Background: Atherosclerotic cardiovascular disease (ASCVD) continues to be the first cause of mortality globally. Effective preventive strategies require focused efforts to clarify ASCVD risk factors in different subgroups of a population. This study aimed to identify individuals at higher risk of ASCVD among Shiraz University employees to guide decision-making for primary prevention.
Methods: This cohort-based cross-sectional study was conducted on data of 1191 participants (25-70 years old) from Shiraz University employees selected by systematic random sampling. The 10-year ASCVD risk was calculated with an ASCVD risk score estimator developed by the American College of Cardiology/American Heart Association (ACC/AHA). To analyze the data, descriptive and chi-square tests were used. All statistical analyses were conducted using the SPSS version 16.0 software. The p-value < 0.05 was considered a significant level.
Results: This study demonstrated that 75.3% of the participants had low risk scores, whereas 13.2% and 2.5% of them had intermediate and high risk scores, respectively. Additionally, it revealed that among women 93.7%, 2.7%, and 0.6% had low intermediate and had high risk scores, respectively, whereas among men, 61.5%, 21.1%, and 3.9% had low intermediate and high risk scores, respectively. Based on the results of the chi-square test, men were significantly more prone to ASCVD (38.5%) than women (6.3%) were. Interestingly, 40.9% of known cases of hypertension had uncontrolled blood pressure, and 62.5% of individuals without any history of hypertension, who were considered new cases of hypertension, had abnormal blood pressure. Furthermore, 38.5% of diabetic patients and 1.6% of people who did not have a history of diabetes had abnormal serum fasting blood sugar.
Conclusion: It was revealed that nearly 15.7% of participants were at intermediate and high risk of developing ASCVD in the next 10 years with greater risk in men. Considerably, some of hypertensive and diabetic participants had uncontrolled blood pressure and blood sugar levels, respectively. New cases of diabetes and hypertension were also recognized in our study. Therefore, to address the primary prevention of ASCVD in this population, it is necessary to have plans for targeted interventions, which can be effective in modifying their risk factors.
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http://dx.doi.org/10.1186/s12872-022-02601-0 | DOI Listing |
Eur J Prev Cardiol
January 2025
Department of Cardiology, Kailuan General Hospital, Tangshan 063001, Hebei, CN.
Background: The precise pathways connecting insulin resistance (IR) to atherosclerotic cardiovascular disease (ASCVD) remain undefined. The present study aimed to examine the mediating role of arterial stiffness in the association between IR and ASCVD, providing epidemiology insights into the potential mechanisms driving IR to incident ASCVD.
Methods: A total of 59,777 participants from the Kailuan Study Arterial Stiffness Subcohort who were free of ASCVD at baseline were enrolled in the present study.
Curr Opin Lipidol
January 2025
Department of Cardiovascular Sciences and Department of Medicine, Lewis Katz School of Medicine at Temple University, Philadelphia, Pennsylvania, USA.
Purpose Of Review: For many years, inflammation has been a major concept in basic research on atherosclerosis and in the development of potential diagnostic tools and treatments. The purpose of this review is to assess the performance of this concept with an emphasis on recent clinical trials. In addition, contemporary literature may help identify new therapeutic targets, particularly in the context of the treatment of early, rather than end-stage, arterial disease.
View Article and Find Full Text PDFEur Heart J Digit Health
January 2025
School of Life Course & Population Sciences, King's College London, SE1 1UL London, UK.
Cardiovascular disease (CVD) remains a major cause of mortality in the UK, prompting the need for improved risk predictive models for primary prevention. Machine learning (ML) models utilizing electronic health records (EHRs) offer potential enhancements over traditional risk scores like QRISK3 and ASCVD. To systematically evaluate and compare the efficacy of ML models against conventional CVD risk prediction algorithms using EHR data for medium to long-term (5-10 years) CVD risk prediction.
View Article and Find Full Text PDFFront Nutr
January 2025
Department of Critical Care Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Background: Dyslipidemia is a major risk factor for cardiovascular disease (CVD) and atherosclerotic CVD (ASCVD). The composite dietary antioxidant index (CDAI), an emerging measure of combined dietary antioxidant exposure, may provide insights into the relationship between diet and CVD/ASCVD outcomes. We aimed to explore the association between CDAI and the prevalence of CVD/ASCVD, as well as CVD mortality in individuals with dyslipidemia.
View Article and Find Full Text PDFJ Diabetes Metab Disord
June 2025
Research Department, Hospital Clinica Nova de Monterrey, Av. Del Bosque 139 Cuahtemoc, San Nicolas de los Garza, Nuevo León, 66450 México.
Objectives: The objective of this study is to determine if the detection of DAN through Sudoscan can reclassify cardiovascular risk in patients with T2DM according to the European Society of Cardiology guidelines 2023 (ESC 2023) compared to other risk scales.
Methods: A retrospective cross-sectional analytical study was conducted on 161 patients with T2DM who had undergone Sudoscan in a Northern Mexico Hospital between December 2022 and July 2023. We compared the cardiovascular risk with SCORE-2, SMART, ADVANCE, ASCVD plus, and Globo Risk scales.
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