A Novel Percutaneous Coronary Intervention Risk Score to Predict One-Year Mortality

Clinical and angiographic risk factors associated with adverse outcomes after percutaneous coronary intervention (PCI) have been included in previous validated risk scores. Complications after PCI are known to increase mortality and morbidity but have not been included in any model. Records of 6,932 consecutive patients who underwent PCI from 2000 to 2005 were reviewed. Patients presenting with cardiogenic shock were excluded. Logistic regression and bootstrap methods were used to build an integer risk score for estimating risk of death at 1 year after PCI using baseline, angiographic, and procedural characteristics and postprocedural complications. This risk score was validated in a set of consecutive patients who underwent PCI from 2006 to 2007. The following 8 variables were significantly correlated with outcome: older age, history of diabetes mellitus, chronic renal failure, heart failure, left main coronary artery disease, lower baseline hematocrit, greater hematocrit decrease after PCI, and Thrombolysis In Myocardial Infarction grade <3 flow after PCI. In the validation population (n = 973), average receiver operating characteristic curve area was 0.836. In conclusion, we developed and validated a simple integer risk score, including postprocedural variables that closely predict long-term mortality after PCI. This model emphasizes the significant impact of complications occurring after PCI on long-term outcomes.