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Cardiovascular disease risk and its determinants in people living with HIV across different settings in South Africa
Author(s) -
Roozen G V T,
Vos A G,
Tempelman H A,
Venter W D F,
Grobbee D E,
Scheuermaier K,
KlipsteinGrobusch K
Publication year - 2020
Publication title -
hiv medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.53
H-Index - 79
eISSN - 1468-1293
pISSN - 1464-2662
DOI - 10.1111/hiv.12831
Subject(s) - medicine , body mass index , demography , cohort , demographics , cross sectional study , proxy (statistics) , disease , human immunodeficiency virus (hiv) , gerontology , immunology , pathology , sociology , machine learning , computer science
Objectives Socio‐economic factors and lifestyle are known to differ across geographies and populations, which may result in distinct risk profiles for cardiovascular disease (CVD). This study assessed carotid intima‐media thickness (CIMT), a proxy for CVD, and its determinants in two groups of people living with HIV (PLHIV) in two different settings in South Africa. Methods A cross‐sectional analysis was conducted comparing data from the Ndlovu Cohort Study in the Limpopo Province (group 1) and from three clinical trials in Johannesburg (group 2). The association between demographics, conventional CVD risk factors, HIV‐related factors and CIMT in groups 1 and 2 was analysed with two separate multivariable linear regression models. Results Group 1 consisted of 826 participants (mean age 42.2 years) and mean (± standard deviation) CIMT was 0.626 ± 0.128 mm. In this group, sex, age, body mass index (BMI), cholesterol, glucose and antiretroviral therapy (ART) duration ( β = 0.011 mm per 5 years; P = 0.02) were associated with higher CIMT. There were positive interactions between age and ART duration and age and cholesterol. Group 2 consisted of 382 participants (mean age 39.5 years) and mean (± standard deviation) CIMT was 0.560 ± 0.092 mm. In this group, only sex, education level, BMI and cholesterol were associated with higher CIMT, albeit with weaker associations than in group 1. Conclusions Conventional CVD risk factors were the main drivers of CIMT. The impact of some of these risk factors appeared to increase with age. Differences in sample size, age and viral suppression might explain why an effect of ART was observed in group 1 but not in group 2.