scholarly journals Risk factors for HIV-associated neurocognitive disorders (HAND) in sub-Saharan Africa: The case of Yaoundé-Cameroon

2009 ◽  
Vol 285 (1-2) ◽  
pp. 149-153 ◽  
Author(s):  
A.K. Njamnshi ◽  
A.C. Zoung-Kanyi Bissek ◽  
P. Ongolo-Zogo ◽  
E.N. Tabah ◽  
A.Z. Lekoubou ◽  
...  
BMC Neurology ◽  
2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Georgette D Kanmogne ◽  
Callixte T Kuate ◽  
Lucette A Cysique ◽  
Julius Y Fonsah ◽  
Sabine Eta ◽  
...  

2019 ◽  
Vol 1 ◽  
pp. 28 ◽  
Author(s):  
Patrick N. Mwangala ◽  
Charles R. Newton ◽  
Melanie Abas ◽  
Amina Abubakar

Background: People living with HIV are at risk of developing HIV-associated neurocognitive disorders (HAND) which adversely affects their quality of life. Routine screening of HAND in HIV care is recommended to identify clinically important changes in cognitive functioning and allow for early interventions. However, HAND detection in routine clinical practice has never been reported in sub-Saharan Africa (SSA), partly due to a lack of adequately standardized screening tools. This review was conducted to identify the commonly used screening tools for HAND in SSA and document their psychometric properties and diagnostic accuracy. Methods: We searched Ovid Medline, PsycINFO and Web of Sciences databases for empirical studies published from 1/1/1980 to 31/8/2018 on HAND among adults living with HIV in SSA. Results: We identified 14 eligible studies, of which 9 were from South Africa. The International HIV Dementia Scale (IHDS) was the most frequently reported tool, being used in more than half of the studies. However most studies only reported the diagnostic accuracy of this and other tools, with specificity ranging from 37% to 81% and sensitivity ranging from 45% to 100%. Appropriate data on construct validity and reliability of tools was rarely documented. Although most tools performed well in screening for severe forms of HAND, they lacked sensitivity and specificity for mild forms of HAND. NeuroScreen, one of the newer tools, yielded good diagnostic accuracy in its initial evaluation in South Africa (81% to 93% sensitivity and 71% to 81% specificity). Conclusions: This review identified a lack of adequately standardized and contextually relevant HAND screening tools in SSA. Most screening tools for HAND used in SSA possess inadequate psychometric properties and diagnostic accuracy. There is a need for further validation of existing tools and development of new HAND screening tools in SSA.


2018 ◽  
Vol 1 ◽  
pp. 28 ◽  
Author(s):  
Patrick N. Mwangala ◽  
Charles R. Newton ◽  
Melanie Abas ◽  
Amina Abubakar

Background: People living with HIV are at risk of developing HIV-associated neurocognitive disorders (HAND) which adversely affects their quality of life. Routine screening of HAND in HIV care is recommended to identify subtle changes in cognitive functioning and allow for early interventions. However, HAND detection is rarely done in sub-Saharan Africa (SSA), partly due to a lack of adequately standardized screening tools. This review was conducted to identify the commonly used screening tools for HAND in SSA and document their psychometric properties and diagnostic accuracy.Methods:We searched Ovid Medline, PsycINFO and Web of Sciences databases for empirical studies published from 1/1/1980 to 31/8/2018 on HAND among adults living with HIV in SSA.Results:We identified 14 eligible studies, of which 9 were from South Africa. The International HIV Dementia Scale (IHDS) was the most frequently reported tool, being used in more than half of the studies. However most studies only reported the diagnostic accuracy of this and other tools, with specificity ranging from 37% to 81% and sensitivity ranging from 45% to 100%. Appropriate data on construct validity and reliability of tools was rarely documented. Although most tools performed well in screening for severe forms of HAND, they lacked sensitivity and specificity for moderate forms of HAND. NeuroScreen, one of the newer tools, yielded good diagnostic accuracy in its initial evaluation in South Africa (81% to 93% sensitivity and 71% to 81% specificity).Conclusions:This review identified a lack of adequately standardized and contextually relevant HAND screening tools in SSA. Most screening tools for HAND used in SSA possess inadequate psychometric properties and diagnostic accuracy. There is a need for further validation of existing tools and development of new tools to make them sensitive and specific enough to identify both severe and moderate forms of HAND in SSA.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Hafte Kahsay Kebede ◽  
Lillian Mwanri ◽  
Paul Ward ◽  
Hailay Abrha Gesesew

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


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e039456
Author(s):  
Leolin Katsidzira ◽  
Wisdom F Mudombi ◽  
Rudo Makunike-Mutasa ◽  
Bahtiyar Yilmaz ◽  
Annika Blank ◽  
...  

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.


2021 ◽  
Vol 6 (1) ◽  
pp. e003499
Author(s):  
Ryan G Wagner ◽  
Nigel J Crowther ◽  
Lisa K Micklesfield ◽  
Palwende Romauld Boua ◽  
Engelbert A Nonterah ◽  
...  

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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