Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784631807745982464 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8752027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT abdelghaffarmuhammadm predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT omrandalia predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT elgebalyahmed predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT bahbaheshaki predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT afifyshimaa predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT alsodamohamed predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT elshiekhmohamed predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT elsayedenasss predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT shaabansohas predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT abdelhafezsamah predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT elkelanykhaled predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT eltayaraymana predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT aliomnias predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT kamallamiaa predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT heibaahmedm predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT elaskaryahmad predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy AT shoushahendibrahim predictionofmortalityinhospitalizedegyptianpatientswithcoronavirusdisease2019amulticenterretrospectivestudy |