Introduction The increasing highly active antiretroviral therapy (HAART) coverage in sub-Saharan Africa (SSA) has been associated with increasing cardiovascular disease (CVD) incidence. However, the epidemiology of the association between HAART and CVD risk factors in SSA is sparse. We aim to assess the extent to which HAART is associated with selected cardiovascular risk factors (hypertension, diabetes, dyslipidaemia and metabolic syndrome) in SSA.
Methods and analysis This will be a systematic review and meta-analysis of published studies on the association between HAART and CVD risk factors retrieved from Medline, Embase, Popline, Africa-Wide Information, African Index Medicus and the Cochrane library databases. Studies will be screened for eligibility according to the selection criteria by two independent reviewers. Eligible studies will be assessed for the quality of their evidence and risk of bias using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies of the National Health Institute and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach, with respect to the measured outcomes (hypertension, diabetes, dyslipidaemia and metabolic syndrome). A data abstraction form will be produced on Epi info V.7 and data analysis done on STATA V.14 statistical software. Summary estimates of measures of effects for the association between HAART use and the outcomes will be derived. Random effects meta-analyses will be performed and I2 statistic used to assess for heterogeneity between studies with respect to measured parameters. Qualitative synthesis will be used where data is insufficient to produce quantitative synthesis.
Ethics and dissemination The protocol has been reviewed by the Research Governance & Integrity Office of the Research Ethics Committee of the London School of Hygiene and Tropical Medicine and confirmed as not requiring ethical approval. The findings of this study will be made widely available especially to national HIV/AIDS committees formulating HIV/AIDS guidelines for their respective settings.
Trial registration number CRD42016042306; Pre-results.
This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Statistics from Altmetric.com
Strengths and limitations of this study
This review will provide a summary of published studies on the extent to which antiretroviral therapy is associated to cardiovascular disease risk factors (hypertension, diabetes, dyslipidaemia and metabolic syndrome).
The findings of this review will be very important to authorities involved in health policy formulation in the HIV/AIDS domain especially as several African countries are currently aligning to the WHO recommendations of test and treat for HIV/AIDS with massive HAART scale-up.
This study will be limited to sub-Saharan Africa; however, this is the region in the world with the greatest HIV/AIDS burden.
The past decade has seen the rapid increase in highly active antiretroviral therapy (HAART) coverage worldwide with about 15 million patients with HIV/AIDS having access to treatment in 2014, and more than 90% of them being from low-income and middle-income countries most affected by HIV/AIDS.1 In 2014, HAART coverage stood at 41% in Africa, however, HAART has been increasingly associated with cardiovascular disease (CVD).2–7 Several mechanisms have been proposed to explain this association among which prolonged HAART use predisposing to atherosclerosis and major cardiovascular risk factors such as diabetes mellitus (DM) and hypertension5 ,6 ,8–11 which consequently result in CVD. Even though, earlier studies already suggested a probable association between HAART and CVD, Bloomfield et al2 in a systematic review of literature found that CVD appeared to be more frequent in HIV-infected populations in low-income and middle-income countries. This is particularly important since the greatest increase in HAART coverage has been in these countries.1 In sub-Saharan Africa (SSA), this association between HAART and CVD has been confounded by the epidemiological transition characterised by the increased prevalence and incidence of non-communicable diseases due to changes in lifestyle patterns. On the other hand, there have been contrary reports of no association between exposure to HAART and CVD risk factors.12–15 Understanding the overall effect of HAART on CVD risk is therefore of public health importance since the continuous HAART scale-up has to be accompanied by appropriate guidelines and measures to ensure the long-term morbidity and mortality of these patients is not negatively affected, especially in low-income and middle-income countries with health systems inadequately equipped to manage these chronic conditions. In a recent systematic review by Dillon et al16 on the association between HIV, HAART and cardiometabolic traits in the SSA population, there was a difference in these traits between HIV-infected patients and uninfected individuals and between HAART-treated and HAART- naïve patients, suggesting a probable effect of HAART. However, this review compared the standardised mean differences in blood pressure, blood glucose and lipid profile parameters between the groups and not actually on hypertension, diabetes or dyslipidaemia, respectively. Moreover, more recent studies have been published since then comparing prevalence and incidence of these risks factors in HAART-treated and HAART-naïve patients. We therefore aim to systematically review, and, where appropriate, perform a meta-analysis of the published studies on the extent to which exposure to HAART is associated to these CVD risk factors in SSA (figure 1).
