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Browsing by Author "Chimbetete C"

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    Authors' Reply: Early Initiation of Antiretroviral Therapy Among Young Children: A Long Way to Go.
    (2015-Oct-01) Koller M; Patel K; Chi BH; Wools-Kaloustian K; Dicko F; Chokephaibulkit K; Chimbetete C; Hazra R; Ayaya S; Leroy V; Trong HK; Egger M; Davies MA; *Institute of Social & Preventive Medicine (ISPM), University of Bern, Switzerland †Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA ‡Centre for Infectious Disease Research in Zambia, Lusaka, Zambia §Department of Medicine, Indiana University School of Medicine, Indianapolis, IN ‖Department of Pediatrics, Gabriel Toure Hospital, Bamako, Mali ¶Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand #Newlands Clinic, Harare, Zimbabwe **Maternal and Pediatric Infectious Disease Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Bethesda, MD ††Department of Pediatrics, College of Health Sciences, Moi University, Kenya ‡‡INSERM, French National Institute for Health and Medical Research, U897, Bordeaux, France §§Children's Hospital 1, Ho Chi Minh City, Vietnam ‖‖School of Public Health and Family Medicine, University of Cape Town Faculty of Health Sciences, South Africa.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
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    Cervical cancer prevention and care in HIV clinics across sub-Saharan Africa: results of a facility-based survey.
    (2024-Jul) Asangbeh-Kerman SL; Davidović M; Taghavi K; Dhokotera T; Manasyan A; Sharma A; Jaquet A; Musick B; Twizere C; Chimbetete C; Murenzi G; Tweya H; Muhairwe J; Wools-Kaloustian K; Technau KG; Anastos K; Yotebieng M; Jousse M; Ezechi O; Orang'o O; Bosomprah S; Pierre Boni S; Basu P; Bohlius J; Department of Biostatistics, School of Public Health, University of Ghana, Accra, Ghana.; SolidarMed, Partnerships for Health, Maseru, Lesotho.; Programme National de Lutte contre le Cancer (PNLCa), Abidjan, Côte d'Ivoire.; Department of Medicine and Epidemiology, Albert Einstein College of Medicine, Bronx, New York, USA.; Moi University, Eldoret, Kenya.; Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.; Programme PAC-CI, Site ANRS Treichville, Abidjan, Côte d'Ivoire.; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Newlands Clinic, Harare, Zimbabwe.; Department of Clinical Sciences, Nigerian Institute of Medical Research, Lagos, Nigeria.; Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA.; Department of Paediatrics and Child Health, Rahima Moosa Mother and Child Hospital, Johannesburg-Braamfontein, South Africa.; University of Basel, Basel, Switzerland.; Empilweni Services and Research Unit, Rahima Moosa Mother and Child Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.; Graduate School for Health Sciences, University of Bern, Bern, Switzerland.; Early Detection, Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France.; SolidarMed, Partnership for Health, Chiure, Mozambique.; Institute of Global Health, University of Geneva, Geneva, Switzerland.; Centre National de Reference en Matière de VIH/SIDA, Bujumbura, Burundi.; Division of Neonatology, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, USA.; Einstein-Rwanda Research and Capacity Building Programme, Research for Development and Rwanda Military Hospital, Kigali, Rwanda.; Graduate School of Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland.; University of Bordeaux, National Institute for Health and Medical Research (INSERM) UMR 1219, Research Institute for Sustainable Development (IRD) EMR 271, Bordeaux Population Health Centre, Bordeaux, France.; International Training and Education Centre for Health (I-TECH), Lilongwe, Malawi.; Swiss Tropical and Public Health Institute, Allschwil, Switzerland.; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, Indiana, USA.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    INTRODUCTION: To eliminate cervical cancer (CC), access to and quality of prevention and care services must be monitored, particularly for women living with HIV (WLHIV). We assessed implementation practices in HIV clinics across sub-Saharan Africa (SSA) to identify gaps in the care cascade and used aggregated patient data to populate cascades for WLHIV attending HIV clinics. METHODS: Our facility-based survey was administered between November 2020 and July 2021 in 30 HIV clinics across SSA that participate in the International epidemiology Databases to Evaluate AIDS (IeDEA) consortium. We performed a qualitative site-level assessment of CC prevention and care services and analysed data from routine care of WLHIV in SSA. RESULTS: Human papillomavirus (HPV) vaccination was offered in 33% of sites. Referral for CC diagnosis (42%) and treatment (70%) was common, but not free at about 50% of sites. Most sites had electronic health information systems (90%), but data to inform indicators to monitor global targets for CC elimination in WLHIV were not routinely collected in these sites. Data were collected routinely in only 36% of sites that offered HPV vaccination, 33% of sites that offered cervical screening and 20% of sites that offered pre-cancer and CC treatment. CONCLUSIONS: Though CC prevention and care services have long been available in some HIV clinics across SSA, patient and programme monitoring need to be improved. Countries should consider leveraging their existing health information systems and use monitoring tools provided by the World Health Organization to improve CC prevention programmes and access, and to track their progress towards the goal of eliminating CC.
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    Characteristics and outcomes of adolescents living with perinatally acquired HIV within Southern Africa.
