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Survival and predictors of mortality among patients admitted to the intensive care units in southern Ethiopia: A multi-center cohort study

BACKGROUND: The burden of life-threatening conditions requiring intensive care units has grown substantially in low-income countries related to an emerging pandemic, urbanization, and hospital expansion. The rate of ICU mortality varied from region to region in Ethiopia. However, the body of evidenc...

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Autores principales: Abate, Semagn Mekonnen, Assen, Sofia, Yinges, Mengistu, Basu, Bivash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091884/
https://www.ncbi.nlm.nih.gov/pubmed/33996053
http://dx.doi.org/10.1016/j.amsu.2021.102318
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author Abate, Semagn Mekonnen
Assen, Sofia
Yinges, Mengistu
Basu, Bivash
author_facet Abate, Semagn Mekonnen
Assen, Sofia
Yinges, Mengistu
Basu, Bivash
author_sort Abate, Semagn Mekonnen
collection PubMed
description BACKGROUND: The burden of life-threatening conditions requiring intensive care units has grown substantially in low-income countries related to an emerging pandemic, urbanization, and hospital expansion. The rate of ICU mortality varied from region to region in Ethiopia. However, the body of evidence on ICU mortality and its predictors is uncertain. This study was designed to investigate the pattern of disease and predictors of mortality in Southern Ethiopia. METHODS: After obtaining ethical clearance from the Institutional Review Board (IRB), a multi-center cohort study was conducted among three teaching referral hospital ICUs in Ethiopia from June 2018 to May 2020. Five hundred and seventeen Adult ICU patients were selected. Data were entered in Statistical Package for Social Sciences version 22 and STATA version 16 for analysis. Descriptive statistics were run to see the overall distribution of the variables. Chi-square test and odds ratio were determined to identify the association between independent and dependent variables. Multivariate analysis was conducted to control possible confounders and identify independent predictors of ICU mortality. RESULTS: The mean (±SD) of the patients admitted in ICU was 34.25(±5.25). The overall ICU mortality rate was 46.8%. The study identified different independent predictors of mortality. Patients with cardiac arrest were approximately 12 times more likely to die as compared to those who didn't, AOR = 11.9(95% CI:6.1 to 23.2). CONCLUSION: The overall mortality rate in ICU was very high as compared to other studies in Ethiopia as well as globally which entails a rigorous activity from different stakeholders.
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spelling pubmed-80918842021-05-13 Survival and predictors of mortality among patients admitted to the intensive care units in southern Ethiopia: A multi-center cohort study Abate, Semagn Mekonnen Assen, Sofia Yinges, Mengistu Basu, Bivash Ann Med Surg (Lond) Cohort Study BACKGROUND: The burden of life-threatening conditions requiring intensive care units has grown substantially in low-income countries related to an emerging pandemic, urbanization, and hospital expansion. The rate of ICU mortality varied from region to region in Ethiopia. However, the body of evidence on ICU mortality and its predictors is uncertain. This study was designed to investigate the pattern of disease and predictors of mortality in Southern Ethiopia. METHODS: After obtaining ethical clearance from the Institutional Review Board (IRB), a multi-center cohort study was conducted among three teaching referral hospital ICUs in Ethiopia from June 2018 to May 2020. Five hundred and seventeen Adult ICU patients were selected. Data were entered in Statistical Package for Social Sciences version 22 and STATA version 16 for analysis. Descriptive statistics were run to see the overall distribution of the variables. Chi-square test and odds ratio were determined to identify the association between independent and dependent variables. Multivariate analysis was conducted to control possible confounders and identify independent predictors of ICU mortality. RESULTS: The mean (±SD) of the patients admitted in ICU was 34.25(±5.25). The overall ICU mortality rate was 46.8%. The study identified different independent predictors of mortality. Patients with cardiac arrest were approximately 12 times more likely to die as compared to those who didn't, AOR = 11.9(95% CI:6.1 to 23.2). CONCLUSION: The overall mortality rate in ICU was very high as compared to other studies in Ethiopia as well as globally which entails a rigorous activity from different stakeholders. Elsevier 2021-04-17 /pmc/articles/PMC8091884/ /pubmed/33996053 http://dx.doi.org/10.1016/j.amsu.2021.102318 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Cohort Study
Abate, Semagn Mekonnen
Assen, Sofia
Yinges, Mengistu
Basu, Bivash
Survival and predictors of mortality among patients admitted to the intensive care units in southern Ethiopia: A multi-center cohort study
title Survival and predictors of mortality among patients admitted to the intensive care units in southern Ethiopia: A multi-center cohort study
title_full Survival and predictors of mortality among patients admitted to the intensive care units in southern Ethiopia: A multi-center cohort study
title_fullStr Survival and predictors of mortality among patients admitted to the intensive care units in southern Ethiopia: A multi-center cohort study
title_full_unstemmed Survival and predictors of mortality among patients admitted to the intensive care units in southern Ethiopia: A multi-center cohort study
title_short Survival and predictors of mortality among patients admitted to the intensive care units in southern Ethiopia: A multi-center cohort study
title_sort survival and predictors of mortality among patients admitted to the intensive care units in southern ethiopia: a multi-center cohort study
topic Cohort Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8091884/
https://www.ncbi.nlm.nih.gov/pubmed/33996053
http://dx.doi.org/10.1016/j.amsu.2021.102318
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