Rates and predictors of injury in a population-based cohort of people living with HIV. (14th January 2017)

• Record Type: Journal Article
• Authors: Samji, Hasina; Zhang, Wendy; Eyawo, Oghenowede; Jabbari, Shahab; Colley, Guillaume; Tanner, Zachary; Hull, Mark; Montaner, Julio S.G.; Hogg, Robert S.
• Other Names: collaborator.
• Is Part Of: AIDS. Volume 31:Number 2(2017)
• Page Start: 295
• Page End: 304
• Publication Date: 2017-01-14
• Subjects: administrative data -- antiretroviral therapy -- Canada -- HIV -- injury -- retrospective cohort; AIDS (Disease) -- Periodicals; Acquired Immunodeficiency Syndrome; AIDS (Disease); Periodicals; Periodicals; 616.9792005
• DOI: 10.1097/QAD.0000000000001328
• Languages: English
• ISSNs: 0269-9370

Abstract

Abstract : Supplemental Digital Content is available in the text Abstract : Objectives: Injuries are responsible for 10% of the global burden of disease; however, the epidemiology of injury among people living with HIV (PLHIV) has not been well elucidated. This study seeks to characterize rates and predictors of injury among PLHIV compared to the general population in British Columbia (BC), Canada. Design: A population-based dataset was created via linkage between the BC Centre for Excellence in HIV/AIDS and PopulationDataBC. Methods: PLHIV aged 20 years and older were compared to a random 10% sample of the adult general population. The International Classification of Diseases 9 and 10 codes were used to classify unintentional and intentional injuries based on the external cause of the injury from 1996 to 2013. Generalized estimating equation (GEE) Poisson regression models were fit to estimate the effect of HIV status on rates of unintentional and intentional injury, and to identify correlates of injury among PLHIV. Results: The crude incidence rate of unintentional injury was 18.56/1000 person-years [95% confidence interval (CI) 17.77–19.39] among PLHIV and 8.51/1000 person-years (95% CI 8.42–8.59) in the general population. Among PLHIV, 13.45% of deaths were due to injury, compared to 5.52% of deaths in the general population. In adjusted models, PLHIV were more likely to report unintentional (incidence rate ratio 1.42, 95% CI 1.32–1.52) and intentional injury (incidence rate ratio 1.93, 95% CI 1.70–2.18) compared to the general population. Conclusions: We identified elevated rates of intentional and unintentional injury among PLHIV. Injuries are largely preventable; as such, targeted efforts are needed to decrease the burden of injury-related disability and death among PLHIV.