Prevecardio: a single-visit population screening model for detection and prevention of 10-year cardiovascular risk

Abstract Introduction Cardiovascular diseases (CVDs) are a major contributor to global mortality. The early detection of cardiovascular risk factors, coupled with timely intervention strategies, is essential for CVD prevention. PreveCardio was developed as an innovative, single-visit population screening model designed to facilitate the early identification and management of cardiovascular risk factors within a population of 1 million in a European capital city region totaling 6 million inhabitants. Purpose This study aimed to ascertain the prevalence of cardiovascular risk factors within the general population and to evaluate the effectiveness of the PreveCardio model in estimating 10-year cardiovascular risks and promoting preventive interventions. Methods In this cross-sectional prevalence study, individuals aged 50 to 75 from a health network were randomly selected and invited to participate in a comprehensive health check. The 30-minute screening consisted of lifestyle evaluations, anthropometric measurements, and blood tests for lipid profiles and glycated haemoglobin. The methodology was designed to provide participants with immediate feedback on their results, cardiovascular health and practical guidance for risk management. Results From the 8,492 individuals solicited, 3,546 took part in the screening: 56,83% were female, mean age 61,17 ± 7,33 y.o. Picture 1 shows the population's percentages with various modifiable cardiovascular risk factors, including 20% with active smoking, 30% with sedentarism, 16% with risky alcohol consumption, 49% with non-adherence to the Mediterranean diet, 40% with overweight, and 30% with obesity. The screening revealed new diagnoses of LDL-hypercholesterolemia in 47% participants, high levels of blood pressure in hypertension range in 49%, prediabetes in 30% and diabetes in 2% (Picture 2). After use SCORE2 and SCORE-OP risk prediction algorithms, PreveCardio is estimated to potentially prevent between 39 to 202 fatal and non-fatal cardiovascular events over 10 years. Predictive modelling based on PreveCardio data projected that expanding the screening across the capital region could prevent at least 26,260 cardiovascular events over 10 years. Conclusion(s) PreveCardio has established itself as a viable and effective model for the early detection of cardiovascular risk factors in a general population. It holds significant promise for public health impact by potentially reducing the incidence of CVD through comprehensive screening and proactive intervention.