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

Eur Addict Res. 2014;20(6):269-84. doi: 10.1159/000362408. Epub 2014 Sep 16.

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.

MeSH terms

  • Adult
  • Alcohol Drinking / adverse effects
  • Alcohol Drinking / prevention & control*
  • Alcohol-Related Disorders / etiology
  • Alcohol-Related Disorders / prevention & control*
  • Alcoholism / complications
  • Alcoholism / rehabilitation*
  • Computer Simulation
  • England
  • Female
  • Harm Reduction*
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Models, Theoretical
  • Naltrexone / analogs & derivatives*
  • Naltrexone / therapeutic use
  • Narcotic Antagonists / therapeutic use*
  • Wounds and Injuries / etiology
  • Wounds and Injuries / prevention & control*

Substances

  • Narcotic Antagonists
  • Naltrexone
  • nalmefene