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Namaganda MM, Mukasa Kafeero H, Nakatumba Nabende J, Kateete DP, Batte C, Wanyengera M, Jjingo D, Joloba M, Kivunike F, Ssewanyana I, Miya Y, Kato D, Ouma S, Kakembo FE, Kanyerezi S, Kabahiita JM, Muwanda F, Mboowa G. Prevalence and predictors of virological failure among the people living with HIV on antiretroviral treatment in East Africa: evidence from a systematic review with meta-analysis and meta-regression of published studies from 2016 to 2023. HIV Res Clin Pract 2025; 26:2490774. [PMID: 40219653 DOI: 10.1080/25787489.2025.2490774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2024] [Revised: 04/01/2025] [Accepted: 04/03/2025] [Indexed: 04/14/2025]
Abstract
BACKGROUND Virological failure (VF) significantly threatens the efficacy of antiretroviral therapy (ART) programs in East Africa. This systematic review and meta-analysis assess the prevalence and predictors of VF among individuals living with HIV. METHODS We searched PubMed, Web of Science, African Journals Online, and EMBASE for relevant studies. Heterogeneity was assessed using the I2 statistic, and random-effects models addressed between-study variability. Publication bias was examined through funnel plots, Egger's regression, and Begg's tests. Subgroup analyses and meta-regression explored heterogeneity sources and potential VF predictors. Analyses were conducted using MedCalc version 20.010, adhering to PRISMA 2020 guidelines. RESULTS Twenty-five records were included, with a sample size of 29,829 people living with HIV on ART. The pooled prevalence of VF in East Africa was 19.4% (95% CI: 15.2%-24.0%), with substantial heterogeneity across studies. Sociodemographic predictors of VF included male sex (30.9%, p < .001), unmarried status (28.2%, p < .001), lower educational attainment (33.0%, p < .001), non-formal employment (47.2%, p < .001), and urban residence (51.2%, p < .001). Clinical factors associated with higher VF rates were ambulatory status (44.7%, p < .001), low CD4 count (35.1%, p < .001), low haemoglobin (52.2%, p < .001), advanced HIV stage III/IV (44.2%, p < .001), HIV/TB co-infection (24.3%, p < .001), and other opportunistic infections (20.5%, p = .008). Treatment-related factors associated with VF were first-line nevirapine-based regimen (27.7%, p = .009) and poor ART adherence (41.76%, p < .001). CONCLUSION Sociodemographic factors, advanced HIV disease, co-morbidities, poor adherence, and specific first-line ART regimens are key predictors of virological failure. Targeted, multidisciplinary interventions focusing on routine viral load monitoring, adherence support, and addressing socioeconomic barriers are essential to improve ART outcomes in East Africa.
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Affiliation(s)
- Maria Magdalene Namaganda
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
- The African Center of Excellence in Bioinformatics and Data-Intensive Science (ACE), Kampala, Uganda
| | - Hussein Mukasa Kafeero
- Department of Medical Microbiology, Habib Medical School, Faculty of Health Sciences, Islamic University in Uganda, Kampala, Uganda
| | - Joyce Nakatumba Nabende
- Department of Computer Science, School of Computing and Information Technology, Makerere University, Kampala, Uganda
| | - David Patrick Kateete
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Charles Batte
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Misaki Wanyengera
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Daudi Jjingo
- The African Center of Excellence in Bioinformatics and Data-Intensive Science (ACE), Kampala, Uganda
- Department of Computer Science, School of Computing and Information Technology, Makerere University, Kampala, Uganda
| | - Moses Joloba
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Florence Kivunike
- Department of Computer Science, School of Computing and Information Technology, Makerere University, Kampala, Uganda
| | | | - Yunus Miya
- The AIDS Support Organization (TASO), Kampala, Uganda
| | - Darius Kato
- The AIDS Support Organization (TASO), Kampala, Uganda
| | - Simple Ouma
- The AIDS Support Organization (TASO), Kampala, Uganda
| | - Frederick Elishama Kakembo
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
- The African Center of Excellence in Bioinformatics and Data-Intensive Science (ACE), Kampala, Uganda
| | - Stephen Kanyerezi
- The African Center of Excellence in Bioinformatics and Data-Intensive Science (ACE), Kampala, Uganda
- Uganda National Health Laboratory Services, Kampala, Uganda
| | - Jupiter Marina Kabahiita
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Fahad Muwanda
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
- Department of Medical Microbiology, Habib Medical School, Faculty of Health Sciences, Islamic University in Uganda, Kampala, Uganda
| | - Gerald Mboowa
- Department of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda
- The African Center of Excellence in Bioinformatics and Data-Intensive Science (ACE), Kampala, Uganda
