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Cardiovascular disease risk in an urban African population: a cross-sectional analysis on the role of HIV and antiretroviral treatment



Life expectancy is increasing in the HIV-positive population and age-related non-communicable diseases, such as cardiovascular disease, (CVD) are seen more frequently. This study investigated to what extent HIV and antiretroviral therapy (ART) is associated with CVD risk in an urban African population.


A cross-sectional study was performed in Johannesburg, South Africa, between July 2016 and November 2017. Both HIV-positive adults (ART-naïve, or on first- or second-line ART), as well as age and sex matched HIV-negative controls who were family or friends of the HIV-positive participants were included. Data were collected on demographics, cardiovascular risk factors, HIV-related characteristics, carotid intima-media thickness (CIMT) and carotid distensibility. The association between HIV, ART and CIMT and distensibility was analysed with linear regression models, adjusting for age, gender and CVD risk factors.


The study included 548 participants, 337 (62%) females, age 38.3 ± 9.5 years of whom 104 (19.0%) were HIV-positive, ART-naïve; 94 (17.2%) were on first-line ART; 197 (35.9%) were on second-line ART; and 153 (27.9%) were HIV-negative. Participants on second-line ART had higher CIMT and lower distensibility compared to the other groups (p < 0.001). After adjustment for age, these outcomes were similar between groups. Further adjustment for CVD and HIV-related factors did not alter the findings.


Neither HIV nor ART was associated with CIMT or carotid distensibility in this urban African population. Longitudinal studies are needed to fully understand the relationship between HIV and CVD across different populations.


Life expectancy has increased for the human immunodeficiency virus (HIV) infected population due to the successful roll out of antiretroviral therapy (ART) [1, 2]. As a result, HIV-positive populations will increasingly experience ageing-related non-communicable diseases (NCDs) such as cardiovascular disease (CVD).

The incidence of NCDs is high in sub-Saharan Africa (SSA). In South Africa, NCDs accounted for 54.7% of all deaths in 2016 [3]. Cerebrovascular disease and ischaemic heart disease were ranked fourth and fifth for years of life lost in 2015 and diabetes was the second biggest killer after TB in 2016 [3, 4].

In high-income countries (HIC) HIV infection is associated with an increased risk of CVD of up to 50% [5, 6]. The pathophysiology is likely multifactorial and depends on chronic inflammation [7, 8], metabolic side-effects of ART and the burden of classical risk factors for CVD that is likely higher in people with HIV compared to the general population [9].

The situation for SSA is less clear, even though 70% of the world’s HIV-infected population resides in this region [10]. It is questionable whether data from HIC can be applied to SSA as the demographics of both HIV-positive populations and the general population differ substantially between these regions. Where the HIV epidemic in HIC is predominantly among white homosexual men and intravenous drug users, the majority of the HIV-infected population in SSA are black, heterosexual women [10]. Lifestyle differences are also apparent from an evaluation of the burden of classic CVD risk factors. In HIC, the percentage of people with hypertension, diabetes and smoking is higher for the HIV-positive group compared to the HIV-negative population [5, 11, 12]. In SSA these risk factors seem to be less prevalent in the HIV-positive population compared to the HIV-negative population [13,14,15].

The contribution made by ART to the development of CVD is a matter of debate. Although ART restores immune function, inflammatory markers do not return to normal levels, indicating ongoing low-grade inflammation, which is associated with CVD risk [16,17,18]. Older ART regimens evidently carry a high risk of metabolic side-effects, including lipodystrophy, altered glucose metabolism and dyslipidaemia, and have been associated with increased carotid intima-media thickness (CIMT), a marker of subclinical atherosclerosis [19]. Newer ART regimens have a lower risk of metabolic side-effects, yet markers of endothelial damage still seem to be higher in the HIV-positive population on ART compared to the HIV-negative population [20, 21]. This underlines the importance of taking ART regimens into account when evaluating CVD risk in HIV-positive individuals.

It is difficult to obtain data on the long-term effects of HIV and ART on CVD risk as many participants and years of follow-up are needed in studies using clinical endpoints such as myocardial infarction and stroke. However, alternative markers associated with future clinical CVD events are available and can be used to estimate CVD risk. CIMT is an established proxy for CVD risk in both white and black populations [22]. Arterial distensibility is a marker of subclinical atherosclerosis and is an independent predictor of cardiovascular mortality [23]. Arterial stiffening, and hence reduced distensibility, occurs as part of normal ageing and is accelerated by a number of conditions including hypertension, diabetes mellitus and renal failure [24].

Therefore, this study’s aim is to gain insight into the influence of HIV and ART on CIMT and carotid distensibility, and hence CVD risk, in an urban African population.



