Genetic information improves the prediction of major adverse cardiovascular events in the GENEMACOR population

The inclusion of a genetic risk score (GRS) can modify the prediction coronary artery disease (CAD), providing an advantage over use traditional models. predictive value information on recurrence major adverse cardiovascular events (MACE) remains controversial. A total 33 variants previously associated with CAD were genotyped in 1587 patients from GENEMACOR study. Of these, 18 presented hazard ratio >1, so they selected to construct weighted GRS (wGRS). MACE discrimination and reclassi?cation evaluated by C-Statistic, Net Reclassification Index Integrated Discrimination Improvement methodologies. After addition wGRS predictors, C-index increased 0.566 0.572 (p=0.0003). Subsequently, adding plus clinical factors, this model slightly improved 0.620 0.622 but statistical significance (p=0.004). NRI showed that 17.9% cohort was better reclassified when primary wGRS. Kaplan-Meier estimator that, at 15-year follow-up, group higher number alleles had significantly occurrence (p=0.011). In patients, prediction, reclassification conventional cost-effective therapeutic strategies.