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Which is better for predicting and discriminating cardiovascular events: a traditional risk score, a Calcium score or a Genetic risk score?
Session:
Sessão de Posters 22 - Risco cardiovascular
Speaker:
Francisco Homem de Gouveia e Sousa
Congress:
CPC 2024
Topic:
J. Preventive Cardiology
Theme:
28. Risk Factors and Prevention
Subtheme:
28.14 Risk Factors and Prevention - Other
Session Type:
Cartazes
FP Number:
---
Authors:
Francisco Sousa; M.I. Mendonça; M. Serrão; D. Sá; E. Henriques; S. Freitas; M. Rodrigues; S. Borges; G. Abreu; A. Drumond; A.C. Sousa; R. Palma Dos Reis
Abstract
<p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong>Background: </strong>T<span style="background-color:white">he most effective approach to prevent coronary artery disease (CAD) in the general population remains to quantify the individual </span>risk of CAD followed by controlling risk factors.<span style="background-color:#fafafa"><span style="color:black"> There has been a lot of curiosity to investigate several scores individually for improving risk prediction. However, whether one would be better than the other in the same population is still unclear. </span></span></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="background-color:#fafafa"><span style="color:black">Aim:</span></span></strong><span style="background-color:#fafafa"><span style="color:black"> To evaluate the performance of the three individual scores (European SCORE2, Coronary artery calcium score (CACS) and a Genetic risk score (GRS) in predicting and discriminating cardiovascular (CV) events in an asymptomatic Portuguese population.</span></span></span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong><span style="background-color:#fafafa"><span style="color:black">Methods: </span></span></strong><span style="background-color:#fafafa"><span style="color:black">P</span></span>rospective, observational population-based study, including 1002 asymptomatic subjects (mean age 53.1±6.8 years, 73.8% male) selected from a normal population, without apparent CAD and diabetes at baseline. Data were recorded at the end of an extended follow-up<span style="font-family:"Calibri Light",sans-serif"> (</span>average 6.5±4.9 years). The European SCORE2, a computed tomography coronary artery calcium score (CACs), and a genetic risk score (GRS) were created to evaluate CV events’ predictive and discriminative ability through Receiver Operating Characteristics (ROC) analysis and Harrell’s C-statistics.</span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong>Results:</strong> ROC curve analysis showed 0.723 for SCORE2, 0.815 for CACs and 0.649 for GRS. Harrell’s C-statistics were 0.731 in the SCORE2, 0.785 for CACs and 0.684 for GRS.</span></span></p> <p style="text-align:justify"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><strong>Conclusion:</strong> <span style="background-color:white"><span style="color:black"> The CAC score was the best individual score to predict and discriminate CV events in our asymptomatic population.</span></span> Its capacity to identify high-risk individuals and those asymptomatic with subclinical atherosclerosis may improve CV risk management strategies to prevent future cardiovascular events. This result can be explained because CAC score, more than a risk marker, represents the existence of disease in the vessel wall.</span></span></p>
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