ArticleBMC research notes2024
Joint clinical determinants for bivariate hematological parameter among TB/HIV co-infected adults under TB/HIV treatment in university of Gondar comprehensive specialized hospital: Retrospective panel data study.
Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Time to Blindness and Associated Factors Among Glaucoma Patients Under Treatment at Governmental Hospitals in Amhara Region, Ethiopia; Application of Gamma Shared Frailty Accelerate Failure Time Model.Health science reports · 2026Article
- Immunohematologic parallels and paradoxes: Africa vs Russia in the HIV era- a narrative review.Annals of medicine and surgery (2012) · 2025Review
- Impact of HIV disclosure and related predictors on CD4 cell count among adults under first-line ART regimen at Felege Hiwot comprehensive specialized referral hospital, North West Ethiopia.BMC research notes · 2025Article
- CD4 cell count and viral load count association and its joint risk factors among adult TB/HIV co-infected patients: a retrospective follow-up study.BMC research notes · 2025Article
- Predictors of Longitudinal Viral Load count and Survival Time to Death Among Adult TB/HIV Coinfected Patients Treated at Two Selected Amhara Region Comprehensive Specialized Hospitals, Ethiopia.Health science reports · 2025Article
- Haematological markers as predictive tools for tuberculosis in PLHIV: a retrospective cohort study in Gujarat, India.BMC infectious diseases · 2025Article
- Clinical Determinants Associated With Viral Load Count Among Adult TB/HIV Co-Infected Patients: A Linear Mixed-Effects Model Analysis.Advances in virology · 2025Article
- Incidence Rate, Survival Rate, and Predictors for Virological Failure Among Adult TB/HIV Coinfected Clients.Journal of tropical medicine · 2025Article
- Common Risk Factors for CD4 Cell Count and Hemoglobin Level among Female Adult HIV-Positive Patients: A Retrospective Longitudinal Study.Journal of tropical medicine · 2024Article
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Abstract
backgroundWorldwide ranking above HIV/AIDS, tuberculosis is continues to have a significant effect on public health and the leading cause of death due to high progression of HIV. The objective of current study was identify joint clinical determinants that affecting bivariate hematological parameter among TB/HIV co-infected adults under TB/HIV treatment in university of Gondar comprehensive specialized hospital.
methodThe result of these study was conducted at university of Gondar comprehensive specialized hospital, Gondar, Ethiopia by using a retrospective cohort follow up study from September 2015-march 2022 G.C. The source of data in this study was secondary data obtained from patients chart. Bayesian approach of longitudinal linear mixed effect sub model was used in panel data set to get wide range of information about TB/HIV co-infected patients.
resultOut of 148 co-infected participants more than half of the patients (56.1%) and (52.7%) accounted for CPT and INH non users, of which 10.8% and 10.3% had the outcome of mortality respectively. The random intercept and slope model were selected for repeated measure hemoglobin level and hematocrit based on deviance information criteria (DIC), and probability of direction (Pd) under the full model.
conclusionCurrent study revealed that clinical predictors red blood cell count, platelet cell count, fair and good treatment adherence, other ART regiment, IPT drug users, and viral load count < 10,000 copies/mL, were associated with high hemoglobin level concentration while, lymphocyte count, WHO clinical stage-IV,1e ART regiment, and patients with OIs results for low hemoglobin level concentration. Likewise, red blood cell count, platelet cell count, fair and good treatment adherence, IPT drug users, and viral load count < 10,000 copies/mL co-infected patients had high hematocrit, while lymphocyte count, WHO clinical stage-III,1c ART regiment, and patients with OIs significantly leads to low hematocrit. Health professionals give more attention to these important predictors to reduce progression of disease when the co-infected patients come back again in the hospital. In addition, health staff should conduct health related education for individuals to examine continuous check-up of co-infected patients.
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