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Asare K, Lewis L, van der Molen J, Sookrajh Y, Khubone T, Ngwenya T, Mkhize NS, Lessells RJ, Naidoo K, Sosibo P, Bottomley C, Garrett N, Dorward J. Impact of increasing CD4 count threshold eligibility for antiretroviral therapy initiation on advanced HIV disease and tuberculosis prevalence and incidence in South Africa: an interrupted time series analysis. BMJ Glob Health 2025; 10:e016631. [PMID: 40204463 PMCID: PMC11987148 DOI: 10.1136/bmjgh-2024-016631] [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] [Received: 06/22/2024] [Accepted: 01/31/2025] [Indexed: 04/11/2025] Open
Abstract
INTRODUCTION We investigated the impact of increasing CD4 count eligibility for antiretroviral therapy (ART) initiation on advanced HIV disease (AHD) and tuberculosis (TB) prevalence and incidence among people living with HIV (PLHIV) in South Africa. METHODS We conducted an interrupted time series analysis with de-identified data of PLHIV aged ≥15 years initiating ART between April 2012 and February 2020 at 65 primary healthcare clinics in KwaZulu-Natal, South Africa. Outcomes included monthly proportions of new ART initiators presenting with AHD (CD4 count <200 cells/µL) and TB disease. We created a cohort of monthly ART initiators without TB and evaluated the cumulative incidence of TB within 12 months follow-up. We used segmented binomial regression models to estimate relative risks (RR) of outcomes, allowing for a step and slope change after expanding the ART initiation CD4 count eligibility from <350 to <500 cells/µL in January 2015 and following Universal Test and Treat (UTT) implementation in September 2016. RESULTS Among 209 984 participants, median age was 32 (range: 26-38), and 141 499 (67.4%) were female. After January 2015, the risk of AHD at initiation decreased in step by 25.0% (RR=0.750, 95% CI 0.688 to 0.812) and further reduced by 26.9% following UTT implementation (RR=0.731, 95% CI 0.681 to 0.781). The risk of TB at initiation also decreased in step by 27.6% after January 2015 (RR=0.724, 95% CI 0.651 to 0.797) and further decreased by 17.4% after UTT implementation (RR=0.826, 95% CI 0.711 to 0.941) but remained stable among initiators with AHD. Among the incidence cohort, we saw a step decrease in the risk of new TB by 31.4% (RR=0.686, 95% CI 0.465 to 0.907) following UTT implementation. Among the incidence cohort with AHD, there was weak evidence of a step decrease in the risk of new TB (RR=0.755, 95% CI 0.489 to 1.021), but the slope decreased by 9.7% per month (RR=0.903, 95% CI 0.872 to 0.934) following UTT implementation. CONCLUSIONS Our data support the added benefit of decreased TB co-burden with expanded ART access. Early diagnosis and immediate linkage to care should be prioritised among PLHIV.
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Affiliation(s)
- Kwabena Asare
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, KwaZulu-Natal, South Africa
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, Faculty of Epidemiology and Population Health, London, UK
| | - Lara Lewis
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, KwaZulu-Natal, South Africa
| | - Johan van der Molen
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, KwaZulu-Natal, South Africa
| | - Yukteshwar Sookrajh
- eThekwini Municipality Health Unit, eThekwini Municipality, Durban, KwaZulu-Natal, South Africa
| | - Thokozani Khubone
- eThekwini Municipality Health Unit, eThekwini Municipality, Durban, KwaZulu-Natal, South Africa
| | - Thulani Ngwenya
- Bethesda Hospital, Ubombo, Umkhanyakude District, KwaZulu-Natal, South Africa
| | | | - Richard John Lessells
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, KwaZulu-Natal, South Africa
- KwaZulu-Natal Research and Innovation Sequencing Platform (KRISP), University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, KwaZulu-Natal, South Africa
- South African Medical Research Council (SAMRC)-CAPRISA-TB-HIV Pathogenesis and Treatment Research Unit, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | - Phelelani Sosibo
- eThekwini Municipality Health Unit, eThekwini Municipality, Durban, KwaZulu-Natal, South Africa
| | - Christian Bottomley
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Nigel Garrett
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, KwaZulu-Natal, South Africa
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | - Jienchi Dorward
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, KwaZulu-Natal, South Africa
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxfordshire, UK
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Nattey C, Onoya D, Shumba K, Gareta D, Macleod W, Fox MP, Puren A, Mlisana K, Bor J. Monitoring for advanced disease in the universal test and treat era: trends in CD4 count testing in South Africa. BMC GLOBAL AND PUBLIC HEALTH 2025; 3:2. [PMID: 39748443 PMCID: PMC11694356 DOI: 10.1186/s44263-024-00118-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 12/06/2024] [Indexed: 01/04/2025]
Abstract
BACKGROUND Under South Africa's Universal Test and Treat (UTT) policy, CD4 counts are no longer required to determine HIV treatment eligibility. However, CD4 count at presentation remains an important marker of disease progression. We assessed whether CD4 testing declined in the UTT era and, if so, by how much. METHODS We analysed CD4 count data from the National Health Laboratory Service (NHLS) National HIV Cohort and TIER.Net database for individuals in HIV care across five South African provinces. "First CD4 count" was defined as the first CD4 test recorded for each patient. In TIER.Net, "date of presentation" was the earliest date of HIV testing, CD4 measurement, or clinic visit. Trends in first CD4 testing volumes (2004-2018) were analyzed, with interrupted time-series analyses assessing the impact of UTT (September 2016). RESULTS Data included 5,274,218 (NHLS) and 2,265,557 (TIER.Net) individuals with a first CD4 count. In NHLS, first CD4 counts increased from 47,604 in 2004 to 383,705 in 2010 and then declined. Lower volumes were recorded in TIER.Net. Adjusting for prior trends, first CD4 counts increased slightly after UTT, by 32 individuals/day in NHLS (95% CI: - 6 to 61) and 88 individuals/day in TIER.Net (95% CI: 30 to 148). Among TIER.Net patients, the percentage with a CD4 count decreased by 4.3% (95% CI: - 5.2 to - 3.0%). CONCLUSIONS We found no major decline in CD4 testing at presentation following UTT, contrasting findings from resource-constrained settings with greater reliance on external donors.