    (2020-Dec-01) Tsondai PR; Braithwaite K; Fatti G; Bolton Moore C; Chimbetete C; Rabie H; Phiri S; Sawry S; Eley B; Hobbins MA; Boulle A; Taghavi K; Sohn AH; Davies MA; Newlands Clinic, Harare, Zimbabwe.; Harriet Shezi Children's Clinic, Wits Reproductive Health and HIV Institute, University of the Witwatersrand, Faculty of Health Sciences, Johannesburg.; Lighthouse Trust Clinic, Lilongwe, Malawi.; Kheth' Impilo, AIDS Free Living, Cape Town.; Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.; Empilweni Services and Research Unit, Department of Paediatrics & Child Health, Faculty of Health Sciences, Rahima Moosa Mother and Child Hospital, University of the Witwatersrand, Johannesburg.; Red Cross War Memorial Children's Hospital and Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa.; TREAT Asia/amfAR - The Foundation for AIDS Research, Bangkok, Thailand.; Department of Medicine, University of Alabama at Birmingham, Alabama, USA.; Department of Pediatrics and Child Health, Tygerberg Hospital, Stellenbosch University, Parow, South Africa.; Centre for Infectious Disease Epidemiology & Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town.; Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.; Research & Quality Unit, SolidarMed, Lucerne.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    BACKGROUND: Using data from 15 International epidemiology Databases to Evaluate AIDS in Southern Africa sites, we compared the characteristics and outcomes of adolescents living with perinatally acquired HIV (ALPH). METHODS: We included ALPH entering care aged less than 13 years with at least one HIV care visit during adolescence (10-19 years). We compared the characteristics and cross-sectional outcomes: transfer out, loss to follow-up (no visit in the 12 months prior to database closure), mortality, and retention between those who entered care aged less than 10 vs. aged 10-13 years; and explored predictors of mortality after age 13 years using Cox Proportional Hazards models. RESULTS: Overall, 16 229 (50% female) ALPH who entered HIV care aged less than 10 years and 8897 (54% female) aged 10-13 years were included and followed for 152 574 person-years. During follow-up, 94.1% initiated antiretroviral therapy, with those who entered care aged less than 10 more likely to have initiated antiretroviral therapy [97.9%, 95% confidence interval (CI) 97.6; 98.1%] than those who presented aged 10-13 years (87.3%, 95% CI 86.6; 88.0%). At the end of follow-up, 3% had died (entered care aged <10 vs. 10-13 years; 1.4 vs. 5.1%), 22% were loss to follow-up (16.2 vs. 33.4%), and 59% (66.4 vs. 45.4%) were retained. There was no difference in the risk of dying after the age of 13 years between adolescents entering care aged less than 10 vs. 10-13 years (adjusted hazard ratio 0.72; 95% CI 0.36; 1.42). CONCLUSION: Retention outcomes for ALPH progressively worsened with increasing age, with these outcomes substantially worse among adolescents entering HIV care aged 10-13 vs. less than 10 years.
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    Characterizing the double-sided cascade of care for adolescents living with HIV transitioning to adulthood across Southern Africa.
    (2020-Jan) Tsondai PR; Sohn AH; Phiri S; Sikombe K; Sawry S; Chimbetete C; Fatti G; Hobbins MA; Technau KG; Rabie H; Bernheimer J; Fox MP; Judd A; Collins IJ; Davies MA; Newlands Clinic, Harare, Zimbabwe.; Lighthouse Trust Clinic, Lilongwe, Malawi.; Empilweni Services and Research Unit, Department of Paediatrics & Child Health, Rahima Moosa Mother and Child Hospital, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.; MRC Clinical Trials Unit at UCL, University College London (UCL), London, United Kingdom.; Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.; TREAT Asia/amfAR - The Foundation for AIDS Research, Bangkok, Thailand.; SolidarMed, Luzern, Switzerland.; Department of Paediatrics and Child Health, Tygerberg Academic Hospital, University of Stellenbosch, Stellenbosch, South Africa.; Harriet Shezi Children's Clinic, Wits Reproductive Health and HIV Research Unit, University of Witwatersrand, Johannesburg, South Africa.; Médecins Sans Frontiers, Khayelitsha, South Africa.; Kheth'Impilo, Cape Town, South Africa.; Department of Global Health and Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.; Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    INTRODUCTION: As adolescents and young people living with HIV (AYLH) age, they face a "transition cascade," a series of steps associated with transitions in their care as they become responsible for their own healthcare. In high-income countries, this usually includes transfer from predominantly paediatric/adolescent to adult clinics. In sub-Saharan Africa, paediatric HIV care is mostly provided in decentralized, non-specialist primary care clinics, where "transition" may not necessarily include transfer of care but entails becoming more autonomous for one's HIV care. Using different age thresholds as proxies for when "transition" to autonomy might occur, we evaluated pre- and post-transition outcomes among AYLH. METHODS: We included AYLH aged <16 years at enrolment, receiving antiretroviral therapy (ART) within International epidemiology Databases to Evaluate AIDS Southern Africa (IeDEA-SA) sites (2004 to 2017) with no history of transferring care. Using the ages of 16, 18, 20 and 22 years as proxies for "transition to autonomy," we compared the outcomes: no gap in care (≥2 clinic visits) and viral suppression (HIV-RNA <400 copies/mL) in the 12 months before and after each age threshold. Using log-binomial regression, we examined factors associated with no gap in care (retention) in the 12 months post-transition. RESULTS: A total of 5516 AYLH from 16 sites were included at "transition" age 16 (transition-16y), 3864 at 18 (transition-18y), 1463 at 20 (transition-20y) and 440 at 22 years (transition-22y). At transition-18y, in the 12 months pre- and post-transition, 83% versus 74% of AYLH had no gap in care (difference 9.3 (95% confidence interval (CI) 7.8 to 10.9)); while 65% versus 62% were virally suppressed (difference 2.7 (-1.0 to 6.5%)). The strongest predictor of being retained post-transition was having no gap in the preceding year, across all transition age thresholds (transition-16y: adjusted risk ratio (aRR) 1.72; 95% CI (1.60 to 1.86); transition-18y: aRR 1.76 (1.61 to 1.92); transition-20y: aRR 1.75 (1.53 to 2.01); transition-22y: aRR 1.47; (1.21 to 1.78)). CONCLUSIONS: AYLH with gaps in care need targeted support to prevent non-retention as they take on greater responsibility for their healthcare. Interventions to increase virologic suppression rates are necessary for all AYLH ageing to adulthood.
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    Cohort profile: Noncommunicable diseases and ideal cardiovascular health among people living with and without HIV in Zambia and Zimbabwe (NCDzz cohort).