Is there an association between HAART and selected cardiovascular risk factors (hypertension, diabetes, dyslipidaemia and metabolic syndrome) in patients with HIV/AIDS in SSA?
To estimate overall measures of effect for the association between HAART and hypertension in patients with HIV/AIDS in SSA.
To estimate overall measures of effect for the association between HAART and diabetes in these patients.
To estimate overall measures of effect for the association between HAART and dyslipidaemia in these patients.
To estimate overall measures of effect for the association between HAART and metabolic syndrome in these patients.
Study research question design and eligibility criteria
This will be a systematic review and meta-analysis of published studies.
We will include:
Cross-sectional, cohort, case–control and randomised controlled trials with data on the prevalence and/or incidence of hypertension, diabetes, lipid profile or metabolic syndrome in patients with HIV/AIDS;
studies with comparable HAART-treated and HAART-naïve populations;
studies published in English and between January 1, 2003 and July 1, 2016 in the selected databases;
studies involving participants aged 18 and above, living in one of the countries in SSA.
We will exclude:
Unpublished manuscripts and conference abstracts;
studies comparing the mean blood pressure, glucose and lipid levels in the HAART-treated and HAART-naïve groups rather than the actual prevalence or incidence of hypertension, DM, dyslipidaemia and metabolic syndrome, respectively;
studies with diagnostic criteria and cut-off values for hypertension, DM, abnormal lipid profiles and metabolic syndrome different from those internationally recognised;
studies whose data will not be sufficient to calculate appropriate measures of effect;
same studies published in different journals with the same or a different title.
For studies with several publications of their findings over time, the most recent of the studies will be chosen. For the meta-analysis, studies with a documented measure of effect on the selected cardiovascular risk factors comparing the HAART-treated and HAART-naïve groups will be included. For studies without reported measures of effect, these will be computed if the provided data is adequate.
Search strategy and identification of studies
The following databases will be searched for eligible studies: Medline, Embase, Popline, Africa Wide Information, African Index Medicus and the Cochrane library. Medical subject headings (MeSH) and free text searches will be used on Medline and Embase databases (table 1). Articles returned by the search will be saved to the Zotero V.220.127.116.11 software which will be used to remove duplicates. The titles and abstracts of the articles remaining after exclusion of duplicates will be assessed for eligibility according to the inclusion and exclusion criteria. Based on the year of introduction of HAART in SSA, the review will be focused on articles published between 2003 and 2016.
The full text of all potentially eligible studies will then be reviewed by two independent reviewers (CAD and HB), and any disagreement between reviewers with respect to eligible studies for inclusion in the analysis will be settled by a third reviewer. The reference lists of eligible studies and reviews will also be assessed for more eligible studies. A list of the potentially eligible studies excluded from the final analysis will be produced with the reasons for exclusion mentioned. A Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow chart detailing the number of articles identified, screened, included and excluded will be produced.
Data abstraction, data analysis and quality assessment
A data abstraction form will be produced on Epi info V.7 statistical software and pretested by the principal investigator. The following data will be extracted from the selected studies: first author, publication year, study design and setting, duration of study, summary information of the socio-demographic and clinical details of the participants such as mean or median age, sex distribution, duration of HIV infection and of antiretroviral therapy, the measures of central tendency, disease frequency and effect for the selected cardiovascular risk factors in the HAART and HAART-naïve groups, statin use among participants, distinction between garden-variety hyperlipidaemia and that resulting from probable HAART use and any other information considered relevant. The appropriate measures of effect will be derived in studies that provide sufficient data to do so.
