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Characteristics of mechanically ventilated COVID-19 patients in the Al-Ahsa Region of Saudi Arabia: a retrospective study with survival analysis
BACKGROUND: About 5-10% of coronavirus disease 2019 (COVID-19) infected patients require critical care hospitalization and a variety of respiratory support, including invasive mechanical ventilation. Several nationwide studies from Saudi Arabia have identified common comorbidities but none were focu...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
King Faisal Specialist Hospital and Research Centre
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167461/ https://www.ncbi.nlm.nih.gov/pubmed/35658584 http://dx.doi.org/10.5144/0256-4947.2022.165 |
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author | Alamer, Amnah Asdaq, Syed Mohammed Basheeruddin AlYamani, Mohammad AlGhadeer, Hussain Alnasser, Zahra H. Aljassim, Zainab Albattat, Maryam Alhajji, Ahmed Alrashed, Ahmed Mohzari, Yahya Aledrees, Abrar Almuhainy, Badr Abraham, Ivo Alamer, Ahmad |
author_facet | Alamer, Amnah Asdaq, Syed Mohammed Basheeruddin AlYamani, Mohammad AlGhadeer, Hussain Alnasser, Zahra H. Aljassim, Zainab Albattat, Maryam Alhajji, Ahmed Alrashed, Ahmed Mohzari, Yahya Aledrees, Abrar Almuhainy, Badr Abraham, Ivo Alamer, Ahmad |
author_sort | Alamer, Amnah |
collection | PubMed |
description | BACKGROUND: About 5-10% of coronavirus disease 2019 (COVID-19) infected patients require critical care hospitalization and a variety of respiratory support, including invasive mechanical ventilation. Several nationwide studies from Saudi Arabia have identified common comorbidities but none were focused on mechanically ventilated patients in the Al-Ahsa region of Saudi Arabia. OBJECTIVES: Identify characteristics and risk factors for mortality in mechanically ventilated COVID-19 patients. DESIGN: Retrospective chart review SETTING: Two general hospitals in the Al-Ahsa region of Saudi Arabia PATIENTS AND METHODS: We included mechanically ventilated COVID-19 patients (>18 years old) admitted between 1 May and 30 November 2020, in two major general hospitals in the Al-Ahsa region, Saudi Arabia. Descriptive statistics were used to characterize patients. A multivariable Cox proportional hazards (CPH) model was used exploratively to identify hazard ratios (HR) of predictors of mortality. MAIN OUTCOME MEASURES: Patient characteristics, mortality rate, extubation rate, the need for re-intubation and clinical complications during hospitalization. SAMPLE SIZE AND CHARACTERISTICS: 154 mechanically ventilated COVID-19 patients with median (interquartile range) age of 60 (22) years; 65.6% male. RESULTS: Common comorbidities were diabetes (72.2%), hypertension (67%), cardiovascular disease (14.9%) and chronic kidney disease (CKD) (14.3%). In the multivariable CPH model, age >60 years old (HR=1.83, 95% CI 1.2-2.7, P=.002), CKD (1.61, 95% CI 0.9-2.6, P=.062), insulin use (HR=0.65, 95% CI 0.35-.08, P<.001), and use of loop diuretics (HR=0.51, 95% CI 0.4, P=.037) were major predictors of mortality. CONCLUSION: Common diseases in mechanically ventilated COVID-19 patients from the Al-Ahsa region were diabetes, hypertension, other cardiovascular diseases, and CKD in this exploratory analysis. LIMITATIONS: Retrospective, weak CPH model performance. CONFLICTS OF INTEREST: None. |
format | Online Article Text |
id | pubmed-9167461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | King Faisal Specialist Hospital and Research Centre |
record_format | MEDLINE/PubMed |
