Literature DB >> 25936861

The impact of blood-borne viruses on cause-specific mortality among opioid dependent people: An Australian population-based cohort study.

Claire M Vajdic1, Sadaf Marashi Pour2, Sadaf Marashi Pour2, Jake Olivier3, Alexander Swart4, Dianne L O'Connell5, Michael O Falster6, Nicola S Meagher7, Limin Mao8, Andrew E Grulich9, Deborah A Randall10, Janaki Amin11, Lucinda Burns12, Louisa Degenhardt13.   

Abstract

BACKGROUND: Blood-borne viruses (BBV) are prevalent among people with opioid dependence but their association with cause-specific mortality has not been examined at the population-level.
METHODS: We formed a population-based cohort of 29,571 opioid substitution therapy (OST) registrants in New South Wales, Australia, 1993-2007. We ascertained notifications of infection and death by record linkage between the Pharmaceutical Drugs of Addiction System (OST data), registers of hepatitis C (HCV), hepatitis B (HBV) and human immunodeficiency virus (HIV) diagnoses, and the National Death Index. We used competing risks regression to quantify associations between notification for BBV infection and causes of death. BBV status, age, year, OST status, and OST episodes were modelled as time-dependent covariates; sex was a fixed covariate.
RESULTS: OST registrants notified with HCV infection were more likely to die from accidental overdose (subdistribution hazard ratio, 95% Confidence Interval: 1.7, 1.5-2.0), cancer (2.0, 1.3-3.2) and unintentional injury (1.4, 1.0-2.0). HBV notification was associated with a higher hazard of mortality due to unintentional injury (2.1, 1.1-3.9), cancer (2.8, 1.5-5.5), and liver disease (2.1, 1.0-4.3). Liver-related mortality was higher among those notified with HIV only (11, 2.5-50), HCV only (5.9, 3.2-11) and both HIV and HCV (15, 3.2-66). Registrants with an HIV notification had a higher hazard of cardiovascular-related mortality (4.0, 1.6-9.9).
CONCLUSIONS: Among OST registrants, BBVs are a direct cause of death and also a marker of behaviours that can result in unintended death. Ongoing and enhanced BBV prevention strategies and treatment, together with targeted education strategies to reduce risk, are justified.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Blood-borne viruses; Mortality; Opioid dependence; Opioid substitution therapy; Pharmacotherapy

Mesh:

Year:  2015        PMID: 25936861     DOI: 10.1016/j.drugalcdep.2015.03.026

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  6 in total

Review 1.  Hepatitis C virus and cardiovascular: A review.

Authors:  Salvatore Petta
Journal:  J Adv Res       Date:  2016-06-18       Impact factor: 10.479

Review 2.  Risk of Cardiovascular Disease Due to Chronic Hepatitis C Infection: A Review.

Authors:  Ahmed Babiker; Jean Jeudy; Seth Kligerman; Miriam Khambaty; Anoop Shah; Shashwatee Bagchi
Journal:  J Clin Transl Hepatol       Date:  2017-08-31

3.  Cardiovascular disease risk in patients with hepatitis C infection: Results from two general population health surveys in Canada and the United States (2007-2017).

Authors:  Alaa Badawi; Giancarlo Di Giuseppe; Paul Arora
Journal:  PLoS One       Date:  2018-12-12       Impact factor: 3.240

4.  Global burden of atherosclerotic cardiovascular disease in people with hepatitis C virus infection: a systematic review, meta-analysis, and modelling study.

Authors:  Kuan Ken Lee; Dominik Stelzle; Rong Bing; Mohamed Anwar; Fiona Strachan; Sophia Bashir; David E Newby; Jasmit S Shah; Michael H Chung; Gerald S Bloomfield; Chris T Longenecker; Shashwatee Bagchi; Shyamasundaran Kottilil; Sarah Blach; Homie Razavi; Peter R Mills; Nicholas L Mills; David A McAllister; Anoop S V Shah
Journal:  Lancet Gastroenterol Hepatol       Date:  2019-07-31

5.  Bayesian network modelling study to identify factors influencing the risk of cardiovascular disease in Canadian adults with hepatitis C virus infection.

Authors:  Alaa Badawi; Giancarlo Di Giuseppe; Alind Gupta; Abbey Poirier; Paul Arora
Journal:  BMJ Open       Date:  2020-05-05       Impact factor: 2.692

6.  A review of the use of time-varying covariates in the Fine-Gray subdistribution hazard competing risk regression model.

Authors:  Peter C Austin; Aurélien Latouche; Jason P Fine
Journal:  Stat Med       Date:  2019-10-29       Impact factor: 2.373

  6 in total

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