Rafael Aguiar Maciel1, Helena Moreira Klück2, Madeleine Durand3, Eduardo Sprinz4. 1. Medical Sciences Post-Graduation Program, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil. 2. School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil. 3. Université de Montréal, Québec, Canada. 4. School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil. Electronic address: esprinz@hcpa.edu.br.
Abstract
OBJECTIVES: At present, data are limited on the comorbidity profiles associated with aging people with HIV in the developing world, where most such people live. The aim of this study was to compare the disease burden between older HIV-positive subjects and HIV-negative matched controls in Brazil. METHODS: This was a cross-sectional analysis of the South Brazilian HIV Cohort. Individuals aged 50 years and older were enrolled at Hospital de Clínicas de Porto Alegre and matched with HIV-negative controls from the primary practice unit of the same hospital. Multimorbidity (the presence of two or more comorbid conditions) and the number of non-infectious comorbidities were compared. Poisson regression was used to identify factors associated with multimorbidity. RESULTS: A total of 208 HIV-positive subjects were matched to 208 HIV-negative controls. Overall, the median age was 57 years and 56% were male. The prevalence of multimorbidity was higher in HIV-positive subjects than in HIV-negative controls (63% vs. 43%, p<0.001), and the median number of comorbidities was 2, compared to 1 in controls (p<0.001). The duration of HIV infection (p=0.02) and time on treatment in years (p=0.015) were associated with greater multimorbidity in HIV-positive persons. CONCLUSIONS: In this large cohort from the developing world, multimorbidity was found to be more common in HIV-positive subjects than in HIV-negative controls. The duration of HIV and time on antiretrovirals were associated with multimorbidity.
OBJECTIVES: At present, data are limited on the comorbidity profiles associated with aging people with HIV in the developing world, where most such people live. The aim of this study was to compare the disease burden between older HIV-positive subjects and HIV-negative matched controls in Brazil. METHODS: This was a cross-sectional analysis of the South Brazilian HIV Cohort. Individuals aged 50 years and older were enrolled at Hospital de Clínicas de Porto Alegre and matched with HIV-negative controls from the primary practice unit of the same hospital. Multimorbidity (the presence of two or more comorbid conditions) and the number of non-infectious comorbidities were compared. Poisson regression was used to identify factors associated with multimorbidity. RESULTS: A total of 208 HIV-positive subjects were matched to 208 HIV-negative controls. Overall, the median age was 57 years and 56% were male. The prevalence of multimorbidity was higher in HIV-positive subjects than in HIV-negative controls (63% vs. 43%, p<0.001), and the median number of comorbidities was 2, compared to 1 in controls (p<0.001). The duration of HIV infection (p=0.02) and time on treatment in years (p=0.015) were associated with greater multimorbidity in HIV-positive persons. CONCLUSIONS: In this large cohort from the developing world, multimorbidity was found to be more common in HIV-positive subjects than in HIV-negative controls. The duration of HIV and time on antiretrovirals were associated with multimorbidity.
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