Frequency of and risk factors for HIV dementia in an HIV clinic in sub-Saharan Africa

Abstract Background It is known that ‘drop out’ from human immunodeficiency virus (HIV) treatment, the so called lost-to-follow-up (LTFU) occurs to persons enrolled in HIV care services. However, in sub-Saharan Africa (SSA), the risk factors for the LTFU are not well understood. Methods We performed a systematic review and meta-analysis of risk factors for LTFU among adults living with HIV in SSA. A systematic search of literature using identified keywords and index terms was conducted across five databases: MEDLINE, PubMed, CINAHL, Scopus, and Web of Science. We included quantitative studies published in English from 2002 to 2019. The Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was used for methodological validity assessment and data extraction. Mantel Haenszel method using Revman-5 software was used for meta-analysis. We demonstrated the meta-analytic measure of association using pooled odds ratio (OR), 95% confidence interval (CI) and heterogeneity using I2 tests. Results Thirty studies met the search criteria and were included in the meta-analysis. Predictors of LTFU were: demographic factors including being: (i) a male (OR = 1.2, 95% CI 1.1–1.3, I2 = 59%), (ii) between 15 and 35 years old (OR = 1.3, 95% CI 1.1–1.3, I2 = 0%), (iii) unmarried (OR = 1.2, 95% CI 1.2–1.3, I2 = 21%), (iv) a rural dweller (OR = 2.01, 95% CI 1.5–2.7, I2 = 40%), (v) unemployed (OR = 1.2, 95% CI 1.04–1.4, I2 = 58%); (vi) diagnosed with behavioral factors including illegal drug use(OR = 13.5, 95% CI 7.2–25.5, I2 = 60%), alcohol drinking (OR = 2.9, 95% CI 1.9–4.4, I2 = 39%), and tobacco smoking (OR = 2.6, 95% CI 1.6–4.3, I2 = 74%); and clinical diagnosis of mental illness (OR = 3.4, 95% CI 2.2–5.2, I2 = 1%), bed ridden or ambulatory functional status (OR = 2.2, 95% CI 1.5–3.1, I2 = 74%), low CD4 count in the last visit (OR = 1.4, 95% CI 1.1–1.9, I2 = 75%), tuberculosis co-infection (OR = 1.2, 95% CI 1.02–1.4, I2 = 66%) and a history of opportunistic infections (OR = 2.5, 95% CI 1.7–2.8, I2 = 75%). Conclusions The current review identifies demographic, behavioral and clinical factors to be determinants of LTFU. We recommend strengthening of HIV care services in SSA targeting the aforementioned group of patients. Trial registration Protocol: the PROSPERO Registration Number is CRD42018114418

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Inflammatory bowel disease in sub-Saharan Africa: a protocol of a prospective registry with a nested case–control study

BMJ Open ◽

10.1136/bmjopen-2020-039456 ◽

2020 ◽

Vol 10 (12) ◽

pp. e039456

Author(s):

Leolin Katsidzira ◽

Wisdom F Mudombi ◽

Rudo Makunike-Mutasa ◽

Bahtiyar Yilmaz ◽

Annika Blank ◽

...

Keyword(s):

