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Risk factors associated with worse outcomes in COVID-19: a retrospective study in Saudi Arabia
Anas Khan1,2, Saqer Althunayyan3, Yousef Alsofayan2
1Department of Emergency Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Insights
Older males, those with cardiac or respiratory conditions, and individuals with multiple comorbidities faced higher risks of severe outcomes from COVID-19. This highlights the need for targeted risk assessment in Saudi Arabia.
Area of Science:
- Epidemiology
- Public Health
- Infectious Diseases
Background:
- The COVID-19 pandemic has caused widespread illness and death, straining healthcare systems globally.
- Understanding risk factors for severe COVID-19 outcomes is crucial for effective patient management and resource allocation.
Purpose of the Study:
- To identify demographic and clinical risk factors associated with poor prognosis in COVID-19 patients in Saudi Arabia.
- To inform clinical decision-making and public health strategies for managing COVID-19.
Main Methods:
- A multi-center retrospective cohort study involving 648 laboratory-confirmed COVID-19 cases in Saudi Arabia (March 2020).
- Data on demographics, clinical history, comorbidities, and outcomes were extracted from the National Health Electronic Surveillance Network (HESN).
- Logistic regression models were used to determine odds ratios (OR) for critical outcomes (ICU admission or death).
Main Results:
- Key risk factors for critical outcomes included being male (OR=1.92), age over 60 years (OR=3.65), cardiac diseases (OR=3.05), and chronic respiratory diseases (OR=2.29).
- Patients with two or more comorbidities had a significantly higher risk (OR=2.57) of severe outcomes.
- All identified risk factors were statistically significant (P<0.05) after adjusting for age and sex.
Conclusions:
- Independent predictors of critical COVID-19 outcomes in Saudi Arabia are advanced age, male sex, pre-existing cardiac and chronic respiratory diseases, and multiple comorbidities.
- Development of a specialized multi-item scale is recommended for improved prognostication of COVID-19 patients.
Background:
The rapid emergence of the novel coronavirus disease 2019 (COVID-19) has resulted in millions of infected patients and hundreds of thousands of deaths worldwide. Health care services delivery is being compromised due to the surge in the number of infected patients during this pandemic.
Aims:
This study aimed to assess the risk factors associated with poor prognosis among COVID-19 patients in Saudi Arabia.
Methods:
This was a multi-centre retrospective cohort study that included all laboratory-confirmed COVID-19 cases with definitive outcomes in Saudi Arabia during March 2020. Demographic, clinical history, comorbidity and outcomes data were retrieved from the National Health Electronic Surveillance Network (HESN) database. We used logistic regression models to calculate crude and adjusted odds ratios (OR) to explore risk factors for critical outcomes (intensive care unit admission or death) among COVID-19 cases.
Results:
We included 648 COVID-19-positive patients with a median age of 34 years. Of these, 11.9% were in the critical group. Risk factors associated with worse outcomes included males (OR=1.92), age >60 years (OR=3.65), cardiac diseases (OR=3.05), chronic respiratory diseases (OR=2.29), and cases with two or more comorbidities (OR=2.57) after adjusting for age and sex; all had significant P-values <0.05.
Conclusions:
Independent risk factors for critical outcomes among COVID-19 cases include old age, males, cardiac patients, chronic respiratory diseases, and the presence of two or more comorbidities. We recommend designing a unique multi-item scale system to prognosticate COVID-19 patients.
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