Announcing a new article publication for Cardiovascular Innovations and Applications journal. Risk prediction models are an essential part of assessing operative mortality and postoperative complication rates in current cardiac surgery practices.
Furthermore, they guide clinical decision-making and perioperative patient management. In recent years, various clinical prediction models have been developed in China and other countries to assess the risk of mortality and complications after heart surgery. The currently most widespread and mature models are the new version of the European Cardiac Surgery Evaluation System (EuroSCORE II), the American Society of Thoracic Surgeons Cardiac Surgery Risk Model (STS-Score), and the Chinese Coronary Artery Bypass Graft Surgery Risk Evaluation System (SinoSCORE).
This article explores the application of these three risk prediction models to determine the optimal model for guiding clinical practice.
Luo, H., et al. (2024) Risk prediction models for adverse events in cardiac surgery: An overview. Cardiovascular Innovations and Applications. doi.org/10.15212/CVIA.2023.0083.