The application of the new 2016 ASE/EACVI recommendations resulted in a much lower prevalence of DD. The concordance between the classifications was poor. The updated algorithm seems to be able to diagnose only the most advanced cases.

Background The first step in evaluating a patient with suspected stable coronary artery disease (CAD) is the determination of the pretest probability. The European Society of Cardiology guidelines recommend the use of the CAD Consortium 1 score (CAD1), which contrary to CAD Consortium 2 (CAD2) score and Duke Clinical Score (DCS), does not include modifiable cardiovascular risk factors. Hypothesis Using scores that include modifiable risk factors (DCS and CAD2) enhances prediction of CAD. Methods We retrospectively included all patients referred to invasive coronary angiography for suspected CAD from January/2008–December/2012 (N = 2234). Pretest probability was calculated using 3 models (CAD1, DCS, and CAD2), and they were compared using the net reclassification improvement. Results Mean patient age was 63.7 years, 67.5% were male, and the majority (66.9%) had typical angina. Coronary artery disease was diagnosed in 58.5%, and the area under the curve was 0.685 for DCS, 0.664 for CAD1, and 0.683 for CAD2, with a statistically significant difference between CAD1 and the others (P < 0.001). The net reclassification improvement was 20% for DCS, related to adequate reclassification of 32% of patients with CAD to a higher risk category, and 5% for CAD2, at the cost of adequate reclassification of 34% of patients without CAD to a lower risk category. Conclusions Prediction of CAD using scores that include modifiable cardiovascular risk factors seems to improve accuracy. Our results suggest that, in high‐prevalence populations, DCS may better identify patients at higher risk and CAD2 those at lower risk for CAD.

Vascular access site complications are frequent in patients undergoing TF TAVI. SIFAR was the only independent predictor of access site complications and therefore should be systematically assessed during pre-procedural imaging study.

AV calcium volume was an independent predictor of PVR and BPD in patients submitted to TAVI. Our results support a systematic assessment of AV calcium volume to identify patients at increased risk of post-procedural PVR.

Self-expanding prosthesis have greater eccentricity and under-expansion. Calcium burden exerts more influence in the final morphology of that type of valve. Calcification and eccentricity are associated with the development of PVR. These factors should be considered in the selection of the most appropriate type of prosthesis for each scenario.