Browsing by Author "Tanon A"
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Item High prevalence of binge drinking among people living with HIV in four African countries.(2018-Dec) Nouaman MN; Vinikoor M; Seydi M; Ekouevi DK; Coffie PA; Mulenga L; Tanon A; Egger M; Dabis F; Jaquet A; Wandeler G; INSERM U1219 Bordeaux Population Health Research, ISPED, Université de Bordeaux, Bordeaux, France.; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Département de santé publique, Faculté des Sciences de la santé, Université de Lomé, Lomé, Togo.; Zambia Ministry of Health, Lusaka, Zambia.; Programme PACCI, CHU de Treichville, Abidjan, Côte d'Ivoire.; Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland.; Centre for Infectious Diseases Epidemiology and Research, University of Cape Town, Cape Town, South Africa.; CHU de Treichville, Service de maladies infectieuses et tropicales, Abidjan, Côte d'Ivoire.; University Teaching Hospital, Lusaka, Zambia.; Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; Service de maladies infectieuses et tropicales, CRCF, CHU de Fann, Dakar, Sénégal.INTRODUCTION: Excessive alcohol consumption leads to unfavourable outcomes in people living with HIV (PLHIV), including reduced adherence to antiretroviral therapy (ART) and engagement into care. However, there is limited information on alcohol consumption patterns among PLHIV in sub-Saharan Africa. METHODS: Using a cross-sectional approach, the Alcohol Use Disorders Identification Test (AUDIT-C) was administered to PLHIV attending HIV clinics in Côte d'Ivoire, Togo, Senegal and Zambia (2013 to 2015). Hazardous drinking was defined as an AUDIT-C score ≥4 for men or ≥3 for women, and binge drinking as ≥6 drinks at least once per month. The prevalence of binge drinking was compared to estimates from the general population using data from the World Health Organization. Factors associated with binge drinking among persons declaring any alcohol use in the past year were assessed using a logistic regression model to estimate odds ratio (OR) and their corresponding 95% confidence intervals (CI). RESULTS: Among 1824 PLHIV (median age 39 years, 62.8% female), the prevalence of hazardous alcohol use ranged from 0.9% in Senegal to 38.4% in Zambia. The prevalence of binge drinking ranged from 14.3% among drinkers in Senegal to 81.8% in Zambia, with higher estimates among PLHIV than in the general population. Male sex (OR 2.4, 95% CI 1.6 to 3.7), tobacco use (OR 1.7, 95% CI 1.0 to 2.9) and living in Zambia were associated with binge drinking. CONCLUSIONS: Alcohol consumption patterns varied widely across settings and binge drinking was more frequent in HIV-positive individuals compared to the general population. Interventions to reduce excessive alcohol use are urgently needed to optimize adherence in the era of universal ART.Item Retention and mortality on antiretroviral therapy in sub-Saharan Africa: collaborative analyses of HIV treatment programmes.(2018-Feb) Haas AD; Zaniewski E; Anderegg N; Ford N; Fox MP; Vinikoor M; Dabis F; Nash D; Sinayobye JD; Niyongabo T; Tanon A; Poda A; Adedimeji AA; Edmonds A; Davies MA; Egger M; Institut Supérieur des Sciences de la santé, Université Polytechnique de Bobo-Dioulasso, Bobo-Dioulasso, Burkina Faso.; Department of Epidemiology and Biostatistics, City University of New York, School of Public Health, New York, NY, USA.; Institute for Implementation Science in Population Health, City University of New York, New York, NY, USA.; Department of Epidemiology and Population Health, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.; Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.; ISPED, Centre Inserm U1219-Bordeaux Population Health, Université de Bordeaux, Bordeaux, France.; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.; Department of Global Health, Boston University School of Public Health, Boston, MA, USA.; 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.; World Health Organisation, Geneva, Switzerland.; Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.; Rwanda Military Hospital, Kigali, Rwanda.; Service de Maladies Infectieuses et Tropicales (SMIT), CHU de Treichville, Abidjan, Cote d'Ivoire.; Centre National de Reference en Matiere de VIH/SIDA (CNR), Bujumbura, Burundi.; School of Medicine, University of Zambia, Lusaka, Zambia.; Institute of Social & Preventive Medicine, University of Bern, Bern, Switzerland.; Department of Epidemiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)INTRODUCTION: By 2020, 90% of all people diagnosed with HIV should receive long-term combination antiretroviral therapy (ART). In sub-Saharan Africa, this target is threatened by loss to follow-up in ART programmes. The proportion of people retained on ART long-term cannot be easily determined, because individuals classified as lost to follow-up, may have self-transferred to another HIV treatment programme, or may have died. We describe retention on ART in sub-Saharan Africa, first based on observed data as recorded in the clinic databases, and second adjusted for undocumented deaths and self-transfers. METHODS: We analysed data from HIV-infected adults and children initiating ART between 2009 and 2014 at a sub-Saharan African HIV treatment programme participating in the International epidemiology Databases to Evaluate AIDS (IeDEA). We used the Kaplan-Meier method to calculate the cumulative incidence of retention on ART and the Aalen-Johansen method to calculate the cumulative incidences of death, loss to follow-up, and stopping ART. We used inverse probability weighting to adjust clinic data for undocumented mortality and self-transfer, based on estimates from a recent systematic review and meta-analysis. RESULTS: We included 505,634 patients: 12,848 (2.5%) from Central Africa, 109,233 (21.6%) from East Africa, 347,343 (68.7%) from Southern Africa and 36,210 (7.2%) from West Africa. In crude analyses of observed clinic data, 52.1% of patients were retained on ART, 41.8% were lost to follow-up and 6.0% had died 5 years after ART initiation. After accounting for undocumented deaths and self-transfers, we estimated that 66.6% of patients were retained on ART, 18.8% had stopped ART and 14.7% had died at 5 years. CONCLUSIONS: Improving long-term retention on ART will be crucial to attaining the 90% on ART target. Naïve analyses of HIV cohort studies, which do not account for undocumented mortality and self-transfer of patients, may severely underestimate both mortality and retention on ART.