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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

HIV/AIDS (Auckland), 2021-01, Vol.13, p.605-615 [Peer Reviewed Journal]

2021 Msoka et al. ;COPYRIGHT 2021 Dove Medical Press Limited ;2021. This work is licensed under https://creativecommons.org/licenses/by-nc/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Msoka et al. 2021 Msoka et al. ;ISSN: 1179-1373 ;EISSN: 1179-1373 ;DOI: 10.2147/HIV.S304982 ;PMID: 34113177

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Title:
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
Author: Msoka, Titus ; Rogath, Josephine ; Van Guilder, Gary ; Kapanda, Gibson ; Smulders, Yvo ; Tutu van Furth, Marceline ; Bartlett, John ; van Agtmael, Michiel
Subjects: Adults ; Algorithms ; Antiretroviral drugs ; Antiretroviral therapy ; Antiviral agents ; atherosclerotic cardiovascular disease risk score ; Automation ; Blood pressure ; Cardiovascular disease ; Cardiovascular diseases ; Comparative analysis ; Development and progression ; framingham risk score ; Glucose ; Highly active antiretroviral therapy ; HIV ; HIV (Viruses) ; HIV patients ; Human immunodeficiency virus ; Hypertension ; kilimanjaro christian medical center ; Laboratories ; moshi ; Original Research ; Population ; Risk assessment ; Risk factors
Is Part Of: HIV/AIDS (Auckland), 2021-01, Vol.13, p.605-615
Description: 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. 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 10-year CVD risk score based on the two algorithms. Compared to HIV-uninfected, HIV-infected adults were classified at a higher 10-year 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. 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 high-risk.
Publisher: New Zealand: Dove Medical Press Limited
Language: English
Identifier: ISSN: 1179-1373
EISSN: 1179-1373
DOI: 10.2147/HIV.S304982
PMID: 34113177
Source: Geneva Foundation Free Medical Journals at publisher websites
PubMed Central
ProQuest Central
DOAJ Directory of Open Access Journals
Dove Press Free

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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

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