    (2025-Feb-07) Chihota BV; Mandiriri A; Muula G; Banda E; Shamu T; Bolton-Moore C; Chimbetete C; Bosomprah S; Wandeler G; University of Bern Institute of Social and Preventive Medicine, Bern, Switzerland.; Newlands Clinic, Harare, Zimbabwe.; Center for Infectious Disease Research in Zambia, Lusaka, Zambia.; Department of Infectious Diseases, Inselspital University Hospital Bern, Bern, Switzerland.; The University of Alabama at Birmingham School of Medicine Tuscaloosa, Tuscaloosa, Alabama, USA.; Inselspital, University of Bern Institute of Social and Preventive Medicine, Bern, Switzerland.; University of Bern Institute of Social and Preventive Medicine, Bern, Switzerland belinda.chihota@cidrz.org.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    PURPOSE: The NCDzz study is a prospective cohort of people living with and without HIV attending primary care clinics in Zambia and Zimbabwe and was established in 2019 to understand the intersection between noncommunicable diseases (NCDs) and HIV in Southern Africa. Here, we describe the study design and population and evaluate their ideal cardiovascular health (ICVH) using the Life's Simple 7 (LS7) score according to the American Heart Association. PARTICIPANTS: Antiretroviral therapy-naïve people living with HIV (PLWH) and people living without HIV (PLWOH) 30 years or older were recruited from three primary care clinics in Lusaka and Harare, and underwent comprehensive clinical, laboratory and behavioural assessments. All study measurements are repeated during yearly follow-up visits. PLWOH were recruited from the same neighbourhoods and had similar socioeconomic conditions as PLWH. FINDINGS TO DATE: Between August 2019 and March 2023, we included 1100 adults, of whom 618 (56%) were females and 539 (49%) were PLWH. The median age at enrolment was 39 years (IQR 34-46 years). Among 1013 participants (92%) with complete data, the median LS7 score was 11/14 (IQR 10-12). Overall, 60% of participants met the criteria of ICVH metrics (5-7 ideal components) and among individual components of the LS7, more females had poor body mass index (BMI) than males, regardless of HIV status (27% vs 3%, p<0.001). Our data show no apparent difference in cardiovascular health determinants between men and women, but high BMI in women and overall high hypertension prevalence need detailed investigation. Untreated HIV (OR: 1.36 (IQR 1.05-1.78)) and being a Zambian participant (OR: 1.81 (IQR 1.31-2.51)) were associated with having ICVH metrics, whereas age older than 50 years (OR: 0.46 (IQR 0.32-0.65)) was associated with not having ICVH metrics. FUTURE PLANS: Our study will be regularly updated with upcoming analyses using prospective data including a focus on arterial hypertension and vascular function. We plan to enrich the work through conducting in-depth assessments on the determinants of cardiovascular, liver and kidney end-organ disease outcomes yearly. Additionally, we seek to pilot NCD interventions using novel methodologies like the trials within cohorts. Beyond the initial funding support, we aim to collect at minimum yearly data for an additional 5-year period.
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    Comorbidities and HIV-related factors associated with mental health symptoms and unhealthy substance use among older adults living with HIV in low- and middle-income countries: a cross-sectional study.
    (2025-Mar) Ross JL; Rupasinghe D; Chanyachukul T; Crabtree Ramírez B; Murenzi G; Kwobah E; Mureithi F; Minga A; Marbaniang I; Perazzo H; Parcesepe A; Goodrich S; Chimbetete C; Mensah E; Maruri F; Thi Hoai Nguyen D; López-Iñiguez A; Lancaster K; Byakwaga H; Tlali M; Plaisy MK; Nimkar S; Moreira R; Anastos K; Semeere A; Wandeler G; Jaquet A; Sohn A; Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.; Research for Development (RD Rwanda), Kigali, Rwanda.; National Hospital for Tropical Diseases, Hanoi, Vietnam.; Newlands Clinic, Harare, Zimbabwe.; NGO Espoir-Vie Togo, Lomé, Togo.; The HIV care clinic of the National Blood Transfusion Centre, Blood Bank Medical Centre, Abidjan, Côte d'Ivoire.; Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.; Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil.; Infectious Diseases Institute, Kampala, Uganda.; Division of Infectious Diseases, Indiana University School of Medicine, Indianapolis, Indiana, USA.; Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; AMPATH MOI University, Eldoret, Kenya.; Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.; Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland.; Montefiore Medical Center, Albert Einstein College of Medicine, New York, New York, USA.; BJ Government Medical College-JHU Clinical Research Site, Pune, India.; Centre for Infectious Disease Epidemiology & Research, School of Public Health, University of Cape Town, Cape Town, South Africa.; TREAT Asia/amfAR - The Foundation for AIDS Research, Bangkok, Thailand.; The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.; Mbarara ISS Clinic, Mbarara, Uganda.; Departamento de Infectología, Instituto Nacional de Ciencias Médicas y Nutrición, México City, México.; National Institute for Health and Medical Research (INSERM) UMR 1219, Research Institute for Sustainable Development (IRD) EMR 271, University of Bordeaux, Bordeaux Population Health Centre, Bordeaux, France.
    INTRODUCTION: People with HIV (PWH) are vulnerable to mental health and substance use disorders (MSDs), but the extent to which these are associated with other non-communicable diseases in ageing PWH populations remains poorly documented. We assessed comorbidities associated with symptoms of MSD among PWH ≥40 years in the Sentinel Research Network (SRN) of the International epidemiology Database to Evaluate AIDS (IeDEA). METHODS: Baseline data collected between June 2020 and September 2022, from 10 HIV clinics in Asia, Latin America and Africa contributing to the SRN, were analysed. Symptoms of MSDs and comorbidities were assessed using standardized questionnaires, anthropometric and laboratory tests, including weight, height, blood pressure, glucose, lipids, chronic viral hepatitis and liver transient elastography. HIV viral load, CD4 count and additional routine clinical data were accessed from participant interview or medical records. HIV and non-HIV clinical associations of mental illness symptoms and unhealthy substance use were analysed using logistic regression. Mental illness symptoms were defined as moderate-to-severe depressive symptoms (PHQ-9 score >9), moderate-to-severe anxiety symptoms (GAD-7 >9) or probable post-traumatic stress disorder (PCL-5 >32). Unhealthy substance use was defined as ASSIST score >3, or AUDIT ≥7 for women (≥8 for men). RESULTS: Of 2614 participants assessed at baseline study visits, 57% were female, median age was 50 years, median CD4 was 548 cells/mm CONCLUSIONS: Improved integration of MSD and comorbidity services in HIV clinical settings, and further research on the association between MSD and comorbidities, and care integration among older PWH in low-middle-income countries, are required.
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    Correcting mortality estimates among children and youth on antiretroviral therapy in southern Africa: A comparative analysis between a multi-country tracing study and linkage to a health information exchange.
