Comparison of predicted cardiovascular risk profiles by different cvd risk-scoring algorithms between hiv-1-infected and uninfected adults: A cross-sectional study in Tanzania

Journal Article (Journal Article)

Purpose: Cardiovascular disease (CVD) risk assessment is a suitable way to differentiate between high-risk individuals requiring intervention and risk modification, and those at low risk. However, concerns have been raised when adopting a CVD-risk prediction algorithm for HIV-infected patients in sub-Saharan Africa. Patients and Methods: We compared cardiovascular risk profiles between HIV-infected (with and without antiretroviral therapy (ART)) and HIV-uninfected adults as predicted by the American College of Cardiology/American Heart Association (ASCVD) and the Framingham cardiovascular risk score (FRS) algorithms and assessed the concordance of the algorithms in predicting 10-year CVD risk separately in HIV-infected and uninfected groups in a hospital-based cross-sectional study in Tanzania. A cross-sectional hospital-based study including 40 HIV-infected ART-naive, 64 HIV-infected on ART, and 50 HIV-uninfected adults was conducted. Traditional cardiovascular risk factors were determined by standard investigations. The primary outcome was the absolute 10year CVD risk score based on the two algorithms. Results: Compared to HIV-uninfected, HIV-infected adults were classified at a higher 10year CVD risk. ASCVD algorithms predicted a higher proportion of high-risk individuals compared to FRS in both HIV-infected and uninfected groups. The concordance between ASCVD and FRS-lipid algorithms was reasonable for both HIV-infected and uninfected groups though relatively higher in the HIV-uninfected group. Conclusion: HIV-infected individuals have a higher 10-year cardiovascular risk compared to HIV-uninfected persons. The concordance between ASCVD and FRS-lipid algorithms is reasonable in both HIV-uninfected and infected persons in Tanzania. Development of an HIV-specific algorithm is needed to accurately predict CVD risk in this population at highrisk.

Full Text

Duke Authors

Cited Authors

  • Msoka, T; Rogath, J; Van Guilder, G; Kapanda, G; Smulders, Y; van Furth, MT; Bartlett, J; van Agtmael, M

Published Date

  • January 1, 2021

Published In

Volume / Issue

  • 13 /

Start / End Page

  • 605 - 615

Electronic International Standard Serial Number (EISSN)

  • 1179-1373

Digital Object Identifier (DOI)

  • 10.2147/HIV.S304982

Citation Source

  • Scopus