Depth of valve implantation, conduction disturbances and pacemaker implantation with CoreValve and CoreValve Accutrak system for Transcatheter Aortic Valve Implantation, a multi-center study.

BACKGROUND: Transcatheter Aortic Valve Implantation (TAVI) is now considered an indispensable treatment strategy in high operative risk patients with severe, symptomatic aortic stenosis. However, conduction disturbances and the need for Permanent Pacemaker (PPM) implantation after TAVI with the CoreValve prosthesis still remain frequent. METHODS AND RESULTS: We aimed to evaluate the implantation depth, the incidence and predictors of new conduction disturbances, and the need for PPM implantation within the first month after TAVI, using the new Accutrak CoreValve delivery system (ACV), compared to the previous generation CoreValve (non-ACV). In 5 experienced TAVI-centers, a total of 120 consecutive non-ACV and 112 consecutive ACV patients were included (n=232). The mean depth of valve implantation (DVI) was 8.4+/-4.0mm in the non-ACV group and 7.1+/-4.0mm in the ACV group (p=0.034). The combined incidence of new PPM implantation and new LBBB was 71.2% in the non-ACV group compared to 50.5% in the ACV group (p=0.014). DVI (p=0.002), first degree AV block (p=0.018) and RBBB (p<0.001) were independent predictors of PPM implantation. DVI (p<0.001) and pre-existing first degree AV-block (p=0.021) were identified as significant predictors of new LBBB. CONCLUSION: DVI is an independent predictor of TAVI-related conduction disturbances and can be reduced by using the newer CoreValve Accutrak delivery system, resulting in a significantly lower incidence of new LBBB and new PPM implantation

Tumour necrosis factor-alpha serum level is an independent predictor of medium-term all-cause mortality after transcatheter aortic valve replacement

Transcatheter aortic valve implantation (TAVI) is a suitable treatment for patients with severe aortic stenosis and severely increased operative risk. There is need for a better preoperative risk assessment for TAVI candidates. To determine whether Tumour necrosis factor-alfa (TNFα) is an independent predictor of survival 500 days after TAVI. Sixty patients undergoing TAVI were enrolled in the study. TNFα was determined. The CT measured low-density muscle fraction (LDM%) of the psoas muscle was determined. Operative risk assessment by Logistic EuroSCORE, EuroSCORE II, and STS score was performed. Frailty scores (FRAIL scale and Barthel index) were determined. Mean age was 81.01 ± 7.54 years. Twenty-six (43.3%) of the patients were males. In the univariable analyses, FRAIL scale and Barthel index were no predictors of survival after TAVI. In the multivariable analysis, including EuroSCORE II, LDM% and TNFα serum concentration, TNFα serum level was an independent predictor of survival 500 days after TAVI (HR: 3.167; 95%: 1.279–7.842; p = 0.013). The multivariable analysis, including TNFα as a categorical variable, showed that compared to patients in the conjugated first and second TNFα serum level tertile, patients in the third tertile had a hazard ratio (HR) of 10.606 (95%CI: 1.203 − 93.467) (p = 0.033). TNFα is an incremental independent predictor of long-term survival after TAVI.</p

Patient-specific computer modeling to predict aortic regurgitation after transcatheter aortic valve replacement

Objectives Using multislice computed tomography (MSCT), we sought to evaluate the geometry and apposition of the CoreValve ReValving System (CRS, Medtronic, Luxembourgh, Luxembourgh) in patients with aortic stenosis. Background There are no data on the durability of percutaneous aortic valve replacement. Geometric factors may affect durability. Methods Thirty patients had MSCT at a median 1.5 months (interquartile range [IQR] 0 to 7 months) after percutaneous aortic valve replacement. Axial dimensions and apposition of the CRS were evaluated at 4 levels: 1) the ventricular end; 2) the nadir; 3) central coaptation of the CRS leaflets; and 4) commissures. Orthogonal smallest and largest diameters and cross-sectional surface area were measured at each level. Results The CRS (26-mm: n 14, 29-mm: n 16) was implanted at 8.5 mm (IQR 5.2 to 11.0 mm) below the noncoronary sinus. None of the CRS frames reached nominal dimensions. The difference between measured and nominal cross- sectional surface area at the ventricular end was 1.6 cm 2 (IQR 0.9 to 2.6 cm 2 ) and 0.5 cm 2 (IQR 0.2 to 0.7 cm 2 )at central coaptation. At the level of central coaptation the CRS was undersized relative to the native annulus by 24% (IQR 15% to 29%). The difference between the orthogonal smallest and largest diameters (degree of deformation) at the ventricular end was 4.4 mm (IQR 3.3 to 6.4 mm) and it decreased progressively toward the outflow. Incomplete apposition of the CRS frame was present in 62% of patients at the ventricular end and was ubiquitous at the central coaptation and higher. Conclusions Dual-source MSCT demonstrated incomplete and nonuniform expansion of the CRS frame, but the functionally important mid-segment was well expanded and almost symmetrical. Undersizing and incomplete apposition were seen in the majority of patients. (J Am Coll Cardiol 2009;54:911–8) © 2009 by the American College of Cardiology Foundatio

Patient-Specific Computer Simulation in TAVR With the Self-Expanding Evolut R Valve

OBJECTIVES The aim of this study was to assess the added value and predictive power of the TAVIguide (Added Value of Patient-Specific Computer Simulation in Transcatheter Aortic Valve Implantation) software in clinical practice. BACKGROUND Optimal outcome after transcatheter aortic valve replacement (TAVR) may become more important as TAVR shifts toward low-risk patients. Patient-specific computer simulation is able to provide prediction of outcome after TAVR. Its clinical role and validation of accuracy, however, have not yet been studied prospectively. METHODS A prospective, observational, multicenter study was conducted among 80 patients with severe aortic stenosis treated with the Evolut R valve. Simulation was performed in 42 patients and no simulation in 38. A comparison between the valve size (decision 1) and target depth of implantation selected by the operator on the basis of multislice computed tomography and the valve size (decision 2) and target depth of implantation selected after simulation were the primary endpoints. Predictive power was examined by comparing the simulated and observed degree of aortic regurgitation. RESULTS Decision 2 differed from decision 1 in 1 of 42 patients because of predicted paravalvular leakage, and changes in valve type occurred in 2 of 42. In 39 of 42 patients, decisions 1 and 2 were similar. Target depth of implantation differed in 7 of 42 patients after simulation (lower in 4 and higher in 3). In 16 of 42 patients, simulation affected the TAVR procedure; in 9, the operator avoided additional measures to achieve the target depth of implantation, and in 7 patients, additional measures were performed. There was a trend toward a higher degree of predicted than observed aortic regurgitation (17.5 vs. 12 ml/s; p = 0.13). CONCLUSIONS Patient-specific computer simulation did not affect valve size selection but did affect the selection of the target depth of implantation and the execution of TAVR to achieve the desired target depth of implantation. (c) 2020 by the American College of Cardiology Foundation