Irace FG, Chirichilli I, Russo M, Ranocchi F, Bergonzini M, Lio A, Nicolò F, Musumeci F. Aortic Valve Replacement: Understanding Predictors for the Optimal Ministernotomy Approach.
J Clin Med 2023;
12:6717. [PMID:
37959183 PMCID:
PMC10647482 DOI:
10.3390/jcm12216717]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/10/2023] [Accepted: 10/19/2023] [Indexed: 11/15/2023] Open
Abstract
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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