Effect of Preoperative Left Ventricular Mass on Outcomes After Aortic Valve Replacement for Aortic Regurgitation

Kohei Hachiro1, Noriyuki Takashima1, Kenichi Kamiya1

  • 1Division of Cardiovascular Surgery, Department of Surgery, Shiga University of Medical Science.

Insights

A left ventricular mass index (LVMI) above 200 g/m² predicts a higher risk of major adverse cardiac and cerebrovascular events (MACCE) after aortic valve replacement for aortic regurgitation.

Area of Science:

  • Cardiology
  • Cardiac Surgery
  • Cardiovascular Imaging

Background:

  • Aortic regurgitation (AR) necessitates aortic valve replacement (AVR).
  • Left ventricular mass index (LVMI) is a key indicator of cardiac remodeling.
  • The prognostic value of LVMI in AVR for AR requires further elucidation.

Purpose of the Study:

  • To establish the optimal LVMI cut-off value for predicting major adverse cardiac and cerebrovascular events (MACCE) in patients undergoing AVR for AR.
  • To assess the impact of preoperative left ventricular remodeling on long-term postoperative outcomes.

Main Methods:

  • Retrospective analysis of 263 patients who underwent surgical AVR for AR.
  • Receiver operating characteristic (ROC) curve analysis to determine the LVMI cut-off value.
  • Inverse probability of treatment weighting (IPTW) to adjust for preoperative characteristics.

Main Results:

  • The optimal preoperative LVMI cut-off value for MACCE prediction was identified as 200 g/m² (AUC=0.692).
  • Patients with LVMI >200 g/m² (n=92) exhibited a significantly higher 10-year MACCE rate (25.6%) compared to those with LVMI ≤200 g/m² (n=171, 13.5%; P=0.020).
  • Preoperative LVMI >200 g/m² was independently associated with increased MACCE risk (HR 2.356; P=0.006).

Conclusions:

  • Preoperative LVMI exceeding 200 g/m² is a significant predictor of MACCE in patients undergoing AVR for AR.
  • Elevated LVMI indicates substantial left ventricular remodeling, associated with poorer long-term prognosis post-AVR.
  • LVMI measurement should be integrated into risk stratification for patients with AR undergoing AVR.
Abstract

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