Modified percutaneous coronary intervention-derived risk models (PARIS and CREDO-Kyoto integer scoring systems)

Masanobu Ohya1, Shun Kohsaka2, Hiraku Kumamaru3

  • 1Department of Cardiovascular Medicine, Kurashiki Central Hospital, Kurashiki, Okayama, Japan mo13590@kchnet.or.jp.

Open Heart
|January 19, 2023
PubMed

Insights

Existing risk models for transcatheter aortic valve replacement (TAVR) show limited accuracy for predicting post-procedural ischaemic and bleeding events. Recalibration improved model performance for TAVR risk stratification.

Area of Science:

  • Cardiovascular Medicine
  • Interventional Cardiology
  • Health Outcomes Research

Background:

  • Transcatheter aortic valve replacement (TAVR) is associated with significant post-procedural ischaemic and bleeding risks.
  • Current risk stratification models are insufficient for predicting these dual outcomes in TAVR patients.

Purpose of the Study:

  • To evaluate the accuracy of percutaneous coronary intervention (PCI)-derived risk models for TAVR.
  • To develop and assess a recalibrated model incorporating TAVR-specific variables for improved risk prediction.

Main Methods:

  • Analysis of a national registry including 26,869 patients undergoing TAVR.
  • Assessment of established PCI risk scores (PARIS, CREDO-Kyoto) for ischaemic and bleeding events at 1 year.
  • Recalibration of models using TAVR-applicable variables and the Fine and Gray method.

Main Results:

  • 1-year cumulative incidences for ischaemic and bleeding events were 2.7% and 3.1%, respectively.
  • High-risk scores on PCI-derived models correlated with increased ischaemic and bleeding events (p<0.001).
  • Recalibrated models showed modest improvement in predicting ischaemic (AUC 0.58) and bleeding (AUC 0.61) events.

Conclusions:

  • PCI-derived risk models demonstrate inadequate accuracy for TAVR patient risk stratification at 1 year.
  • Recalibration of models with TAVR-specific factors offers a modest improvement in predicting dual ischaemic and bleeding risks.
Abstract

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