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Affiliation(s)
- Cornelius Nattey
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa.
| | - Dorina Onoya
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Khumbo Shumba
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Dickman Gareta
- Data Science Unit, Africa Health Research Institute, Durban, South Africa
| | - William Macleod
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
| | - Matthew P Fox
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Adrian Puren
- Centre for HIV & STIs, National Health Laboratory Service, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Koleka Mlisana
- Centre for HIV & STIs, National Health Laboratory Service, National Institute for Communicable Diseases, Johannesburg, South Africa
- School of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Jacob Bor
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
- Department of Global Health, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
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D'Couto H, Thielking AM, Sewpaul R, Levy DE, Rigotti NA, Chrysanthopoulou SA, Siedner MJ, Freedberg KA, Wood R, Hyle EP, Reddy KP. The impact of tobacco smoking and smoking cessation on lung cancer and stroke incidence among people with HIV on antiretroviral therapy in South Africa: a simulation modeling study. BMJ Glob Health 2024; 9:e017049. [PMID: 39675836 DOI: 10.1136/bmjgh-2024-017049] [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: 08/08/2024] [Accepted: 11/04/2024] [Indexed: 12/17/2024] Open
Abstract
INTRODUCTION With declining HIV-related mortality, over 20% of people with HIV (PWH) in South Africa are now over age 50 years, and tobacco-related non-communicable disease burden is increasing. We quantified the impact of smoking and smoking cessation on lung cancer and stroke incidence among PWH in South Africa. METHODS Using a microsimulation model, we simulated 18 cohorts of initially virologically suppressed PWH over their lifetime, categorised by sex, initial age (35 years/45 years/55 years) and smoking status (current/former/never). Smoking status remains constant throughout the simulation; individuals with former smoking status quit at model start. PWH can disengage from HIV care and experience virological rebound. We modelled the relative risk of lung cancer for females (males) with current versus never smoking status as 16.69 (15.83), and for females (males) with former versus never smoking status as 1.99-8.80 (1.90-6.18), depending on age at cessation. Corresponding modelled relative risks of stroke were 1.79 (1.54) for current versus never smoking, and 1.00-1.29 (1.00-1.12) for former versus never smoking. We varied HIV-related and smoking-related parameters in sensitivity analyses. RESULTS Modelled female (male) PWH who stop smoking at age 45 years experience 61.3% (70.9%) and 35.6% (18.6%) lower cumulative lung cancer and stroke incidence over 25 years compared with people who continue smoking. The proportion alive and lung cancer-free or alive and stroke-free over 25 years would increase by 10.4 (9.5) or 10.5 (8.5) percentage points. In sensitivity analysis, smoking and smoking cessation have a greater impact on lung cancer and stroke cumulative incidence if competing HIV-related mortality risks are lower or if PWH experience higher lung cancer and stroke risk compared with people without HIV apart from smoking. CONCLUSION Smoking cessation could substantially reduce lung cancer and stroke risk among PWH in South Africa. To reduce the rising non-communicable disease burden among PWH, smoking cessation should become part of routine care of PWH.
