Aortic valve and vascular calcium score in pre-TAVI CT: correlation with early post-procedural complications

Sabrina Maria Milo1,2, Patrizia Toia1, Federico Midiri1

  • 1Department of Biomedicine, Neurosciences and Advanced Diagnostics-BIND, University of Palermo, Via del Vespro 127, 90100, Palermo, Italy.

La Radiologia Medica
|February 14, 2023
PubMed

Insights

Calcium Score (CS) from computed tomography (CT) can predict early complications after Transcatheter Aortic Valve Implantation (TAVI). Higher CS in the aortic valve and ilio-femoral arteries correlated with increased paravalvular leak and vascular issues.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Medical Imaging

Background:

  • Transcatheter Aortic Valve Implantation (TAVI) is a common procedure for aortic stenosis.
  • Predicting early complications after TAVI is crucial for patient outcomes.
  • Pre-procedural imaging plays a key role in TAVI planning.

Purpose of the Study:

  • To assess the prevalence of early complications following TAVI.
  • To investigate the correlation between Calcium Score (CS) and these complications.
  • To evaluate the predictive value of CS from computed tomography (CT) for post-TAVI adverse events.

Main Methods:

  • Retrospective review of 226 patients undergoing pre-TAVI CT scans.
  • Patients categorized into Calcium Score (CS) quartiles.
  • Analysis of early post-TAVI complications including paravalvular leak, bleeding, vascular complications, atrioventricular block, and acute kidney injury.

Main Results:

  • Paravalvular leak occurred in 61% of patients post-TAVI.
  • Bleeding or vascular complications occurred in 28%, atrioventricular block in 25%, and acute kidney injury in 8%.
  • Higher CS in the aortic valve and ilio-femoral arteries was associated with increased paravalvular leak and vascular complications.

Conclusions:

  • Aortic valve and vascular Calcium Score (CS) can aid in predicting early post-TAVI complications.
  • Pre-procedural CT-derived CS may guide risk stratification and procedural planning.
  • Further research can refine the use of CS in TAVI outcomes prediction.
Abstract

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