Key result
QRISK shows the highest applicability at ~99% for retrospective ACS risk assessment in Saudi patients.
Why the study?
Risk prediction tools for cardiovascular disease may vary in accuracy across populations, and their applicability and risk stratification performance among Saudi patients with ACS were unclear.
Which cardiovascular risk assessment tool (QRISK, FRS, ACC/AHA, SCORE) has the highest applicability and risk stratification performance among Saudi patients with a history of MI?
Cross-Sectional (n=65)
No
Which cardiovascular risk assessment tool (QRISK, FRS, ACC/AHA, SCORE) has the highest applicability and risk stratification performance among Saudi patients with a history of MI?
Among Saudi patients with MI, QRISK® showed the highest retrospective applicability for risk assessment, though variability in high-risk classification across tools highlights the need for population-specific validation.
May inform local CVD risk tool selection in Saudi Arabia; hypothesis-generating and requires prospective validation before practice change.
Introduction Cardiovascular disease (CVD) is the leading cause of death globally and continues to pose significant challenges to public health in Saudi Arabia. Risk prediction tools are essential in guiding preventive strategies, yet their accuracy may vary across populations. This study aimed to assess and compare the applicability, which was based on the availability of all required variables, and the risk stratification performance of four cardiovascular risk assessment tools, such as the Framingham Risk Score (FRS), American College of Cardiology/American Heart Association (ACC/AHA) Atherosclerotic Cardiovascular Disease (ASCVD) Risk Estimator, Systematic Coronary Risk Evaluation (SCORE), and QRISK®, among Saudi patients diagnosed with acute coronary syndrome (ACS). Methods A retrospective cross-sectional study was conducted at Alhada Armed Forces Hospital in Taif, Saudi Arabia, including all Saudi patients aged 18 years and older who were diagnosed with either a first or second myocardial infarction (MI) between January 2020 and January 2025. Data were collected through patient interviews and electronic medical records to retrospectively reconstruct the cardiovascular risk profile prior to the first MI event. Risk scores were calculated using the four tools, and each tool's applicability was based on the availability of all required variables. Statistical analyses were performed to assess tool applicability, risk stratification, and correlations among the tools. Results A total of 65 patients were included, with a mean age of 61 ± 13 years and a mean BMI of 29.9 ± 4.5 kg/m². The majority were male (76.9%), and common comorbidities included hypertension (49.2%), chronic kidney disease (10.8%), and atrial fibrillation (12.3%). QRISK® had the highest applicability (98.5%), followed by FRS (86.2%), ACC/AHA ASCVD Risk Estimator (73.8%), and SCORE (66.2%). SCORE identified the highest proportion of high-risk patients (24.3%), followed by QRISK® (21.6%) and FRS (13.5%). Strong-to-very strong correlations were observed between the tools, especially between QRISK® and ACC/AHA ASCVD Risk Estimator (r = 0.937) and QRISK® and FRS (r = 0.905). Conclusion QRISK® showed the highest applicability in this cohort; however, applicability does not reflect predictive accuracy. As these tools were designed for primary prevention, their use in post-MI patients may overestimate risk. Variability in high-risk classifications by the tools could affect preventive decisions. These findings underscore the need for further validation in larger, prospective, primary prevention studies within the Saudi population.
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Alnefaie et al. (2025) conducted a cross-sectional in Acute coronary syndrome (n=65). Cardiovascular risk assessment tools (QRISK, FRS, SCORE, ACC/AHA) was evaluated on Applicability of cardiovascular risk assessment tools (availability of all required variables). Among Saudi patients with acute coronary syndrome, the QRISK® tool demonstrated the highest applicability (98.5%) for retrospective risk calculation, while SCORE identified the highest proportion of high-risk patients (24.3%).
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