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

• Published in: BMC research notes 2024-06, Vol.17 (1), p.150-8
• Main Author: Muhie, Nurye Seid
• Format: Article
• Language: English
• Subjects: Acquired immune deficiency syndrome; Adult; AIDS; Antiretroviral therapy; Antitubercular Agents - therapeutic use; Bayes Theorem; Bayesian analysis; Blood levels; Care and treatment; Cell number; Coinfection; Common predictors; Comorbidity; Diagnosis; Drug abuse; Erythrocytes; Ethiopia - epidemiology; Female; Hematocrit; Hematological parameter; Hemoglobin; Hemoglobins - analysis; Hemoglobins - metabolism; HIV; HIV infection; HIV Infections - blood; HIV Infections - complications; HIV Infections - drug therapy; Hospitals, Special; Human immunodeficiency virus; Humans; Longitudinal sub model; Lymphocytes; Male; Management; Medical personnel; Middle Aged; Mortality; Patients; Platelets; Public health; Retrospective Studies; Risk factors; TB/HIV co-infected; Tuberculosis; Tuberculosis - blood; Tuberculosis - complications; Tuberculosis - drug therapy; Young Adult
• ISSN: 1756-0500; 1756-0500
• DOI: 10.1186/s13104-024-06808-6

Worldwide 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. The 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. Out 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. Current 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