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Affiliation(s)
- Helen D'Couto
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Medstar Georgetown University Hospital, Washington, DC, USA
| | - Acadia M Thielking
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
| | - Ronel Sewpaul
- Public Health, Societies and Belonging, Human Sciences Research Council, Cape Town, Western Cape, South Africa
| | - Douglas E Levy
- Harvard Medical School, Boston, MA, USA
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Boston, MA, USA
- Mongan Institute Health Policy Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Nancy A Rigotti
- Harvard Medical School, Boston, MA, USA
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Boston, MA, USA
- Mongan Institute Health Policy Research Center, Massachusetts General Hospital, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | - Mark J Siedner
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Africa Health Research Institute, Somkhele, KwaZulu-Natal, South Africa
| | - Kenneth A Freedberg
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Robin Wood
- Desmond Tutu Health Foundation, Mowbray, Cape Town, Western Cape, South Africa
- Department of Medicine, University of Cape Town, Cape Town, Western Cape, South Africa
| | - Emily P Hyle
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Krishna P Reddy
- Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Boston, MA, USA
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de Waal R, Wools-Kaloustian K, Brazier E, Althoff KN, Jaquet A, Duda SN, Kumarasamy N, Savory T, Byakwaga H, Murenzi G, Justice A, Ekouevi DK, Cesar C, Pasayan MKU, Thawani A, Kasozi C, Babakazo P, Karris M, Messou E, Cortes CP, Kunzekwenyika C, Choi JY, Owarwo NC, Niyongabo A, Marconi VC, Ezechi O, Castilho JL, Petoumenos K, Johnson L, Ford N, Kassanjee R. Global trends in CD4 count measurement and distribution at first antiretroviral treatment initiation. Clin Infect Dis 2024:ciae548. [PMID: 39501773 DOI: 10.1093/cid/ciae548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2024] [Revised: 10/16/2024] [Accepted: 11/05/2024] [Indexed: 11/10/2024] Open
Abstract
BACKGROUND While people with HIV (PWH) start antiretroviral treatment (ART) regardless of CD4 count, CD4 measurement remains crucial for detecting advanced HIV disease and evaluating ART programmes. We explored CD4 measurement (proportion of PWH with a CD4 result available) and prevalence of CD4 <200 cells/µL at ART initiation within the International epidemiology Databases to Evaluate AIDS (IeDEA) global collaboration. METHODS We included PWH at participating ART programmes who first initiated ART at age 15-80 years during 2005-2019. We described proportions of PWH (i) with CD4 (measured within 6 months before to 2 weeks after ART initiation); and (ii) among those with a CD4, with CD4 <200; by year of ART initiation and region. RESULTS We included 1,355,104 PWH from 42 countries in 7 regions; 63% were female. Median (interquartile range) age at ART initiation was 37 (31-44) in men and 32 (26-39) in women. CD4 measurement initially increased, or remained stable over time until around 2013, but then declined to low levels in some regions (Southern Africa, except South Africa: from 54 to 13%; East Africa 85 to 31%; Central Africa 72 to 20%; West Africa: 91 to 53%; and Latin America: 87 to 56%). Prevalence of CD4<200 declined over time in all regions, but plateaued after 2015 at ≥30%. CONCLUSIONS CD4 measurement has declined sharply in recent years, especially in sub-Saharan Africa. Among those with a CD4, the prevalence of CD4 <200 remains concerningly high. Scaling up CD4 testing and securing adequate funding are urgent priorities.
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Affiliation(s)
- Reneé de Waal
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa. CIDER, Level 3 Falmouth Building, Anzio Road, Observatory, 7925, South Africa
| | | | - Ellen Brazier
- Institute for Implementation Science in Population Health, City University of New York, USA
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, USA
| | - Antoine Jaquet
- National Institute for Health and Medical Research UMR 1219, Research Institute for Sustainable Development EMR 271, Bordeaux Population Health Research Centre, University of Bordeaux, France
| | - Stephany N Duda
- Department of Biomedical Informatics, Vanderbilt University Medical Center, USA
| | | | - Theodora Savory
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Helen Byakwaga
- Department of Community Health, Mbarara University of Science and Technology, Uganda
| | - Gad Murenzi
- Research for Development (RD Rwanda), and Rwanda Military Referral and Teaching Hospital, Kigali, Rwanda
| | - Amy Justice
- VA Connecticut Healthcare System, Yale Schools of Medicine and Public Health, Yale University, USA
| | - Didier K Ekouevi
- Université de Lomé, Centre de Formation et de Recherche en Santé Publique, Lomé, Togo
| | | | - Mark K U Pasayan
- Research Institute for Tropical Medicine, Muntinlupa City, Philippines
| | | | | | - Pelagie Babakazo
- Kinshasa School of Public Health, University of Kinshasa, Democratic Republic of Congo
| | - Maile Karris
- Department of Medicine, University of California San Diego, USA
| | - Eugene Messou
- Centre de Prise en charge, de Recherche et de Formation (CePReF) Yopougon-Attié, Abidjan, Côte d'Ivoire
| | - Claudia P Cortes
- Department of Internal Medicine, Faculty of Medicine, University of Chile, and Hospital Clínico San Borja Arriarán & Fundación Arriarán, Santiago, Chile
| | | | - Jun Yong Choi
- Division of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Noela C Owarwo
- Infectious Diseases Institute, Makerere University, Uganda
| | - Annabelle Niyongabo
- Association Nationale de Soutien aux Séropositifs et malades du SIDA-Santé PLUS (ANSS-Santé PLUS), Burundi
| | - Vincent C Marconi
- Emory University School of Medicine and Rollins School of Public Health, Atlanta, USA
| | - Oliver Ezechi
- Centre for Reproduction and Population Health Studies, Nigerian Institute for Medical Research, Lagos, Nigeria
| | - Jessica L Castilho
- Division of Infectious Diseases, Vanderbilt University Medical Center, TN, USA
| | - Kathy Petoumenos
- The Kirby Institute, University of New South Wales, Sydney, Australia
| | - Leigh Johnson
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa. CIDER, Level 3 Falmouth Building, Anzio Road, Observatory, 7925, South Africa
| | - Nathan Ford
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa. CIDER, Level 3 Falmouth Building, Anzio Road, Observatory, 7925, South Africa
- Department of Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland
| | - Reshma Kassanjee
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa. CIDER, Level 3 Falmouth Building, Anzio Road, Observatory, 7925, South Africa
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Ogola B, Matume ND, Tebit DM, Mavhandu-Ramarumo LG, Bessong PO. Immunologic, virologic and drug resistance outcomes in an HIV-infected prospective cohort on treatment in South Africa. PLoS One 2024; 19:e0307519. [PMID: 39186551 PMCID: PMC11346725 DOI: 10.1371/journal.pone.0307519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 07/05/2024] [Indexed: 08/28/2024] Open
Abstract
BACKGROUND In September 2016, South Africa introduced the Universal Test and Treat (UTT) programme to manage HIV infection. However, the development of drug resistance and sustaining viral suppression are challenges to the success of treatment programmes. This prospective observational study describes virologic, immunologic, and drug resistance profiles in a test and treat cohort in north-eastern South Africa. METHODS Five hundred and thirty-four HIV-1 positive antiretroviral naïve adults entering treatment programmes were enrolled between January 2016 and February 2018. Trends in CD4+ cell count, viral load, and drug resistance by examination of deep sequences were assessed at baseline and every three months, for 24 months. RESULTS Seventy-five percent were late initiators into ART (that is baseline CD4+ cell counts < 500 cells/microliter) and 16% were early initiators into ART and baseline CD4 was not available for 9%. Eleven percent (12/104) achieved immunological response after 6 months, 39.4% (41 /104) after 12 months, and 97.5% (101/104) after 24 months. Seventy-one percent (381/534) had baseline viral loads >1000 RNA copies/ml. Nine percent (22/246) achieved viral suppression after 3 months, 50% (122/246) after 6 months and 73.6% (181/246) after 12 months. A slower viral suppression was observed for males than females (p value = 0.012). A total of 45.6% (52/114) individuals had at least one drug resistance mutation (DRM) detected at >20% threshold in any of the time points, and the number increased to 55% (63/114) when minor variants were accounted for. Forty-eight percent (14/29) had drug resistance mutations at >5% threshold as early as 3 months into treatment. CONCLUSION The UNAIDS target of 95% viral suppression in individuals under treatment was not observed after 12 months of treatment, and this was less successful for males. Adherence and drug resistance monitoring could be beneficial for individuals harbouring resistant viruses early into treatment.