    (2024-Aug) Nyakato P; Schomaker M; Boulle A; Euvrard J; Wood R; Eley B; Prozesky H; Christ B; Anderegg N; Ayakaka I; Rafael I; Kunzekwenyika C; Moore CB; van Lettow M; Chimbetete C; Mbewe S; Ballif M; Egger M; Yiannoutsos CT; Cornell M; Davies MA; R.M Fairbanks, School of Public Health, Department of Biostatistics, Indiana University, Indianapolis, Indiana, USA.; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; SolidarMed, Pemba, Mozambique.; Centre for Infectious Disease Epidemiology and Research, School of Public Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Newlands Clinic, Harare, Zimbabwe.; SolidarMed, Masvingo, Zimbabwe.; Department of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.; Division of Infectious Diseases, Department of Medicine, University of Stellenbosch and Tygerberg Academic Hospital, Cape Town, South Africa.; Lighthouse Trust Clinic, Lilongwe, Malawi.; SolidarMed, Maseru, Lesotho.; Khayelitsha ART Programme, Cape Town, South Africa.; Western Cape Government: Health and Wellness, Cape Town, South Africa.; Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.; Madiro, Toronto, Canada.; Department of Statistics, Ludwig-Maximilians-Universität München, Munich, Germany.; Red Cross War Memorial Children's Hospital and Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa.; Gugulethu HIV Programme and Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa.; Dignitas International, Zomba, Malawi.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    OBJECTIVES: The objective of this study is to assess the outcomes of children, adolescents and young adults with HIV reported as lost to follow-up, correct mortality estimates for children, adolescents and young adults with HIV for unascertained outcomes in those loss to follow-up (LTFU) based on tracing and linkage data separately using data from the International epidemiology Databases to Evaluate AIDS in Southern Africa. METHODS: We included data from two different populations of children, adolescents and young adults with HIV; (1) clinical data from children, adolescents and young adults with HIV aged ≤24 years from Lesotho, Malawi, Mozambique, Zambia and Zimbabwe; (2) clinical data from children, adolescents and young adults with HIV aged ≤14 years from the Western Cape (WC) in South Africa. Outcomes of patients lost to follow-up were available from (1) a tracing study and (2) linkage to a health information exchange. For both populations, we compared six methods for correcting mortality estimates for all children, adolescents and young adults with HIV. RESULTS: We found substantial variations of mortality estimates among children, adolescents and young adults with HIV reported as lost to follow-up versus those retained in care. Ascertained mortality was higher among lost and traceable children, adolescents and young adults with HIV and lower among lost and linkable than those retained in care (mortality: 13.4% [traced] vs. 12.6% [retained-other Southern Africa countries]; 3.4% [linked] vs. 9.4% [retained-WC]). A high proportion of lost to follow-up children, adolescents and young adults with HIV had self-transferred (21.0% and 47.0%) in the traced and linked samples, respectively. The uncorrected method of non-informative censoring yielded the lowest mortality estimates among all methods for both tracing (6.0%) and linkage (4.0%) approaches at 2 years from ART start. Among corrected methods using ascertained data, multiple imputation, incorporating ascertained data (MI(asc.)) and inverse probability weighting with logistic weights were most robust for the tracing approach. In contrast, for the linkage approach, MI(asc.) was the most robust. CONCLUSIONS: Our findings emphasise that lost to follow-up is non-ignorable and both tracing and linkage improved outcome ascertainment: tracing identified substantial mortality in those reported as lost to follow-up, whereas linkage did not identify out-of-facility deaths, but showed that a large proportion of those reported as lost to follow-up were self-transfers.
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    Drug Resistance in People With Viremia on Dolutegravir-based Antiretroviral Therapy in Sub-Saharan Africa: The DTG RESIST Study.
    (2025-May-20) Loosli T; Moore CB; Buzaalirwa L; Byakwaga H; Çelikağ İ; Chimbetete C; Ebasone PV; Giandhari J; Han N; Huwa J; Kasozi C; Mafoua A; Messou E; Minga A; Muula G; Muyindike W; Ndala ACM; Sauermann M; Semeere A; Singh L; Kouyos RD; Lessells R; Egger M; Centre de Traitement Ambulatoire, Brazzaville, Republic of the Congo.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Institute of Medical Virology, University of Zurich, Zurich, Switzerland.; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Newlands Clinic, Harare, Zimbabwe.; Centre National de Transfusion Sanguine, Abidjan, Côte d'Ivoire.; Center for AIDS Research, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.; Centre de Traitement Ambulatoire, Pointe Noire, Republic of the Congo.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.; Lighthouse Trust, Lilongwe, Malawi.; Centre de Prise en Charge, de Recherche et de Formation, Abidjan, Côte d'Ivoire.; KwaZulu-Natal Research Innovation and Sequencing Platform, University of KwaZulu-Natal, Durban, South Africa.; Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.; Public Health Department, Regional Referral Hospital, Masaka, Uganda.; Centre for the AIDS Programme of Research in South Africa, Durban, South Africa.; Infectious Diseases Institute, Makerere University, Kampala, Uganda.; Hôpital Jamot, Yaoundé and Regional Hospital, Limbé, Cameroon.; AIDS Healthcare Foundation Uganda Cares, Masaka, Uganda.; Centre for Infectious Disease Epidemiology and Research, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.; Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    Dolutegravir resistance is an increasing concern. An analysis of the DTG RESIST study found that among 227 integrase sequences from 7 African countries (all non-B subtypes), 59 (26.0%) had at least 1 major drug resistance mutation (primarily G118R and E138A/K/T), with 49 (21.6%) predicted to have high-level resistance to dolutegravir.
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    Effect of antiretroviral therapy care interruptions on mortality in children living with HIV.