Risk Factors ◽

Inflammatory Bowel Disease ◽

Case Control Study ◽

Alpha Diversity ◽

Case Control ◽

Sub Saharan Africa ◽

Inflammatory Bowel ◽

Sub Saharan ◽

Nested Case Control ◽

Control Study

IntroductionThe epidemiology of inflammatory bowel disease (IBD) in sub-Saharan Africa is poorly documented. We have started a registry to determine the burden, phenotype, risk factors, disease course and outcomes of IBD in Zimbabwe.Methods and analysisA prospective observational registry with a nested case–control study has been established at a tertiary hospital in Harare, Zimbabwe. The registry is recruiting confirmed IBD cases from the hospital, and other facilities throughout Zimbabwe. Demographic and clinical data are obtained at baseline, 6 months and annually. Two age and sex-matched non-IBD controls per case are recruited—a sibling or second-degree relative, and a randomly selected individual from the same neighbourhood. Cases and controls are interviewed for potential risk factors of IBD, and dietary intake using a food frequency questionnaire. Stool is collected for 16S rRNA-based microbiota profiling, and along with germline DNA from peripheral blood, is being biobanked. The estimated sample size is 86 cases and 172 controls, and the overall registry is anticipated to run for at least 5 years. Descriptive statistics will be used to describe the demographic and phenotypic characteristics of IBD, and incidence and prevalence will be estimated for Harare. Risk factors for IBD will be analysed using conditional logistic regression. For microbial analysis, alpha diversity and beta diversity will be compared between cases and controls, and between IBD phenotypes. Mann-Whitney U tests for alpha diversity and Adonis (Permutational Multivariate Analysis of Variance) for beta diversity will be computed.Ethics and disseminationEthical approval has been obtained from the Parirenyatwa Hospital’s and University of Zimbabwe’s research ethics committee and the Medical Research Council of Zimbabwe. Findings will be discussed with patients, and the Zimbabwean Ministry of Health. Results will be presented at scientific meetings, published in peer reviewed journals, and on social media.Trial registration numberNCT04178408.

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Estimating the burden of cardiovascular risk in community dwellers over 40 years old in South Africa, Kenya, Burkina Faso and Ghana

BMJ Global Health ◽

10.1136/bmjgh-2020-003499 ◽

2021 ◽

Vol 6 (1) ◽

pp. e003499

Author(s):

Ryan G Wagner ◽

Nigel J Crowther ◽

Lisa K Micklesfield ◽

Palwende Romauld Boua ◽

Engelbert A Nonterah ◽

...

Keyword(s):

Risk Factors ◽

Risk Factor ◽

South African ◽

Sub Saharan Africa ◽

African Countries ◽

Cvd Risk ◽

Genomic Studies ◽

Sub Saharan ◽

Context Specific ◽

The Impact

IntroductionCardiovascular disease (CVD) risk factors are increasing in sub-Saharan Africa. The impact of these risk factors on future CVD outcomes and burden is poorly understood. We examined the magnitude of modifiable risk factors, estimated future CVD risk and compared results between three commonly used 10-year CVD risk factor algorithms and their variants in four African countries.MethodsIn the Africa-Wits-INDEPTH partnership for Genomic studies (the AWI-Gen Study), 10 349 randomly sampled individuals aged 40–60 years from six sites participated in a survey, with blood pressure, blood glucose and lipid levels measured. Using these data, 10-year CVD risk estimates using Framingham, Globorisk and WHO-CVD and their office-based variants were generated. Differences in future CVD risk and results by algorithm are described using kappa and coefficients to examine agreement and correlations, respectively.ResultsThe 10-year CVD risk across all participants in all sites varied from 2.6% (95% CI: 1.6% to 4.1%) using the WHO-CVD lab algorithm to 6.5% (95% CI: 3.7% to 11.4%) using the Framingham office algorithm, with substantial differences in risk between sites. The highest risk was in South African settings (in urban Soweto: 8.9% (IQR: 5.3–15.3)). Agreement between algorithms was low to moderate (kappa from 0.03 to 0.55) and correlations ranged between 0.28 and 0.70. Depending on the algorithm used, those at high risk (defined as risk of 10-year CVD event >20%) who were under treatment for a modifiable risk factor ranged from 19.2% to 33.9%, with substantial variation by both sex and site.ConclusionThe African sites in this study are at different stages of an ongoing epidemiological transition as evidenced by both risk factor levels and estimated 10-year CVD risk. There is low correlation and disparate levels of population risk, predicted by different risk algorithms, within sites. Validating existing risk algorithms or designing context-specific 10-year CVD risk algorithms is essential for accurately defining population risk and targeting national policies and individual CVD treatment on the African continent.