spelling | pubmed-91674612022-06-21 Characteristics of mechanically ventilated COVID-19 patients in the Al-Ahsa Region of Saudi Arabia: a retrospective study with survival analysis Alamer, Amnah Asdaq, Syed Mohammed Basheeruddin AlYamani, Mohammad AlGhadeer, Hussain Alnasser, Zahra H. Aljassim, Zainab Albattat, Maryam Alhajji, Ahmed Alrashed, Ahmed Mohzari, Yahya Aledrees, Abrar Almuhainy, Badr Abraham, Ivo Alamer, Ahmad Ann Saudi Med Original Article BACKGROUND: About 5-10% of coronavirus disease 2019 (COVID-19) infected patients require critical care hospitalization and a variety of respiratory support, including invasive mechanical ventilation. Several nationwide studies from Saudi Arabia have identified common comorbidities but none were focused on mechanically ventilated patients in the Al-Ahsa region of Saudi Arabia. OBJECTIVES: Identify characteristics and risk factors for mortality in mechanically ventilated COVID-19 patients. DESIGN: Retrospective chart review SETTING: Two general hospitals in the Al-Ahsa region of Saudi Arabia PATIENTS AND METHODS: We included mechanically ventilated COVID-19 patients (>18 years old) admitted between 1 May and 30 November 2020, in two major general hospitals in the Al-Ahsa region, Saudi Arabia. Descriptive statistics were used to characterize patients. A multivariable Cox proportional hazards (CPH) model was used exploratively to identify hazard ratios (HR) of predictors of mortality. MAIN OUTCOME MEASURES: Patient characteristics, mortality rate, extubation rate, the need for re-intubation and clinical complications during hospitalization. SAMPLE SIZE AND CHARACTERISTICS: 154 mechanically ventilated COVID-19 patients with median (interquartile range) age of 60 (22) years; 65.6% male. RESULTS: Common comorbidities were diabetes (72.2%), hypertension (67%), cardiovascular disease (14.9%) and chronic kidney disease (CKD) (14.3%). In the multivariable CPH model, age >60 years old (HR=1.83, 95% CI 1.2-2.7, P=.002), CKD (1.61, 95% CI 0.9-2.6, P=.062), insulin use (HR=0.65, 95% CI 0.35-.08, P<.001), and use of loop diuretics (HR=0.51, 95% CI 0.4, P=.037) were major predictors of mortality. CONCLUSION: Common diseases in mechanically ventilated COVID-19 patients from the Al-Ahsa region were diabetes, hypertension, other cardiovascular diseases, and CKD in this exploratory analysis. LIMITATIONS: Retrospective, weak CPH model performance. CONFLICTS OF INTEREST: None. King Faisal Specialist Hospital and Research Centre 2022-05 2022-06-02 /pmc/articles/PMC9167461/ /pubmed/35658584 http://dx.doi.org/10.5144/0256-4947.2022.165 Text en Copyright © 2022, Annals of Saudi Medicine, Saudi Arabia https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND). The details of which can be accessed at http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Article Alamer, Amnah Asdaq, Syed Mohammed Basheeruddin AlYamani, Mohammad AlGhadeer, Hussain Alnasser, Zahra H. Aljassim, Zainab Albattat, Maryam Alhajji, Ahmed Alrashed, Ahmed Mohzari, Yahya Aledrees, Abrar Almuhainy, Badr Abraham, Ivo Alamer, Ahmad Characteristics of mechanically ventilated COVID-19 patients in the Al-Ahsa Region of Saudi Arabia: a retrospective study with survival analysis |
title | Characteristics of mechanically ventilated COVID-19 patients in the Al-Ahsa Region of Saudi Arabia: a retrospective study with survival analysis |
title_full | Characteristics of mechanically ventilated COVID-19 patients in the Al-Ahsa Region of Saudi Arabia: a retrospective study with survival analysis |
title_fullStr | Characteristics of mechanically ventilated COVID-19 patients in the Al-Ahsa Region of Saudi Arabia: a retrospective study with survival analysis |
title_full_unstemmed | Characteristics of mechanically ventilated COVID-19 patients in the Al-Ahsa Region of Saudi Arabia: a retrospective study with survival analysis |
title_short | Characteristics of mechanically ventilated COVID-19 patients in the Al-Ahsa Region of Saudi Arabia: a retrospective study with survival analysis |
title_sort | characteristics of mechanically ventilated covid-19 patients in the al-ahsa region of saudi arabia: a retrospective study with survival analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9167461/ https://www.ncbi.nlm.nih.gov/pubmed/35658584 http://dx.doi.org/10.5144/0256-4947.2022.165 |
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