    (2022-Apr-01) Davies C; Johnson L; Sawry S; Chimbetete C; Eley B; Vinikoor M; Technau KG; Ehmer J; Rabie H; Phiri S; Tanser F; Malisita K; Fatti G; Osler M; Wood R; Newton S; Haas A; Davies MA; Newlands Clinic, Harare, Zimbabwe.; Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Somkhele, South Africa.; Red Cross War Memorial Children's Hospital and Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa.; Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town.; School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.; Department of Paediatrics and Child Health, Tygerberg Academic Hospital, University of Stellenbosch, Stellenbosch, South Africa.; Wits Reproductive Health and HIV Institute, University of the Witwatersrand, Harriet Shezi Children's Clinic, Chris Hani Baragwanath Academic Hospital, Soweto, South Africa.; Institute of Social and Preventive Medicine, University of Bern, Switzerland.; Queen Elizabeth Central Hospital, Blantyre, Malawi.; Kheth'Impilo AIDS Free Living.; Division of Epidemiology and Biostatistics, Department of Global Health, Stellenbosch University.; Gugulethu HIV Programme and Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa.; SolidarMed, Lucerne, Switzerland.; Lighthouse Trust Clinic, Kamuzu Central Hospital, Lilongwe, Malaysia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Empilweni Services and Research Unit, Rahima Moosa Mother and Child Hospital, Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    OBJECTIVE: To evaluate the characteristics and outcomes of HIV-infected children that have care interruptions, during which the child's health status and use of medication is unknown. DESIGN: We included data on children initiating ART between 2004 and 2016 at less than 16 years old at 16 International Epidemiologic Databases to Evaluate AIDS Southern Africa cohorts. Children were classified as loss to follow up (LTFU) if they had not attended clinic for more than 180 days. Children had a care interruption if they were classified as LTFU, and subsequently returned to care. Children who died within 180 days of ART start were excluded. METHODS: The main outcome was all cause mortality. Two exposed groups were considered: those with a first care interruption within the first 6 months on ART, and those with a first care interruption after 6 months on ART. Adjusted hazard ratios were determined using a Cox regression model. RESULTS: Among 53 674 children included, 23 437 (44%) had a care interruption, of which 10 629 (20%) had a first care interruption within 6 months on ART and 12 808 (24%) had a first care interruption after 6 months on ART. Increased mortality was associated with a care interruption within 6 months on ART [adjusted hazard ratio (AHR) = 1.52, 95% CI 1.12-2.04] but not with a care interruption after 6 months on ART (AHR = 1.05, 95% CI 0.77-1.44). CONCLUSION: The findings suggest that strengthening retention of children in care in the early period after ART initiation is critical to improving paediatric ART outcomes.
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    Extending Visit Intervals for Clinically Stable Patients on Antiretroviral Therapy: Multicohort Analysis of HIV Programs in Southern Africa.
    (2019-Aug-01) Haas AD; Johnson LF; Grimsrud A; Ford N; Mugglin C; Fox MP; Euvrard J; van Lettow M; Prozesky H; Sikazwe I; Chimbetete C; Hobbins M; Kunzekwenyika C; Egger M; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Department of Internal Medicine, Health Economics and Epidemiology Research Office, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.; Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.; Global Health, Boston University School of Public Health, Boston, MA.; Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Newlands Clinic, Harare, Zimbabwe.; Department of HIV/AIDS World Health Organization, Geneva, Switzerland.; SolidarMed, Masvingo, Zimbabwe.; International AIDS Society, Cape Town, South Africa.; Division of Infectious Diseases, Department of Medicine, Tygerberg Academic Hospital, University of Stellenbosch, Cape Town, South Africa.; Dignitas International, Zomba, Malawi.; SolidarMed, Lucerne, Switzerland.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    BACKGROUND: The World Health Organization recommends differentiated antiretroviral therapy (ART) delivery with longer visit intervals for clinically stable patients. We examined time trends in visit frequency and associations between criteria for clinical stability and visit frequency in ART programs in Southern Africa. METHODS: We included adults on ART from 4 programs with viral-load monitoring, 2 programs with CD4 monitoring, and 4 programs with clinical monitoring of ART. We classified patients as clinically stable based on virological (viral load <1000 copies/mL), immunological (CD4 >200 cells/µL), or clinical (no current tuberculosis) criteria. We used Poisson regression and survival models to examine associations between criteria for clinical stability and the rate of clinic visits. RESULTS: We included 180,837 patients. There were trends toward fewer visits in more recent years and with longer ART duration. In all ART programs, clinically stable patients were seen less frequently than patients receiving failing ART, but the strength of the association varied. Adjusted incidence rate ratios comparing visit rates for stable patients with patients on failing ART were 0.82 (95% confidence interval: 0.73 to 0.90) for patients classified based on the virological criterion, 0.81 (0.69 to 0.93) for patients classified based on the clinical criterion, and 0.90 (0.85 to 0.96) for patients classified based on the immunological criterion for stability. CONCLUSION: Differences in visit rates between stable patients and patients failing ART were variable and modest overall. Larger differences were seen in programs using virological criteria for clinical stability than in programs using immunological criteria. Greater access to routine viral-load monitoring may increase scale-up of differentiated ART delivery.
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    High Unreported Mortality in Children and Youth (<25 Years) Living With HIV Who Were Lost to Care From Antiretroviral Therapy Programs in Southern Africa: Results From a Multicountry Tracing Study.
    (2022-Dec-15) Nyakato P; Christ B; Anderegg N; Muhairwe J; Jefferys L; van Dijk J; Vinikoor MJ; van Lettow M; Chimbetete C; Phiri SJ; Egger M; Ballif M; Yiannoutsos CT; Schomaker M; Kassanjee R; Davies MA; Cornell M; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Newlands Clinic, Harare, Zimbabwe.; Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine.; SolidarMed, Maseru, Lesotho.; Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Lighthouse Trust Clinic, Lilongwe, Malawi.; SolidarMed, Pemba, Mozambique.; SolidarMed, Masvingo, Zimbabwe.; R.M. Fairbanks School of Public Health, Department of Biostatistics, Indiana University, Indianapolis, IN; and.; Dignitas International, Zomba, Malawi.; Department of Statistics, Ludwig-Maximilians-Universität München, München, Germany.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    BACKGROUND: Antiretroviral therapy program mortality maybe underestimated if deceased patients are misclassified as lost. METHODS: We used two-stage inverse probability weighting to account for probability of being: sampled for tracing and found by the tracer. RESULTS: Among 680 children and youth aged <25 years on antiretroviral therapy who were lost and traced in Southern Africa between October 2017 and November 2019, estimated mortality was high at 9.1% (62/680). After adjusting for measured covariates and within-site clustering, mortality remained lower for young adults aged 20-24 years compared with infants aged <2 years [adjusted hazard ratio: 0.40 (95% confidence interval: 0.31 to 0.51)]. CONCLUSIONS: Our study confirms high unreported mortality in children and youth who are lost and the need for tracing to assess vital status among those who are lost to accurately report on program mortality.
