Can aortic valve calcium score predict a need for permanent pacemaker implantation after transcatheter aortic valve

Thomas Barbe1, Charles Fauvel1, Thibaut Hemery1

  • 1Department of Cardiology, Inserm U1096, Univ Rouen Normandie, CHU Rouen, Rouen, France.

Open Heart
|January 12, 2025
PubMed

Insights

High aortic valve calcium score (AVCS) can help identify patients needing a permanent pacemaker (PPM) after transcatheter aortic valve implantation (TAVI). This finding aids in predicting PPM risk, especially in patients without pre-existing right bundle branch block.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Cardiac Imaging

Background:

  • Conductive disturbances requiring permanent pacemaker (PPM) implantation are a significant concern following transcatheter aortic valve implantation (TAVI).
  • Predicting the need for PPM post-TAVI is crucial for patient management and outcomes.

Purpose of the Study:

  • To evaluate the impact of aortic valve calcium score (AVCS) on the incidence of conductive disturbances requiring PPM after TAVI.
  • To determine if AVCS offers incremental prognostic value beyond established risk factors for PPM.

Main Methods:

  • Retrospective analysis of 761 patients undergoing TAVI with available preprocedural CT scans for AVCS assessment.
  • Primary endpoint: occurrence of conductive disturbances requiring PPM within 30 days post-TAVI.
  • Multivariable logistic regression, ROC curve analysis, and likelihood ratio tests were used to analyze the association between AVCS, other risk factors, and PPM.

Main Results:

  • 125 patients (16%) required PPM at 30 days.
  • Higher AVCS was observed in patients who required PPM (3788 AU vs 3050 AU, p<0.001).
  • Independent predictors for PPM included right bundle branch block (RBBB), first-degree atrioventricular block, self-expanding valve use, and AVCS > 4510 AU.
  • AVCS demonstrated incremental discriminative value for PPM prediction (C-index 0.79).

Conclusions:

  • While RBBB remains the strongest predictor of PPM post-TAVI, elevated AVCS is independently associated with increased PPM risk.
  • High AVCS can aid in identifying patients at higher risk for PPM, particularly those without pre-existing RBBB.
  • An algorithm incorporating RBBB, AVCS, and valve type is proposed for PPM risk stratification.
Abstract