ArticleBMC public health2024
Predictors of CD4 cell count progression over time among adolescents and young adults transitioning to adult-oriented HIV care in Southern Ethiopia from 2017 to 2021: a retrospective cohort study.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Evolution of death trends and influencing factors of people living with HIV from 2003 to 2025 in Huangshi, China.BMC public health · 2026Article
- Comparison of talaromycosis in HIV-infected patients with and without Talaromyces marneffei bloodstream infection.BMC infectious diseases · 2026Article
- Prevalence and associated factors of recent HIV-1 infection among newly identified HIV-positive individuals tested with the Asante Rapid Recency assay in Harari region, Eastern Ethiopia.Frontiers in epidemiology · 2025Article
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Abstract
backgroundHuman immunodeficiency virus (HIV), a viral infection impacting CD4 cells, requires an understanding of factors influencing CD4 cell counts to reduce acquired immunodeficiency syndrome(AIDS)-related morbidity and mortality. Despite its importance, no studies have examined predictors of CD4 cell count progression post-transition to adult-oriented HIV care in Ethiopia. This study aimed to identify predictors affecting CD4 cell count trends among adolescents and young adults transitioning to adult-oriented HIV care. Therefore, this study aimed to identify the predictors that affect the trends of CD4 cell count over time among adolescents and young adults who transitioned to adult-oriented HIV care.
methodsA retrospective cohort study was conducted among 206 adolescents and young adults who transitioned to adult-oriented HIV care and had at least two CD4 cell counts in eight selected health facilities in Southern Ethiopia. These facilities were chosen due to their high volume of people living with HIV. A multivariable linear mixed effect model was fitted to identify the predictors of CD4 cell count progression through time. Multi-collinearity between variables was checked using the variance inflation factor. Model comparisons were done using Akaike and Bayesian information criteria. Regression coefficients with 95% confidence intervals (CI) and P-value ≤ 0.05 were used to measure the strength of association and significance level.
resultsThe average CD4 cell count was raised by 6.7 cells/mm
conclusionBased on the identified predictors of CD4 cell count progression over time among HIV-positive adolescents and young adults transitioning to adult-oriented HIV care in southern Ethiopia, such as observation time, age at transition, residence, and WHO staging, the study highlights the need for interventions focused on tailored support. Specifically, these interventions should target individuals transitioning with less ART time, those younger than 18, those residing in rural areas, and those with advanced WHO staging, to improve their CD4 cell counts over time.
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