The effects of opiate use and hepatitis C virus infection on risk of diabetes mellitus in the Women's Interagency HIV Study

J Acquir Immune Defic Syndr. 2010 Jun;54(2):152-9. doi: 10.1097/QAI.0b013e3181d0c911.

Abstract

Background: Opiate use is common in HIV-infected and hepatitis C virus (HCV)-infected individuals, however, its contribution to the risk of diabetes mellitus is not well understood.

Methods: Prospective study of 1713 HIV-infected and 652 HIV-uninfected participants from the Women's Interagency HIV Study between October 2000 and March 2006. Diabetes defined as fasting glucose > or =126 mg/dL, self report of diabetes medication use, or confirmed diabetes diagnosis. Opiate use determined using an interviewer-administered questionnaire. Detectable plasma HCV RNA confirmed HCV infection.

Results: Current opiate users had a higher prevalence of diabetes (15%) than nonusers (10%, P = 0.03), and a higher risk of incident diabetes (adjusted relative hazard: 1.58, 95% confidence interval: 1.01 to 2.46), after controlling for HCV infection, HIV/antiretroviral therapy status, and diabetes risk factors including age, race/ethnicity, family history of diabetes, and body mass index. HCV infection was also an independent risk factor for diabetes (adjusted relative hazard: 1.61, 95% confidence interval: 1.02 to 2.52). HCV-infected women reporting current opiate use had the highest diabetes incidence (4.83 cases per 100 person-years).

Conclusions: Among women with or at-risk for HIV, opiate use is associated with increased diabetes risk independently of HCV infection. Diabetic screening should be part of care for opiate users and those infected with HCV.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Age Factors
  • Analgesics, Opioid / adverse effects*
  • Blood Glucose / analysis
  • Confidence Intervals
  • Diabetes Mellitus / etiology*
  • Diabetes Mellitus / virology
  • Female
  • HIV Infections / complications*
  • Hepatitis C / complications*
  • Humans
  • Incidence
  • Logistic Models
  • Middle Aged
  • Odds Ratio
  • Opioid-Related Disorders / complications*
  • Prevalence
  • Proportional Hazards Models
  • Prospective Studies
  • Risk Factors

Substances

  • Analgesics, Opioid
  • Blood Glucose

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