Literature DB >> 26292585

Inverse Relationship Between Membranous Septal Length and the Risk of Atrioventricular Block in Patients Undergoing Transcatheter Aortic Valve Implantation.

Ashraf Hamdan1, Victor Guetta2, Robert Klempfner2, Eli Konen3, Ehud Raanani4, Michael Glikson2, Orly Goitein3, Amit Segev2, Israel Barbash2, Paul Fefer2, Dan Spiegelstein4, Ilan Goldenberg2, Ehud Schwammenthal2.   

Abstract

OBJECTIVES: This study sought to examine whether imaging of the atrioventricular (AV) membranous septum (MS) by computed tomography (CT) can be used to identify patient-specific anatomic risk of high-degree AV block and permanent pacemaker (PPM) implantation before transcatheter aortic valve implantation (TAVI) with self-expandable valves.
BACKGROUND: MS length represents an anatomic surrogate of the distance between the aortic annulus and the bundle of His and may therefore be inversely related to the risk of conduction system abnormalities after TAVI.
METHODS: Seventy-three consecutive patients with severe aortic stenosis underwent contrast-enhanced CT before TAVI. The aortic annulus, aortic valve, and AV junction were assessed, and MS length was measured in the coronal view.
RESULTS: In 13 patients (18%), high-degree AV block developed, and 21 patients (29%) received a PPM. Multivariable logistic regression analysis revealed MS length as the most powerful pre-procedural independent predictor of high-degree AV block (odds ratio [OR]: 1.35, 95% confidence interval [CI]: 1.1 to 1.7, p = 0.01) and PPM implantation (OR: 1.43, 95% CI: 1.1 to 1.8, p = 0.002). When taking into account pre- and post-procedural parameters, the difference between MS length and implantation depth emerged as the most powerful independent predictor of high-degree AV block (OR: 1.4, 95% CI: 1.2 to 1.7, p < 0.001), whereas the difference between MS length and implantation depth and calcification in the basal septum were the most powerful independent predictors of PPM implantation (OR: 1.39, 95% CI: 1.2 to 1.7, p < 0.001 and OR: 4.9, 95% CI: 1.2 to 20.5, p = 0.03; respectively).
CONCLUSIONS: Short MS, insufficient difference between MS length and implantation depth, and the presence of calcification in the basal septum, factors that may all facilitate mechanical compression of the conduction tissue by the implanted valve, predict conduction abnormalities after TAVI with self-expandable valves. CT assessment of membranous septal anatomy provides unique pre-procedural information about the patient-specific propensity for the risk of AV block.
Copyright © 2015 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CT; TAVI; atrioventricular block; implantation depth; membranous septum; permanent pacemaker

Mesh:

Year:  2015        PMID: 26292585     DOI: 10.1016/j.jcin.2015.05.010

Source DB:  PubMed          Journal:  JACC Cardiovasc Interv        ISSN: 1936-8798            Impact factor:   11.195


  27 in total

Review 1.  Role of Cardiac CT Before Transcatheter Aortic Valve Implantation (TAVI).

Authors:  Mohamed Marwan; Stephan Achenbach
Journal:  Curr Cardiol Rep       Date:  2016-02       Impact factor: 2.931

Review 2.  Permanent pacemaker insertion in patients with conduction abnormalities post transcatheter aortic valve replacement: a review and proposed guidelines.

Authors:  Tamunoinemi Bob-Manuel; Amit Nanda; Samuel Latham; Issa Pour-Ghaz; William Paul Skelton; Rami N Khouzam
Journal:  Ann Transl Med       Date:  2018-01

3.  Dependence on permanent pacemakers inserted after transcatheter aortic valve implantation: predictive factors in a ten-year retrospective analysis: Rates and predictors of pacemaker dependence after TAVI.

Authors:  Lance Ng; Rajesh Nair; Faeez Ali; Sanjeevan Pasupati
Journal:  AsiaIntervention       Date:  2021-12

4.  A computational framework for post-TAVR cardiac conduction abnormality (CCA) risk assessment in patient-specific anatomy.

Authors:  Symon Reza; Matteo Bianchi; Brandon Kovarovic; Salwa Anam; Marvin J Slepian; Ashraf Hamdan; Rami Haj-Ali; Danny Bluestein
Journal:  Artif Organs       Date:  2022-02-07       Impact factor: 2.663

5.  Paravalvular leak prediction after transcatheter aortic valve replacement with self-expandable prosthesis based on quantitative aortic calcification analysis.

Authors:  Agata Wiktorowicz; Adrian Wit; Krzysztof Piotr Malinowski; Artur Dziewierz; Lukasz Rzeszutko; Dariusz Dudek; Pawel Kleczynski
Journal:  Quant Imaging Med Surg       Date:  2021-02

Review 6.  Conduction abnormalities after transcatheter aortic valve implantation.

Authors:  Panagiotis Karyofillis; Anna Kostopoulou; Sofia Thomopoulou; Martha Habibi; Efthimios Livanis; George Karavolias; Vassilis Voudris
Journal:  J Geriatr Cardiol       Date:  2018-01       Impact factor: 3.327

7.  Very late occurrence of complete heart block without preexisting atrioventricular conduction abnormalities: A rare complication after transaortic valvular replacement.

Authors:  Nagesh Chopra; Matthew S Tong; Steven J Yakubov
Journal:  HeartRhythm Case Rep       Date:  2017-11-22

8.  Transcatheter aortic valve implantation: General anesthesia using transesophageal echocardiography does not decrease the incidence of paravalvular leaks compared to sedation alone.

Authors:  Cédrick Zaouter; Sara Smaili; Lionel Leroux; Guillaume Bonnet; Sébastien Leuillet; Alexandre Ouattara
Journal:  Ann Card Anaesth       Date:  2018 Jul-Sep

9.  Anatomical characteristics of the membranous septum are predictive of pacemaker requirement in patients undergoing transcatheter aortic valve replacement.

Authors:  Jonathan Na; Bryan Nixon; James Childress; Paul Han; Gregory Norcross; Steven Liskov; Jean Jeudy; Alejandro Jimenez Restrepo
Journal:  J Interv Card Electrophysiol       Date:  2021-08-02       Impact factor: 1.900

10.  Effective Distance between Aortic Valve and Conduction System Is an Independent Predictor of Persistent Left Bundle Branch Block during Transcatheter Aortic Valve Implantation.

Authors:  Thomas T Poels; Robert Stassen; Suzanne Kats; Leo Veenstra; Vincent van Ommen; Bastiaan Kietselaer; Patrick Houthuizen; Jos G Maessen; Frits W Prinzen
Journal:  Medicina (Kaunas)       Date:  2021-05-11       Impact factor: 2.430

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