Journal of Clinical Medicine (Oct 2023)

Aortic Valve Replacement: Understanding Predictors for the Optimal Ministernotomy Approach

  • Francesco Giosuè Irace,
  • Ilaria Chirichilli,
  • Marco Russo,
  • Federico Ranocchi,
  • Marcello Bergonzini,
  • Antonio Lio,
  • Francesca Nicolò,
  • Francesco Musumeci

DOI
https://doi.org/10.3390/jcm12216717
Journal volume & issue
Vol. 12, no. 21
p. 6717

Abstract

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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 m2), 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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