We performed a cross-sectional study including four groups of participants aged ≥ 18 years between July 2016 and November 2017 at Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa. All HIV-positive participants were diagnosed during routine HIV testing programmes in inner-city Johannesburg. The first group included newly diagnosed HIV-positive participants. Participants were recruited from an ongoing randomised controlled trial (RCT) comparing two new first-line ART regimens with the current standard of care first-line ART regimen [25]. Participants had HIV-1 infection and plasma HIV-1 RNA ≥ 500 copies/mL at screening and no exposure to ART. Participants were eligible for participation in our study any moment from enrolment in the RCT to a maximum follow-up duration of 36 weeks. The second group was on a first-line tenofovir containing regimen for at least 2.5 years. Participants were recruited from an RCT completed in 2016, comparing two different first line ART-regimens and included 600 HIV-positive, ART-naïve individuals in Johannesburg, South Africa, between 2012 and 2014 [26]. The third group included participants on second-line ART. They were recruited from an open label randomised study to demonstrate non-inferiority of low-dose ritonavir-boosted darunavir compared with ritonavir-boosted lopinavir-based second-line ART regimen [27]. Inclusion criteria for this trial were second-line ART for at least 48-weeks and plasma HIV-1 RNA levels < 50 copies/mL. Participants of this trial were approached for enrolment in our project during the baseline or one of the follow-up visits. All RCTs aimed to test ART in the general HIV-positive population. Exclusion criteria for these trials related to relatively rare conditions in a young population like impaired kidney and liver function and hepatitis B infection.

The fourth group consisted of HIV-negative participants recruited from the local community. The HIV-positive participants were invited to refer a family member or friend of the same age (± 5 years) and gender who was not known to be HIV-positive. All participants without a documented HIV-positive status underwent HIV testing upon enrolment according to South African Department of Health HIV testing guideline [28]. If a participant tested HIV-positive and there was no history of ART use they were assigned to the first group (HIV-positive, ART-naïve), and referred to a local clinic to initiate ART. If a participant that tested positive for HIV was found to be receiving ART, he/she was included in the group on first- or second-line ART, depending on their current ART regimen.

Data collection

Data were collected on demographics, medical history and medication use, including HIV status and ART use, cardiovascular risk factors using a modified version of WHO-STEPs questionnaire [29] and physical activity in Metabolic Equivalent for Task (MET) minutes per week using the International Physical Activity Questionnaire [30]. Students, retirees, disabled and volunteers were considered unemployed. Being married or cohabitating was considered a stable relationship. A positive family history of CVD was defined as a history of stroke and/or heart attack of a first-degree family member (parent or sibling) before the age of 60 years. A physical examination included measurement of height, weight, waist and hip circumference. Blood pressure was measured in a seated position after a 5-min rest on the left arm and the right arm, and repeated on the arm with the highest value. The average of the second and third measurement was used for analysis. Blood was drawn for the analysis of creatinine, random glucose and lipids, and from HIV-positive participants also for HIV viral load. Urine was collected for analysis of albumin to creatinine ratio. An accredited laboratory analysed blood and urine samples. For the HIV-positive, ART-naïve participants who were recruited from the ongoing RCT, and for participants on second-line ART, laboratory data of the clinical trial visit closest to the visit at our study site was used. For participants on first-line ART, HIV viral load and CD4+ cell count were retrieved from the last RCT study visit.

Outcome measurement

CIMT was measured in all participants after a 15 min rest. We used a Siemens Acuson p500 ultrasound (Siemens Healthcare (Pty) Ltd, South Africa) and scans were obtained in B-mode with a ≥ 7.0 MHz linear probe. The near wall and far wall of the common carotid artery (CCA) was measured at three standardised angles at both the right and left side using the Meijer’s Arc [31]. The far wall of the carotid bulb on the right and left side was captured at the best visible angle. A 5-s video-clip of both arteries was made with the transducer positioned in line with the CCA one centimetre from the carotid bifurcation. CIMT was measured semi-automatically with the Artery Measurement System software (Chalmers University, Götenburg, Sweden) and adjusted manually if needed [32]. Analyses were done in batch with a uniform reading protocol. CIMT reading included mean and maximum thickness of the intima-media layer of the near and far wall across all six angles of the CCA (mean CCA intima-media thickness (IMT) and max CCA-IMT), and the maximum IMT at the carotid bulb left and right (max bulb-IMT). A mean CCA-IMT of > 1.0 mm at any of the measured angles was considered as a plaque [33].

For carotid distensibility, approximately 100 discrete measurement points were used to obtain the maximum (LDmax) and minimum (LDmin) carotid lumen diameter in a 10 mm segment within 20 mm from the bifurcation. One reader read the CIMT images and two readers analysed carotid distensibility clips. The readers were blinded to the HIV status and treatment group. Inter-reader agreement for the clips was 0.90 (95% CI 0.62–0.96) using the intra-class correlation coefficient with a two-way random-effects model.

