Literature DB >> 26141511

An analysis of moderators in the COMBINE study: Identifying subgroups of patients who benefit from acamprosate.

Ralitza Gueorguieva1, Ran Wu2, Wan-Min Tsai3, Patrick G O'Connor4, Lisa Fucito2, Heping Zhang3, Stephanie S O'Malley2.   

Abstract

The goal of the current study was to use tree-based methods to identify moderators of acamprosate effect on abstinence from heavy drinking in COMBINE, the largest study of pharmacotherapy for alcoholism in the United States to date. We used three different tree-based methods for identification of subgroups with enhanced treatment response on acamprosate based on over 100 predictors measured at baseline in COMBINE. No heavy drinking during the last two months of treatment was the considered outcome. All three methods identified consecutive days of abstinence prior to treatment as the most important moderator of treatment effect. Acamprosate was beneficial for participants with shorter abstinence (1 week or less) especially when body mass index was low or normal. In this group, 46% of participants receiving active acamprosate abstained from heavy drinking compared to 23% of those receiving placebo acamprosate. Prior treatment, age, drinking goal and cognitive inefficiency were identified as moderators of acamprosate effects by one of the three methods. In conclusion, acamprosate may be beneficial for participants with shorter abstinence who are not overweight or obese. One hypothesis for this finding is that this subgroup may have greater glutamatergic hyperactivity, a target of acamprosate, and may achieve better drug plasma levels based on their lower BMI. In contrast, those with extended pretreatment abstinence who have an otherwise good prognosis did not benefit from acamprosate. Further validation of the results in independent data sets is necessary.
Copyright © 2015 Elsevier B.V. and ECNP. All rights reserved.

Entities:  

Keywords:  Alcohol dependence; Classification and regression trees; Clinical trials; Moderator effects; Subgroups with enhanced treatment effect

Mesh:

Substances:

Year:  2015        PMID: 26141511      PMCID: PMC4600651          DOI: 10.1016/j.euroneuro.2015.06.006

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  47 in total

Review 1.  Mediators and moderators of treatment effects in randomized clinical trials.

Authors:  Helena Chmura Kraemer; G Terence Wilson; Christopher G Fairburn; W Stewart Agras
Journal:  Arch Gen Psychiatry       Date:  2002-10

2.  The Structured Clinical Interview for DSM-III-R (SCID). I: History, rationale, and description.

Authors:  R L Spitzer; J B Williams; M Gibbon; M B First
Journal:  Arch Gen Psychiatry       Date:  1992-08

3.  Stages of change profiles in outpatient alcoholism treatment.

Authors:  C C DiClemente; S O Hughes
Journal:  J Subst Abuse       Date:  1990

4.  Assessment of alcohol withdrawal: the revised clinical institute withdrawal assessment for alcohol scale (CIWA-Ar).

Authors:  J T Sullivan; K Sykora; J Schneiderman; C A Naranjo; E M Sellers
Journal:  Br J Addict       Date:  1989-11

5.  A global measure of perceived stress.

Authors:  S Cohen; T Kamarck; R Mermelstein
Journal:  J Health Soc Behav       Date:  1983-12

6.  Alcohol dependence syndrome: measurement and validation.

Authors:  H A Skinner; B A Allen
Journal:  J Abnorm Psychol       Date:  1982-06

Review 7.  Treatment of alcohol-dependent outpatients with acamprosate: a clinical review.

Authors:  B J Mason
Journal:  J Clin Psychiatry       Date:  2001       Impact factor: 4.384

8.  The Alcohol Abstinence Self-Efficacy scale.

Authors:  C C DiClemente; J P Carbonari; R P Montgomery; S O Hughes
Journal:  J Stud Alcohol       Date:  1994-03

9.  Commitment to abstinence and acute stress in relapse to alcohol, opiates, and nicotine.

Authors:  S M Hall; B E Havassy; D A Wasserman
Journal:  J Consult Clin Psychol       Date:  1990-04

10.  Testing combined pharmacotherapies and behavioral interventions in alcohol dependence: rationale and methods.

Authors: 
Journal:  Alcohol Clin Exp Res       Date:  2003-07       Impact factor: 3.455

View more
  5 in total

1.  Drinking Risk Level Reductions Associated with Improvements in Physical Health and Quality of Life Among Individuals with Alcohol Use Disorder.

Authors:  Katie Witkiewitz; Henry R Kranzler; Kevin A Hallgren; Stephanie S O'Malley; Daniel E Falk; Raye Z Litten; Deborah S Hasin; Karl F Mann; Raymond F Anton
Journal:  Alcohol Clin Exp Res       Date:  2018-11-05       Impact factor: 3.455

2.  Differences between treatment-seeking and non-treatment-seeking participants in medication studies for alcoholism: do they matter?

Authors:  Lara A Ray; Spencer Bujarski; Megan M Yardley; Daniel J O Roche; Emily E Hartwell
Journal:  Am J Drug Alcohol Abuse       Date:  2017-04-20       Impact factor: 3.829

3.  Reward and relief dimensions of temptation to drink: construct validity and role in predicting differential benefit from acamprosate and naltrexone.

Authors:  Corey R Roos; Karl Mann; Katie Witkiewitz
Journal:  Addict Biol       Date:  2016-08-02       Impact factor: 4.280

4.  A modified classification tree method for personalized medicine decisions.

Authors:  Wan-Min Tsai; Heping Zhang; Eugenia Buta; Stephanie O'Malley; Ralitza Gueorguieva
Journal:  Stat Interface       Date:  2016       Impact factor: 0.582

5.  Metabolomics biomarkers to predict acamprosate treatment response in alcohol-dependent subjects.

Authors:  David J Hinton; Marely Santiago Vázquez; Jennifer R Geske; Mario J Hitschfeld; Ada M C Ho; Victor M Karpyak; Joanna M Biernacka; Doo-Sup Choi
Journal:  Sci Rep       Date:  2017-05-31       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.