Predictors of death among severe COVID-19 patients admitted in Hawassa City, Sidama, Southern Ethiopia: Unmatched case-control study

<h4>Introduction</h4> Since COVID-19 was announced as a worldwide pandemic, the world has been struggling with this disease. In Ethiopia, there is some information on the epidemiological characteristics of the disease and treatment outcomes of COVID-19 patients. But, there is limited evi...

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Main Authors: Samuel Misganaw, Betelhem Eshetu, Adugnaw Adane, Tarekegn Solomon
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977030/?tool=EBI
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author Samuel Misganaw
Betelhem Eshetu
Adugnaw Adane
Tarekegn Solomon
author_facet Samuel Misganaw
Betelhem Eshetu
Adugnaw Adane
Tarekegn Solomon
author_sort Samuel Misganaw
collection DOAJ
description <h4>Introduction</h4> Since COVID-19 was announced as a worldwide pandemic, the world has been struggling with this disease. In Ethiopia, there is some information on the epidemiological characteristics of the disease and treatment outcomes of COVID-19 patients. But, there is limited evidence related to predictors of death in COVID-19 patients. <h4>Objective</h4> To assess the predictor of death among severely ill COVID-19 patients admitted in Hawassa city COVID-19 treatment centers. <h4>Methods</h4> An institution-based unmatched case-control study was conducted at Hawassa city COVID-19 treatment centers from May 2021 to June 2021. All severe COVID-19-related deaths from May 2020 to May 2021 were included in the case group whereas randomly selected discharged severe COVID-19 patients were included in the control group. Extracted information was entered into Epi-data 4.6 and exported to SPSS 25 for analysis. Multivariable binary logistic regression was run to assess predictors. The result was presented as an adjusted odds ratio with a 95% confidence interval. Variables with a 95% confidence interval which not included one were considered statistically significant. <h4>Result</h4> A total of 372 (124 cases and 248 controls) patients were included in the study. Multivariable analysis revealed age ≥ 65 years (AOR = 2.62, 95% CI = 1.33–5.14), having shortness of breath (AOR = 1.87, 95% CI = 1.02–3.44), fatigue (AOR 1.78, 95% CI = 1.09–2.90), altered consciousness (AOR 3.02, 95% CI = 1.40, 6.49), diabetic Mellitus (AOR = 2.79, 95% CI = 1.16–6.73), chronic cerebrovascular disease (AOR = 2.1, 95% CI = 1.23, 3.88) were found to be predictors of death. <h4>Conclusion</h4> Older age, shortness of breath, fatigue, altered consciousness, and comorbidity were predictors of death in Severe COVID-19 patients.
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spelling doaj.art-eccc2a761edc466d8f40b887c571c0962023-03-04T05:31:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01183Predictors of death among severe COVID-19 patients admitted in Hawassa City, Sidama, Southern Ethiopia: Unmatched case-control studySamuel MisganawBetelhem EshetuAdugnaw AdaneTarekegn Solomon<h4>Introduction</h4> Since COVID-19 was announced as a worldwide pandemic, the world has been struggling with this disease. In Ethiopia, there is some information on the epidemiological characteristics of the disease and treatment outcomes of COVID-19 patients. But, there is limited evidence related to predictors of death in COVID-19 patients. <h4>Objective</h4> To assess the predictor of death among severely ill COVID-19 patients admitted in Hawassa city COVID-19 treatment centers. <h4>Methods</h4> An institution-based unmatched case-control study was conducted at Hawassa city COVID-19 treatment centers from May 2021 to June 2021. All severe COVID-19-related deaths from May 2020 to May 2021 were included in the case group whereas randomly selected discharged severe COVID-19 patients were included in the control group. Extracted information was entered into Epi-data 4.6 and exported to SPSS 25 for analysis. Multivariable binary logistic regression was run to assess predictors. The result was presented as an adjusted odds ratio with a 95% confidence interval. Variables with a 95% confidence interval which not included one were considered statistically significant. <h4>Result</h4> A total of 372 (124 cases and 248 controls) patients were included in the study. Multivariable analysis revealed age ≥ 65 years (AOR = 2.62, 95% CI = 1.33–5.14), having shortness of breath (AOR = 1.87, 95% CI = 1.02–3.44), fatigue (AOR 1.78, 95% CI = 1.09–2.90), altered consciousness (AOR 3.02, 95% CI = 1.40, 6.49), diabetic Mellitus (AOR = 2.79, 95% CI = 1.16–6.73), chronic cerebrovascular disease (AOR = 2.1, 95% CI = 1.23, 3.88) were found to be predictors of death. <h4>Conclusion</h4> Older age, shortness of breath, fatigue, altered consciousness, and comorbidity were predictors of death in Severe COVID-19 patients.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977030/?tool=EBI
spellingShingle Samuel Misganaw
Betelhem Eshetu
Adugnaw Adane
Tarekegn Solomon
Predictors of death among severe COVID-19 patients admitted in Hawassa City, Sidama, Southern Ethiopia: Unmatched case-control study
PLoS ONE
title Predictors of death among severe COVID-19 patients admitted in Hawassa City, Sidama, Southern Ethiopia: Unmatched case-control study
title_full Predictors of death among severe COVID-19 patients admitted in Hawassa City, Sidama, Southern Ethiopia: Unmatched case-control study
title_fullStr Predictors of death among severe COVID-19 patients admitted in Hawassa City, Sidama, Southern Ethiopia: Unmatched case-control study
title_full_unstemmed Predictors of death among severe COVID-19 patients admitted in Hawassa City, Sidama, Southern Ethiopia: Unmatched case-control study
title_short Predictors of death among severe COVID-19 patients admitted in Hawassa City, Sidama, Southern Ethiopia: Unmatched case-control study
title_sort predictors of death among severe covid 19 patients admitted in hawassa city sidama southern ethiopia unmatched case control study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977030/?tool=EBI
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AT adugnawadane predictorsofdeathamongseverecovid19patientsadmittedinhawassacitysidamasouthernethiopiaunmatchedcasecontrolstudy
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