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Affiliation(s)
- Bixa Ogola
- SAMRC-UNIVEN Antimicrobial Resistance and Global Health Research Unit, HIV/AIDS & Global Health Research Programme, University of Venda, Thohoyandou, South Africa
| | - Nontokozo D. Matume
- SAMRC-UNIVEN Antimicrobial Resistance and Global Health Research Unit, HIV/AIDS & Global Health Research Programme, University of Venda, Thohoyandou, South Africa
- Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Denis M. Tebit
- SAMRC-UNIVEN Antimicrobial Resistance and Global Health Research Unit, HIV/AIDS & Global Health Research Programme, University of Venda, Thohoyandou, South Africa
- Global Biomed Scientific LLC, Forest, VA, United States of America
| | - Lufuno G. Mavhandu-Ramarumo
- SAMRC-UNIVEN Antimicrobial Resistance and Global Health Research Unit, HIV/AIDS & Global Health Research Programme, University of Venda, Thohoyandou, South Africa
| | - Pascal Obong Bessong
- SAMRC-UNIVEN Antimicrobial Resistance and Global Health Research Unit, HIV/AIDS & Global Health Research Programme, University of Venda, Thohoyandou, South Africa
- Center for Global Health Equity, University of Virginia, Charlottesville, Virginia, United States of America
- School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
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Thielking AM, Fitzmaurice KP, Sewpaul R, Chrysanthopoulou SA, Dike L, Levy DE, Rigotti NA, Siedner MJ, Wood R, Paltiel AD, Freedberg KA, Hyle EP, Reddy KP. Tobacco smoking, smoking cessation and life expectancy among people with HIV on antiretroviral therapy in South Africa: a simulation modelling study. J Int AIDS Soc 2024; 27:e26315. [PMID: 38924347 PMCID: PMC11197963 DOI: 10.1002/jia2.26315] [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] [Received: 10/20/2023] [Accepted: 06/04/2024] [Indexed: 06/28/2024] Open
Abstract
INTRODUCTION As access to effective antiretroviral therapy (ART) has improved globally, tobacco-related illnesses, including cardiovascular disease, cancer and chronic respiratory conditions, account for a growing proportion of deaths among people with HIV (PWH). We estimated the impact of tobacco smoking and smoking cessation on life expectancy among PWH in South Africa. METHODS In a microsimulation model, we simulated 18 cohorts of PWH with virologic suppression, each homogenous by sex, initial age (35y/45y/55y) and smoking status (current/former/never). Input parameters were from data sources published between 2008 and 2022. We used South African data to estimate age-stratified mortality hazard ratios: 1.2-2.3 (females)/1.1-1.9 (males) for people with current versus never smoking status; and 1.0-1.3 (females)/1.0-1.5 (males) for people with former versus never smoking status, depending on age at cessation. We assumed smoking status remains unchanged during the simulation; people who formerly smoked quit at model start. Simulated PWH face a monthly probability of disengagement from care and virologic non-suppression. In sensitivity analysis, we varied smoking-associated and HIV-associated mortality risks. Additionally, we estimated the total life-years gained if a proportion of all virologically suppressed PWH stopped smoking. RESULTS Forty-five-year-old females/males with HIV with virologic suppression who smoke lose 5.3/3.7 life-years compared to PWH who never smoke. Smoking cessation at age 45y adds 3.4/2.4 life-years. Simulated PWH who continue smoking lose more life-years from smoking than from HIV (females, 5.3 vs. 3.0 life-years; males, 3.7 vs. 2.6 life-years). The impact of smoking and smoking cessation increase as smoking-associated mortality risks increase and HIV-associated mortality risks, including disengagement from care, decrease. Model results are most sensitive to the smoking-associated mortality hazard ratio; varying this parameter results in 1.0-5.1 life-years gained from cessation at age 45y. If 10-25% of virologically suppressed PWH aged 30-59y in South Africa stopped smoking now, 190,000-460,000 life-years would be gained. CONCLUSIONS Among virologically suppressed PWH in South Africa, tobacco smoking decreases life expectancy more than HIV. Integrating tobacco cessation interventions into HIV care, as endorsed by the World Health Organization, could substantially improve life expectancy.
