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Clinical utility of a predictive model for paravalvular aortic regurgitation after transcatheter aortic valve implantation with a self-expandable prosthesis

BACKGROUND: A predictive model for Paravalvular aortic regurgitation (PAR) integrating the left ventricular outflow tract-to-ascending aorta angle (LVOT-AO) and depth to the non-coronary cusp (NCC) after TAVI with CoreValve prosthesis (MCP) was retrospectively identified (2 × ∠LVOT-AO + [depth to NC...

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Autores principales: Mostafa, Ahmad E., Richardt, Gert, Abdel-Wahab, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Egyptian Society of Cardiology 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5883495/
https://www.ncbi.nlm.nih.gov/pubmed/29622986
http://dx.doi.org/10.1016/j.ehj.2017.06.004
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author Mostafa, Ahmad E.
Richardt, Gert
Abdel-Wahab, Mohamed
author_facet Mostafa, Ahmad E.
Richardt, Gert
Abdel-Wahab, Mohamed
author_sort Mostafa, Ahmad E.
collection PubMed
description BACKGROUND: A predictive model for Paravalvular aortic regurgitation (PAR) integrating the left ventricular outflow tract-to-ascending aorta angle (LVOT-AO) and depth to the non-coronary cusp (NCC) after TAVI with CoreValve prosthesis (MCP) was retrospectively identified (2 × ∠LVOT-AO + [depth to NCC-10]2; cutoff = 50). However, the validity and clinical utility of this model remain unknown. METHODS: A total of 100 patients (79.6 ± 7 years, mean EuroScore 24.9 ± 16.3%, 41 males) constituted a validation cohort for the predictive model. Both angle (LVOT-AO) and depth to NCC were considered during patient selection and device implantation. RESULTS: Significant AR occurred in 16% (group A) vs. 84% (group B). Angle ∠LVOT-AO and depth to NCC were larger in group A compared to group B (16.4 ± 7.2 vs. 11.8 ± 4.1, p < 0.001, and 9.1 ± 4.8 mm vs. 6.6 ± 2.7 mm, p = 0.004). The model showed a sensitivity of 68.7% and a specificity of 88.1% in prediction of PAR. Comparing the derivation cohort (initial experience, n = 50) and validation cohort (later experience, n = 100) it is showed that the ∠LVOT-AO, valve depth and PAR were significantly lower (12.5 ± 4.9 and 6.9 ± 3.2 mm vs. 19.7 ± 7.9 and 10.4 ± 3.7 mm, 40% vs. 16% respectively, all p < 0.001) in the validation cohort. CONCLUSION: The predictive model for significant PAR after TAVI using MCP is valid with a reassuring specificity and an acceptable sensitivity. A strategy incorporating these anatomical and procedural variables improves PAR after TAVI.
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spelling pubmed-58834952018-04-05 Clinical utility of a predictive model for paravalvular aortic regurgitation after transcatheter aortic valve implantation with a self-expandable prosthesis Mostafa, Ahmad E. Richardt, Gert Abdel-Wahab, Mohamed Egypt Heart J Transcatheter Aortic Valve Implantation BACKGROUND: A predictive model for Paravalvular aortic regurgitation (PAR) integrating the left ventricular outflow tract-to-ascending aorta angle (LVOT-AO) and depth to the non-coronary cusp (NCC) after TAVI with CoreValve prosthesis (MCP) was retrospectively identified (2 × ∠LVOT-AO + [depth to NCC-10]2; cutoff = 50). However, the validity and clinical utility of this model remain unknown. METHODS: A total of 100 patients (79.6 ± 7 years, mean EuroScore 24.9 ± 16.3%, 41 males) constituted a validation cohort for the predictive model. Both angle (LVOT-AO) and depth to NCC were considered during patient selection and device implantation. RESULTS: Significant AR occurred in 16% (group A) vs. 84% (group B). Angle ∠LVOT-AO and depth to NCC were larger in group A compared to group B (16.4 ± 7.2 vs. 11.8 ± 4.1, p < 0.001, and 9.1 ± 4.8 mm vs. 6.6 ± 2.7 mm, p = 0.004). The model showed a sensitivity of 68.7% and a specificity of 88.1% in prediction of PAR. Comparing the derivation cohort (initial experience, n = 50) and validation cohort (later experience, n = 100) it is showed that the ∠LVOT-AO, valve depth and PAR were significantly lower (12.5 ± 4.9 and 6.9 ± 3.2 mm vs. 19.7 ± 7.9 and 10.4 ± 3.7 mm, 40% vs. 16% respectively, all p < 0.001) in the validation cohort. CONCLUSION: The predictive model for significant PAR after TAVI using MCP is valid with a reassuring specificity and an acceptable sensitivity. A strategy incorporating these anatomical and procedural variables improves PAR after TAVI. Egyptian Society of Cardiology 2017-12 2017-07-20 /pmc/articles/PMC5883495/ /pubmed/29622986 http://dx.doi.org/10.1016/j.ehj.2017.06.004 Text en © 2017 Egyptian Society of Cardiology. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Transcatheter Aortic Valve Implantation
Mostafa, Ahmad E.
Richardt, Gert
Abdel-Wahab, Mohamed
Clinical utility of a predictive model for paravalvular aortic regurgitation after transcatheter aortic valve implantation with a self-expandable prosthesis
title Clinical utility of a predictive model for paravalvular aortic regurgitation after transcatheter aortic valve implantation with a self-expandable prosthesis
title_full Clinical utility of a predictive model for paravalvular aortic regurgitation after transcatheter aortic valve implantation with a self-expandable prosthesis
title_fullStr Clinical utility of a predictive model for paravalvular aortic regurgitation after transcatheter aortic valve implantation with a self-expandable prosthesis
title_full_unstemmed Clinical utility of a predictive model for paravalvular aortic regurgitation after transcatheter aortic valve implantation with a self-expandable prosthesis
title_short Clinical utility of a predictive model for paravalvular aortic regurgitation after transcatheter aortic valve implantation with a self-expandable prosthesis
title_sort clinical utility of a predictive model for paravalvular aortic regurgitation after transcatheter aortic valve implantation with a self-expandable prosthesis
topic Transcatheter Aortic Valve Implantation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5883495/
https://www.ncbi.nlm.nih.gov/pubmed/29622986
http://dx.doi.org/10.1016/j.ehj.2017.06.004
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