Pulse pressure (PP) was calculated by subtracting the diastolic blood pressure from the systolic blood pressure. The carotid distensibility was calculated according to the following formula:

$$Distensibility = \frac{{\left( {\frac{{2\left( {LDmin - LDmax} \right)}}{LDmin}} \right)}}{PP}$$

Lower values reflect a stiffer carotid artery. Distensibility was standardized according to units in 10−6 * New-tons−1 * metres2 [34]. Measurements of the right CCA were used for analysis [35,36,37].

The study was approved by the Human Ethics Research Committee of the University of the Witwatersrand (ethics clearance number M160130) and performed conform the Declaration of Helsinki. All participants provided written, informed consent prior to participation.

Statistical analysis

Baseline characteristics were presented for each of the four groups as mean [standard deviation (SD)], median [interquartile range (IQR)] or frequency count [percentage (%)] as appropriate. First, CIMT outcomes and carotid distensibility were compared across the groups using the Kruskal–Wallis test with post-hoc testing using a Bonferroni correction. Second, the relationship of HIV and ART status with mean and max CCA-IMT, max bulb-IMT and carotid distensibility was analysed using linear regression models. The first model included all groups using the HIV-negative group as reference group with no adjustments; the second model was adjusted for age; the third model was adjusted for age and sex; and the fourth model was further adjusted for CVD risk factors that were shown in the literature to be related to CIMT, namely systolic blood pressure, body mass index, LDL cholesterol, HDL cholesterol, glucose and current smoking [31]. An additional analysis was performed using the same method including the HIV-positive participants only, using the ART-naïve group as the reference to assess the contribution of HIV related factors, namely CD4+ cell count, HIV viral load and duration since HIV diagnosis. Third, models were run separately for men and women, and a possible interaction between HIV status and age was investigated by adding an interaction term to the models. A two-sided p < 0.05 was considered as statistically significant. Statistical analyses were performed using IBM SPSS Statistics Version 25 (SPSS, Chicago, Illinois, USA).


In total, 548 participants were included: 153 HIV-negative controls; 104 newly diagnosed HIV-positive ART-naïve participants; 94 participants with HIV on stable first-line therapy; and 197 participants on stable second-line ART (Table 1). All except one were Black African, the majority were women (n = 337, 61.5%) and the mean age was 38.3 (SD 9.5) years. Overall, 38.4% completed matric or university, and most participants were single. Employment varied significantly with the highest employment rate for participants on first-line ART (82.8%) and the lowest employment rate for the HIV-negative controls (32.9%). Participants on second-line ART were older, more likely to be women, and weighed more than the other participants. Participants on first-line ART knew their HIV diagnosis for about 4 years, and participants on second-line ART for approximately 9 years.

Table 1 Characteristics of the study population

CCA-IMT was available for 534 (97.4%) participants, bulb-IMT for 474 (86.5%), and carotid distensibility for 514 (93.8%) participants. Mean and max CCA-IMT and max bulb-IMT were significantly higher and carotid distensibility was significantly lower for participants on second-line ART compared to the other groups (Table 2a and b). There were only a few participants with plaque in the CCA. When CCA-IMT and distensibility outcomes were adjusted for age, differences between the groups disappeared. Further adjustment for CVD risk factors did not change the magnitude and direction of the relation between HIV, ART and mean or max CCA-IMT or carotid distensibility (see Table 3a and b for the models for mean CCA-IMT and carotid distensibility). Following multivariable adjustment age (β = 0.006, p < 0.001), systolic blood pressure (β = 0.000, p = 0.01) and LDL cholesterol (β = 0.009, p = 0.03) were associated with mean CCA-IMT. The same factors contributed to max CCA-IMT (data not shown).

Table 2 (a) CIMT and (b) carotid distensibility per group
Table 3 HIV and ART status on mean (a) CCA intima-media thickness and (b) carotid distensibility

Max bulb-IMT was lower in HIV-positive ART-naïve participants compared to HIV-negative participants (β = − 0.070, p = 0.03) following multivariable adjustment and participants on first-line ART tended to have a lower max bulb-IMT (β = − 0.065, p = 0.07). Max bulb-IMT did not differ between participants on second-line ART and HIV-negative controls (p = 0.20) (Additional file 1: Table S1).

Table 4 shows the mean CCA-IMT and carotid distensibility for the HIV-positive participants only. After adjustment including HIV-related factors, ART was not related to mean CCA-IMT, max CCA-IMT, max bulb-IMT nor carotid distensibility.

Table 4 ART status on mean (a) CCA intima-media thickness and (b) carotid distensibility

Finally, men and women were analysed separately and the same relations were observed (data not shown). There was no indication that the effect of HIV on CIMT or carotid distensibility differed between younger and older participants as the interaction term between age and HIV was not statistically significant.


HIV and ART were not related to increased CIMT and reduced carotid distensibility and hence CVD risk in this well-characterised African population. Participants on second-line ART had a higher CIMT and lower carotid distensibility, but this was explained by participants being older in this group. Max bulb-IMT was lower for HIV-positive ART-naïve participants than for HIV-negative participants. Additional correction for HIV-related factors such as CD4+ cell count, HIV viral load and duration since HIV diagnosis did not change the direction or magnitude of the relationship between HIV, ART and CVD risk.

