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Cardiovascular Risk Factors Among Patients Infected with COVID-19 in Saudi Arabia
Mashael K Alshaikh1, Hadil Alotair2, Farrah Alnajjar3
1Department of Pharmacy Services, King Saud University Medical City, Riyadh, Saudi Arabia.
Insights
Cardiovascular disease risk factors are common in Saudi COVID-19 patients. The Framingham Risk Score helps identify these risks and predict severe outcomes in patients with COVID-19.
Area of Science:
- Cardiology
- Infectious Diseases
- Public Health
Background:
- The COVID-19 pandemic has placed a significant burden on global healthcare systems.
- Patients with underlying cardiovascular disease (CVD) face higher risks of severe COVID-19 outcomes.
- Understanding CVD risk factors in COVID-19 patients is crucial for risk stratification and management.
Purpose of the Study:
- To determine the prevalence of cardiovascular disease risk factors among COVID-19 patients using the Framingham Risk Score (FRS).
- To assess the association between identified CVD risk factors and clinical outcomes in COVID-19 patients.
Main Methods:
- A retrospective cross-sectional study was conducted with 206 COVID-19 patients (aged 18-80) at King Saud University Medical City, Riyadh, Saudi Arabia.
- Patients' electronic health records were reviewed to assess CVD risk factors using the Framingham Risk Score (FRS).
- Participants were categorized into low, intermediate, and high CVD risk groups based on FRS.
Main Results:
- The study included 206 patients, with 67% being male and a mean age of 55.3 years.
- High prevalence of comorbidities was observed: hypertension (48.1%), diabetes (45.1%), and ischemic heart disease (11.2%).
- Age, male gender, hypertension, and diabetes were significantly associated with intermediate and high FRS categories. Pneumonia and longer hospital stays correlated with intermediate FRS risk.
Conclusions:
- Cardiovascular disease risk factors are prevalent among COVID-19 patients in Saudi Arabia.
- The Framingham Risk Score (FRS) can serve as a valuable tool for identifying CVD risk factors in COVID-19 patients.
- FRS may aid in predicting a more complicated clinical course for COVID-19 patients with identified risk factors.
Background:
Coronavirus disease (COVID-19) is a global pandemic with more than 60 million cases worldwide and over 1.5 million deaths by March 2021. Its outbreak has caused a huge burden on healthcare systems all over the world. Several studies in the medical literature have suggested that patients with underlying cardiovascular disease (CVD) are at higher risk for developing severe symptoms, poor prognosis, and high mortality rates. The aim of this study was to assess the prevalence of CVD risk factors among COVID-19 patients based on the Framingham risk score (FRS), and to evaluate the association of CVD risk factors with clinical outcomes.
Patients And Methods:
In this retrospective cross-sectional study, we identified 264 confirmed cases with COVID-19 at King Saud University Medical City in Riyadh, Saudi Arabia. Patients aged 18-80 years were included, and their electronic records were reviewed. They were classified into low, intermediate, and high risk of CVD according to FRS classification.
Results:
Two-hundred-six patients (67% male) were included in this study. The mean age was 55.3 ± 15.1 years. Most patients had comorbidities: the most common were hypertension (48.1%), diabetes (45.1%), and ischemic heart disease (11.2%). More than half required intensive care admission, and 58 (28.2%) patients died. Pneumonia was the most frequently observed complication (85%), followed by mechanical ventilation (28.3%) and acute kidney injury (27.7%). Age, male gender, hypertension, and diabetes mellitus showed significant differences between FRS categories, and were associated with intermediate and high-risk groups of FRS (p < 0.05). Pneumonia and length of stay were associated with the Intermediate risk group of FRS.
Conclusion:
Cardiovascular disease risk factors are prevalent in Saudi patients infected with COVID-19. FRS could be a useful tool to identify CVD risk factors among COVID-19 patients and predict a complicated course.
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