Data will be analysed using STATA V.14 statistical software. Owing to the possibility of heterogeneity among the studies, random effects meta-analysis models will be preferentially reported over fixed-effects models.
For objectives 1, 2, 3 and 4, ORs comparing the HAART+ and HAART− groups will be calculated and summarised. The exposure variable will be HAART use and the outcome variable will be the respective cardiovascular risk factors: hypertension, diabetes, dyslipidaemia and metabolic syndrome. These outcomes will be defined according to the standard international criteria (table 2). Pooled estimates of measures of effect will be derived using random effects models, the Cochran's Q test will be used to assess for evidence of between-study heterogeneity and the I2 test statistics will be used to assess the degree of heterogeneity among the studies. Corresponding forests plots will also be produced. The Harbord's test and the Peter's test17 will be used to statistically assess for funnel plot asymmetry and small-study effects with low p values indicating evidence of plot asymmetry, small-study effect and possibly publication bias. Metaregressions and subgroup stratified analyses will be done according to important study characteristics such as: study quality, study location, sample size, adjusting of confounders or not, antiretroviral therapy agents and regimens, statin use and any other relevant parameters identified during the abstraction, to explore if these study characteristics could be potential sources of heterogeneity among the studies. A minimum of two studies per subgroup will be considered adequate for the stratified analyses. Qualitative synthesis will be used in cases where data extracted is insufficient to perform quantitative synthesis.
Eligible studies will be assessed for the quality of their evidence and risk of bias by two independent reviewers (CAD and HB) with respect to: flaws in study design, comparability of the HAART+ and HAART− groups, inadequately measured or managed confounders, determination of associations at univariate or multivariate levels of analysis, inaccuracies in the measurements of the key parameters such as hypertension, diabetes, lipid profile and metabolic syndrome or inappropriate diagnostic cut-off values. The Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies of the National Health Institute/National Heart, Lung, and Blood Institute (table 3) which takes into account all these parameters will be used to grade the overall quality of each individual study as good, fair or poor.
The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach will be used to assess for quality of evidence provided by the included studies with respect to the measured outcomes (hypertension, diabetes, dyslipidaemia and metabolic syndrome), by the two reviewers (CAD and HB) taking into account the study limitations, inconsistencies, indirectness, imprecision and publication bias. Overall quality of evidence following assessment will be graded as high, moderate, low or very low.
Reporting and amendments to protocol
The PRISMA-P guidelines for the reporting of systematic reviews and meta-analysis protocols have been used for this systematic review protocol as illustrated on table 4. The completed report will be reported in accordance with the PRISMA guidelines using the PRISMA checklist. Amendments will be made to the study if and only if necessary and will be clearly documented and justified.
There still remains contradictory evidence on this association between HAART and CVD in SSA. As such, this review will present a summary of what is documented in SSA as far as CVD epidemiology and HIV/AIDS is concerned. This is of utmost importance since many SSA countries are currently aligning to the WHO recommendations of test and treat for HIV/AIDS. This massive HAART scale-up could be faced with rather increasing morbidity and mortality from CVDs in patients with HIV/AIDS, if these underlying mechanisms are not well understood and measures such as concurrent scale-up of CVD screening and treatment services envisaged.
Ethical considerations and dissemination
The Research Governance & Integrity Office of the Research Ethics Committee of the London School of Hygiene and Tropical Medicine reviewed the study and affirmed no ethical approval is required. The findings of this study will be made widely available to the appropriate authorities involved in health policy formulation especially with respect to HIV/AIDS treatment guidelines and also to the scientific community for subsequent updating as more recent studies become available.
Contributors CAD and HB conceived and designed the experiments. CAD produced the manuscript. HB reviewed the manuscript. Both authors approved the final copy of the manuscript.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.