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    Immunodeficiency in children starting antiretroviral therapy in low-, middle-, and high-income countries.
    (2015-Jan-01) Koller M; Patel K; Chi BH; Wools-Kaloustian K; Dicko F; Chokephaibulkit K; Chimbetete C; Avila D; Hazra R; Ayaya S; Leroy V; Truong HK; Egger M; Davies MA; *Institute of Social & Preventive Medicine (ISPM), University of Bern, Bern, Switzerland; †Department of Epidemiology, Harvard School of Public Health, Boston, MA; ‡Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; §Department of Medicine, Indiana University School of Medicine, Indianapolis, IN; ‖Department of Pediatrics, Gabriel Toure Hospital, Bamako, Mali; ¶Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; #Newlands Clinic, Harare, Zimbabwe; **Maternal and Pediatric Infectious Disease Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Bethesda, MD; ††Department of Pediatrics, College of Health Sciences, Moi University, Kenya; ‡‡INSERM, French National Institute for Health and Medical Research, U897, Bordeaux, France; §§Children's Hospital 1, Ho Chi Minh City, Vietnam; and ‖‖School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    BACKGROUND: The CD4 cell count or percent (CD4%) at the start of combination antiretroviral therapy (cART) is an important prognostic factor in children starting therapy and an important indicator of program performance. We describe trends and determinants of CD4 measures at cART initiation in children from low-, middle-, and high-income countries. METHODS: We included children aged <16 years from clinics participating in a collaborative study spanning sub-Saharan Africa, Asia, Latin America, and the United States. Missing CD4 values at cART start were estimated through multiple imputation. Severe immunodeficiency was defined according to World Health Organization criteria. Analyses used generalized additive mixed models adjusted for age, country, and calendar year. RESULTS: A total of 34,706 children from 9 low-income, 6 lower middle-income, 4 upper middle-income countries, and 1 high-income country (United States) were included; 20,624 children (59%) had severe immunodeficiency. In low-income countries, the estimated prevalence of children starting cART with severe immunodeficiency declined from 76% in 2004 to 63% in 2010. Corresponding figures for lower middle-income countries were from 77% to 66% and for upper middle-income countries from 75% to 58%. In the United States, the percentage decreased from 42% to 19% during the period 1996 to 2006. In low- and middle-income countries, infants and children aged 12-15 years had the highest prevalence of severe immunodeficiency at cART initiation. CONCLUSIONS: Despite progress in most low- and middle-income countries, many children continue to start cART with severe immunodeficiency. Early diagnosis and treatment of HIV-infected children to prevent morbidity and mortality associated with immunodeficiency must remain a global public health priority.
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    Incidence rate of Kaposi sarcoma in HIV-infected patients on antiretroviral therapy in Southern Africa: a prospective multicohort study.
    (2014-Dec-15) Rohner E; Valeri F; Maskew M; Prozesky H; Rabie H; Garone D; Dickinson D; Chimbetete C; Lumano-Mulenga P; Sikazwe I; Wyss N; Clough-Gorr KM; Egger M; Chi BH; Bohlius J; *Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland; †Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; ‡Division of Infectious Diseases, Department of Medicine, University of Stellenbosch and Tygerberg Academic Hospital, Cape Town, South Africa; §Department of Pediatrics and Child Health, University of Stellenbosch and Tygerberg Academic Hospital, Cape Town, South Africa; ‖Khayelitsha ART Program, Medecins Sans Frontieres, Cape Town, South Africa; ¶Independent Surgery, Gaborone, Botswana; #Newlands Clinic, Harare, Zimbabwe; **Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia; ††Boston University School of Medicine, Section of Geriatrics, Boston, MA, USA; and ‡‡Centre for Infectious Disease Epidemiology and Research (CIDER), University of Cape Town, Cape Town, South Africa.
    BACKGROUND: The risk of Kaposi sarcoma (KS) among HIV-infected persons on antiretroviral therapy (ART) is not well defined in resource-limited settings. We studied KS incidence rates and associated risk factors in children and adults on ART in Southern Africa. METHODS: We included patient data of 6 ART programs in Botswana, South Africa, Zambia, and Zimbabwe. We estimated KS incidence rates in patients on ART measuring time from 30 days after ART initiation to KS diagnosis, last follow-up visit, or death. We assessed risk factors (age, sex, calendar year, WHO stage, tuberculosis, and CD4 counts) using Cox models. FINDINGS: We analyzed data from 173,245 patients (61% female, 8% children aged <16 years) who started ART between 2004 and 2010. Five hundred and sixty-four incident cases were diagnosed during 343,927 person-years (pys). The overall KS incidence rate was 164/100,000 pys [95% confidence interval (CI): 151 to 178]. The incidence rate was highest 30-90 days after ART initiation (413/100,000 pys; 95% CI: 342 to 497) and declined thereafter [86/100,000 pys (95% CI: 71 to 105), >2 years after ART initiation]. Male sex [adjusted hazard ratio (HR): 1.34; 95% CI: 1.12 to 1.61], low current CD4 counts (≥500 versus <50 cells/μL, adjusted HR: 0.36; 95% CI: 0.23 to 0.55), and age (5-9 years versus 30-39 years, adjusted HR: 0.20; 95% CI: 0.05 to 0.79) were relevant risk factors for developing KS. INTERPRETATION: Despite ART, KS risk in HIV-infected persons in Southern Africa remains high. Early HIV testing and maintaining high CD4 counts is needed to further reduce KS-related morbidity and mortality.
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    Monitoring and switching of first-line antiretroviral therapy in adult treatment cohorts in sub-Saharan Africa: collaborative analysis.
