ArticleBMC research notes2016
Predictors of CD4 count over time among HIV patients initiated ART in Felege Hiwot Referral Hospital, northwest Ethiopia: multilevel analysis.
Article in BMC research notes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 54 citations in OpenAlex.
- Impact of Anti-CD4 Autoantibodies on Immune Reconstitution in People With Advanced HIV.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 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
- 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.BMC public health · 2024Article
- Birth preparedness and pregnancy complication readiness and associated factors among pregnant women in Ethiopia: A multilevel analysis.PLOS global public health · 2024Article
- Spatial distribution and geographical heterogeneity factors associated with households' enrollment level in community-based health insurance.Frontiers in public health · 2024Article
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- Clinico-demographic and survival profile of people living with HIV on antiretroviral treatment.Frontiers in public health · 2023Article
- Survival rate and predictors of mortality among TB/HIV co-infected adult patients: retrospective cohort study.Scientific reports · 2022Article
- Family APGAR and treatment outcomes among HIV patients at two ART Centres in Kumasi, Ghana.Ghana medical journal · 2022Article
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- Determinants of CD4 count and risk for death of HIV infected children under ART.Scientific reports · 2022Article
- Predictors of non-adherence to medication and time to default from treatment on HIV infected patients under HAART: a comparison of joint and separate models.African health sciences · 2022Article
- CD4+ cell count recovery after initiation of antiretroviral therapy in HIV-infected Ethiopian adults.PloS one · 2022Article
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- Statistical Analysis on Determinant Factors Associated with Time to Death of HIV/TB Co-Infected Patients Under HAART at Debre Tabor Referral Hospital: An Application of Accelerated Failure Time-Shared Frailty Models.HIV/AIDS (Auckland, N.Z.) · 2021Article
- Socio-Demographic, Economic and Clinical Predictors for HAART Adherence Competence in HIV-Positive Adults at Felege Hiwot Teaching and Specialized Hospital, North West Ethiopia.HIV/AIDS (Auckland, N.Z.) · 2021Article
- Predictors of Current CD4+ T-Cell Count Among Women of Reproductive Age on Antiretroviral Therapy in Public Hospitals, Southwest Ethiopia.HIV/AIDS (Auckland, N.Z.) · 2021Article
- Spatial distribution of iron rich foods consumption and its associated factors among children aged 6-23 months in Ethiopia: spatial and multilevel analysis of 2016 Ethiopian demographic and health survey.Nutrition journal · 2020Article
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe response of HIV patients to antiretroviral therapy could be measured by its strong predictor, the CD4+ T cell (CD4) count for the initiation of antiretroviral therapy and proper management of disease progress. However, in addition to HIV, there are other factors which can influence the CD4 cell count. Patient's socio-economic, demographic, and behavioral variables, accessibility, duration of treatment etc., can be used to predict CD4 count.
methodsA retrospective cohort study was conducted to examine the predictors of CD4 count among ART users enrolled in the first 6 months of 2010 and followed upto mid 2014. The covariance components model was employed to determine the predictors of CD4 count over time.
resultsA total of 1196 ART attendants were used to analyze their data descriptively. Eight hundred sixty-one of the attendants had two or more CD4 count measurements and were used in modeling their data using the linear mixed method. Thus, the mean rates of incensement of CD4 counts for patients with ambulatory/bedridden and working baseline functional status were 17.4 and 30.6 cells/mm(3) per year, respectively. After adjusting for other variables, for each additional baseline CD4 count, the gain in CD4 count during treatment was 0.818 cells/mm(3) (p value <0.001). Patient's age and baseline functional status were also statistically significantly associated with CD4 count.
conclusionIn this study, higher baseline CD4 count, younger age, working functional status, and time in treatment contributed positively to the increment of the CD4 count. However, the observed increment at 4 year was unsatisfactory as the proportion of ART users who reached the normal range of CD4 count was very low. To see their long term treatment outcome, it requires further research with a sufficiently longer follow up data. In line with this, the local CD4 count for HIV negative persons should also be investigated for better comparison and proper disease management.
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