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Current Cardiology Reports

Contemporary Risk Models for In-Hospital and 30-Day Mortality After Percutaneous Coronary Intervention

  • 09-04-2024
  • Ischemic Heart Disease (D Mukherjee, Section Editor)
Published in:
Authors
Christine Chow
Jacob Doll
Published in
Current Cardiology Reports | Issue 5/2024

Abstract

Purpose of Review

Risk models for mortality after percutaneous coronary intervention (PCI) are underutilized in clinical practice though they may be useful during informed consent, risk mitigation planning, and risk adjustment of hospital and operator outcomes. This review analyzed contemporary risk models for in-hospital and 30-day mortality after PCI.

Recent Findings

We reviewed eight contemporary risk models. Age, sex, hemodynamic status, acute coronary syndrome type, heart failure, and kidney disease were consistently found to be independent risk factors for mortality. These models provided good discrimination (C-statistic 0.85–0.95) for both pre-catheterization and comprehensive risk models that included anatomic variables.

Summary

There are several excellent models for PCI mortality risk prediction. Choice of the model will depend on the use case and population, though the CathPCI model should be the default for in-hospital mortality risk prediction in the United States. Future interventions should focus on the integration of risk prediction into clinical care.
Title
Contemporary Risk Models for In-Hospital and 30-Day Mortality After Percutaneous Coronary Intervention
Authors
Christine Chow
Jacob Doll
Publication date
09-04-2024
Publisher
Springer US
Published in
Current Cardiology Reports / Issue 5/2024
Print ISSN: 1523-3782
Electronic ISSN: 1534-3170
DOI
https://doi.org/10.1007/s11886-024-02047-0
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This content is intended for healthcare professionals outside of the UK.

Independent Medical Education Grant:
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Learn more Link opens in a new window
Image Credits
Abstract graphic of layered, concentric circular shapes in bright green, pink, blue, and purple on a dark blue background. The rings and segments form a complex radial pattern without text/© Springer Health+ IME