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Affiliation(s)
- Acadia M. Thielking
- Medical Practice Evaluation CenterMassachusetts General HospitalBostonMassachusettsUSA
| | - Kieran P. Fitzmaurice
- Medical Practice Evaluation CenterMassachusetts General HospitalBostonMassachusettsUSA
| | - Ronel Sewpaul
- Human and Social Capabilities, Human Sciences Research CouncilCape TownSouth Africa
| | | | - Lotanna Dike
- Medical Practice Evaluation CenterMassachusetts General HospitalBostonMassachusettsUSA
| | - Douglas E. Levy
- Harvard Medical SchoolBostonMassachusettsUSA
- Tobacco Research and Treatment CenterMassachusetts General HospitalBostonMassachusettsUSA
- Mongan Institute Health Policy Research CenterMassachusetts General HospitalBostonMassachusettsUSA
| | - Nancy A. Rigotti
- Harvard Medical SchoolBostonMassachusettsUSA
- Tobacco Research and Treatment CenterMassachusetts General HospitalBostonMassachusettsUSA
- Mongan Institute Health Policy Research CenterMassachusetts General HospitalBostonMassachusettsUSA
- Division of General Internal MedicineMassachusetts General HospitalBostonMassachusettsUSA
| | - Mark J. Siedner
- Medical Practice Evaluation CenterMassachusetts General HospitalBostonMassachusettsUSA
- Harvard Medical SchoolBostonMassachusettsUSA
- Division of Infectious DiseasesMassachusetts General HospitalBostonMassachusettsUSA
- Africa Health Research InstituteSomkheleSouth Africa
| | - Robin Wood
- Desmond Tutu Health Foundation, MowbrayCape TownSouth Africa
- Department of MedicineUniversity of Cape TownCape TownSouth Africa
| | - A. David Paltiel
- Public Health Modeling UnitYale School of Public HealthNew HavenConnecticutUSA
| | - Kenneth A. Freedberg
- Medical Practice Evaluation CenterMassachusetts General HospitalBostonMassachusettsUSA
- Harvard Medical SchoolBostonMassachusettsUSA
- Division of General Internal MedicineMassachusetts General HospitalBostonMassachusettsUSA
- Division of Infectious DiseasesMassachusetts General HospitalBostonMassachusettsUSA
- Department of Health Policy and ManagementHarvard T. H. Chan School of Public HealthBostonMassachusettsUSA
| | - Emily P. Hyle
- Medical Practice Evaluation CenterMassachusetts General HospitalBostonMassachusettsUSA
- Harvard Medical SchoolBostonMassachusettsUSA
- Division of Infectious DiseasesMassachusetts General HospitalBostonMassachusettsUSA
| | - Krishna P. Reddy
- Medical Practice Evaluation CenterMassachusetts General HospitalBostonMassachusettsUSA
- Harvard Medical SchoolBostonMassachusettsUSA
- Tobacco Research and Treatment CenterMassachusetts General HospitalBostonMassachusettsUSA
- Division of Pulmonary and Critical Care MedicineMassachusetts General HospitalBostonMassachusettsUSA
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Wu X, Wu G, Ma P, Wang R, Li L, Sun Y, Xu J, Li Y, Zhang T, Li Q, Yang Y, Wang L, Xin X, Qiao Y, Fang B, Lu Z, Zhou X, Chen Y, Liu Q, Fu G, Wei H, Huang X, Su B, Wang H, Zou H. Immediate and long-term outcomes after treat-all among people living with HIV in China: an interrupted time series analysis. Infect Dis Poverty 2023; 12:73. [PMID: 37580822 PMCID: PMC10424386 DOI: 10.1186/s40249-023-01119-7] [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] [Received: 04/24/2023] [Accepted: 07/12/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND In 2003, China implemented free antiretroviral therapy (ART) for people living with HIV (PLHIV), establishing an eligibility threshold of CD4 < 200 cells/μl. Subsequently, the entry criteria were revised in 2012 (eligibility threshold: CD4 ≤ 350 cells/μl), 2014 (CD4 ≤ 500 cells/μl), and 2016 (treat-all). However, the impact of treat-all policy on HIV care and treatment indicators in China is unknown. We aimed to elucidate the immediate and long-term impact of the implementation of treat-all policy in China. METHODS Anonymized programmatic data on ART initiation and collection in PLHIV who newly started ART were retrieved between 1 January 2015 and 31 December 2019, from two provincial and municipal Centers for Disease Control and Prevention and ten major infectious disease hospitals specialized in HIV care in China. We used Poisson and quasi-Poisson segmented regression models to estimate the immediate and long-term impact of treat-all on three key indicators: monthly proportion of 30-day ART initiation, mean CD4 counts (cells/μl) at ART initiation, and mean estimated time from infection to diagnosis (year). We built separate models according to gender, age, route of transmission and region. RESULTS Monthly data on ART initiation and collection were available for 75,516 individuals [gender: 83.8% males; age: median 39 years, interquartile range (IQR): 28-53; region: 18.5% Northern China, 10.9% Northeastern China, 17.5% Southern China, 49.2% Southwestern China]. In the first month