Multivariable logistic regression was performed using a simultaneous (enter) method, with the occurrence of major cardiovascular events as the dependent variable and gender, age, smoking status, obesity, diabetes, renal disease, diastolic dysfunction (DD), global longitudinal strain (GLS), left atrial (LA) strain, HeartModel 3D ejection fraction (HM), homocysteine, and PON1 as covariates; odds ratios (Exp(B)) with 95% confidence intervals were calculated, and a two-sided p-value < 0.05 was considered statistically significant (Table 4). This evidence concerns the gene PON1 and dentin dysplasia.