scholarly journals The Aortic Annulus Stabilization Technique Prevents Paravalvular Leaks after Rapid Deployment Aortic Valve Implantation

2021 ◽  
Vol 10 (24) ◽  
pp. 5776
Author(s):  
Elena Caporali ◽  
Roberto Lorusso ◽  
Tiziano Torre ◽  
Francesca Toto ◽  
Alberto Pozzoli ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Aortic Valve Replacement ◽  
Valve Replacement ◽  
Surgical Aortic Valve Replacement ◽  
Aortic Valve Implantation ◽  
Stabilization Technique ◽  
Valve Implantation ◽  
Rapid Deployment

Background: Surgical aortic valve replacement with rapid deployment bioprosthesis guarantees good hemodynamic results but carries the risk of paravalvular leaks. To address this issue, an annulus stabilization technique has been recently developed. Methods: Clinical and hemodynamic parameters from patients treated for aortic valve replacement with the rapid deployment bioprosthesis and a concomitant annulus stabilization technique were prospectively collected and retrospectively analyzed. Echocardiographic data at discharge and at 1-year follow-up were collected and analysed. Results: A total of 57 patients (mean age 74.3 ± 6.1 years) with symptomatic aortic valve stenosis underwent aortic valve replacement with the rapid deployment bioprosthesis and concomitant annulus stabilization technique (mean valve size: 23.8 ± 1.9 mm). Combined procedures accounted for 56.1%. Hospital mortality was 1.8% and a new pacemaker for conduction abnormalities was implanted in 10 patients. The pre-discharge echocardiographic control showed absence of paravalvular leaks of any degree in all patients with mean valve gradient of 9.6 ± 4.0 mmHg. The 1-year echocardiographic control confirmed the good valve hemodynamic (mean gradient of 8.0 ± 2.8 mmHg) and absence of leaks. Conclusion: In this preliminary clinical experience, the annulus stabilization technique prevents postoperative paravalvular leaks after rapid deployment aortic valve implantation, up to 1-year postoperatively. Studies on larger series are of paramount importance to confirm the long-term efficacy of this new surgical technique.

scholarly journals Bias estimation in study design: a meta-epidemiological analysis of transcatheter versus surgical aortic valve replacement

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Saerom Youn ◽  
Shannon Avery Wong ◽  
Caitlin Chrystoja ◽  
George Tomlinson ◽  
Harindra C. Wijeysundera ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Aortic Valve Replacement ◽  
Valve Replacement ◽  
Transcatheter Aortic Valve Implantation ◽  
Treatment Effects ◽  
Surgical Aortic Valve Replacement ◽  
High Quality ◽  
Transcatheter Aortic Valve ◽  
Aortic Valve Implantation ◽  
Valve Implantation

Abstract Background Paucity of RCTs of non-drug technologies lead to widespread dependence on non-randomized studies. Relationship between nonrandomized study design attributes and biased estimates of treatment effects are poorly understood. Our purpose was to estimate the bias associated with specific nonrandomized study attributes among studies comparing transcatheter aortic valve implantation with surgical aortic valve replacement for the treatment of severe aortic stenosis. Results We included 6 RCTs and 87 nonrandomized studies. Surgical risk scores were similar for comparison groups in RCTs, but were higher for patients having transcatheter aortic valve implantation in nonrandomized studies. Nonrandomized studies underestimated the benefit of transcatheter aortic valve implantation compared with RCTs. For example, nonrandomized studies without adjustment estimated a higher risk of postoperative mortality for transcatheter aortic valve implantation compared with surgical aortic valve replacement (OR 1.43 [95% CI 1.26 to 1.62]) than high quality RCTs (OR 0.78 [95% CI 0.54 to 1.11). Nonrandomized studies using propensity score matching (OR 1.13 [95% CI 0.85 to 1.52]) and regression modelling (OR 0.68 [95% CI 0.57 to 0.81]) to adjust results estimated treatment effects closer to high quality RCTs. Nonrandomized studies describing losses to follow-up estimated treatment effects that were significantly closer to high quality RCT than nonrandomized studies that did not. Conclusion Studies with different attributes produce different estimates of treatment effects. Study design attributes related to the completeness of follow-up may explain biased treatment estimates in nonrandomized studies, as in the case of aortic valve replacement where high-risk patients were preferentially selected for the newer (transcatheter) procedure.

scholarly journals Indications and predictors for pacemaker implantation after isolated aortic valve replacement with bioprostheses: the CAREAVR study

2020 ◽  
Vol 31 (3) ◽  
pp. 398-404
Author(s):  
Samuli J Salmi ◽  
Tuomo Nieminen ◽  
Juha Hartikainen ◽  
Fausto Biancari ◽  
Joonas Lehto ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Aortic Valve Replacement ◽  
Valve Replacement ◽  
Atrioventricular Block ◽  
Sick Sinus Syndrome ◽  
Pacemaker Implantation ◽  
Left Ventricular Ejection ◽  
Surgical Aortic Valve Replacement

Abstract OBJECTIVES We sought to study the indications, long-term occurrence, and predictors of permanent pacemaker implantation (PPI) after isolated surgical aortic valve replacement with bioprostheses. METHODS The CAREAVR study included 704 patients (385 females, 54.7%) without a preoperative PPI (mean ± standard deviation age 75 ± 7 years) undergoing isolated surgical aortic valve replacement at 4 Finnish hospitals between 2002 and 2014. Data were extracted from electronic patient records. RESULTS The follow-up was median 4.7 years (range 1 day to 12.3 years). Altogether 56 patients received PPI postoperatively, with the median 507 days from the operation (range 6 days to 10.0 years). The PPI indications were atrioventricular block (31 patients, 55%) and sick sinus syndrome (21 patients, 37.5%). For 4 patients, the PPI indication remained unknown. A competing risks regression analysis (Fine–Gray method), adjusted with age, sex, diabetes, coronary artery disease, preoperative atrial fibrillation (AF), left ventricular ejection fraction, New York Heart Association class, AF at discharge and urgency of operation, was used to assess risk factors for PPI. Only AF at discharge (subdistribution hazard ratio 4.34, 95% confidence interval 2.34–8.03) was a predictor for a PPI. CONCLUSIONS Though atrioventricular block is the major indication for PPI after surgical aortic valve replacement, >30% of PPIs are implanted due to sick sinus syndrome during both short-term follow-up and long-term follow-up. Postoperative AF versus sinus rhythm conveys >4-fold risk of PPI. Clinical trial registration clinicaltrials.gov Identifier: NCT02626871

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