2018
DOI: 10.1097/qai.0000000000001696
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Distribution and Performance of Cardiovascular Risk Scores in a Mixed Population of HIV-Infected and Community-Based HIV-Uninfected Individuals in Uganda

Abstract: In this cross-sectional study from Uganda, the FRS-BMI correlated well with standard risk scores and c-IMT. HIV-uninfected individuals had higher risk scores than HIV-infected individuals, and the difference seemed to be driven by modifiable factors.

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Cited by 16 publications
(22 citation statements)
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“…On the contrary, the prevalence of high SCORE (�5%) or10-year SCORE risk was significantly higher in HIV-infected people. Previous studies have reported contradictory results when comparing FRS risk in HIV-infected and uninfected individuals, with some reporting higher [44], some similar [22,45] and some even lower [46] risk in HIV-infected. It has been shown that the FRS equations underestimate CVD risk in PLHIV [35,47].…”
Section: Hiv-infected Predicted % (95% Ci)mentioning
confidence: 93%
“…On the contrary, the prevalence of high SCORE (�5%) or10-year SCORE risk was significantly higher in HIV-infected people. Previous studies have reported contradictory results when comparing FRS risk in HIV-infected and uninfected individuals, with some reporting higher [44], some similar [22,45] and some even lower [46] risk in HIV-infected. It has been shown that the FRS equations underestimate CVD risk in PLHIV [35,47].…”
Section: Hiv-infected Predicted % (95% Ci)mentioning
confidence: 93%
“…24 Our findings are consistent with previous studies that predicted low mean CVD risk among PLWH in Uganda. 11,12 Only 17% of individuals (26% males and 13% females) in one study had a 10-year CVD risk that exceeded 5%. 12 However, even slightly higher risk of CVD associated with HIV infection is concerning, particularly in older ages, given the increasing longevity of HIV-infected individuals.…”
Section: Journal Of Global Health Reportsmentioning
confidence: 97%
“…Excluding this effect would potentially underestimate CVD risk among HIVinfected individuals as was shown in a Ugandan study that predicted lower CVD risk in PLWH than in matched HIV-uninfected controls. 11 This comparison was based on predictions made with Framingham and American Heart Association's pooled cohort risk scores, neither of which include this direct effect. Other studies have used the Data collection on Adverse Effects of Anti-HIV Drugs Study (D:A:D) prediction model which takes into account the effects of low immunity (CD4 cell count) and specific ART drugs on CVD risk.…”
mentioning
confidence: 99%
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“…Yet, although risk factors point to increasing risk, little is known about the true prevalence of subclinical vascular disease or clinical ASCVD risk among people living with HIV (PLWH) in SSA 3. Some studies of carotid intima-media thickness4 and various measures of arterial stiffness5–7 have come to mixed conclusions on the relationship between HIV and subclinical vascular disease in varied SSA populations. Yet no prior studies have directly measured the prevalence of subclinical coronary disease among PLWH and controls in SSA using coronary artery calcium (CAC) scores.…”
Section: Introductionmentioning
confidence: 99%