Browsing by Author "Garone D"

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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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    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.