ABSTRACT
The authors conducted a retrospective cohort study of unplanned care interruption (UCI) among adults initiating antiretroviral therapy (ART) from 2009 to 2011 in a Nigerian clinic. The authors used repeated measures regression to model the impact of UCI on CD4 count upon return to care and rate of CD4 change on ART. Among 2496 patients, 83% had 0, 15% had 1, and 2% had ≥2 UCIs. Mean baseline CD4 for those with 0, 1, or ≥2 UCIs was 228/cells/mm3, 355/cells/mm3, and 392/cells/mm3 ( P < .0001), respectively. The UCI was associated with a 62 CD4 cells/mm3 decrease (95% confidence interval [CI]: -78 to -45) at next measurement. In months 1 to 6 on ART, patients with 0 UCI gained 10 cells/µL/mo (95% CI: 7-4). Those with 1 and ≥2 UCIs lost 2 and 5 cells/µL/mo (95% CI: -18 to 13 and -26 to 16). Patients with UCI did not recover from early CD4 losses associated with UCI. Preventing UCI is critical to maximize benefits of ART.
Subject(s)
Anti-Retroviral Agents/therapeutic use , HIV Infections/drug therapy , HIV Infections/epidemiology , Medication Adherence/statistics & numerical data , Adult , Antiretroviral Therapy, Highly Active , CD4 Lymphocyte Count , Continuity of Patient Care/statistics & numerical data , Female , HIV Infections/immunology , Humans , Male , Nigeria , Retrospective StudiesABSTRACT
PURPOSE: Interruptions in HIV care are a major cause of morbidity and mortality, particularly in resource-limited settings. We compared engagement in care and virologic outcomes between HIV-infected adolescents and young adults (AYA) and older adults (OA) one year after starting antiretroviral therapy (ART) in Nigeria. METHODS: We conducted a retrospective cohort study of AYA (15-24 years) and OA (>24 years) who initiated ART from 2009-2011. We used negative binomial regression to model the risk of inconsistent care and viremia (HIV RNA >1,000 copies/mL) among AYA and OA in the first year on ART. Regular care included monthly ART pickup and 3-monthly clinical visits. Patients with ≤3 months between consecutive visits were considered in care. Those with inconsistent care had >3 months between consecutive visits. RESULTS: The cohort included 354 AYA and 2,140 OA. More AYA than OA were female (89% vs. 65%, p < .001). Median baseline CD4 was 252/µL in AYA and 204/µL in OA (p = .002). More AYA had inconsistent care than OA (55% vs. 47%, p = .001). Adjusting for sex, baseline CD4, and education, AYA had a greater risk of inconsistent care than OA (Relative Risk [RR]: 1.15, p = .008). Among those in care after one year on ART, viremia was more common in AYA than OA (40% vs. 26% p = .003, RR: 1.53, p = .002). CONCLUSIONS: In a Nigerian cohort, AYA were at increased risk for inconsistent HIV care. Of patients remaining in care, youth was the only independent predictor of viremia at 1 year. Youth-friendly models of HIV care are needed to optimize health outcomes.
