Literature DB >> 27692192

Mortality Rates Among Substance Use Disorder Participants in Clinical Trials: Pooled Analysis of Twenty-Two Clinical Trials Within the National Drug Abuse Treatment Clinical Trials Network.

Robert Lindblad1, Lian Hu1, Neal Oden1, Paul Wakim2, Carmen Rosa3, Paul VanVeldhuisen1.   

Abstract

BACKGROUND: Most substance use disorders (SUD) treatment clinical trials are too short and small to reliably estimate the incidence of rare events like death.
OBJECTIVE: The aim of this study is to estimate the overall mortality rates among a SUD treatment-seeking population by pooling participants from multiple clinical trials conducted through the National Institute on Drug Abuse (NIDA)-sponsored National Drug Abuse Treatment Clinical Trials Network (CTN). PARTICIPANTS: Drug and or alcohol users (N=9866) who sought treatment and participated in one of the twenty-two CTN trials. MEASUREMENTS: Data were collected through randomized clinical trials in national community treatment programs for SUD. Pooled analysis was performed to assess age- and gender-standardized mortality rate(s) (SM rate(s)), and mortality ratio(s) (SM ratio(s)) of CTN trial participants compared to the U.S. general population.
RESULTS: The age- and gender-SM rate among CTN trials participants was 1403 (95% CI: 862-2074) per 100,000 person years (PY) compared to 542 (95% CI: 541-543) per 100,000 PY among the U.S. general population in 2005. By gender, age-adjusted SM ratio for female CTN trial participants was over five times (SM ratio=5.35, 95% CI: 3.31-8.19)), and for male CTN trial participants, it was over three times (SM ratio=3.39, 95% CI: 2.25-4.90) higher than their gender comparable peers in the U.S. general population.
CONCLUSIONS: Age and gender-standardized mortality rates and ratios among NIDA CTN SUD treatment-seeking clinical trial participants are higher than the age and gender comparable U.S. general population. The overall mortality rates of CTN trial participants are similar to in-treatment mortality reported in large U.S. and non-U.S. cohorts of opioid users. Future analysis with additional CTN trial participants and risk times will improve the stability of estimates, especially within subgroups based on primary substance of abuse. These SUD mortality rates can be used to facilitate safety monitoring within SUD clinical trials.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical trial; Pooled analysis; Standardized mortality rate; Standardized mortality ratio; Substance use disorder

Mesh:

Year:  2016        PMID: 27692192      PMCID: PMC5117359          DOI: 10.1016/j.jsat.2016.08.010

Source DB:  PubMed          Journal:  J Subst Abuse Treat        ISSN: 0740-5472


  37 in total

1.  A prospective study of mortality among drug misusers during a 4-year period after seeking treatment.

Authors:  Michael Gossop; Duncan Stewart; Samantha Treacy; John Marsden
Journal:  Addiction       Date:  2002-01       Impact factor: 6.526

2.  Mortality among individuals with cannabis, cocaine, amphetamine, MDMA, and opioid use disorders: a nationwide follow-up study of Danish substance users in treatment.

Authors:  Mikkel Arendt; Povl Munk-Jørgensen; Leo Sher; Signe O W Jensen
Journal:  Drug Alcohol Depend       Date:  2010-10-25       Impact factor: 4.492

3.  The potential impact of recruitment method on sample characteristics and treatment outcomes in a psychosocial trial for women with co-occurring substance use disorder and PTSD.

