Lujain Alassaf

Background: The prevalence of cardiovascular disease (CVD) risk factors is expected to rise in Saudi Arabia as the prevalence of CVD risk factors rises. Effective primary CVD prevention necessitates risk assessment to categorize patients and select the most appropriate intervention for each category. Objectives: To estimate the prevalence of CVD at primary healthcare (PHC) in Riyadh city and to categorize the at-risk population as a slow, intermediate, or high risk of CVD. Methods: A cross-sectional study was carried out at seven PHC centers in Riyadh. Seven hundred participants (half of whom were males and the other half females) were selected at random from PHCs visitors, and data was collected using a structured questionnaire, as well as required measurements and laboratory investigations. The World Health Organization risk prediction charts were used to calculate CVD risk. Participants were assigned to one of three CVD risk categories (low, intermediate, high). Results: Obesity was found to be the most common risk factor found in this study (53.2%). Overweight (31.2%), with females having higher BMI levels. The study found that 83.4% of participants had low CVD risk, 12.9% had intermediate risk, and 3.7% had high CVD risk category. Age, systolic blood pressure, cholesterol level, smoking, and prior diagnosis of diabetes were all statistically significant predictors of moderate and high CVD risk. Conclusion: CVD risk factors were discovered to be common among study participants. It requires healthcare decision-makers to engage in community-based interventions to decrease the risk of CVD.

The new coronavirus disease 2019 (COVID-19) is a major global concern. Due to the number of asymptomatic cases that go untested, the actual proportion of those who have been infected is likely to be higher than the reported prevalence. Thus, investigating the exact proportion of those who developed antibodies against the virus through serological surveys is crucial to identify the immune status of the population and direct public health decisions accordingly. The aim of this study is to estimate the seroprevalence of SARS-CoV-2 in the community and to describe the epidemiological characteristics of the discovered cases. Between July and October 2020, a cross-sectional sero-survey was conducted including a total of 15,873 serum samples collected from seven regions within the kingdom. Using a multistage convenient sampling, people were invited to participate in an interviewer-administrated questionnaire. Afterward, blood samples were collected and seroprevalence was determined using the SARS-CoV-2 virus IgG/IgM antibody detection kits (ELISA). A p-value of <0.05 and 95% CI were used to report the significance. The overall seroprevalence of SARS-CoV-2 in the sample was 17.0%, and Makkah region constituted the highest number of reactive cases (33.3%). There was a significant association between all comorbidities and having symptoms except for diabetes. In addition, age, education, nationality, and region were all significant predeterminants of sero-result. Also, contact with a confirmed or suspected case increased the risk of being seropositive by nearly 1.5 times. This study estimated the national seroprevalence of SARS-CoV-2 in Saudi Arabia to be 17%. At the time of this study, most of the population did not have the SARS-CoV-2 specific antibodies. This suggests that the population is still below the threshold of herd immunity and emphasizes the importance of mass vaccination programs and abiding by recommended prevention precautions.