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Modeling the Survival of Tuberculosis Patients in Eastern Zone of Tigray Regional State

BACKGROUND: Tuberculosis (TB) is still a public health problem and amongst the top ten leading causes of death. The aim of this paper was to identify the factors that significantly affect the survival of tuberculosis patients. METHODS: A retrospective cohort study was carried out in Adigrat General...

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Autor principal: Geleso, Mulugeta Geremew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274535/
https://www.ncbi.nlm.nih.gov/pubmed/32581610
http://dx.doi.org/10.2147/RMHP.S251376
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author Geleso, Mulugeta Geremew
author_facet Geleso, Mulugeta Geremew
author_sort Geleso, Mulugeta Geremew
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description BACKGROUND: Tuberculosis (TB) is still a public health problem and amongst the top ten leading causes of death. The aim of this paper was to identify the factors that significantly affect the survival of tuberculosis patients. METHODS: A retrospective cohort study was carried out in Adigrat General and Wukro hospitals, Eastern Zone of Tigray region, Ethiopia. Data for this study were obtained from medical records of all TB cases registered from September 2016 to August 2017 in the two hospitals. Log-rank test and Kaplan–Meier plot were used to evaluate the survival pattern of TB patients. A multivariable Cox proportional regression model was employed to identify the predictors of mortality. Factors with a P-value smaller than 0.05 were taken as statistically significant facilitators of TB death. RESULTS: Of the 397 patients studied over the specified period, 23 (5.8%) had died. A statistically significant survival difference was observed among gender, residence, HIV status, treatment category, and age category of patients. In multivariable cox regression, lower survival rates were observed among patients aged ≥45 years (HR = 5.315, 95% CI: 1.231–22.959), relapse cases (HR = 4.069, 95% CI: 1.636–10.119), patients with extrapulmonary TB (HR = 3.054, 95% CI: 1.044–8.940), patients from rural areas (HR = 2.834, 95% CI: 1.161–6.916), patients with a bodyweight of ≤50 kg and HIV-positive patients. CONCLUSION: Based on the survival experience of TB patients, advancing age, extrapulmonary TB infection, living in rural residence, lower bodyweight at beginning of treatment, HIV co-infection, and being a retreatment patient were predictors of mortality. To achieve the “End TB Strategy” goal of zero death, proper targeting of care to these vulnerable groups should be advised.
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spelling pubmed-72745352020-06-23 Modeling the Survival of Tuberculosis Patients in Eastern Zone of Tigray Regional State Geleso, Mulugeta Geremew Risk Manag Healthc Policy Original Research BACKGROUND: Tuberculosis (TB) is still a public health problem and amongst the top ten leading causes of death. The aim of this paper was to identify the factors that significantly affect the survival of tuberculosis patients. METHODS: A retrospective cohort study was carried out in Adigrat General and Wukro hospitals, Eastern Zone of Tigray region, Ethiopia. Data for this study were obtained from medical records of all TB cases registered from September 2016 to August 2017 in the two hospitals. Log-rank test and Kaplan–Meier plot were used to evaluate the survival pattern of TB patients. A multivariable Cox proportional regression model was employed to identify the predictors of mortality. Factors with a P-value smaller than 0.05 were taken as statistically significant facilitators of TB death. RESULTS: Of the 397 patients studied over the specified period, 23 (5.8%) had died. A statistically significant survival difference was observed among gender, residence, HIV status, treatment category, and age category of patients. In multivariable cox regression, lower survival rates were observed among patients aged ≥45 years (HR = 5.315, 95% CI: 1.231–22.959), relapse cases (HR = 4.069, 95% CI: 1.636–10.119), patients with extrapulmonary TB (HR = 3.054, 95% CI: 1.044–8.940), patients from rural areas (HR = 2.834, 95% CI: 1.161–6.916), patients with a bodyweight of ≤50 kg and HIV-positive patients. CONCLUSION: Based on the survival experience of TB patients, advancing age, extrapulmonary TB infection, living in rural residence, lower bodyweight at beginning of treatment, HIV co-infection, and being a retreatment patient were predictors of mortality. To achieve the “End TB Strategy” goal of zero death, proper targeting of care to these vulnerable groups should be advised. Dove 2020-05-25 /pmc/articles/PMC7274535/ /pubmed/32581610 http://dx.doi.org/10.2147/RMHP.S251376 Text en © 2020 Geleso. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Geleso, Mulugeta Geremew
Modeling the Survival of Tuberculosis Patients in Eastern Zone of Tigray Regional State
title Modeling the Survival of Tuberculosis Patients in Eastern Zone of Tigray Regional State
title_full Modeling the Survival of Tuberculosis Patients in Eastern Zone of Tigray Regional State
title_fullStr Modeling the Survival of Tuberculosis Patients in Eastern Zone of Tigray Regional State
title_full_unstemmed Modeling the Survival of Tuberculosis Patients in Eastern Zone of Tigray Regional State
title_short Modeling the Survival of Tuberculosis Patients in Eastern Zone of Tigray Regional State
title_sort modeling the survival of tuberculosis patients in eastern zone of tigray regional state
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274535/
https://www.ncbi.nlm.nih.gov/pubmed/32581610
http://dx.doi.org/10.2147/RMHP.S251376
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