of treat-all, compared with the contemporaneous counterfactual, there was a significant increase in proportion of 30-day ART initiation [+ 12.6%, incidence rate ratio (IRR) = 1.126, 95% CI: 1.033-1.229; P = 0.007] and mean estimated time from infection to diagnosis (+ 7.0%, IRR = 1.070, 95% CI: 1.021-1.120; P = 0.004), while there was no significant change in mean CD4 at ART initiation (IRR = 0.990, 95% CI: 0.956-1.026; P = 0.585). By December 2019, the three outcomes were not significantly different from expected levels. In the stratified analysis, compared with the contemporaneous counterfactual, mean CD4 at ART initiation showed significant increases in Northern China (+ 3.3%, IRR = 1.033, 95% CI: 1.001-1.065; P = 0.041) and Northeastern China (+ 8.0%, IRR = 1.080, 95% CI: 1.003-1.164; P = 0.042) in the first month of treat-all; mean estimated time from infection to diagnosis showed significant increases in male (+ 5.6%, IRR = 1.056, 95% CI: 1.010-1.104; P = 0.016), female (+ 14.8%, IRR = 1.148, 95% CI: 1.062-1.240; P < 0.001), aged 26-35 (+ 5.3%, IRR = 1.053, 95% CI: 1.001-1.109; P = 0.048) and > 50 (+ 7.8%, IRR = 1.078, 95% CI: 1.000-1.161; P = 0.046), heterosexual transmission (+ 12.4%, IRR = 1.124, 95% CI: 1.042-1.213; P = 0.002) and Southwestern China (+ 12.9%, IRR = 1.129, 95% CI: 1.055-1.208; P < 0.001) in the first month of treat-all. CONCLUSIONS The implementation of treat-all policy in China was associated with a positive effect on HIV care and treatment outcomes. To advance the work of rapid ART, efforts should be made to streamline the testing and ART initiation process, provide comprehensive support services, and address the issue of uneven distribution of medical resources.
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Affiliation(s)
- Xinsheng Wu
- Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
| | - Guohui Wu
- Institute for AIDS/STD Control and Prevention, Chongqing Center for Disease Control and Prevention, Chongqing, People's Republic of China
| | - Ping Ma
- Department of Infectious Diseases, Tianjin Second People's Hospital, Tianjin, People's Republic of China
- Tianjin Association of STD/AIDS Prevention and Control, Tianjin, People's Republic of China
| | - Rugang Wang
- Dalian Public Health Clinical Center, Dalian, People's Republic of China
| | - Linghua Li
- Infectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Yinghui Sun
- Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
| | - Junjie Xu
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, People's Republic of China
| | - Yuwei Li
- Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
| | - Tong Zhang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, No.8 Xitoutiao, Youanmenwai, Feng Tai District, Beijing, 100069, People's Republic of China
| | - Quanmin Li
- Infectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Yuecheng Yang
- Dehong Prefecture Center for Disease Control and Prevention, Dehong, People's Republic of China
| | - Lijing Wang
- Shijiazhuang Fifth Hospital, Shijiazhuang, People's Republic of China
| | - Xiaoli Xin
- No.6 People's Hospital of Shenyang, Shenyang, People's Republic of China
| | - Ying Qiao
- No.2 Hospital of Hohhot, Hohhot, People's Republic of China
| | - Bingxue Fang
- Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
| | - Zhen Lu
- Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
| | - Xinyi Zhou
- Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
| | - Yuanyi Chen
- Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
| | - Qi Liu
- Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
- School of Public Health (Shenzhen), Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China
| | - Gengfeng Fu
- Department of STD/AIDS Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, People's Republic of China
| | - Hongxia Wei
- Department of Infectious Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, 1-1 Zhongfu Road, Nanjing, 210036, Jiangsu, People's Republic of China.
| | - Xiaojie Huang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, No.8 Xitoutiao, Youanmenwai, Feng Tai District, Beijing, 100069, People's Republic of China.
| | - Bin Su
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, No.8 Xitoutiao, Youanmenwai, Feng Tai District, Beijing, 100069, People's Republic of China.
| | - Hui Wang
- National Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern, University of Science and Technology, Bulan Road 29#, Longgang District, Shenzhen, 518112, Guangdong, People's Republic of China.
| | - Huachun Zou
- School of Public Health, Fudan University, 130 Dongan Road, Xuhui District, Shanghai, 200032, People's Republic of China.
- School of Public Health, Southwest Medical University, Luzhou, People's Republic of China.
- Kirby Institute, University of New South Wales, Sydney, Australia.
