Clinical Use of CathPCI Registry Risk Score and Its Validation to Predict Long-Term Mortality

Risk models to estimate percutaneous coronary intervention (PCI) mortality have limited value in complex high-risk patients. However, it was improved by a recently developed bedside model to predict in-hospital mortality using data from the American College of Cardiology CathPCI Registry that included 706,263 patients. The median risk-standardized in-hospital mortality rate was 1.9%. In an attempt to validate this model in patients admitted because of acute coronary ischemia to predict in-hospital, 30-day, and 1-year mortality, we applied the proposed risk score to the study population of the Acute Coronary Syndrome Israeli Survey (ACSIS). This study was conducted for 2 months in 2018 and included all patients admitted to 25 coronary care units and cardiology departments in Israel. The ACSIS included 1,155 patients admitted because of acute myocardial infarction and who underwent PCI. In-hospital, 30-day, and 1-year mortality were 2.3%, 3.1%, and 6.2%, respectively. The CathPCI risk score yielded an area under the receiver operating characteristic curve of 0.96 (95% confidence interval [CI] 0.94 to 0.99) for in-hospital mortality; 0.96 (95% CI 0.94 to 0.98) for the 30-day mortality, and 0.88 (95% CI 0.83 to 0.93) for the 1-year mortality. The current model also included frail patients, and those with aortic stenosis, refractory shock, and after cardiac arrest. In conclusion, the CathPCI Registry risk score was validated using data from the ACSIS. Because the ACSIS population comprised patients with acute ischemia including those with high-risk features this model demonstrates a wider scope of application compared with previous ones. In addition, the model seems to be suitable to predict also the 30-day and 1-year mortality.