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Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study

We aimed to assess the epidemiological, clinical, and laboratory characteristics associated with mortality among hospitalized Egyptian patients with COVID-19. A multicenter, retrospective study was conducted on all polymerase chain reaction (PCR)-confirmed COVID-19 cases admitted through the period...

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Autores principales: AbdelGhaffar, Muhammad M., Omran, Dalia, Elgebaly, Ahmed, Bahbah, Eshak I., Afify, Shimaa, AlSoda, Mohamed, El-Shiekh, Mohamed, ElSayed, Enass S., Shaaban, Soha S., AbdelHafez, Samah, Elkelany, Khaled, Eltayar, Ayman A., Ali, Omnia S., Kamal, Lamiaa, Heiba, Ahmed M., El Askary, Ahmad, Shousha, Hend Ibrahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752027/
https://www.ncbi.nlm.nih.gov/pubmed/35015782
http://dx.doi.org/10.1371/journal.pone.0262348
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author AbdelGhaffar, Muhammad M.
Omran, Dalia
Elgebaly, Ahmed
Bahbah, Eshak I.
Afify, Shimaa
AlSoda, Mohamed
El-Shiekh, Mohamed
ElSayed, Enass S.
Shaaban, Soha S.
AbdelHafez, Samah
Elkelany, Khaled
Eltayar, Ayman A.
Ali, Omnia S.
Kamal, Lamiaa
Heiba, Ahmed M.
El Askary, Ahmad
Shousha, Hend Ibrahim
author_facet AbdelGhaffar, Muhammad M.
Omran, Dalia
Elgebaly, Ahmed
Bahbah, Eshak I.
Afify, Shimaa
AlSoda, Mohamed
El-Shiekh, Mohamed
ElSayed, Enass S.
Shaaban, Soha S.
AbdelHafez, Samah
Elkelany, Khaled
Eltayar, Ayman A.
Ali, Omnia S.
Kamal, Lamiaa
Heiba, Ahmed M.
El Askary, Ahmad
Shousha, Hend Ibrahim
author_sort AbdelGhaffar, Muhammad M.
collection PubMed
description We aimed to assess the epidemiological, clinical, and laboratory characteristics associated with mortality among hospitalized Egyptian patients with COVID-19. A multicenter, retrospective study was conducted on all polymerase chain reaction (PCR)-confirmed COVID-19 cases admitted through the period from April to July 2020. A generalized linear model was reconstructed with covariates based on predictor’s statistical significance and clinically relevance. The odds ratio (OR) was calculated by using stepwise logistic regression modeling. A total of 3712 hospitalized patients were included; of them, 900 deaths were recorded (24.2%). Compared to survived patients, non-survived patients were more likely to be older than 60 years (65.7%), males (53.6%) diabetic (37.6%), hypertensive (37.2%), and had chronic renal insufficiency (9%). Non-survived patients were less likely to receive azithromycin (p <0.001), anticoagulants (p <0.001), and steroids (p <0.001). We found that age ≥ 60 years old (OR = 2.82, 95% CI 2.05–3.86; p <0.0001), diabetes mellitus (OR = 1.58, 95% CI 1.14–2.19; p = 0.006), hypertension (OR = 1.69, 95% CI 1.22–2.36; p = 0.002), chronic renal insufficiency (OR = 3.15, 95% CI 1.84–5.38; p <0.0001), tachycardia (OR = 1.65, 95% CI 1.22–2.23; p <0.001), hypoxemia (OR = 5.69, 95% CI 4.05–7.98; p <0.0001), GCS <13 (OR 515.2, 95% CI 148.5–1786.9; p <0.0001), the use of therapeutic dose of anticoagulation (OR = 0.4, 95% CI 0.22–0.74, p = 0.003) and azithromycin (OR = 0.16, 95% CI 0.09–0.26; p <0.0001) were independent negative predictors of mortality. In conclusion, age >60 years, comorbidities, tachycardia, hypoxemia, and altered consciousness level are independent predictors of mortality among Egyptian hospitalized patients with COVID-19. On the other hand, the use of anticoagulants and azithromycin is associated with reduced mortality.