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Kagujje M, Mwanza W, Somwe P, Chilukutu L, Creswell J, Muyoyeta M. Sensitivity and specificity of CRP and symptom screening as tuberculosis screening tools among HIV-positive and negative outpatients at a primary healthcare facility in Lusaka, Zambia: a prospective cross-sectional study. BMJ Open 2023; 13:e061907. [PMID: 37072353 PMCID: PMC10124229 DOI: 10.1136/bmjopen-2022-061907] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/22/2023] [Indexed: 04/20/2023] Open
Abstract
OBJECTIVES To evaluate the performance of point-of-care C-reactive protein (CRP) as a screening tool for tuberculosis (TB) using a threshold of 10 mg/L in both people living with HIV (PLHIV) and HIV-negative individuals and compare it to symptom screening using a composite reference for bacteriological confirmation of TB. METHODS Prospective cross-sectional study. SETTING A primary healthcare facility in Lusaka, Zambia. PARTICIPANTS Consecutive adults (≥18 years) presenting for routine outpatient healthcare were enrolled. Of the 816 individuals approached to participate in the study, 804 eligible consenting adults were enrolled into the study, of which 783 were included in the analysis. PRIMARY OUTCOME MEASURES Sensitivity, specificity, positive predictive value and negative predictive value (NPV) of CRP and symptom screening. RESULTS Overall, sensitivity of WHO-recommended four-symptom screen (W4SS) and CRP were 87.2% (80.0-92.5) and 86.6% (79.6-91.8) while specificity was 30.3% (26.7-34.1) and 34.8% (31.2-38.6), respectively. Among PLHIV, sensitivity of W4SS and CRP was 92.2% (81.1-97.8) and 94.8% (85.6-98.9) while specificity was 37.0% (31.3-43.0) and 27.5% (22.4-33.1), respectively. Among those with CD4≥350, the NPV for CRP was 100% (92.9-100). In the HIV negative, sensitivity of W4SS and CRP was 83.8% (73.4-91.3) and 80.3% (69.5-88.5) while specificity was 25.4% (20.9-30.2) and 40.5% (35.3-45.6), respectively. Parallel use of CRP and W4SS yielded a sensitivity and NPV of 100% (93.8-100) and 100% (91.6-100) among PLHIV and 93.3% (85.1-97.8) and 90.0% (78.2-96.7) among the HIV negatives, respectively. CONCLUSION Sensitivity and specificity of CRP were similar to symptom screening in HIV-positive outpatients. Independent use of CRP offered limited additional benefit in the HIV negative. CRP can independently accurately rule out TB in PLHIV with CD4≥350. Parallel use of CRP and W4SS improves sensitivity irrespective of HIV status and can accurately rule out TB in PLHIV, irrespective of CD4 count.
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Affiliation(s)
- Mary Kagujje
- Tuberculosis Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Winnie Mwanza
- Tuberculosis Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Paul Somwe
- Strategic Information Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Lophina Chilukutu
- Tuberculosis Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - Jacob Creswell
- Innovations and Grants, Stop TB Partnership, Geneva, Switzerland
| | - Monde Muyoyeta
- Tuberculosis Department, Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
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Tuberculosis-Associated Immune Reconstitution Inflammatory Syndrome-An Extempore Game of Misfiring with Defense Arsenals. Pathogens 2023; 12:pathogens12020210. [PMID: 36839482 PMCID: PMC9964757 DOI: 10.3390/pathogens12020210] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/21/2023] [Accepted: 01/28/2023] [Indexed: 01/31/2023] Open
Abstract
The lethal combination involving TB and HIV, known as "syndemic" diseases, synergistically act upon one another to magnify the disease burden. Individuals on anti-retroviral therapy (ART) are at risk of developing TB-associated immune reconstitution inflammatory syndrome (TB-IRIS). The underlying inflammatory complication includes the rapid restoration of immune responses following ART, eventually leading to exaggerated inflammatory responses to MTB antigens. TB-IRIS continues to be a cause of morbidity and mortality among HIV/TB coinfected patients initiating ART, and although a significant quantum of knowledge has been acquired on the pathogenesis of IRIS, the underlying pathomechanisms and identification of a sensitive and specific diagnostic marker still remain a grey area of investigation. Here, we reviewed the latest research developments into IRIS immunopathogenesis, and outlined the modalities to prevent and manage strategies for better clinical and diagnostic outcomes for IRIS.
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Baisley K, Orne-Gliemann J, Larmarange J, Plazy M, Collier D, Dreyer J, Mngomezulu T, Herbst K, Hanekom W, Dabis F, Siedner MJ, Iwuji C. Early HIV treatment and survival over six years of observation in the ANRS 12249 Treatment as Prevention Trial. HIV Med 2022; 23:922-928. [PMID: 35218300 PMCID: PMC9545558 DOI: 10.1111/hiv.13263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 01/09/2022] [Accepted: 01/18/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Population-based universal test and treat (UTT) trials have shown an impact on population-level virological suppression. We followed the ANRS 12249 TasP trial population for 6 years to determine whether the intervention had longer-term survival benefits. METHODS The TasP trial was a cluster-randomized trial in South Africa from 2012 to 2016. All households were offered 6-monthly home-based HIV testing. Immediate antiretroviral therapy (ART) was offered through trial clinics to all people living with HIV (PLHIV) in intervention clusters and according to national guidelines in control clusters. After the trial, individuals attending the trial clinics were transferred to the public ART programme. Deaths were ascertained through annual demographic surveillance. Random-effects Poisson regression was used to estimate the effect of trial arm on mortality among (i) all PLHIV; (ii) PLHIV aware of their status and not on ART at trial entry; and (iii) PHLIV who started ART during the trial. RESULTS Mortality rates among PLHIV were 9.3/1000 and 10.4/1000 person-years in the control and intervention arms, respectively. There was no evidence that the intervention decreased mortality among all PLHIV [adjusted rate ratio (aRR) = 1.10, 95% confidence interval (CI) = 0.85-1.43, p = 0.46] or among PLHIV who were aware of their status but not on ART. Among individuals who initiated ART, the intervention decreased mortality during the trial (aRR = 0.49, 95% CI = 0.28-0.85, p = 0.01), but not after the trial ended. CONCLUSIONS The 'treat all' strategy reduced mortality among individuals who started ART but not among all PLHIV. To achieve maximum benefit of immediate ART, barriers to ART uptake and retention in care need to be addressed.
