@article {1808,
	title = {Risk of diabetes in HIV infected veterans pre- and post-HAART and the role of HCV coinfection.},
	journal = {Hepatology (Baltimore, Md.)},
	volume = {40},
	year = {2004},
	month = {2004 Jul},
	pages = {115-9},
	abstract = {We examined the association of hepatitis C virus (HCV) infection with diabetes in veterans infected with human immunodeficiency virus (HIV) before and after the institution of highly active antiretroviral therapy (HAART). The role of age, race, liver disease, alcohol, and drug diagnoses upon the risk of diabetes was also determined. Male veterans with HIV who entered care between 1992 and 2001 were identified from the Veterans Affairs (VA) administrative database. Demographic and disease data were extracted. Kaplan-Meier curves were plotted to determine the incidence of diabetes. Unadjusted and adjusted hazards ratios for diabetes were determined using Cox regression method. A total of 26,988 veterans were studied. In multivariate Cox regression analysis, factors associated with a diagnosis of diabetes included increasing age (HR, 1.44 per 10-year increase in age; 95\% CI, 1.39-1.49), minority race (African American: HR, 1.35; 95\% CI, 1.24-1.48; Hispanic: HR, 1.63; 95\% CI, 1.43-1.86), and care in the HAART era (HR, 2.35; 95\% CI, 2.01-2.75). There was a significant interaction between care in the HAART era and HCV infection, with HCV infection being associated with a significant risk of diabetes in the HAART era (HR, 1.39; 95\% CI, 1.27-1.53) but not in the pre-HAART era (HR, 1.01; 95\% CI, 0.75-1.36). In conclusion, HIV-infected veterans in the HAART era are at a higher risk for diabetes compared with those in the pre-HAART era. HCV coinfection is associated with a significantly higher risk of diabetes in the HAART era, but not in the pre-HAART era. HCV-HIV coinfected patients should be aggressively screened for diabetes.},
	keywords = {Adult, Antiretroviral Therapy, Highly Active, Diabetes Mellitus, Disease Susceptibility, Hepatitis C, HIV Infections, Humans, Male, Middle Aged, Multivariate Analysis, Proportional Hazards Models, Risk Assessment, Survival Analysis, United States, Veterans},
	issn = {0270-9139},
	doi = {10.1002/hep.20289},
	author = {Butt, Adeel A and Fultz, Shawn L and Kwoh, C Kent and Kelley, David and Skanderson, Melissa and Justice, Amy C}
}