    (2015-Jul) Haas AD; Keiser O; Balestre E; Brown S; Bissagnene E; Chimbetete C; Dabis F; Davies MA; Hoffmann CJ; Oyaro P; Parkes-Ratanshi R; Reynolds SJ; Sikazwe I; Wools-Kaloustian K; Zannou DM; Wandeler G; Egger M; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Newlands Clinic, Harare, Zimbabwe.; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Department of Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland.; Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.; Kenya Medical Research Institute - RCTP FACES Program, Kisumu, Kenya.; Johns Hopkins University, Baltimore, MD, USA; Aurum Institute, Johannesburg, South Africa.; Rakai Health Sciences Program, Entebbe, Uganda; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA; Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Indiana University School of Medicine, Indianapolis, IN, USA.; Faculté des Sciences de la Santé de l'Université d'Abomey-Calavi, and Centre de Traitement Ambulatoire du Centre National Hospitalier Universitaire Hubert Koutoukou Maga, Cotonou, Benin.; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa. Electronic address: egger@ispm.unibe.ch.; Infectious Diseases Institute, Mulago Hospital Complex, Kampala, Uganda.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Service de Maladies Infectieuses et Tropicales, Centre Hospitalier Universitaire de Treichville, Abidjan, Côte d'Ivoire.; Centre de Recherche INSERM U897, Epidemiologie-Biostatistique, Institut de Santé Publique, Epidémiologie et Développement, Université de Bordeaux, Bordeaux, France.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    BACKGROUND: HIV-1 viral load testing is recommended to monitor antiretroviral therapy (ART) but is not universally available. The aim of our study was to assess monitoring of first-line ART and switching to second-line ART in sub-Saharan Africa. METHODS: We did a collaborative analysis of cohort studies from 16 countries in east Africa, southern Africa, and west Africa that participate in the international epidemiological database to evaluate AIDS (IeDEA). We included adults infected with HIV-1 who started combination ART between January, 2004, and January, 2013. We defined switching of ART as a change from a non-nucleoside reverse-transcriptase inhibitor (NNRTI)-based regimen to one including a protease inhibitor, with adjustment of one or more nucleoside reverse-transcriptase inhibitors (NRTIs). Virological and immunological failures were defined according to WHO criteria. We calculated cumulative probabilities of switching and hazard ratios with 95% CIs comparing routine viral load monitoring, targeted viral load monitoring, CD4 monitoring, and clinical monitoring, adjusting for programme and individual characteristics. FINDINGS: Of 297,825 eligible patients, 10,352 (3%) switched to second-line ART during 782 ,412 person-years of follow-up. Compared with CD4 monitoring, hazard ratios for switching were 3·15 (95% CI 2·92-3·40) for routine viral load monitoring, 1·21 (1·13-1·30) for targeted viral load monitoring, and 0·49 (0·43-0·56) for clinical monitoring. Of 6450 patients with confirmed virological failure, 58·0% (95% CI 56·5-59·6) switched by 2 years, and of 15,892 patients with confirmed immunological failure, 19·3% (18·5-20·0) switched by 2 years. Of 10,352 patients who switched, evidence of treatment failure based on one CD4 count or viral load measurement ranged from 86 (32%) of 268 patients with clinical monitoring to 3754 (84%) of 4452 with targeted viral load monitoring. Median CD4 counts at switching were 215 cells per μL (IQR 117-335) with routine viral load monitoring, but were lower with other types of monitoring (range 114-133 cells per μL). INTERPRETATION: Overall, few patients switched to second-line ART and switching happened late in the absence of routine viral load monitoring. Switching was more common and happened earlier after initiation of ART with targeted or routine viral load testing. FUNDING: National Institute of Allergy and Infectious Diseases, Swiss National Science Foundation.
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    Prognosis of children with HIV-1 infection starting antiretroviral therapy in Southern Africa: a collaborative analysis of treatment programs.
    (2014-Jun) Davies MA; May M; Bolton-Moore C; Chimbetete C; Eley B; Garone D; Giddy J; Moultrie H; Ndirangu J; Phiri S; Rabie H; Technau KG; Wood R; Boulle A; Egger M; Keiser O; From the *School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa; †School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom; ‡Centre for Infectious Disease Research in Zambia, Lusaka, Zambia; §University of North Carolina, Chapel Hill, NC; ¶Newlands clinic, Harare, Zimbabwe; ‖Red Cross Children's Hospital and School of Child and Adolescent Health, University of Cape Town; **Médecins Sans Frontières (MSF) South Africa and Khayelitsha ART Programme, Cape Town; ††Sinikithemba Clinic, McCord Hospital, Durban; ‡‡Wits Reproductive Health and HIV Institute, University of the Witwatersrand, Johannesburg; §§Harriet Shezi Children's Clinic, Chris Hani Baragwanath Hospital, Soweto; ¶¶Africa Centre for Health and Population Studies, University of Kwazulu-Natal, Somkhele, South Africa; ‖‖Lighthouse Trust Clinic, Kamuzu Central Hospital, Lilongwe, Malawi and Liverpool School of Tropical Medicine, Liverpool, United Kingdom; ***Tygerberg Academic Hospital, University of Stellenbosch, Stellenbosch; †††Empilweni Services and Research Unit, Rahima Moosa Mother and Child Hospital, and University of the Witwatersrand, Johannesburg; ‡‡‡Gugulethu ART Programme and Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa; and §§§Institute of Social and Preventive Medicine (ISPM), University of Bern, Switzerland.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    BACKGROUND: Prognostic models for children starting antiretroviral therapy (ART) in Africa are lacking. We developed models to estimate the probability of death during the first year receiving ART in Southern Africa. METHODS: We analyzed data from children ≤10 years of age who started ART in Malawi, South Africa, Zambia or Zimbabwe from 2004 to 2010. Children lost to follow up or transferred were excluded. The primary outcome was all-cause mortality in the first year of ART. We used Weibull survival models to construct 2 prognostic models: 1 with CD4%, age, World Health Organization clinical stage, weight-for-age z-score (WAZ) and anemia and the other without CD4%, because it is not routinely measured in many programs. We used multiple imputation to account for missing data. RESULTS: Among 12,655 children, 877 (6.9%) died in the first year of ART. We excluded 1780 children who were lost to follow up/transferred from main analyses; 10,875 children were therefore included. With the CD4% model probability of death at 1 year ranged from 1.8% [95% confidence interval (CI): 1.5-2.3] in children 5-10 years with CD4% ≥10%, World Health Organization stage I/II, WAZ ≥ -2 and without severe anemia to 46.3% (95% CI: 38.2-55.2) in children <1 year with CD4% < 5%, stage III/IV, WAZ< -3 and severe anemia. The corresponding range for the model without CD4% was 2.2% (95% CI: 1.8-2.7) to 33.4% (95% CI: 28.2-39.3). Agreement between predicted and observed mortality was good (C-statistics = 0.753 and 0.745 for models with and without CD4%, respectively). CONCLUSIONS: These models may be useful to counsel children/caregivers, for program planning and to assess program outcomes after allowing for differences in patient disease severity characteristics.
