Clinical characteristics and predictors of mortality among COVID-19 patients in Saudi Arabia

Background: The new coronavirus disease (COVID-19) has caused more than 1.8 million deaths, with a fatality rate of 2.5% in more than 200 countries as of January 4, 2021. Analysis of COVID-19 clinical features can help predict disease severity and risk of mortality, early identification of high-risk...

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Main Authors: Olayan Albalawi, Yousef Alharbi, Mohsen Bakouri, Abdulrahman Alqahtani, Thamer Alanazi, Abdullah Z. Almutairi, Bandar Alosaimi, Ayman Mubarak, Ranjay K. Choudhary, Wael Alturaiki
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Journal of Infection and Public Health
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S187603412100160X
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author Olayan Albalawi
Yousef Alharbi
Mohsen Bakouri
Abdulrahman Alqahtani
Thamer Alanazi
Abdullah Z. Almutairi
Bandar Alosaimi
Ayman Mubarak
Ranjay K. Choudhary
Wael Alturaiki
spellingShingle Olayan Albalawi
Yousef Alharbi
Mohsen Bakouri
Abdulrahman Alqahtani
Thamer Alanazi
Abdullah Z. Almutairi
Bandar Alosaimi
Ayman Mubarak
Ranjay K. Choudhary
Wael Alturaiki
Clinical characteristics and predictors of mortality among COVID-19 patients in Saudi Arabia
Journal of Infection and Public Health
COVID-19
Coronavirus
Data analysis
Clinical characteristics
Saudi Arabia
author_facet Olayan Albalawi
Yousef Alharbi
Mohsen Bakouri
Abdulrahman Alqahtani
Thamer Alanazi
Abdullah Z. Almutairi
Bandar Alosaimi
Ayman Mubarak
Ranjay K. Choudhary
Wael Alturaiki
author_sort Olayan Albalawi
title Clinical characteristics and predictors of mortality among COVID-19 patients in Saudi Arabia
title_short Clinical characteristics and predictors of mortality among COVID-19 patients in Saudi Arabia
title_full Clinical characteristics and predictors of mortality among COVID-19 patients in Saudi Arabia
title_fullStr Clinical characteristics and predictors of mortality among COVID-19 patients in Saudi Arabia
title_full_unstemmed Clinical characteristics and predictors of mortality among COVID-19 patients in Saudi Arabia
title_sort clinical characteristics and predictors of mortality among covid-19 patients in saudi arabia
publisher Elsevier
series Journal of Infection and Public Health
issn 1876-0341
publishDate 2021-08-01
description Background: The new coronavirus disease (COVID-19) has caused more than 1.8 million deaths, with a fatality rate of 2.5% in more than 200 countries as of January 4, 2021. Analysis of COVID-19 clinical features can help predict disease severity and risk of mortality, early identification of high-risk patients, and provide knowledge to inform clinical interventions. Objective: The purpose of this study is to investigate the clinical characteristics and possible predictors associated with mortality in patients with COVID-19 admitted to King Fahad (KFH), Ohood, and Miqat hospitals in Madina, Saudi Arabia. Methods: This retrospective observational study to investigate the clinical characteristic and possible predictors associated with mortality for those 119 mild, moderate, or critically ill patients confirmed by laboratory results to have COVID-19 who were admitted to three hospitals in Madina, Saudi Arabia, from March 25, 2020, to July 30, 2020. Data were collected from December 1, 2020, to December 14, 2020. Results: Of the 119 patients included in the study, the mean age was 54.2 (±15.7) years, with 78.2% survivors and 21.8% non-survivors. The demographic analysis indicated that the likelihood of mortality for patients in the older age group (i.e., ≥65 years) was five times higher than those in the younger age group (OR = 5.34, 95% CI 1.71–16.68, p = 0.004). The results also indicated those patients who admitted to the intensive care unit (ICU) was approximately seven times higher odds of mortality compare with those who were not admitted (OR = 6.48, 95% CI 2.52–16.63, p < 0.001). In addition, six laboratory parameters were positively associated with the odds of mortality: white blood cell count (OR = 1.11, 95% CI 1.02–1.21, p = 0.018), neutrophil (OR = 1.11, 95% CI 1.02–1.22, p = 0.020), creatine kinase myocardial band (OR = 1.02, 95% CI 1.00–1.03, p = 0.030), C-reactive protein (OR = 1.01, 95% CI 1.00–1.01, p = 0.002), urea (OR = 1.06, 95% CI 1.01–1.11, p = 0.026), and lactate dehydrogenase (OR = 1.00, 95% CI 1.00–1.01, p = 0.020). Conclusions: In this cohort, COVID-19 patients within the older age group (≥65 years) admitted to the ICU with increased C-reactive protein levels in particular, were associated with increased odds of mortality. Further clinical observations are warranted to support these findings and enhance the mapping and control of this pandemic.
