducing consumption in alcohol-dependent patients were considerable. © 2014 S. Karger AG, Basel.

Language: en

LA - en SN - 1022-6877 UR - http://dx.doi.org/10.1159/000362408 ID - ref1 ER -