There is no consensus in the literature on the relationship between HIV and CIMT. Several studies, all conducted outside SSA, comparing HIV-positive individuals, whether or not on ART, to HIV-negative individuals found a higher CIMT for the HIV-infected group, indicating a higher CVD risk [35, 38,39,40,41]. Furthermore, HIV infection seems to be related to CIMT as the level of viraemia influences CIMT, with a lower CIMT for people with an undetectable viral load as compared to people with low-level viraemia [42]. However, other studies did not find a difference in baseline CIMT between HIV-positive and HIV-negative participants [43,44,45].

The association between HIV and carotid distensibility has previously been addressed in two studies conducted in HIC. The first included 77, predominantly white, males (median age 42.3 years), including both ART-naïve patients and patients on ART [35]. The second study included 2789 participants, half of them Afro-Americans; the average age was 44.3 years [36]. Both observed HIV to be associated with a significantly lower carotid distensibility, and hence higher arterial stiffness.

The influence of ART on CIMT is also debated. Some studies showed a higher CIMT for people on ART [40, 41], whereas other studies showed no difference in CIMT between HIV-positive, both untreated and ART-treated groups [45, 46]. The class of antiretrovirals may influence the association with CIMT [47, 48]. ART use was also not consistently associated with arterial stiffness [35, 36].

Results presented in the current analysis are in line with those from other, smaller, studies conducted in SSA. Gleason et al. [49], Fourie et al. [46] and Mosepele et al. [18] all compared HIV-positive to HIV-negative participants in Ethiopia, South Africa and Botswana respectively, and observed no increase in CIMT based on HIV or ART status. Fourie et al. [46], even found a lower CCA-IMT for the HIV-positive compared to the HIV-negative group. We found a lower max bulb-IMT, but not CCA-IMT, for HIV-positive participants not yet on ART compared to HIV-negative participants. The reason for this finding is not known, however it is interesting to note that previous studies in SSA have shown a lower prevalence of classic CVD risk factors in HIV-positive compared to HIV-negative subjects [13,14,15]. Our findings should be confirmed in future research. Schoffelen et al. [50] in a cross-sectional study performed in South-Africa in HIV-positive participants, showed a relationship of classic CVD risk factors to CIMT, but not for HIV-related factors. In accordance with this, none of the HIV-related factors in our study were associated with CIMT. These findings suggest that neither HIV nor ART increase CIMT in a Black African population.

To interpret the conflicting findings on the relationship between HIV and CIMT the following arguments should be considered. First, studies vary in sample size, and a small sample size is more likely to result in biased findings. Second, the duration of uncontrolled HIV infection should be taken into account as this was strongly related to CVD [51] and, to a lesser extent, CIMT [38, 40]. Third, the selection of the HIV-negative control group can lead to biased findings as controls are often matched on age and gender only and not on socio-economic status. The HIV-positive groups in HIC represent a group of people with a specific lifestyle and higher CVD risk than the general population. Although studies correct for CVD risk factors there may be unmeasured factors that result in a higher CVD risk, and hence CIMT, in the HIV-positive population. Furthermore, our study included mainly women of premenopausal age, who are known to have a low CVD risk in general. CVD risk and potential differences in CVD risk between HIV-positive and HIV-negative participants may become more pronounced in post-menopausal women. Finally, when interpreting our results the urban location of our study should be considered. It would be worthwhile to repeat our study in a rural community as differences in lifestyle could result in distinct CVD risk profiles, although we do not foresee how this would influence the effect of HIV and ART on CVD risk or CIMT.

We did not find an interaction between HIV and age on CIMT. This is in contrast to a recent pooled analysis of CIMT across five cohorts of HIV-positive and HIV-negative individuals. In this analysis the relationship between HIV and CIMT was found to be age dependent: for the age group 30–49 years no association was seen between HIV and CIMT, whereas from the age of 50 years HIV infection was associated with lower CIMT than in the HIV-negative group [52]. Traditional CVD risk factors were observed to be the main drivers of CIMT and this effect increased with age [52]. In our study the number of participants over the age of 50 years was relatively small (10.9%), which might explain why we did not find an age-dependent relation between HIV and CIMT.

In summary, our findings do not support the view that CVD risk is increased in the HIV-infected population compared to the non-infected population. The question remains whether CIMT and carotid distensibility are appropriate surrogate markers to detect a difference in CVD risk in a relatively young and otherwise healthy population. Two studies in SSA could not identify an association between CIMT and elevated markers of endothelial damage s-VCAM and s-ICAM [21, 46], indicating that there is endothelial damage even when CIMT is still normal.

To date, most research in SSA using clinical endpoints such as myocardial infarction and stroke observed an increased risk for the HIV-infected population [53,54,55]. A recent meta-analysis using national disability-adjusted life-year estimates for cardiovascular disease found that people with HIV are twice as likely to develop cardiovascular disease as compared to the non-infected population, and that this burden was higher in SSA than in HIC [56], possibly indicating that CVD risk is increased in HIV infection in SSA.