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spelling pubmed-87520272022-01-12 Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study AbdelGhaffar, Muhammad M. Omran, Dalia Elgebaly, Ahmed Bahbah, Eshak I. Afify, Shimaa AlSoda, Mohamed El-Shiekh, Mohamed ElSayed, Enass S. Shaaban, Soha S. AbdelHafez, Samah Elkelany, Khaled Eltayar, Ayman A. Ali, Omnia S. Kamal, Lamiaa Heiba, Ahmed M. El Askary, Ahmad Shousha, Hend Ibrahim PLoS One Research Article We aimed to assess the epidemiological, clinical, and laboratory characteristics associated with mortality among hospitalized Egyptian patients with COVID-19. A multicenter, retrospective study was conducted on all polymerase chain reaction (PCR)-confirmed COVID-19 cases admitted through the period from April to July 2020. A generalized linear model was reconstructed with covariates based on predictor’s statistical significance and clinically relevance. The odds ratio (OR) was calculated by using stepwise logistic regression modeling. A total of 3712 hospitalized patients were included; of them, 900 deaths were recorded (24.2%). Compared to survived patients, non-survived patients were more likely to be older than 60 years (65.7%), males (53.6%) diabetic (37.6%), hypertensive (37.2%), and had chronic renal insufficiency (9%). Non-survived patients were less likely to receive azithromycin (p <0.001), anticoagulants (p <0.001), and steroids (p <0.001). We found that age ≥ 60 years old (OR = 2.82, 95% CI 2.05–3.86; p <0.0001), diabetes mellitus (OR = 1.58, 95% CI 1.14–2.19; p = 0.006), hypertension (OR = 1.69, 95% CI 1.22–2.36; p = 0.002), chronic renal insufficiency (OR = 3.15, 95% CI 1.84–5.38; p <0.0001), tachycardia (OR = 1.65, 95% CI 1.22–2.23; p <0.001), hypoxemia (OR = 5.69, 95% CI 4.05–7.98; p <0.0001), GCS <13 (OR 515.2, 95% CI 148.5–1786.9; p <0.0001), the use of therapeutic dose of anticoagulation (OR = 0.4, 95% CI 0.22–0.74, p = 0.003) and azithromycin (OR = 0.16, 95% CI 0.09–0.26; p <0.0001) were independent negative predictors of mortality. In conclusion, age >60 years, comorbidities, tachycardia, hypoxemia, and altered consciousness level are independent predictors of mortality among Egyptian hospitalized patients with COVID-19. On the other hand, the use of anticoagulants and azithromycin is associated with reduced mortality. Public Library of Science 2022-01-11 /pmc/articles/PMC8752027/ /pubmed/35015782 http://dx.doi.org/10.1371/journal.pone.0262348 Text en © 2022 AbdelGhaffar 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
AbdelGhaffar, Muhammad M.
Omran, Dalia
Elgebaly, Ahmed
Bahbah, Eshak I.
Afify, Shimaa
AlSoda, Mohamed
El-Shiekh, Mohamed
ElSayed, Enass S.
Shaaban, Soha S.
AbdelHafez, Samah
Elkelany, Khaled
Eltayar, Ayman A.
Ali, Omnia S.
Kamal, Lamiaa
Heiba, Ahmed M.
El Askary, Ahmad
Shousha, Hend Ibrahim
Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study
title Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study
title_full Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study
title_fullStr Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study
title_full_unstemmed Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study
title_short Prediction of mortality in hospitalized Egyptian patients with Coronavirus disease-2019: A multicenter retrospective study
title_sort prediction of mortality in hospitalized egyptian patients with coronavirus disease-2019: a multicenter retrospective study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752027/
https://www.ncbi.nlm.nih.gov/pubmed/35015782
http://dx.doi.org/10.1371/journal.pone.0262348
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