Prognostic significance of severe mitral annular calcification in aortic stenosis: implications for aortic valve

Valeria Pergola1, Dan-Alexandru Cozac1,2, Maria Teresa Savo1

  • 1Cardiology Unit, Cardio-thoracic-vascular, and Public Health Department, Padova University Hospital, Padova 35128, Italy.

Abstract

Insights

Severe mitral annulus calcification (MAC) independently predicts worse cardiovascular outcomes in patients undergoing aortic valve replacement (AVR). This finding suggests MAC is a crucial prognostic factor impacting patient care after AVR.

Area of Science:

  • Cardiology
  • Cardiac Imaging
  • Valvular Heart Disease

Background:

  • Mitral annulus calcification (MAC) is increasingly recognized beyond its association with aging.
  • Emerging evidence links MAC to calcific aortic stenosis (AS), but its prognostic significance in AS patients undergoing aortic valve replacement (AVR) requires further investigation.

Purpose of the Study:

  • To evaluate the impact of cardiac CT-derived MAC on cardiovascular outcomes in patients with severe AS undergoing AVR.
  • To determine if MAC severity is an independent predictor of adverse events post-AVR.

Main Methods:

  • Utilized pre-procedural contrast-enhanced cardiac CT (CCT) to quantify MAC severity using the Guerrero CCT-derived MAC score.
  • Assessed major adverse cardiovascular events (MACE), including cardiovascular mortality, arrhythmias, stroke, and heart failure hospitalizations, over 60 months post-AVR.
  • Employed multivariate Cox models to identify independent predictors of MACE and mortality.

Main Results:

  • Included 313 patients with severe AS undergoing AVR; 65.4% had MAC (12.1% severe MAC).
  • Severe MAC, moderate-to-severe mitral regurgitation, and STS score > 2.5% were independent predictors of MACE (p < 0.05).
  • Severe MAC and STS score > 2.5% independently predicted all-cause mortality (p < 0.05).

Conclusions:

  • Severe MAC is an independent predictor of adverse cardiovascular outcomes in patients undergoing AVR.
  • Integrating MAC assessment into clinical evaluation may significantly alter patient management strategies.
  • MAC severity provides valuable prognostic information in the context of AS and AVR.

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