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Survival analysis of COVID-19 patients in Ethiopia: A hospital-based study

BACKGROUND: COVID-19 is a global public health problem causing high mortality worldwide. This study aimed to assess time to death and predictors of mortality among patients hospitalized for COVID-19 in the Arsi zone treatment center. METHOD: We performed a retrospective observational cohort study us...

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Autores principales: Kaso, Abdene Weya, Agero, Gebi, Hurissa, Zewdu, Kaso, Taha, Ewune, Helen Ali, Hareru, Habtamu Endashaw, Hailu, Alemayehu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084518/
https://www.ncbi.nlm.nih.gov/pubmed/35533178
http://dx.doi.org/10.1371/journal.pone.0268280
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author Kaso, Abdene Weya
Agero, Gebi
Hurissa, Zewdu
Kaso, Taha
Ewune, Helen Ali
Hareru, Habtamu Endashaw
Hailu, Alemayehu
author_facet Kaso, Abdene Weya
Agero, Gebi
Hurissa, Zewdu
Kaso, Taha
Ewune, Helen Ali
Hareru, Habtamu Endashaw
Hailu, Alemayehu
author_sort Kaso, Abdene Weya
collection PubMed
description BACKGROUND: COVID-19 is a global public health problem causing high mortality worldwide. This study aimed to assess time to death and predictors of mortality among patients hospitalized for COVID-19 in the Arsi zone treatment center. METHOD: We performed a retrospective observational cohort study using medical records of laboratory-confirmed COVID-19 cases hospitalized at Bokoji Hospital COVID-19 treatment center from 1(st) July 2020 to 5(th) March 2021. We extracted data on the patients’ sociodemographic and clinical characteristics from medical records of hospitalized patients retrospectively. We carried out Kaplan Meier and Cox regression analysis to estimate survival probability and investigate predictors of COVID-19 death 5% level of significance. The Adjusted Hazard Ratio (aHR) with 95% Confidence Interval (CI) was estimated and interpreted for predictors of time to death in the final cox model. RESULT: A total of 422 COVID-19 patients treated were analyzed, of these more than one tenth (11.14%) deaths, with a mortality rate of 6.35 cases per 1000 person-days. The majority (87.2%) of deaths occurred within the first 14 days of admission, with a median time-to-death of nine (IQR: 8–12) days. We found patients that age between 31 and 45 years (aHR = 2.55; 95% CI: (1.03, 6.34), older than 46 years (aHR = 2.59 (1.27, 5.30), chronic obstructive pulmonary disease (aHR = 4.60, 95%CI: (2.37, 8.91), Chronic kidney disease (aHR = 5.58, 95%CI: (1.70, 18.37), HIV/AIDS (aHR = 3.66, 95%CI: (1.20, 11.10), admission to the Intensive care unit(aHR = 7.44, 95%CI: (1.82, 30.42), and being on intranasal oxygen care (aHR = 6.27, 95%CI: (2.75, 4.30) were independent risk factors increasing risk of death from COVID-19 disease than their counterparts. CONCLUSION: The risk of dying due to COVID-19 disease was higher among patients with HIV/AIDS, chronic obstructive pulmonary disease, and chronic kidney diseases. We also found that older people, those admitted to ICU, and patients who received intranasal oxygen care had a higher risk of dying due to COVID-19 disease. Therefore, close monitoring hospitalized patients that are old aged and those with comorbidities after hospitalization is crucial within the first ten days of admission.
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spelling pubmed-90845182022-05-10 Survival analysis of COVID-19 patients in Ethiopia: A hospital-based study Kaso, Abdene Weya Agero, Gebi Hurissa, Zewdu Kaso, Taha Ewune, Helen Ali Hareru, Habtamu Endashaw Hailu, Alemayehu PLoS One Research Article BACKGROUND: COVID-19 is a global public health problem causing high mortality worldwide. This study aimed to assess time to death and predictors of mortality among patients hospitalized for COVID-19 in the Arsi zone treatment center. METHOD: We performed a retrospective observational cohort study using medical records of laboratory-confirmed COVID-19 cases hospitalized at Bokoji Hospital COVID-19 treatment center from 1(st) July 2020 to 5(th) March 2021. We extracted data on the patients’ sociodemographic and clinical characteristics from medical records of hospitalized patients retrospectively. We carried out Kaplan Meier and Cox regression analysis to estimate survival probability and investigate predictors of COVID-19 death 5% level of significance. The Adjusted Hazard Ratio (aHR) with 95% Confidence Interval (CI) was estimated and interpreted for predictors of time to death in the final cox model. RESULT: A total of 422 COVID-19 patients treated were analyzed, of these more than one tenth (11.14%) deaths, with a mortality rate of 6.35 cases per 1000 person-days. The majority (87.2%) of deaths occurred within the first 14 days of admission, with a median time-to-death of nine (IQR: 8–12) days. We found patients that age between 31 and 45 years (aHR = 2.55; 95% CI: (1.03, 6.34), older than 46 years (aHR = 2.59 (1.27, 5.30), chronic obstructive pulmonary disease (aHR = 4.60, 95%CI: (2.37, 8.91), Chronic kidney disease (aHR = 5.58, 95%CI: (1.70, 18.37), HIV/AIDS (aHR = 3.66, 95%CI: (1.20, 11.10), admission to the Intensive care unit(aHR = 7.44, 95%CI: (1.82, 30.42), and being on intranasal oxygen care (aHR = 6.27, 95%CI: (2.75, 4.30) were independent risk factors increasing risk of death from COVID-19 disease than their counterparts. CONCLUSION: The risk of dying due to COVID-19 disease was higher among patients with HIV/AIDS, chronic obstructive pulmonary disease, and chronic kidney diseases. We also found that older people, those admitted to ICU, and patients who received intranasal oxygen care had a higher risk of dying due to COVID-19 disease. Therefore, close monitoring hospitalized patients that are old aged and those with comorbidities after hospitalization is crucial within the first ten days of admission. Public Library of Science 2022-05-09 /pmc/articles/PMC9084518/ /pubmed/35533178 http://dx.doi.org/10.1371/journal.pone.0268280 Text en © 2022 Kaso et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kaso, Abdene Weya
Agero, Gebi
Hurissa, Zewdu
Kaso, Taha
Ewune, Helen Ali
Hareru, Habtamu Endashaw
Hailu, Alemayehu
Survival analysis of COVID-19 patients in Ethiopia: A hospital-based study
title Survival analysis of COVID-19 patients in Ethiopia: A hospital-based study
title_full Survival analysis of COVID-19 patients in Ethiopia: A hospital-based study
title_fullStr Survival analysis of COVID-19 patients in Ethiopia: A hospital-based study
title_full_unstemmed Survival analysis of COVID-19 patients in Ethiopia: A hospital-based study
title_short Survival analysis of COVID-19 patients in Ethiopia: A hospital-based study
title_sort survival analysis of covid-19 patients in ethiopia: a hospital-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084518/
https://www.ncbi.nlm.nih.gov/pubmed/35533178
http://dx.doi.org/10.1371/journal.pone.0268280
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