Debelu, B.B. Prevalence, Risk Factors and Residential Variation among HIV/TB co-infected Mortality in Amhara Region, Fenote Selam Hospital: Application of Multilevel Logistic Regression. Preprints2022, 2022010165. https://doi.org/10.20944/preprints202201.0165.v1
APA Style
Debelu, B.B. (2022). Prevalence, Risk Factors and Residential Variation among HIV/TB co-infected Mortality in Amhara Region, Fenote Selam Hospital: Application of Multilevel Logistic Regression. Preprints. https://doi.org/10.20944/preprints202201.0165.v1
Chicago/Turabian Style
Debelu, B.B. 2022 "Prevalence, Risk Factors and Residential Variation among HIV/TB co-infected Mortality in Amhara Region, Fenote Selam Hospital: Application of Multilevel Logistic Regression" Preprints. https://doi.org/10.20944/preprints202201.0165.v1
Abstract
The purpose of this study was to identify the factors that affect the mortality among adult HIV/TB co-infected patients and to see the nutritional difference among mortality in residence level. Retrospective cohort studies of 417 patients which fulfill our criteria were included. Multilevel logistic regression models were used. MLwiN and SPSS software are used to estimate the parameter. The variance of the random factor in the empty model was significant which indicates that there were residential differences in TB-HIV co-infected mortality and it shows multilevel analysis was an appropriate approach for further analysis. The prevalence of HIV/TB co-infected patients' death was 12.9% in study time. Functional status, age of patients, WHO clinical stages, nutritional status, CD4 counts, regimen, and BMI were found to be significant determinants of HIV/TB co-infected mortality. In our study, patients with the bedridden category of functional status, the fourth stages of WHO clinical stages (stage IV), patients with higher age, patients whose treatments were second-line regimen and low CD4 cell counts were more at risk of death. The study also revealed that; poor nutritional status increased the risk of mortality among HIV/TB co-infected patients and it varies among the residence of the patients (rural area were more at risk).
Computer Science and Mathematics, Probability and Statistics
Copyright:
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