BackgroundUnplanned care interruption (UCI) challenges effective HIV treatment. We determined the frequency and risk factors for UCI in Nigeria.MethodsWe conducted a retrospective-cohort study of adults initiating antiretroviral therapy (ART) between January 2009 and December 2011. At censor, patients were defined as in care, UCI, or inactive. Associations between baseline factors and UCI rates were quantified using Poisson regression.ResultsAmong 2,496 patients, 44 % remained in care, 35 % had ≥1 UCI, and 21 % became inactive. UCI rates were higher in the first year on ART (39/100PY), than the second (19/100PY), third (16/100PY), and fourth (14/100PY) years (p < 0.001). In multivariate analysis, baseline CD4 > 350/uL (IRR 3.21, p < 0.0001), being a student (IRR 1.95, p < 0.0001), and less education (IRR 1.58, p = 0.001) increased risk for UCI. Fifty-five percent of patients with UCI and viral load data had HIV viral load > 1,000 copies/ml upon return to care.DiscussionUCI were observed in over one-third of patients treated, and were most common in the first year on ART. High baseline CD4 count at ART initiation was the greatest predictor of subsequent UCI.ConclusionsInterventions focused on the first year on ART are needed to improve continuity of HIV care.

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/mm 3 , 355/cells/mm 3 , and 392/cells/mm 3 (P < .0001), respectively. The UCI was associated with a 62 CD4 cells/mm 3 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 Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. HHS Public Access

Our findings suggest that the modified PCMH tool is feasible, and likely has sufficient performance variation to discriminate among clinics. Consistent with extant literature, clinics showed greatest room for improvement on access and continuity, supporting the tool's face validity. The modified PCMH tool may provide a powerful framework for evaluating chronic HIV care in RLS.

Introduction: As at 2019, Nigeria was ranked the fourth highest HIV burden in the world. There is varied geographical HIV prevalence in Nigeria. The progress made is inequitable across geographical locations and sub-populations (18). Benue state has the second highest HIV prevalence in Nigeria. In 2018, about 35,623 people living with HIV (PLHIV) were yet to commence antiretroviral treatment (ART) in the state, accounting for an estimated ART coverage gap of 11% out of the combined gap of 320,921 in the country. To close this gap, the Benue ART surge (BAS) was implemented. The aim of this study was to describe the BAS strategic approaches and demonstrate progress in expanding ART access for PLHIV in Benue State, Nigeria. Methods: BAS was implemented in 252 health facilities from May 2019 to September 2021. Data were collected and reported using an Excel-based dashboard and electronic medical records. The trend of HIV case identification, ART initiation, viral load suppression rate, and rate of interruption in treatment during the BAS period was then described and analyzed. Results: Out of 893,462 clients reached, 6.7% ( n = 60,297) were diagnosed with HIV and 99.8% ( n = 60,236) were initiated on ART. HIV case identification per month increased by 467% from 650 at baseline to a peak of 3685 in August 2020, and then declined by 35% to 2380 in September 2021. All new HIV-infected patients (100%) were linked to ART. Viral load testing coverage and viral load suppression rate increased from 30% (43,185/126,004) and 84% ( n = 36,165/43,185) at baseline to 95% ( n = 193,890/204,095) and 96% (185,785/193,890), respectively. Conclusion: Implementation of the BAS improved access to comprehensive HIV services in Benue State. The increase in HIV case identification and ART initiation significantly reduced the HIV treatment gap in the state. To fast track the attainment of UNAIDS 95-95-95 goals, lessons learnt from the BAS should be adapted and scaled up in the national HIV program in Nigeria.

Background: Symptom management is an important component of HIV care. But symptom patterns and how they affect engagement with HIV care and treatment services have not been adequately explored in the era of increased HIV treatment scale-up. We investigated the relationship between symptom patterns among people living with HIV (PLHIV) and 12 months retention in care, within the context of other clinical and demographic characteristics. Methods: Retrospective cohort analysis of 5114 PLHIV receiving care within a large HIV treatment program in Nigeria. We assessed the prevalence and burden of baseline symptoms reported during routine clinic visits from January 2015 to December 2017. Multivariable regression was used to identify relationships between 12-month retention and symptom dimensions (prevalence and burden) while controlling for demographic and other clinical variables. Results: Increasing symptom burden was associated with higher likelihood of retention at 12 months (adjusted odds ratio [aOR] = 1.19 [95% confidence interval, CI: 1.09-1.29]; P < .001) as was the reporting of skin rashes/itching symptom (aOR = 2.59 [95% CI: 1.65-4.09]; P < .001). Likelihood of retention reduced with increasing World Health Organization (WHO) Clinical staging, with CD4 ≥500 cells/mL and self-reported heterosexual mode of HIV transmission. Conclusions: Symptom dimensions and standardized clinical/immunological measures both predicted retention in care, but effects differed in magnitude and direction. Standardized clinical/immunological measures in HIV care (eg, WHO clinical staging and CD4 count categories) can mask important differences in how PLHIVs experience symptoms and, therefore, their engagement with HIV care and treatment. Symptom management strategies are required alongside antiretroviral treatment to improve outcomes among PLHIV, including retention in care.