Authors:  Theresa Winhusen; Erin L Winstanley; Eugene Somoza; Gregory Brigham
Journal:  Drug Alcohol Depend       Date:  2011-07-12       Impact factor: 4.492

4.  Opioid overdose mortality in Australia, 1964-1997: birth-cohort trends.

Authors:  W D Hall; L J Degenhardt; M T Lynskey
Journal:  Med J Aust       Date:  1999-07-05       Impact factor: 7.738

5.  Mortality in heroin-assisted treatment in Switzerland 1994-2000.

Authors:  Jürgen Rehm; Ulrich Frick; Christina Hartwig; Felix Gutzwiller; Patrick Gschwend; Ambros Uchtenhagen
Journal:  Drug Alcohol Depend       Date:  2005-02-26       Impact factor: 4.492

6.  Injection behaviors among injection drug users in treatment: the role of hepatitis C awareness.

Authors:  P Todd Korthuis; Daniel J Feaster; Zoilyn L Gomez; Moupali Das; Susan Tross; Katharina Wiest; Antoine Douaihy; Raul N Mandler; James L Sorensen; Grant Colfax; Dennis McCarty; Stephanie E Cohen; Patricia E Penn; Diane Lape; Lisa R Metsch
Journal:  Addict Behav       Date:  2011-12-14       Impact factor: 3.913

7.  Comparison of 2 methods for calculating adjusted survival curves from proportional hazards models.

Authors:  W A Ghali; H Quan; R Brant; G van Melle; C M Norris; P D Faris; P D Galbraith; M L Knudtson
Journal:  JAMA       Date:  2001-09-26       Impact factor: 56.272

8.  Rates and correlates of mortality amongst heroin users: findings from the Australian Treatment Outcome Study (ATOS), 2001-2009.

Authors:  Shane Darke; Katherine L Mills; Joanne Ross; Maree Teesson
Journal:  Drug Alcohol Depend       Date:  2010-12-03       Impact factor: 4.492

9.  Death rates and causes of death among opioid addicts in community drug treatment programs during 1970-1973.

Authors:  O Watterson; D D Simpson; S B Sells
Journal:  Am J Drug Alcohol Abuse       Date:  1975       Impact factor: 3.829

10.  Principles for defining adverse events in behavioral intervention research: lessons from a family-focused adolescent drug abuse trial.

Authors:  Viviana E Horigian; Michael S Robbins; Roberto Dominguez; Jessica Ucha; Carmen L Rosa
Journal:  Clin Trials       Date:  2010-02       Impact factor: 2.486

View more
  6 in total

1.  Supporting Providers After Drug Overdose Death.

Authors:  Amy M Yule; Frances R Levin
Journal:  Am J Psychiatry       Date:  2019-03-01       Impact factor: 18.112

Review 2.  Sex and gender differences in substance use disorders.

Authors:  R Kathryn McHugh; Victoria R Votaw; Dawn E Sugarman; Shelly F Greenfield
Journal:  Clin Psychol Rev       Date:  2017-11-10

3.  Drug abuse-associated mortality across the lifespan: a population-based longitudinal cohort and co-relative analysis.

Authors:  Kenneth S Kendler; Henrik Ohlsson; Kristina Sundquist; Jan Sundquist
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2017-05-26       Impact factor: 4.328

4.  Traumatic Events and Substance Use Disorders in Adolescents.

Authors:  Lukas A Basedow; Sören Kuitunen-Paul; Veit Roessner; Yulia Golub
Journal:  Front Psychiatry       Date:  2020-06-18       Impact factor: 4.157

5.  Using a Syndemics Framework to Understand How Substance Use Contributes to Morbidity and Mortality among People Living with HIV in Africa: A Call to Action.

Authors:  Emmanuel Peprah; Bronwyn Myers; Andre-Pascal Kengne; Nasheeta Peer; Omar El-Shahawy; Temitope Ojo; Barbara Mukasa; Oliver Ezechi; Juliet Iwelunmor; Nessa Ryan; Fatoumata Sakho; John Patena; Joyce Gyamfi
Journal:  Int J Environ Res Public Health       Date:  2022-01-19       Impact factor: 3.390

6.  Diagnostic Accuracy of the Drug Use Disorder Identification Test and Its Short Form, the DUDIT-C, in German Adolescent Psychiatric Patients.

Authors:  Lukas A Basedow; Sören Kuitunen-Paul; Anna Eichler; Veit Roessner; Yulia Golub
Journal:  Front Psychol       Date:  2021-06-04
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.