A predictive microsimulation model to estimate the clinical relevance of reducing alcohol consumption in alcohol dependence.

Abstract:

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.

journal_name

Eur Addict Res

authors

François C,Laramée P,Rahhali N,Chalem Y,Aballéa S,Millier A,Bineau S,Toumi M,Rehm J

doi

10.1159/000362408

subject

Has Abstract

pub_date

2014-01-01 00:00:00

pages

269-84

issue

6

eissn

1022-6877

issn

1421-9891

pii

000362408

journal_volume

20

pub_type

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