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...

Full description

Saved in:
Bibliographic Details
Main Authors: Olayan Albalawi (Author), Yousef Alharbi (Author), Mohsen Bakouri (Author), Abdulrahman Alqahtani (Author), Thamer Alanazi (Author), Abdullah Z. Almutairi (Author), Bandar Alosaimi (Author), Ayman Mubarak (Author), Ranjay K. Choudhary (Author), Wael Alturaiki (Author)
Format: Book
Published: Elsevier, 2021-08-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_82d85f7f50aa4d22a3a4315ce6beec6d
042 |a dc 
100 1 0 |a Olayan Albalawi  |e author 
700 1 0 |a Yousef Alharbi  |e author 
700 1 0 |a Mohsen Bakouri  |e author 
700 1 0 |a Abdulrahman Alqahtani  |e author 
700 1 0 |a Thamer Alanazi  |e author 
700 1 0 |a Abdullah Z. Almutairi  |e author 
700 1 0 |a Bandar Alosaimi  |e author 
700 1 0 |a Ayman Mubarak  |e author 
700 1 0 |a Ranjay K. Choudhary  |e author 
700 1 0 |a Wael Alturaiki  |e author 
245 0 0 |a Clinical characteristics and predictors of mortality among COVID-19 patients in Saudi Arabia 
260 |b Elsevier,   |c 2021-08-01T00:00:00Z. 
500 |a 1876-0341 
500 |a 10.1016/j.jiph.2021.06.005 
520 |a 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. 
546 |a EN 
690 |a COVID-19 
690 |a Coronavirus 
690 |a Data analysis 
690 |a Clinical characteristics 
690 |a Saudi Arabia 
690 |a Infectious and parasitic diseases 
690 |a RC109-216 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Journal of Infection and Public Health, Vol 14, Iss 8, Pp 994-1000 (2021) 
787 0 |n http://www.sciencedirect.com/science/article/pii/S187603412100160X 
787 0 |n https://doaj.org/toc/1876-0341 
856 4 1 |u https://doaj.org/article/82d85f7f50aa4d22a3a4315ce6beec6d  |z Connect to this object online.