Major strengths of our study are the large sample size; the use of an HIV-negative control group; the comparison between HIV-infected participants not yet on treatment, on stable first-line and stable second-line ART; and the extensive, standardised assessment of CVD risk.

However, some limitations need to be recognised. We used a full case analysis and this resulted in 15% missing data in the models assessing the influence of HIV-related characteristics. Assuming data were missing completely at random, any bias is likely to be small. HIV-positive participants were recruited from clinical trials using stringent inclusion criteria while the HIV-negative controls were recruited from the community. This may lead to an underestimation of the CVD risk in the HIV-positive participants; although impaired kidney function was the only CVD risk factor that was used as an exclusion criterion in the RCTs. The high unemployment rate in the HIV-negative group indicates that unemployed people were keener to participate than people who would have had to take leave from work. In addition, this group had slightly more men than the HIV-positive groups and a high percentage of current smokers. Therefore, it might be possible that the HIV-negative group does not precisely reflect CVD risk in the general, non-HIV infected population precisely. Finally, we could not correct for HIV severity at start of ART as we only had nadir CD4+ cell count for the newly diagnosed HIV-positive participants.


In this urban South African cohort, neither HIV nor ART were associated with CVD risk as assessed by CIMT and carotid distensibility. The question remains whether underlying immune activation and endothelial damage have not yet resulted in increased CIMT and reduced carotid distensibility in this young population. Future research using clinical endpoints such as stroke and myocardial infarction is needed to gain further insight into the role of HIV and ART on CVD risk in the SSA context. Routine HIV care should focus on prevention and treatment of CVD risk factors known to be major drivers of CVD risk.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.


  1. Legarth RA, Ahlstrom MG, Kronborg G, Larsen CS, Pedersen C, Pedersen G, et al. Long-term mortality in HIV-infected individuals 50 years or older: a nationwide, population-based cohort study. J Acquir Immune Defic Syndr. 2016;71(2):213–8.

    Article  PubMed  Google Scholar 

  2. Pillay-van Wyk V, Msemburi W, Laubscher R, Dorrington RE, Groenewald P, Glass T, et al. Mortality trends and differentials in South Africa from 1997 to 2012: second National Burden of Disease Study. Lancet Glob Health. 2016;4(9):e642–53.

    Article  PubMed  Google Scholar 

  3. Stats SA. Mortality and causes of death in South Africa, 2016: Findings from death notification. Statistical release P0309.3; 2018.

  4. Massyn N, Padarath A, Peer N, Day C. District Health Barometer 2016/17. Health Systems Trust; 2017(ISBN: 978-1-919839-92-9).

  5. Triant VA, Lee H, Hadigan C, Grinspoon SK. Increased acute myocardial infarction rates and cardiovascular risk factors among patients with human immunodeficiency virus disease. J Clin Endocrinol Metab. 2007;92(7):2506–12.

    Article  CAS  PubMed  Google Scholar 

  6. Freiberg MS, Chang CC, Kuller LH, Skanderson M, Lowy E, Kraemer KL, et al. HIV infection and the risk of acute myocardial infarction. JAMA Intern Med. 2013;173(8):614–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Miedema F, Hazenberg MD, Tesselaar K, van Baarle D, de Boer RJ, Borghans JA. Immune activation and collateral damage in AIDS pathogenesis. Front Immunol. 2013;26(4):298.

    Google Scholar 

  8. Nou E, Lo J, Grinspoon SK. Inflammation, immune activation, and cardiovascular disease in HIV. AIDS. 2016;30(10):1495–509.

    Article  CAS  PubMed  Google Scholar 

  9. Knobel H, Domingo P, Suarez-Lozano I, Gutierrez F, Estrada V, Palacios R, et al. Rate of cardiovascular, renal and bone disease and their major risks factors in HIV-infected individuals on antiretroviral therapy in Spain. Enferm Infecc Microbiol Clin. 2019;37(6):373–9.

    Article  Google Scholar 

  10. Joint United Nations Programme on HIV/AIDS (UNAIDS). UNAIDS DATA 2017. UNAIDS/JC2910E; 2017.

  11. Vidrine DJ. Cigarette smoking and HIV/AIDS: health implications, smoker characteristics and cessation strategies. AIDS Educ Prev. 2009;21(3 Suppl):3–13.

    Article  PubMed Central  PubMed  Google Scholar 

  12. Mdodo R, Frazier EL, Dube SR, Mattson CL, Sutton MY, Brooks JT, et al. Cigarette smoking prevalence among adults with HIV compared with the general adult population in the United States: cross-sectional surveys. Ann Intern Med. 2015;162(5):335–44.

