Around 2 million adolescents and 3 million youth are estimated to be living with HIV worldwide. Antiretroviral outcomes for this group appear to be worse compared to adults. We report antiretroviral therapy outcomes from a rural setting in Zimbabwe among patients aged 10–30 years who were initiated on ART between 2005 and 2008. The cohort was stratified into four age groups: 10–15 (young adolescents) 15.1–19 years (adolescents), 19.1–24 years (young adults) and 24.1–29.9 years (older adults). Survival analysis was used to estimate rates of deaths and loss to follow-up stratified by age group. Endpoints were time from ART initiation to death or loss to follow-up. Follow-up of patients on continuous therapy was censored at date of transfer, or study end (31 December 2008). Sex-adjusted Cox proportional hazards models were used to estimate hazard ratios for different age groups. 898 patients were included in the analysis; median duration on ART was 468 days. The risk of death were highest in adults compared to young adolescents (aHR 2.25, 95%CI 1.17–4.35). Young adults and adolescents had a 2–3 times higher risk of loss to follow-up compared to young adolescents. When estimating the risk of attrition combining loss to follow-up and death, young adults had the highest risk (aHR 2.70, 95%CI 1.62–4.52). This study highlights the need for adapted adherence support and service delivery models for both adolescents and young adults.
References
[1]
Anon (2011) Opportunity in crisis. Preventing HIV from adolescence to young adulthood. UNICEF, UNAIDS, UNESCO, UNFPA, ILO, WHO and The World Bank: New York.
[2]
Anon (2010) UNAIDS Report on the Global AIDS Epidemic. UNAIDS: Geneva.
[3]
Flynn PM, Rudy BJ, Lindsey JC, Douglas SD, Lathey J, et al. (2007) Long-term observation of adolescents initiating HAART therapy: three-year follow-up. AIDS Res Hum Retroviruses 23: 1208–14.
[4]
Nachega JB, Hislop M, Nguyen H, Dowdy DW, Chaisson RE, et al. (2009) Antiretroviral therapy adherence, virologic and immunologic outcomes in adolescents compared with adults in southern Africa. J Acquir Immune Defic Syndr 51: 65–71.
[5]
Charles M, Noel F, Leger P, Severe P, Riviere C, et al. (2008) Survival, plasma HIV-1 RNA concentrations and drug resistance in HIV-1-infected Haitian adolescents and young adults on antiretrovirals. Bull World Health Organ 86: 970–7.
[6]
Ryscavage P, Anderson EJ, Sutton SH, Reddy S, Taiwo B (2011) Clinical outcomes of adolescents and young adults in adult HIV care. J Acquir Immune Defic Syndr 58: 193–7.
[7]
Khan M, Song X, Williams K, Bright K, Sill A, et al. (2009) Evaluating adherence to medication in children and adolescents with HIV. Arch Dis Child 94: 970–3.
[8]
Maturo D, Powell A, Major-Wilson H, Sanchez K, De Santis JP, et al. (2011) Development of a protocol for transitioning adolescents with HIV infection to adult care. J Pediatr Health Care 25: 16–23.
[9]
Bakanda C, Birungi J, Mwesigwa R, Nachega JB, Chan K, et al. (2011) Survival of HIV-infected adolescents on antiretroviral therapy in Uganda: findings from a nationally representative cohort in Uganda. PLoS One 6: e19261.
[10]
Belzer ME, Fuchs DN, Luftman GS, Tucker DJ (1999) Antiretroviral adherence issues among HIV-positive adolescents and young adults. J Adolesc Health 25: 316–9.
[11]
Arrive E, Dicko F, Amghar H, Aka AE, Dior H, et al. (2012) HIV Status Disclosure and Retention in Care in HIV-Infected Adolescents on Antiretroviral Therapy (ART) in West Africa. PLoS ONE 7: e33690.
[12]
Moodley K, Myer L, Michaels D, Cotton M (2006) Paediatric HIV disclosure in South Africa – caregivers' perspectives on discussing HIV with infected children. S Afr Med J 96: 201–204.
[13]
Nachega JB, Mugavero MJ, Zeier M, Vitória M, Gallant JE (2011) Treatment simplification in HIV-infected adults as a strategy to prevent toxicity, improve adherence, quality of life and decrease healthcare costs. Patient Prefer Adherence 5: 357–67.
[14]
Cremin I, Mushati P, Hallett T, Mupambireyi Z, Nyamukapa C, et al. (2009) Measuring trends in age at first sex and age at marriage in Manicaland, Zimbabwe. Sex Transm Infect 85 Suppl 1i34–40.
[15]
Knol MJ, Janssen KJ, Donders AR, Egberts AC, Heerdink ER, et al. (2010) Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example. J Clin Epidemiol 63: 728–36.
[16]
Demissie S, LaValley MP, Horton NJ, Glynn RJ, Cupples LA (2003) Bias due to missing exposure data using complete-case analysis in the proportional hazards regression model. Stat Med 22: 545–57.
[17]
Greenland S, Finkle WD (1995) A Critical Look at Methods for Handling Missing Covariates in Epidemiologic Regression Analyses. American Journal of Epidemiology 142: 1255–1264.
[18]
Van Cutsem G, Ford N, Hilderbrand K, Goemaere E, Mathee S (2011) Correcting for Mortality Among Patients Lost to Follow Up on Antiretroviral Therapy in South Africa: A Cohort Analysis. Plos One 6: e14684.