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Aortic Valve Replacement: Understanding Predictors for the Optimal Ministernotomy Approach

Introduction. The most common minimally invasive approach for aortic valve replacement (AVR) is the partial upper mini-sternotomy. The aim of this study is to understand which preoperative computed tomography (CT) features are predictive of longer operations in terms of cardio-pulmonary bypass times...

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Autores principales: Irace, Francesco Giosuè, Chirichilli, Ilaria, Russo, Marco, Ranocchi, Federico, Bergonzini, Marcello, Lio, Antonio, Nicolò, Francesca, Musumeci, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647482/
https://www.ncbi.nlm.nih.gov/pubmed/37959183
http://dx.doi.org/10.3390/jcm12216717
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author Irace, Francesco Giosuè
Chirichilli, Ilaria
Russo, Marco
Ranocchi, Federico
Bergonzini, Marcello
Lio, Antonio
Nicolò, Francesca
Musumeci, Francesco
author_facet Irace, Francesco Giosuè
Chirichilli, Ilaria
Russo, Marco
Ranocchi, Federico
Bergonzini, Marcello
Lio, Antonio
Nicolò, Francesca
Musumeci, Francesco
author_sort Irace, Francesco Giosuè
collection PubMed
description Introduction. The most common minimally invasive approach for aortic valve replacement (AVR) is the partial upper mini-sternotomy. The aim of this study is to understand which preoperative computed tomography (CT) features are predictive of longer operations in terms of cardio-pulmonary bypass timesand cross-clamp times. Methods. From 2011 to 2022, we retrospectively selected 246 patients which underwent isolated AVR and had a preoperative ECG-gated CT scan. On these patients, we analysed the baseline anthropometric characteristics and the following CT scan parameters: aortic annular dimensions, valve calcium score, ascending aorta length, ascending aorta inclination and aorta–sternum distance. Results. We identified augmented body surface area (>1.9 m(2)), augmented annular diameter (>23 mm), high calcium score (>2500 Agatson score) and increased aorta–sternum distance (>30 mm) as independent predictors of elongated operation times (more than two-fold). Conclusions. Identifying the preoperative predictive factors of longer operations can help surgeons select cases suitable for minimally invasive approaches, especially in a teaching context.
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spelling pubmed-106474822023-10-24 Aortic Valve Replacement: Understanding Predictors for the Optimal Ministernotomy Approach Irace, Francesco Giosuè Chirichilli, Ilaria Russo, Marco Ranocchi, Federico Bergonzini, Marcello Lio, Antonio Nicolò, Francesca Musumeci, Francesco J Clin Med Article Introduction. The most common minimally invasive approach for aortic valve replacement (AVR) is the partial upper mini-sternotomy. The aim of this study is to understand which preoperative computed tomography (CT) features are predictive of longer operations in terms of cardio-pulmonary bypass timesand cross-clamp times. Methods. From 2011 to 2022, we retrospectively selected 246 patients which underwent isolated AVR and had a preoperative ECG-gated CT scan. On these patients, we analysed the baseline anthropometric characteristics and the following CT scan parameters: aortic annular dimensions, valve calcium score, ascending aorta length, ascending aorta inclination and aorta–sternum distance. Results. We identified augmented body surface area (>1.9 m(2)), augmented annular diameter (>23 mm), high calcium score (>2500 Agatson score) and increased aorta–sternum distance (>30 mm) as independent predictors of elongated operation times (more than two-fold). Conclusions. Identifying the preoperative predictive factors of longer operations can help surgeons select cases suitable for minimally invasive approaches, especially in a teaching context. MDPI 2023-10-24 /pmc/articles/PMC10647482/ /pubmed/37959183 http://dx.doi.org/10.3390/jcm12216717 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Irace, Francesco Giosuè
Chirichilli, Ilaria
Russo, Marco
Ranocchi, Federico
Bergonzini, Marcello
Lio, Antonio
Nicolò, Francesca
Musumeci, Francesco
Aortic Valve Replacement: Understanding Predictors for the Optimal Ministernotomy Approach
title Aortic Valve Replacement: Understanding Predictors for the Optimal Ministernotomy Approach
title_full Aortic Valve Replacement: Understanding Predictors for the Optimal Ministernotomy Approach
title_fullStr Aortic Valve Replacement: Understanding Predictors for the Optimal Ministernotomy Approach
title_full_unstemmed Aortic Valve Replacement: Understanding Predictors for the Optimal Ministernotomy Approach
title_short Aortic Valve Replacement: Understanding Predictors for the Optimal Ministernotomy Approach
title_sort aortic valve replacement: understanding predictors for the optimal ministernotomy approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647482/
https://www.ncbi.nlm.nih.gov/pubmed/37959183
http://dx.doi.org/10.3390/jcm12216717
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