    Article  PubMed  Google Scholar 

  13. Waweru P, Anderson R, Steel H, Venter WD, Murdoch D, Feldman C. The prevalence of smoking and the knowledge of smoking hazards and smoking cessation strategies among HIV- positive patients in Johannesburg, South Africa. S Afr Med J. 2013;103(11):858–60.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Clark SJ, Gomez-Olive FX, Houle B, Thorogood M, Klipstein-Grobusch K, Angotti N, et al. Cardiometabolic disease risk and HIV status in rural South Africa: establishing a baseline. BMC Public Health. 2015;15:135.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Gaziano TA, Abrahams-Gessel S, Gomez-Olive FX, Wade A, Crowther NJ, Alam S, et al. Cardiometabolic risk in a population of older adults with multiple co-morbidities in rural south africa: the HAALSI (Health and Aging in Africa: longitudinal studies of INDEPTH communities) study. BMC Public Health. 2017;17(1):206.

    Article  PubMed Central  PubMed  Google Scholar 

  16. Hattab S, Guiguet M, Carcelain G, Fourati S, Guihot A, Autran B, et al. Soluble biomarkers of immune activation and inflammation in HIV infection: impact of 2 years of effective first-line combination antiretroviral therapy. HIV Med. 2015;16(9):553–62.

    Article  CAS  PubMed  Google Scholar 

  17. Rudy BJ, Kapogiannis BG, Worrell C, Squires K, Bethel J, Li S, et al. Immune Reconstitution but Persistent Activation After 48 Weeks of Antiretroviral Therapy in Youth With Pre-Therapy CD4 >350 in ATN 061. J Acquir Immune Defic Syndr. 2015;69(1):52–60.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Mosepele M, Hemphill LC, Moloi W, Moyo S, Nkele I, Makhema J, et al. Pre-clinical carotid atherosclerosis and sCD163 among virally suppressed HIV patients in Botswana compared with uninfected controls. PLoS ONE. 2017;12(6):e0179994.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Gleason RL Jr, Caulk AW, Seifu D, Rosebush JC, Shapiro AM, Schwartz MH, et al. Efavirenz and ritonavir-boosted lopinavir use exhibited elevated markers of atherosclerosis across age groups in people living with HIV in Ethiopia. J Biomech. 2016;49(13):2584–92.

    Article  PubMed  Google Scholar 

  20. Graham SM, Rajwans N, Jaoko W, Estambale BB, McClelland RS, Overbaugh J, et al. Endothelial activation biomarkers increase after HIV-1 acquisition: plasma vascular cell adhesion molecule-1 predicts disease progression. AIDS. 2013;27(11):1803–13.

    Article  CAS  PubMed  Google Scholar 

  21. Mosepele M, Mohammed T, Mupfumi L, Moyo S, Bennett K, Lockman S, et al. HIV disease is associated with increased biomarkers of endothelial dysfunction despite viral suppression on long-term antiretroviral therapy in Botswana. Cardiovasc J Afr. 2018;29(3):155–61.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Owolabi MO, Agunloye AM, Umeh EO, Akpa OM. Can common carotid intima media thickness serve as an indicator of both cardiovascular phenotype and risk among black Africans? Eur J Prev Cardiol. 2015;22(11):1442–51.

    Article  CAS  PubMed  Google Scholar 

  23. Willum-Hansen T, Staessen JA, Torp-Pedersen C, Rasmussen S, Thijs L, Ibsen H, et al. Prognostic value of aortic pulse wave velocity as index of arterial stiffness in the general population. Circulation. 2006;113(5):664–70.

    Article  PubMed  Google Scholar 

  24. Townsend RR, Wilkinson IB, Schiffrin EL, Avolio AP, Chirinos JA, Cockcroft JR, et al. Recommendations for improving and standardizing vascular research on arterial stiffness: a scientific statement from the American Heart Association. Hypertension. 2015;66(3):698–722.

    Article  CAS  PubMed  Google Scholar 

  25. Venter WDF, Moorhouse M, Sokhela S, Fairlie L, Mashabane N, Masenya M, et al. Dolutegravir plus two different prodrugs of tenofovir to treat HIV. N Engl J Med. 2019;381:803–15.

    Article  CAS  PubMed  Google Scholar 

  26. Venter WDF, Kambugu A, Chersich MF, Becker S, Hill A, Arulappan N, et al. Efficacy and safety of tenofovir disoproxil fumarate versus low-dose stavudine over 96 weeks: a multi-country randomised, non-inferiority trial. J Acquir Immune Defic Syndr. 2019;80(2):224–33.

    Article  CAS  PubMed  Google Scholar 

  27. Venter WDF, Moorhouse M, Sokhela S, Serenata C, Akpomiemie G, Qavi A, et al. Low-dose ritonavir-boosted darunavir once daily versus ritonavir-boosted lopinavir for participants with less than 50 HIV RNA copies per mL (WRHI 052): a randomised, open-label, phase 3, non-inferiority trial. Lancet HIV. 2019;6(7):e428–37.

