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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10647482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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