The significant role of coronary artery calcification score in asymptomatic patients with metabolic syndrome

Abstract Background Metabolic syndrome (MetS) is a clinical condition composed of metabolic and cardiovascular risk factors, such as abdominal obesity, hyperglycemia, dyslipidemia hypertension. Many patients with MetS suffer major adverse events (MACE) that are not adequately identified by traditional assessment, suggesting the need for early detection subclinical coronary heart disease to identify those at high-risk. Coronary artery calcification (CAC) screening has added utility in categorizing low, intermediate high risk. Purpose Evaluate prognostic role CAC score asymptomatic population prediction. Methods A total 1,122 individuals without known disease, enrolled from GENEMACOR study, were followed mean 5.3±3.4 years primary endpoint all-cause events. All referred computed tomography scoring assessment. According Hoff's nomogram, 3 categories created: low (0≤CAC<100 or P<50); moderate (100≤CAC<400 P50–75) severe (CAC≥400 P>75). In subgroup 507 615 controls, values compared T-student association severity occurrence was evaluated. Finally, logistic regression model adjusted performed MetS. Results Among our population, extent differs significantly between men women same age group. Patients Mets (23.2%, n=115) had higher scores than controls (219.0±486.0 vs 115.8±370.8, p<0.0001). this cohort, scores, 46.7% 22.5% MACEs (p=0.049) during follow-up. The analysis revealed CAC≥400 MACE predictor (OR=4.326, CI 95% 1.241–15.080, p=0.021) Conclusion Our results point importance inclusion further stratify that, despite tight control may benefit more intensive therapies. This tool useful straightforward method could have significant impact on prognosis future FUNDunding Acknowledgement Type funding sources: None.