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    Seasonal variations in tuberculosis diagnosis among HIV-positive individuals in Southern Africa: analysis of cohort studies at antiretroviral treatment programmes.
    (2018-Jan-11) Ballif M; Zürcher K; Reid SE; Boulle A; Fox MP; Prozesky HW; Chimbetete C; Zwahlen M; Egger M; Fenner L; Newlands Clinic, Harare, Zimbabwe.; Department of Internal Medicine, Health Economics and Epidemiology Research Office, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.; Division of Infection Diseases, University of Alabama at Birmingham, Birmingham, Alabama, USA.; Centre for Infectious Disease Epidemiology and Research (CIDER), School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.; Division of Infectious Diseases, Department of Medicine, University of Stellenbosch & Tygerberg Academic Hospital, Cape Town, South Africa.; Departments of Epidemiology and Global Health, Boston University, Boston, USA.; Institute of Social and Preventive Medicine, University of Bern, Bern, BE, Switzerland.; Médecins Sans Frontières, Khayelitsha, South Africa.; Tuberculosis Department Unit, Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
    OBJECTIVES: Seasonal variations in tuberculosis diagnoses have been attributed to seasonal climatic changes and indoor crowding during colder winter months. We investigated trends in pulmonary tuberculosis (PTB) diagnosis at antiretroviral therapy (ART) programmes in Southern Africa. SETTING: Five ART programmes participating in the International Epidemiology Database to Evaluate AIDS in South Africa, Zambia and Zimbabwe. PARTICIPANTS: We analysed data of 331 634 HIV-positive adults (>15 years), who initiated ART between January 2004 and December 2014. PRIMARY OUTCOME MEASURE: We calculated aggregated averages in monthly counts of PTB diagnoses and ART initiations. To account for time trends, we compared deviations of monthly event counts to yearly averages, and calculated correlation coefficients. We used multivariable regressions to assess associations between deviations of monthly ART initiation and PTB diagnosis counts from yearly averages, adjusted for monthly air temperatures and geographical latitude. As controls, we used Kaposi sarcoma and extrapulmonary tuberculosis (EPTB) diagnoses. RESULTS: All programmes showed monthly variations in PTB diagnoses that paralleled fluctuations in ART initiations, with recurrent patterns across 2004-2014. The strongest drops in PTB diagnoses occurred in December, followed by April-May in Zimbabwe and South Africa. This corresponded to holiday seasons, when clinical activities are reduced. We observed little monthly variation in ART initiations and PTB diagnoses in Zambia. Correlation coefficients supported parallel trends in ART initiations and PTB diagnoses (correlation coefficient: 0.28, 95% CI 0.21 to 0.35, P<0.001). Monthly temperatures and latitude did not substantially change regression coefficients between ART initiations and PTB diagnoses. Trends in Kaposi sarcoma and EPTB diagnoses similarly followed changes in ART initiations throughout the year. CONCLUSIONS: Monthly variations in PTB diagnosis at ART programmes in Southern Africa likely occurred regardless of seasonal variations in temperatures or latitude and reflected fluctuations in clinical activities and changes in health-seeking behaviour throughout the year, rather than climatic factors.
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    Tracing People Living With Human Immunodeficiency Virus Who Are Lost to Follow-up at Antiretroviral Therapy Programs in Southern Africa: A Sampling-Based Cohort Study in 6 Countries.
    (2022-Jan-29) Ballif M; Christ B; Anderegg N; Chammartin F; Muhairwe J; Jefferys L; Hector J; van Dijk J; Vinikoor MJ; van Lettow M; Chimbetete C; Phiri SJ; Onoya D; Fox MP; Egger M; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Newlands Clinic, Harare, Zimbabwe.; Lighthouse Trust Clinic, Lilongwe, Malawi.; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; SolidarMed, Maseru, Lesotho.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.; SolidarMed, Pemba, Mozambique.; SolidarMed, Masvingo, Zimbabwe.; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, South Africa.; Dignitas International, Zomba, Malawi.; Department of Epidemiology and Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.; Centre for Infectious Disease Research and Epidemiology, University of Cape Town, Cape Town, South Africa.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    BACKGROUND: Attrition threatens the success of antiretroviral therapy (ART). In this cohort study, we examined outcomes of people living with human immunodeficiency virus (PLHIV) who were lost to follow-up (LTFU) during 2014-2017 at ART programs in Southern Africa. METHODS: We confirmed LTFU (missed appointment for ≥60 or ≥90 days, according to local guidelines) by checking medical records and used a standardized protocol to trace a weighted random sample of PLHIV who were LTFU in 8 ART programs in Lesotho, Malawi, Mozambique, South Africa, Zambia, and Zimbabwe, 2017-2019. We ascertained vital status and identified predictors of mortality using logistic regression, adjusted for sex, age, time on ART, time since LTFU, travel time, and urban or rural setting. RESULTS: Among 3256 PLHIV, 385 (12%) were wrongly categorized as LTFU and 577 (17%) had missing contact details. We traced 2294 PLHIV (71%) by phone calls, home visits, or both: 768 (34% of 2294) were alive and in care, including 385 (17%) silent transfers to another clinic; 528 (23%) were alive without care or unknown care; 252 (11%) had died. Overall, the status of 1323 (41% of 3256) PLHIV remained unknown. Mortality was higher in men than women, higher in children than in young people or adults, and higher in PLHIV who had been on ART <1 year or LTFU ≥1 year and those living farther from the clinic or in rural areas. Results were heterogeneous across sites. CONCLUSIONS: Our study highlights the urgent need for better medical record systems at HIV clinics and rapid tracing of PLHIV who are LTFU.

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