    Article  PubMed  Google Scholar 

  28. Department of Health South Africa. National hiv testing services: policy; 2016: Accessed 27 Nov 2019.

  29. World Health Organisation. WHO STEPS Instrument (Core and Expanded). Version 3.2. Accessed 07 Dec 2018.

  30. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95.

    Article  PubMed  Google Scholar 

  31. Bots ML, Evans GW, Tegeler CH, Meijer R. Carotid Intima-media Thickness Measurements: relations with Atherosclerosis, Risk of Cardiovascular Disease and Application in Randomized Controlled Trials. Chin Med J (Engl). 2016;129(2):215–26.

    Article  Google Scholar 

  32. Vos A, Tempelman H, Deville W, Barth R, Wensing A, Kretzschmar M, et al. HIV and risk of cardiovascular disease in sub-Saharan Africa: rationale and design of the Ndlovu Cohort Study. Eur J Prev Cardiol. 2017;24(10):1043–50.

    Article  PubMed  Google Scholar 

  33. Boulos NM, Gardin JM, Malik S, Postley J, Wong ND. Carotid plaque characterization, stenosis, and intima-media thickness according to age and gender in a large registry cohort. Am J Cardiol. 2016;117(7):1185–91.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Lage SG, Kopel L, Monachini MC, Medeiros CJ, Pileggi F, Polak JF, et al. Carotid arterial compliance in patients with congestive heart failure secondary to idiopathic dilated cardiomyopathy. Am J Cardiol. 1994;74(7):691–5.

    Article  CAS  PubMed  Google Scholar 

  35. van Vonderen MG, Smulders YM, Stehouwer CD, Danner SA, Gundy CM, Vos F, et al. Carotid intima-media thickness and arterial stiffness in HIV-infected patients: the role of HIV, antiretroviral therapy, and lipodystrophy. J Acquir Immune Defic Syndr. 2009;50(2):153–61.

    Article  PubMed  Google Scholar 

  36. Seaberg EC, Benning L, Sharrett AR, Lazar JM, Hodis HN, Mack WJ, et al. Association between human immunodeficiency virus infection and stiffness of the common carotid artery. Stroke. 2010;41(10):2163–70.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Idris NS, Grobbee DE, Burgner D, Cheung MM, Kurniati N, Uiterwaal CS. Effects of paediatric HIV infection on childhood vasculature. Eur Heart J. 2016;37(48):3610–6.

    Article  PubMed  Google Scholar 

  38. Grunfeld C, Delaney JA, Wanke C, Currier JS, Scherzer R, Biggs ML, et al. Preclinical atherosclerosis due to HIV infection: carotid intima-medial thickness measurements from the FRAM study. AIDS. 2009;23(14):1841–9.

    Article  PubMed  Google Scholar 

  39. Hsue PY, Ordovas K, Lee T, Reddy G, Gotway M, Schnell A, et al. Carotid intima-media thickness among human immunodeficiency virus-infected patients without coronary calcium. Am J Cardiol. 2012;109(5):742–7.

    Article  CAS  PubMed  Google Scholar 

  40. Lorenz MW, Stephan C, Harmjanz A, Staszewski S, Buehler A, Bickel M, et al. Both long-term HIV infection and highly active antiretroviral therapy are independent risk factors for early carotid atherosclerosis. Atherosclerosis. 2008;196(2):720–6.

    Article  CAS  PubMed  Google Scholar 

  41. Gupta PK, Gupta M, Lal AK, Taneja A, Taneja RS, Rewari BB. Markers of subclinical atherosclerotic disease in HIV-infected individuals. J Virus Erad. 2018;4(1):21–5.

    PubMed  PubMed Central  Google Scholar 

  42. Boyd A, Meynard JL, Morand-Joubert L, Michon A, Boccara F, Bastard JP, et al. Association of residual plasma viremia and intima-media thickness in antiretroviral-treated patients with controlled human immunodeficiency virus infection. PLoS ONE. 2014;9(11):e113876.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  43. Currier JS, Kendall MA, Zackin R, Henry WK, Alston-Smith B, Torriani FJ, et al. Carotid artery intima-media thickness and HIV infection: traditional risk factors overshadow impact of protease inhibitor exposure. AIDS. 2005;19(9):927–33.

    Article  CAS  PubMed  Google Scholar 

  44. Hileman CO, Carman TL, Longenecker CT, Labbato DE, Storer NJ, White CA, et al. Rate and predictors of carotid artery intima media thickness progression in antiretroviral-naive HIV-infected and uninfected adults: a 48-week matched prospective cohort study. Antivir Ther. 2013;18(7):921–9.

    Article  CAS  PubMed  Google Scholar 

  45. Kirichenko TV, Myasoedova VA, Shimonova TE, Melnichenko AA, Sviridov D, Sobenin IA, et al. Atherosclerosis in subjects newly diagnosed with human immunodeficiency virus infection. Biosci Rep; 2018 18;38(4). Accessed 31 Aug 2018.

