Comparative performance of cardiovascular risk prediction models in people living with HIV.
Comparative performance of cardiovascular risk prediction models in people living with HIV.
复制标题
心血管风险预测模型在艾滋病毒患者中的比较表现。
DOI：
10.4102/sajhivmed.v23i1.1395
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发表时间：
2022
影响因子：
1.7
通讯作者：
Klipstein-Grobusch, Kerstin
中科院分区：
文献类型：
--
作者：
Tahir, Irtiza S.;Vos, Alinda G.;Damen, Johanna A. A.;Barth, Roos E.;Tempelman, Hugo A.;Grobbee, Diederick E.;Scheuermaier, Karine;Venter, Willem D. F.;Klipstein-Grobusch, Kerstin
关键词：
目前对艾滋病毒携带者的心血管风险评估是基于一般风险评估工具；然而，这些工具是否可以应用于撒哈拉以南非洲人口一直受到质疑。这项研究旨在评估常见心血管疾病(CVD)风险预测模型的心血管风险分类，并将其与抗HIV药物不良事件数据收集(D：A：D)2010和2016年HIV感染者模型进行比较。心血管疾病风险通过南非林波波市Ndlovu队列研究的HIV感染参与者的Framingham心血管和心脏病(FHS-CVD，FHS-CHD)、动脉硬化性心血管疾病(ASCVD)和D：A：D风险预测模型进行评估。参与者被分类为低(10%)、中(10%-20%)或高风险(20%)心血管疾病，对于普通心血管疾病和D：A：D模型分别为10年内和5年内。用Kappa统计量确定心血管疾病风险预测模型之间的一致性。按年龄进行亚组分析。这项分析包括735名艾滋病毒感染者，主要是女性(56.7%)，平均年龄43.9岁(8.8岁)。D：A：D 2010和FHS-CVD的心血管风险预测中值为4%，ASCVD和FHS-CHD模型的CVD风险中值为3%。对于D：A：D 2016风险预测模型，这一数字为5%。根据2010年和2016年的FHS-CVD、FHS-CHD、ASCVD和D：A：D预测，2.9%、0.5%、0.7%、3.1%和6.6%的研究参与者将面临10年的高心血管风险。与D：A：D 2010风险预测模型相比，ASCVD的Kappa统计量从0.34到FHS-CVD的0.60。总体而言，预测的心血管疾病风险在这一人群中较低。与D：A：D 2010年相比，FHS-CVD模型估算的心血管疾病风险在风险分类方面显示出类似的总体结果。除D：A：D模型外，所有其他风险预测模型都将较少的人归类为高估计心血管疾病风险。需要进行前瞻性研究来开发和验证撒哈拉以南非洲艾滋病毒携带者的心血管疾病风险算法。
Current cardiovascular risk assessment in people living with HIV is based on general risk assessment tools; however, whether these tools can be applied in sub-Saharan African populations has been questioned. The study aimed to assess cardiovascular risk classification of common cardiovascular disease (CVD) risk prediction models compared to the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) 2010 and 2016 models in people living with HIV. Cardiovascular disease risk was estimated by Framingham Cardiovascular and Heart Disease (FHS-CVD, FHS-CHD), Atherosclerotic Cardiovascular Disease (ASCVD) and D:A:D 2010 and 2016 risk prediction models for HIV-infected participants of the Ndlovu Cohort Study, Limpopo, rural South Africa. Participants were classified to be at low (< 10%), moderate (10% – 20%), or high-risk (> 20%) of CVD within 10 years for general CVD and five years for D:A:D models. Kappa statistics were used to determine agreement between CVD risk prediction models. Subgroup analysis was performed according to age. The analysis comprised 735 HIV-infected individuals, predominantly women (56.7%), average age 43.9 (8.8) years. The median predicted CVD risk for D:A:D 2010 and FHS-CVD was 4% and for ASCVD and FHS-CHD models, 3%. For the D:A:D 2016 risk prediction model, the figure was 5%. High 10-year CVD risk was predicted for 2.9%, 0.5%, 0.7%, 3.1% and 6.6% of the study participants by FHS-CVD, FHS-CHD, ASCVD, and D:A:D 2010 and 2016. Kappa statistics ranged from 0.34 for ASCVD to 0.60 for FHS-CVD as compared to the D:A:D 2010 risk prediction model. Overall, predicted CVD risk is low in this population. Compared to D:A:D 2010, CVD risk estimated by the FHS-CVD model showed similar overall results for risk classification. With the exception of the D:A:D model, all other risk prediction models classified fewer people to be at high estimated CVD risk. Prospective studies are needed to develop and validate CVD risk algorithms in people living with HIV in sub-Saharan Africa.
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影响因子：
4.5
作者：
Gaziano TA;Abrahams-Gessel S;Gomez-Olive FX;Wade A;Crowther NJ;Alam S;Manne-Goehler J;Kabudula CW;Wagner R;Rohr J;Montana L;Kahn K;Bärnighausen TW;Berkman LF;Tollman S
通讯作者：
Tollman S
影响因子：
39
作者：
Freiberg MS;Chang CC;Kuller LH;Skanderson M;Lowy E;Kraemer KL;Butt AA;Bidwell Goetz M;Leaf D;Oursler KA;Rimland D;Rodriguez Barradas M;Brown S;Gibert C;McGinnis K;Crothers K;Sico J;Crane H;Warner A;Gottlieb S;Gottdiener J;Tracy RP;Budoff M;Watson C;Armah KA;Doebler D;Bryant K;Justice AC
通讯作者：
Justice AC
影响因子：
7.7
作者：
Dillon DG;Gurdasani D;Riha J;Ekoru K;Asiki G;Mayanja BN;Levitt NS;Crowther NJ;Nyirenda M;Njelekela M;Ramaiya K;Nyan O;Adewole OO;Anastos K;Azzoni L;Boom WH;Compostella C;Dave JA;Dawood H;Erikstrup C;Fourie CM;Friis H;Kruger A;Idoko JA;Longenecker CT;Mbondi S;Mukaya JE;Mutimura E;Ndhlovu CE;Praygod G;Pefura Yone EW;Pujades-Rodriguez M;Range N;Sani MU;Schutte AE;Sliwa K;Tien PC;Vorster EH;Walsh C;Zinyama R;Mashili F;Sobngwi E;Adebamowo C;Kamali A;Seeley J;Young EH;Smeeth L;Motala AA;Kaleebu P;Sandhu MS;African Partnership for Chronic Disease Research (APCDR)
通讯作者：
African Partnership for Chronic Disease Research (APCDR)
DOI：
10.1097/qai.0000000000001445
发表时间：
2017-08-15
期刊：
Journal of acquired immune deficiency syndromes (1999)
影响因子：
--
作者：
Manne-Goehler J;Montana L;Gómez-Olivé FX;Rohr J;Harling G;Wagner RG;Wade A;Kabudula CW;Geldsetzer P;Kahn K;Tollman S;Berkman LF;Bärnighausen TW;Gaziano TA
通讯作者：
Gaziano TA
影响因子：
24
作者：
Boccara, Franck;Lang, Sylvie;Cohen, Ariel
通讯作者：
Cohen, Ariel