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Contrasting Monetary and Multidimensional Poverty Measures in a Low-Income Sub-Saharan African Country

Social Indicators Research ◽

10.1007/s11205-020-02382-z ◽

2020 ◽

Vol 151 (2) ◽

pp. 547-574 ◽

Cited By ~ 1

Author(s):

Lukas Salecker ◽

Anar K. Ahmadov ◽

Leyla Karimli

Keyword(s):

Risk Factors ◽

Low Income ◽

Multidimensional Poverty ◽

Poverty Measurement ◽

Sub Saharan Africa ◽

Analytical Strategy ◽

Poverty Risk ◽

Two Measures ◽

Sub Saharan ◽

Over Time

AbstractDespite significant progress in poverty measurement, few studies have undertaken an in-depth comparison of monetary and multidimensional measures in the context of low-income countries and fewer still in Sub-Saharan Africa. Yet the differences can be particularly consequential in these settings. We address this gap by applying a distinct analytical strategy to the case of Rwanda. Using data from two waves of the Rwandan Integrated Household Living Conditions Survey, we combine comparing poverty rates cross-sectionally and over time, examining the overlaps and differences in the two measures, investigating poverty rates within population sub-groups, and estimating several statistical models to assess the differences between the two measures in identifying poverty risk factors. We find that using a monetary measure alone does not capture high incidence of multidimensional poverty in both waves, that it is possible to be multidimensional poor without being monetary poor, and that using a monetary measure alone overlooks significant change in multidimensional poverty over time. The two measures also differ in which poverty risk factors they put emphasis on. Relying only on monetary measures in low-income sub-Saharan Africa can send inaccurate signals to policymakers regarding the optimal design of social policies as well as monitoring their effectiveness.

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Malarial Infection in HIV Infected Pregnant Women Attending a Rural Antenatal Clinic in Nigeria

Advances in Epidemiology ◽

10.1155/2014/694213 ◽

2014 ◽

Vol 2014 ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

R. S. Houmsou ◽

B. E. Wama ◽

S. O. Elkanah ◽

L. C. Garba ◽

T. D. Hile ◽

...

Keyword(s):

Risk Factors ◽

Haemoglobin Level ◽

Pregnant Women ◽

Rural Areas ◽

First Trimester ◽

Antenatal Clinic ◽

Severe Anaemia ◽

Sub Saharan Africa ◽

Malarial Infection ◽

Sub Saharan

Malaria still remains a challenging infection affecting the lives of several HIV infected pregnant women in sub-Saharan Africa. This study was undertaken to determine malarial infection in HIV infected pregnant women in relation to sociodemographic and obstetrical factors. The study also assessed relationship between malarial infection and haemoglobin level, CD4+ counts, and ART regimen, as well as predisposing risk factors that influenced occurrence of malarial infection in the women. Thick and thin blood smears were prepared and stained with Giemsa. Haemoglobin level was determined using a hematology analyzer, while the flow cytometry was used to measure CD4+ counts. Sociodemographic and obstetrical parameters were obtained through the administration of questionnaires. Of the 159 HIV infected pregnant women examined, 33.3% (59/159) had malarial infection. Malarial infection was significantly higher in pregnant women who were divorced, 40.24% (33/82) (χ2=5.72; P=0.05), were at their first trimester (4–12 weeks), 54.8% (17/31) (χ2=14.85; P=0.01), had CD4+ = [201–500 cells/μL], 42.42% (42/99) (χ2=10.13; P=0.00), and those that had severe anaemia (<8 dg/L), 100.00% (χ2= 45.75; P=0.00). However, risk factors that influenced the occurrence of malarial infection in the pregnant women were occupation (farming) (AOR=0.226; P=0.03), marital status (divorced) (AOR=2.80; P=0.02), gestation (first trimester) (AOR=0.33; P=0.00), haemoglobin level (Hb < 8 dg/L) (AOR=0.02; P=0.00), and CD4+ counts (low CD4+) (OR=0.40; P=0.05). The study reported endemicity of malaria in HIV infected pregnant women living in rural areas of Benue State, Nigeria. Malarial infection was higher in women that were divorced, and at their first trimester, had low CD4+ count, and had severe anaemia. Farming, divorce, gestation, severe anaemia, and low CD4+ counts were predisposing risk factors that influenced malaria occurrence in the HIV infected pregnant women. It is advocated that HIV infected pregnant women should be properly and thoroughly educated on malaria preventive measures in rural areas so as to avoid unpleasant effect of malaria during their pregnancies.

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