topic COVID-19
Coronavirus
Data analysis
Clinical characteristics
Saudi Arabia
url http://www.sciencedirect.com/science/article/pii/S187603412100160X
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spelling doaj-82d85f7f50aa4d22a3a4315ce6beec6d2021-07-31T04:38:09ZengElsevierJournal of Infection and Public Health1876-03412021-08-011489941000Clinical characteristics and predictors of mortality among COVID-19 patients in Saudi ArabiaOlayan Albalawi0Yousef Alharbi1Mohsen Bakouri2Abdulrahman Alqahtani3Thamer Alanazi4Abdullah Z. Almutairi5Bandar Alosaimi6Ayman Mubarak7Ranjay K. Choudhary8Wael Alturaiki9Department of Statistic, Faculty of Science, University of Tabuk, Tabuk 47512, Saudi ArabiaDepartment of Medical Equipment Technology, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi ArabiaDepartment of Medical Equipment Technology, College of Applied, Medical Science, Majmaah University, Majmaah City 11952, Saudi Arabia; Department of Physics, College of Arts, Fezzan University, Traghen City 71340, Libya; Health and Basic Sciences Research Center, Majmaah University, Majmaah 11952, Saudi Arabia; Corresponding author at: Department of Medical Equipment Technology, College of Applied Medical Science, Majmaah University, Majmaah City, 11952, Saudi Arabia.Department of Medical Equipment Technology, College of Applied, Medical Science, Majmaah University, Majmaah City 11952, Saudi ArabiaDepartment of Pathology and Laboratory Medicine, King Abdullah Bin Abdulaziz University Hospital, PNU, Riyadh, Saudi ArabiaLaboratory and Blood Bank, King Fahad Hospital, Medina, Saudi ArabiaDepartment of Research Labs, Research Center, King Fahad Medical City, Riyadh 11525, Saudi ArabiaDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi ArabiaDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi ArabiaDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia; Corresponding author.Background: The new coronavirus disease (COVID-19) has caused more than 1.8 million deaths, with a fatality rate of 2.5% in more than 200 countries as of January 4, 2021. Analysis of COVID-19 clinical features can help predict disease severity and risk of mortality, early identification of high-risk patients, and provide knowledge to inform clinical interventions. Objective: The purpose of this study is to investigate the clinical characteristics and possible predictors associated with mortality in patients with COVID-19 admitted to King Fahad (KFH), Ohood, and Miqat hospitals in Madina, Saudi Arabia. Methods: This retrospective observational study to investigate the clinical characteristic and possible predictors associated with mortality for those 119 mild, moderate, or critically ill patients confirmed by laboratory results to have COVID-19 who were admitted to three hospitals in Madina, Saudi Arabia, from March 25, 2020, to July 30, 2020. Data were collected from December 1, 2020, to December 14, 2020. Results: Of the 119 patients included in the study, the mean age was 54.2 (±15.7) years, with 78.2% survivors and 21.8% non-survivors. The demographic analysis indicated that the likelihood of mortality for patients in the older age group (i.e., ≥65 years) was five times higher than those in the younger age group (OR = 5.34, 95% CI 1.71–16.68, p = 0.004). The results also indicated those patients who admitted to the intensive care unit (ICU) was approximately seven times higher odds of mortality compare with those who were not admitted (OR = 6.48, 95% CI 2.52–16.63, p < 0.001). In addition, six laboratory parameters were positively associated with the odds of mortality: white blood cell count (OR = 1.11, 95% CI 1.02–1.21, p = 0.018), neutrophil (OR = 1.11, 95% CI 1.02–1.22, p = 0.020), creatine kinase myocardial band (OR = 1.02, 95% CI 1.00–1.03, p = 0.030), C-reactive protein (OR = 1.01, 95% CI 1.00–1.01, p = 0.002), urea (OR = 1.06, 95% CI 1.01–1.11, p = 0.026), and lactate dehydrogenase (OR = 1.00, 95% CI 1.00–1.01, p = 0.020). Conclusions: In this cohort, COVID-19 patients within the older age group (≥65 years) admitted to the ICU with increased C-reactive protein levels in particular, were associated with increased odds of mortality. Further clinical observations are warranted to support these findings and enhance the mapping and control of this pandemic.http://www.sciencedirect.com/science/article/pii/S187603412100160XCOVID-19CoronavirusData analysisClinical characteristicsSaudi Arabia