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Balew M, Abeje G, Mekonnen A, Degu G. HIV1 drug resistance among patients experiencing first-line treatment failure in Ethiopia: protocol for a systematic review and meta-analysis. Syst Rev 2024; 13:180. [PMID: 39010186 PMCID: PMC11247858 DOI: 10.1186/s13643-024-02605-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 07/06/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND The emergence of HIV drug resistance presents a substantial challenge. Current antiretroviral treatments, along with current classes, face the danger of becoming partially or entirely inactive. As a result, alternative treatment regimens are limited, and treatment choices are complicated. According to the recommendation of the WHO, nations should consider changing their first-line ART regimen if HIV drug resistance exceeds 10%. In spite of the fact that a number of primary studies have been performed on HIV drug resistance in Ethiopia, their pooled prevalence rate has not been determined in a systematic review and meta-analysis, which may provide stronger evidence. Therefore, the objective of this systematic review and meta-analysis will be to estimate the pooled prevalence rate of HIV1 drug resistance in patients with first-line treatment failure in Ethiopia. METHODS Primary studies will be identified from PubMed/MEDLINE, Scopus, Embase, Web of Science Core Collection, and Google Scholar. The period of search will be from 01 April to 30 June 2024. Studies identified through the search strategies will first be screened by titles and abstracts. Included studies meeting established criteria will be evaluated for risk of bias using the JBI checklist. Data will be extracted, and the pooled prevalence rate of HIV drug resistance will be computed using STATA 14 software. Random effect models will be used when heterogeneity is suspected. The I2 statistic and its corresponding P value will be checked to distinguish heterogeneity. Additionally, publication bias and heterogeneity will be checked using visual funnel plots, Egger's test, trim-and-fill tests, meta-regression, and subgroup analysis. To present and synthesize the results, narrative synthesis will be performed to describe study characteristics and findings, and forest plots will be used to visually represent effect sizes and confidence intervals from individual studies. DISCUSSION Estimating the pooled prevalence rate of HIV drug resistance through a systematic review and meta-analysis improves the reliability of the evidence, the availability of effective HIV treatment options, and the ability to assist in making decisions for both clinical practice and public health policy in Ethiopia. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42024533975.
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Affiliation(s)
- Melashu Balew
- School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
- Health Research Development Directorate, Amhara Public Health Institute, Bahir Dar, Ethiopia.
| | - Gedefaw Abeje
- School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Alemtsehay Mekonnen
- School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Getu Degu
- School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
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Jia DT, Carcamo PM, Diaz MM. Ongoing Healthcare Disparities in neuroHIV: Addressing Gaps in the Care Continuum. Curr HIV/AIDS Rep 2023; 20:368-378. [PMID: 37999827 DOI: 10.1007/s11904-023-00683-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2023] [Indexed: 11/25/2023]
Abstract
PURPOSE OF REVIEW We aim to review the neurological complications of HIV and the social, cultural, and economic inequalities that contribute to disparities in neuroHIV care. RECENT FINDINGS Disparities in diagnostics and care of patients with neurological infections and non-infectious conditions associated with HIV in both high-income and low-to-middle-income countries (LMIC) are common. The COVID-19 pandemic has exacerbated these disparities. Factors, such as HIV-related stigma, may deter people from accessing HIV treatment. First-line recommended treatments for neurological infections are not available in many LMICs, leading to inadequate treatment and exposure to agents with more harmful side effect profiles. Access-related factors, such as lack of transportation, lack of health insurance, and inadequate telehealth access, may increase the risk of HIV-related neurological complications. Further research is needed to increase awareness of neurological complications among providers and PWH, and regional guidelines should be considered to better address these complications.
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Affiliation(s)
- Dan Tong Jia
- Department of Neurology, Northwestern University, Chicago, IL, USA
| | - Paloma M Carcamo
- Laboratory of Epidemiology and Public Health, Yale School of Public Health, New Haven, CT, USA
- Health Innovation Laboratory, Alexander Von Humboldt Tropical Medicine Institute, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Monica M Diaz
- Department of Neurology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA.
