Validation of machine learning-based risk stratification scores for patients with acute coronary syndrome treated with percutaneous coronary intervention
This study in ACS patients treated with PCI provides suggestive evidence that the GRACE 3.0 score effectively predicts in-hospital mortality beyond the GRACE 2.0 score. The PRAISE score demonstrated limited potential for predicting one-year mortality risk. Further external validation studies in larger cohorts including patients without PCI are warranted.
Authors
- Amand F. Schmidt (ORCID: https://orcid.org/0000-0003-1327-0424)
- Jasper L. Selder (ORCID: https://orcid.org/0000-0002-0777-491X)
- Steven A. J. Chamuleau (ORCID: https://orcid.org/0000-0002-9952-6701)
- Berto J. Bouma (ORCID: https://orcid.org/0000-0002-1433-9692)
- Folkert W. Asselbergs (ORCID: https://orcid.org/0000-0002-1692-8669)
- Mitchel Molenaar
- Mark J. Schuuring (ORCID: https://orcid.org/0000-0002-2843-1852)
- Niels Verouden (ORCID: https://orcid.org/0000-0002-8480-0392)
- Brigitte van Dalfsen
- J. van den Nieuwendijk
Institutions
- Heidelberg University (DE)
- Medisch Spectrum Twente (NL)
- University Hospital Heidelberg (DE)
- University Medical Center Utrecht (NL)
- British Heart Foundation (GB)
- Health Data Research UK (GB)
- Amsterdam University Medical Centers (NL)
- University College London (GB)
- University of Amsterdam (NL)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2024-09-26
- DOI
- https://doi.org/10.1093/ehjdh/ztae071
- Citations
- 6
- Primary Topic
- Acute Myocardial Infarction Research
- Type
- article
- Field-Weighted Citation Impact
- 2.41