Cardiovascular disease risk prediction by the American College of Cardiology (ACC)/American Heart Association (AHA) Atherosclerotic Cardiovascular Disease (ASCVD) risk score among HIV-infected patients in sub-Saharan Africa

被引:33
|
作者
Mosepele, Mosepele [1 ]
Hemphill, Linda C. [2 ,3 ]
Palai, Tommy [1 ]
Nkele, Isaac [4 ]
Bennett, Kara [5 ]
Lockman, Shahin [4 ,6 ,7 ]
Triant, Virginia A. [3 ,8 ,9 ]
机构
[1] Univ Botswana, Dept Med, Fac Med, Gaborone, Botswana
[2] Massachusetts Gen Hosp, Ctr Heart, Div Cardiol, Boston, MA 02114 USA
[3] Harvard Med Sch, Boston, MA USA
[4] Botswana Harvard AIDS Inst Partnership, Gaborone, Botswana
[5] Bennett Stat Consulting Inc, Ballston Lake, NY USA
[6] Brigham & Womens Hosp, Div Infect Dis, 75 Francis St, Boston, MA 02115 USA
[7] Harvard TH Chan Sch Publ Hlth, Dept Immunol & Infect Dis, Boston, MA USA
[8] Massachusetts Gen Hosp, Div Gen Internal Med, Boston, MA 02114 USA
[9] Massachusetts Gen Hosp, Div Infect Dis, Boston, MA 02114 USA
来源
PLOS ONE | 2017年 / 12卷 / 02期
关键词
INTIMA-MEDIA THICKNESS; T-CELL COUNT; IMMUNE ACTIVATION; ELIGIBILITY; EVENTS; STROKE; ADULTS; WOMEN;
D O I
10.1371/journal.pone.0172897
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objectives HIV-infected patients are at increased risk for cardiovascular disease (CVD). However, general population CVD risk prediction equations that identify HIV-infected patients at elevated risk have not been widely assessed in sub-Saharan African (SSA). Methods HIV-infected adults from 30-50 years of age with documented viral suppression were enrolled into a cross-sectional study in Gaborone, Botswana. Participants were screened for CVD risk factors. Bilateral carotid intima-media thickness (cIMT) was measured and 10year predicted risk of cardiovascular disease was calculated using the Pooled Cohorts Equation for atherosclerotic CVD (ASCVD) and the 2008 Framingham Risk Score (FRS) (National Cholesterol Education Program III-NCEP III). ASCVD >= 7.5%, FRS >= 10%, and cIMT >= 75 th percentile were considered elevated risk for CVD. Agreement in classification of participants as high-risk for CVD by cIMT and FRS or ASCVD risk score was assessed using McNemar's Test. The optimal cIMT cut off-point that matched ASCVD predicted risk of >= 7.5% was assessed using Youden's J index. Results Among 208 HIV-infected patients (female: 55%, mean age 38 years), 78 (38%) met criteria for ASCVD calculation versus 130 (62%) who did not meet the criteria. ASCVD classified more participants as having elevated CVD risk than FRS (14.1% versus 2.6%, McNemar's exact test p = 0.01), while also classifying similar proportion of participants as having elevated CVD like cIMT (14.1% versus 19.2%, McNemar's exact test p = 0.34). Youden's J calculated the optimal cut point at the 81 st percentile for cIMT to correspond to an ASCVD score >= 7.5% (sensitivity = 72.7% and specificity = 88.1% with area under the curve for the receiver operating characteristic [AUC] of 0.82, 95% Mann-Whitney CI: 0.66-0.99). Conclusion While the ASCVD risk score classified more patients at elevated CVD risk than FRS, ASCVD score classified similar proportion of patients as high risk when compared with established subclinical atherosclerosis. However, potential CVD risk category mis-classification by established equations such as ASCVD may still exist among HIV-infected patients; hence there is still a need for development of a CVD risk prediction equation tailored to HIV-infected patients in SSA.
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