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Affiliation(s)
- Kathy Baisley
- Africa Health Research Institute, Durban, South Africa.,Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Joanna Orne-Gliemann
- University of Bordeaux, Inserm, Institut de Recherche pour le Développement (IRD), UMR 1219, Bordeaux, France
| | - Joseph Larmarange
- Centre Population et Développement (Ceped), Institut de Recherche pour le Développement (IRD), Université de Paris, Inserm, Paris, France
| | - Melanie Plazy
- University of Bordeaux, Inserm, Institut de Recherche pour le Développement (IRD), UMR 1219, Bordeaux, France
| | - Dami Collier
- Division of Infection and Immunity, University College London, London, UK.,Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), Cambridge, UK
| | - Jaco Dreyer
- Africa Health Research Institute, Durban, South Africa
| | | | - Kobus Herbst
- Africa Health Research Institute, Durban, South Africa.,DSI-MRC South African Population Research Infrastructure Network, Durban, South Africa
| | - Willem Hanekom
- Africa Health Research Institute, Durban, South Africa.,Division of Infection and Immunity, University College London, London, UK
| | - Francois Dabis
- University of Bordeaux, Inserm, Institut de Recherche pour le Développement (IRD), UMR 1219, Bordeaux, France
| | - Mark J Siedner
- Africa Health Research Institute, Durban, South Africa.,Harvard Medical School, Boston, Massachusetts, USA
| | - Collins Iwuji
- Africa Health Research Institute, Durban, South Africa.,Department of Global Health and Infection, Brighton and Sussex Medical School, University of Sussex, Brighton, UK
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11
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Musengimana G, Umugisha JP, Habinshuti P, Anderson T, Mukesharurema G, Remera E, Ndahimana JD, Barnhart DA. Characteristics and clinical outcomes of patients presenting with advanced HIV disease in the "treat all" era: a retrospective cohort study from rural Rwanda. BMC Infect Dis 2022; 22:706. [PMID: 36008786 PMCID: PMC9404671 DOI: 10.1186/s12879-022-07692-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 08/16/2022] [Indexed: 11/21/2022] Open
Abstract
Background In 2016 Rwanda adopted “treat all” where all patients with HIV are immediately eligible for ART regardless of disease progression. Despite widespread availability of treatment, it is unknown whether presentation with advanced HIV persists. Methods We conducted a retrospective cohort among patients aged ≥ 15 who enrolled in care between July 2016 and July 2018 in three rural Rwandan districts. We estimated the prevalence of advanced HIV, defined as presenting with CD4 count < 200 cells/mm3 or WHO stage 3 or 4, and compared baseline characteristics of patients with and without advanced HIV. We compared cumulative incidences and time to events using Chi squared tests and Cox proportional hazards models, respectively, for (a) viral load tests; (b) viral suppression; (c) death; and (d) treatment failure (a composite of death, lost to follow up, or virologic failure). Results Among 957 patients, 105 (11.0%) presented with advanced HIV. These patients were significantly more likely to have low body mass index, come from Burera district, be older, and be identified through inpatient settings rather than through voluntary or prenatal testing. Patients with advanced HIV had significantly higher risks of death at 12-months (9.5% vs 1.5%, p < 0.001) and 18-months (10.5% vs 1.9%, p < 0.001) and significantly higher risk of treatment failure at 12-months (21.9% vs. 14.2%, p = 0.037). After adjusting for confounders, patients with advanced HIV had still higher rates of death (adjusted Hazard ratio [aHR] = 4.4, 95% CI: 1.9, 10.2, p < 0.001) and treatment failure (aHR = 1.7, 95% CI: 1.1, 2.5, p = 0.017), but no difference in viral load testing (aHR = 1.1, 95% CI: 0.8, 1.5, p = 0.442) or viral suppression (aHR = 1.0, 95% CI: 0.8, 1.4, p = 0.949). When allowing for the hazard ratio to vary over time, patients with advanced HIV experienced elevated rates of treatment failure in the first six of enrollment, but not after nine months. Conclusion Presenting with advanced HIV remains common and is still associated with poor patient outcomes. Sensitization of the community to the benefits of early ART initiation, identification of patients with advanced HIV, and holistic support programs for the first 6 months of treatment may be needed to improve outcomes.
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Affiliation(s)
- Gentille Musengimana
- Division of HIV/AIDs, Rwanda Biomedical Center, STIs and Viral Hepatitis, City of Kigali, Rwanda.
| | - Jean Paul Umugisha
- Partners in Heath, Inshuti Mu Buzima, Infectious Disease Program, City of Kigali, Rwanda
| | - Placide Habinshuti
- Partners in Heath, Inshuti Mu Buzima, Infectious Disease Program, City of Kigali, Rwanda
| | - Todd Anderson
- Partners in Heath, Inshuti Mu Buzima, Infectious Disease Program, City of Kigali, Rwanda
| | | | - Eric Remera
- Division of HIV/AIDs, Rwanda Biomedical Center, STIs and Viral Hepatitis, City of Kigali, Rwanda
| | - Jean D'Amour Ndahimana
- Partners in Heath, Inshuti Mu Buzima, Infectious Disease Program, City of Kigali, Rwanda
| | - Dale A Barnhart
- Partners in Heath, Inshuti Mu Buzima, Infectious Disease Program, City of Kigali, Rwanda.,Department of Global Health and Social Medicine Boston, Harvard Medical School, Boston, MA, USA
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