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Limited Impact of First-Line Drug Resistance Mutations on Virologic Response Among Patients Receiving Second-Line Antiretroviral Therapy in Rural Uganda. J Acquir Immune Defic Syndr 2023; 92:84-88. [PMID: 36150042 DOI: 10.1097/qai.0000000000003103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 07/29/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Delayed detection of ART failure in settings without access to viral load (VL) monitoring has been hypothesized to lead to suboptimal response to second-line therapy due to accumulated drug resistance mutations (DRMs). We tested this hypothesis in a program setting in rural Uganda. METHODS From June 2012 to January 2014, we enrolled participants receiving nonnucleoside reverse transcriptase inhibitor-based first-line ART for ≥4 years, without access to VL monitoring. Participants who had a measured VL ≥ 1000 copies/mL on two occasions were switched to protease inhibitor-based regimens and followed every 6 months until September 2016. We measured VL at study exit. We conducted DRM testing at enrollment and study exit and examined factors associated with virologic failure. RESULTS We enrolled 137 participants (64.3% female) with a median age of 44 years and a median duration on ART of 6.0 years. In a median of 2.8 years of follow-up, 7 (5%) died, 5 (3.6%) voluntarily withdrew, and 9 (6.6%) became lost to follow-up. Of 116 participants with a VL result at study exit, 20 (17%) had VL > 1000 copies/mL. Virologic failure was associated with reporting suboptimal adherence ( P = 0.028). Of patients with DRM data at enrollment, 103 of 105 (98%) had at least 1 DRM. Participants with thymidine analog mutations at enrollment were less likely to have virologic failure at study exit (11% vs. 36%; P = 0.007). No other DRMs were associated with failure. CONCLUSION Even in the presence of multiple DRMs on first-line therapy, virologic failure after 3 years of protease inhibitor-based ART was infrequent. Suboptimal adherence to ART was associated with virologic failure.
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Costa B, Vale N. Efavirenz: History, Development and Future. Biomolecules 2022; 13:biom13010088. [PMID: 36671473 PMCID: PMC9855767 DOI: 10.3390/biom13010088] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 12/28/2022] [Accepted: 12/29/2022] [Indexed: 01/03/2023] Open
Abstract
Efavirenz (Sustiva®) is a first-generation non-nucleoside reverse transcriptase inhibitor (NNRTI) used to treat human immunodeficiency virus (HIV) type 1 infection or to prevent the spread of HIV. In 1998, the FDA authorized efavirenz for the treatment of HIV-1 infection. Patients formerly required three 200 mg efavirenz capsules daily, which was rapidly updated to a 600 mg tablet that only required one tablet per day. However, when given 600 mg once daily, plasma efavirenz concentrations were linked not only to poor HIV suppression but also to toxicity. Clinical data suggested that the standard dose of efavirenz could be reduced without compromising its effectiveness, resulting in a reduction in side effects and making the drug more affordable. Therefore, ENCORE1 was performed to compare the efficiency and safeness of a reduced dose of efavirenz (400 mg) with the standard dose (600 mg) plus two NRTI in antiretroviral-naïve HIV-infected individuals. Nowadays, due to the emergence of integrase strand transfer inhibitors (INSTIs), some consider that it is time to stop using efavirenz as a first-line treatment on a global scale, in the parts of the world where that is possible. Efavirenz has been a primary first-line antiviral drug for more than 15 years. However, at this moment, the best use for efavirenz could be for pre-exposure prophylaxis (PrEP) and repurposing in medicine.
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Affiliation(s)
- Bárbara Costa
- OncoPharma Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Doutor Plácido da Costa, 4200-450 Porto, Portugal
- CINTESIS@RISE, Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, 4200-450 Porto, Portugal
| | - Nuno Vale
- OncoPharma Research Group, Center for Health Technology and Services Research (CINTESIS), Rua Doutor Plácido da Costa, 4200-450 Porto, Portugal
- CINTESIS@RISE, Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-319 Porto, Portugal
- Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Rua Doutor Plácido da Costa, 4200-450 Porto, Portugal
- Correspondence: ; Tel.: +351-220426537
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