Prevalence and risk factors associated with mortalities in COVID-19 patients in Jeddah, Kingdom of Saudi Arabia

Background: Since the declaration of COVID-19 as a pandemic; researchers have been trying to discern the risk factors determining mortality of the disease. This study aims to explore the risk factors associated with mortalities among COVID-19 patients in Jeddah governorate, Kingdom of Saudi Arabia. Methodology: Through a record-based retrospective study, laboratory-confirmed cases were included in the study. Results: Out of all respondents (n=381) Most of them were symptomatic (82.9%); mainly cough (44.4%), fever (41.2%), sore throat (22.0%), and runny nose (13.1%). The case mortality rate (CMR) accounted for 19(5.0%); it was higher in males (6.0%), non-Saudis (6.1%), and symptomatic patients (5.4%), however, these differences are not statically significant p>0.05 p<0.05. The binary logistic regression revealed that age was the only significant predictor for mortality, and being old age almost doubles the likelihood of mortality with odds ratio (OR=2.318; 95% CI= 1.806-6.672; p=0.007) Conclusion: The current findings add more evidence to the risk factors of mortality in COVID-19 patients. Age is a significant predictor of mortality, which emphasizes the necessity for targeted care for elderly people to reduce their risk of complications, facilitate recovery, and protect their health and well-being during the pandemic.

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Publication Details

Journal
International Journal of Health Sciences
Published
2024-11-20
DOI
https://doi.org/10.53730/ijhs.v8ns1.15355
Citations
1
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.39
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article

Prevalence and risk factors associated with mortalities in COVID-19 patients in Jeddah, Kingdom of Saudi Arabia

Bayan Fouad Mogharbel, Mohammed Abdul-Aziz Kareem, Amjad Alshehri, Alaa Ali Khalawi et al.
1 citations
International Journal of Health Sciences
COVID-19 Clinical Research Studies
0.39
article

Prevalence and risk factors associated with mortalities in COVID-19 patients in Jeddah, Kingdom of Saudi Arabia

Bayan Fouad Mogharbel, Mohammed Abdul-Aziz Kareem, Amjad Alshehri, Alaa Ali Khalawi, Maimona Kamal Falemban, Osama Abdul Majeed Bugus, Abdullah Alsahfi, Mashhor Alajhar
article en
1 citations

Abstract

Background: Since the declaration of COVID-19 as a pandemic; researchers have been trying to discern the risk factors determining mortality of the disease. This study aims to explore the risk factors associated with mortalities among COVID-19 patients in Jeddah governorate, Kingdom of Saudi Arabia. Methodology: Through a record-based retrospective study, laboratory-confirmed cases were included in the study. Results: Out of all respondents (n=381) Most of them were symptomatic (82.9%); mainly cough (44.4%), fever (41.2%), sore throat (22.0%), and runny nose (13.1%). The case mortality rate (CMR) accounted for 19(5.0%); it was higher in males (6.0%), non-Saudis (6.1%), and symptomatic patients (5.4%), however, these differences are not statically significant p>0.05 p<0.05. The binary logistic regression revealed that age was the only significant predictor for mortality, and being old age almost doubles the likelihood of mortality with odds ratio (OR=2.318; 95% CI= 1.806-6.672; p=0.007) Conclusion: The current findings add more evidence to the risk factors of mortality in COVID-19 patients. Age is a significant predictor of mortality, which emphasizes the necessity for targeted care for elderly people to reduce their risk of complications, facilitate recovery, and protect their health and well-being during the pandemic.

International Journal of Health SciencesVol. 8(S1)
University of Jeddah (SA), Ministry of Health (SA)
Good health and well-being
Openalex Percentile: Top 35%
COVID-19 Clinical Research Studies
0.39
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Prevalence and risk factors associated with mortalities in COVID-19 patients in Jeddah, Kingdom of Saudi Arabia — Bayan Fouad Mogharbel, Mohammed Abdul-Aziz Kareem, et al. · International Journal of Health Sciences (2024) | TGRS Research Map | TGRS