ArticlePloS one2024
Determinants of longitudinal changes of CD4 cell count and survival time to death of HIV/AIDS patients treated at Yabelo General Hospital, the case of pastoralist area: Using joint modelling approach.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Burden and predictors of advanced HIV disease among people living with HIV at Zewditu Memorial Hospital in Addis Ababa, Ethiopia.Frontiers in public health · 2026Article
- Evaluation of factors related to longitudinal CD4 count and the risk of death among HIV-infected patients using Bayesian joint models.BMC public health · 2025Article
- Prognostic Value of Procalcitonin in Febrile People Living with Human Immunodeficiency Virus (PLWH) Admitted to the Emergency Department.Medicina (Kaunas, Lithuania) · 2025Article
- Determinants Associated With CD4 Cell Count and Disclosure Status Among First-Line Antiretroviral Therapy Patients Treated at Felege Hiwot Comprehensive Specialized Hospital, Ethiopia.Journal of tropical medicine · 2025Article
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Authors and funding
3 authors.
Funding
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Abstract
introductionHIV/AIDS is a chronic disease that challenges public health worldwide and causes morbidity and mortality in humans. The main purpose of this study was to investigate the determinants of longitudinal changes in CD4 cell count and survival time to death among HIV/AIDS patients as adults from January 2016 to December 2019 at Yabelo General Hospital. The intellectual gap in this study was focused on the study area, which means that the study related to joint modeling doesn't exist in the pastoralist community of Borena.
methodsThis study involved 293 adult HIV-infected adults that could be collected from the recorded patient chart data, and the study design is a retrospective cohort design. The study used a Cox proportional hazard model, a linear mixed effect model, and a joint model, which is the combination of both model processes.
resultsThe joint model showed that longitudinal CD4 cell count is significantly associated with survival time (p-value = 0.0253). Covariates such as visiting time, age, weight, educational status, ART adherence, and functional status were statistically significant factors associated with mean changes in the CD4 cell count of HIV patients. WHO stage, educational status, place of residence, TB, family history, and opportunistic infection disease had a significant effect on the survival time of HIV patients.
conclusionsThe estimated association parameter is a negative value, which indicates both outcomes are negatively associated, and higher values of the CD4 cell count are associated with better survival.
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