Impact of device landing zone calcification patterns on paravalvular regurgitation after transcatheter aortic valve replacement with different next-generation devices.

OBJECTIVE: Residual paravalvular regurgitation (PVR) has been associated to adverse outcomes after transcatheter aortic valve replacement (TAVR). This study sought to evaluate the impact of device landing zone (DLZ) calcification on residual PVR after TAVR with different next-generation transcatheter heart valves. METHODS: 642 patients underwent TAVR with a SAPIEN 3 (S3; n=292), ACURATE neo (NEO; n=166), Evolut R (ER; n=132) or Lotus (n=52). Extent, location and asymmetry of DLZ calcification were assessed from contrast-enhanced CT imaging and correlated to PVR at discharge. RESULTS: PVR was ≥moderate in 0.7% of S3 patients, 9.6% of NEO patients, 9.8% of ER patients and 0% of Lotus patients (p<0.001), and these differences remained after matching for total DLZ calcium volume. The amount of DLZ calcium was significantly related to the degree of PVR in patients treated with S3 (p=0.045), NEO (p=0.004) and ER (p<0.001), but not in Lotus patients (p=0.698). The incidence of PVR ≥moderate increased significantly over the tertiles of DLZ calcium volume (p=0.046). On multivariable analysis, calcification of the aortic valve cusps, LVOT calcification and the use of self-expanding transcatheter aortic valve implantation (TAVI) prostheses emerged as predictors of PVR. CONCLUSIONS: The susceptibility to PVR depending on the amount of calcium was mainly observed in self-expanding TAVI prostheses. Thus, DLZ calcification is an important factor to be considered in prosthesis selection for each individual patient, keeping in mind the trade-off between PVR reduction, risk of new pacemaker implantation and unfavourable valve ha emodynamics.

Combinatorial Synthesis of Binary Nanoparticles in Ionic Liquids by Cosputtering and Mixing of Elemental Nanoparticles.

Binary alloy nanoparticles were fabricated by two combinatorial methods: (I) cosputtering from elemental targets into the ionic liquid 1-butyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide [Bmim][(Tf)2N] and (II) by mixing elemental nanoparticles after sputtering them separately into [Bmim][(Tf)2N]. Both methods lead to the formation of Au-Cu nanoparticles (2.3 nm for cosputtered, 3.6 nm for mixed), however with different resulting compositions: cosputtered nanoparticles show a composition range of Au80-90Cu20-10; mixing of Au- and Cu-loaded ionic liquids leads to the formation of Au75Cu25 nanoparticles. Annealing the binary nanoparticles at 100 °C shows that the mixed nanoparticles grow to sizes of 4.1 nm, whereas the cosputtered nanoparticles grow only to 3 nm.

Predictors of paravalvular regurgitation and permanent pacemaker implantation after TAVR with a next-generation self-expanding device.

AIMS: To identify predictors of paravalvular regurgitation (PVR) and permanent pacemaker implantation (PPI) following TAVR with a next-generation self-expanding device. METHODS AND RESULTS: Device landing zone (DLZ) calcification, angiographic implantation depth, and baseline and procedural characteristics were analyzed in 212 patients being treated with the ACURATE neo aortic bioprosthesis. PVR was none/trace in 57.1% and ≥ mild in 42.9% (37% mild, 6% moderate). DLZ calcification (705 (IQR 240-624) vs. 382 (IQR 240-624) mm3; P < 0.001) as well as absolute calcium asymmetry (233 ± 159 vs. 151 ± 151 mm3; P < 0.001) was significantly higher in patients with PVR ≥ mild. On multivariate analysis, calcification of the aortic valve cusps (AVC) > 410.6 mm3 was independently associated with PVR ≥ mild. PPI rate was 10.3% (n = 20). Patients with and without need for PPI had similar total DLZ calcium volume (740 (IQR 378-920) vs. 536 (IQR 315-822) mm3; P = 0.263), but exhibited different calcium distribution patterns: LVOT calcium > 41.4 mm3 in the sector below the left coronary cusp (LVOTLC) was associated with increased PPI risk (26.9 vs. 7.7%; P = 0.008). CONCLUSIONS: The quantity of AVC calcium predicts residual PVR. Multivariable analysis identified LVOTLC calcium, pre-existing RBBB, and age > 82.7 years as independent predictors of PPI. Based on these risk factors, a patient's individual PPI risk can be stratified ranging from 3.8 to 100%.