Aortic annulus angulation does not attenuate procedural success of transcatheter aortic valve replacement using a novel self-expanding bioprosthesis.

The objectives of the study were to evaluate the impact of aortic angulation (AA) on success of transcatheter aortic valve replacement (TAVR) with a new generation self-expandable prosthesis (Medtronic Evolut R®). Specific anatomical conditions, such as for example the presence of a horizontal aorta with elevated AA, have seemed to pose a significant challenge for the correct positioning and consequent functioning of self-expandable TAVR prostheses. We assessed 146 patients treated with Evolut R. AA was measured at computed tomography and two groups were identified using as cutoff the mean AA value. Acute outcomes were collected and compared. AA mean value was 49.6 ± 9.4° (AA ≥ 50°: 76 and AA < 50°: 70 patients). Risk profile (Logistic euroSCORE: AA ≥ 50°: 15.7; 75% IQR: 11.1-22.1 vs. AA < 50°: 14.7; 75% IQR: 10.7-24.0; p = 0.8) was equivalent. Perioperative results were similar: valve resheathing (AA ≥ 50°: 21.0% vs. AA < 50°: 24.2%; p = 0.6), recapturing (AA ≥ 50°: 19.7% vs. AA < 50°: 25.7%; p = 0.3), fluoroscopy time (AA ≥ 50°: 11.1 IQR: 8.6-17.0 min. vs. AA < 50°: 11.0 IQR: 8.0-15.7 min.; p = 0.9), and contrast agent use (AA ≥ 50°: 99.0 ± 41.8 ml. vs. AA < 50°: 104.2 ± 38.5 ml.; p = 0.4). At discharge, moderate paravalvular leak was present in 8/76 (10.5%) of the AA ≥ 50° and 6/70 (8.6%) of the AA < 50° (p = 0.7) patients. Severe paravalvular leak, implantation of a second valve, and/or conversion to surgery did not occur. Early safety (AA ≥ 50°: 7.8% vs. AA < 50°: 5.7%; p = 0.6) was similar in the two groups. AA did not affect procedural outcomes and valve performance of the Evolut R prosthesis.

Transcriptome analysis in patients with progressive coronary artery disease: identification of differential gene expression in peripheral blood.

Inflammation as a systemic process plays a central role in atherosclerotic plaque progression (PP). Here we investigated other systemic correlates of PP by global gene expression profiling (GEP) in peripheral blood. From a database of 45,727 coronary angiograms, we identified two patient groups with good risk factor control, but different clinical evolution: First, 16 patients had significant PP leading to repeated coronary interventions, and second, 16 patients had angiographically documented stable courses. GEP revealed 93 differentially expressed genes, of which 23 have unknown function. Among the remaining 70 genes, 10 were associated with progenitor and pluripotent cells, but only three genes with atherosclerosis. We developed a risk prediction gene signature by a multivariable statistical model integrating comprehensive laboratory and clinical patient data. This signature identified PP with high sensitivity and specificity for new patients, as estimated by resampling techniques. GEP results were validated by qPCR for ANK2 and GSTT1.