CT-Derived Metabolic Parameters as Predictors of Post-Operative Atrial Fibrillation Following Minimally Invasive Mitral Valve Surgery: The MiniMitral AF Study

Scientific Background and Rationale Post-operative atrial fibrillation (POAF) affects up to 30% of patients following cardiac surgery and significantly impacts outcomes. While traditional risk factors are well-documented, the role of underlying metabolic dysfunction in arrhythmogenesis remains poorly understood. Recent evidence suggests that tissue-specific metabolic alterations, particularly in adipose tissue distribution and quality, may provide crucial insights into arrhythmic risk. CT-derived tissue quality parameters (measured in Hounsfield Units) have been validated as markers of metabolic status, with studies demonstrating associations between adipose tissue density and inflammatory states. This study aims to investigate whether these metabolic markers can predict POAF risk in the specific context of mitral valve surgery, potentially informing risk stratification and preventive strategies.

Primary Objective To determine whether CT-derived tissue quality parameters (adipose tissue density, muscle density) independently predict post-operative atrial fibrillation risk following minimally invasive mitral valve surgery.

Study Design

Observational Model: Retrospective Cohort Setting: Single-center study at Complex Cardiovascular Center, Hospital AGEL Trinec-Podlesi Time Frame: January 2014 - November 2023 Follow-up: Through August 1, 2024

Primary Outcome Measure Post-operative Atrial Fibrillation [Time Frame: Up to 30 days post-surgery]