  46. Fourie CM, Schutte AE, Smith W, Kruger A, van Rooyen JM. Endothelial activation and cardiometabolic profiles of treated and never-treated HIV infected Africans. Atherosclerosis. 2015;240(1):154–60.

    Article  CAS  PubMed  Google Scholar 

  47. Delaney JA, Scherzer R, Biggs ML, Shliplak MG, Polak JF, Currier JS, et al. Associations of antiretroviral drug use and HIV-specific risk factors with carotid intima-media thickness. AIDS. 2010;24(14):2201–9.

    Article  CAS  PubMed  Google Scholar 

  48. Stein JH, Ribaudo HJ, Hodis HN, Brown TT, Tran TT, Yan M, et al. A prospective, randomized clinical trial of antiretroviral therapies on carotid wall thickness. AIDS. 2015;29(14):1775–83.

    Article  CAS  PubMed  Google Scholar 

  49. Gleason RL Jr, Caulk AW, Seifu D, Parker I, Vidakovic B, Getenet H, et al. Current Efavirenz (EFV) or ritonavir-boosted lopinavir (LPV/r) use correlates with elevate markers of atherosclerosis in HIV-infected subjects in Addis Ababa, Ethiopia. PLoS ONE. 2015;10(4):e0117125.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  50. Schoffelen AF, de Groot E, Tempelman HA, Visseren FL, Hoepelman AI, Barth RE. Carotid intima media thickness in mainly female HIV-infected subjects in rural South Africa: association With cardiovascular but not HIV-related factors. Clin Infect Dis. 2015;61(10):1606–14.

    Article  CAS  PubMed  Google Scholar 

  51. Siedner MJ. START or SMART? Timing of Antiretroviral Therapy Initiation and Cardiovascular Risk for People With Human Immunodeficiency Virus Infection. Open Forum Infect Dis. 2016;3(1):32.

    Article  Google Scholar 

  52. Hanna DB, Guo M, Buzkova P, Miller TL, Post WS, Stein JH, et al. HIV infection and carotid artery intima-media thickness: pooled analyses across 5 cohorts of the NHLBI HIV-CVD collaborative. Clin Infect Dis. 2016;63(2):249–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Wester CW, Koethe JR, Shepherd BE, Stinnette SE, Rebeiro PF, Kipp AM, et al. Non-AIDS-defining events among HIV-1-infected adults receiving combination antiretroviral therapy in resource-replete versus resource-limited urban setting. AIDS. 2011;25(12):1471–9.

    Article  CAS  PubMed  Google Scholar 

  54. Benjamin LA, Corbett EL, Connor MD, Mzinganjira H, Kampondeni S, Choko A, et al. HIV, antiretroviral treatment, hypertension, and stroke in Malawian adults: a case-control study. Neurology. 2016;86(4):324–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Walker RW, Jusabani A, Aris E, Gray WK, Unwin N, Swai M, et al. Stroke risk factors in an incident population in urban and rural Tanzania: a prospective, community-based, case-control study. Lancet Glob Health. 2013;1(5):e282–8.

    Article  PubMed Central  Google Scholar 

  56. Shah ASV, Stelzle D, Lee KK, Beck EJ, Alam S, Clifford S, et al. Global burden of atherosclerotic cardiovascular disease in people living with HIV. Circulation. 2018;138(11):1100–12.

    Article  PubMed  PubMed Central  Google Scholar 

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We would like to thank the research nurse, Ms. E. Taylor, and all study participants without whom this study would not be possible.


A.G. Vos and N.J. Crowther received a grant from the National Health and Laboratory Sciences, South-Africa in 2015 (Grant No. 94566). The laboratory analysis was paid from this grant. The NHLS was not involved in of the design of the study, data collection, analysis, and interpretation of data or in writing the manuscript.

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Authors and Affiliations



AGV, REB, MM, NJC, WDFV, DEG and KKG contributed to the conception or design of the work. AGV, KH, JP, and MLB contributed to the acquisition, analysis or interpretation of data for the work. AGV, KH, REB, KK drafted the manuscript. KH, REB, JP, MM, NJC, WDFV, DEG, MLB and KKG critically revised the manuscript. All authors agree to be accountable for all aspects of work ensuring integrity and accuracy. All authors read and approved the final manuscript.

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Correspondence to Alinda G. Vos.

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The study was approved by the Human Ethics Research Committee of the University of the Witwatersrand (ethics clearance number M160130) and performed conform the Declaration of Helsinki. All participants provided written, informed consent prior to participation.

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The authors declare that they have no competing interests.

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Supplementary information

Additional file 1: Table S1.

Influence of HIV and ART status on max bulb intima-media thickness.

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Vos, A.G., Hoeve, K., Barth, R.E. et al. Cardiovascular disease risk in an urban African population: a cross-sectional analysis on the role of HIV and antiretroviral treatment. Retrovirology 16, 37 (2019).

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