Derivation and external validation of a novel risk score for prediction of 30-day mortality after percutaneous coronary intervention.
Academic Article
Overview
abstract
AIMS: Early mortality after percutaneous coronary intervention (PCI) is relatively rare. Current risk prediction models for this event are outdated. We sought to derive a 30-day mortality risk score after PCI. METHODS AND RESULTS: The score was derived from a pooled database of 21 randomised clinical trials using a logistic regression model incorporating clinical and angiographic variables. The score was validated in a separate unrestricted study population, the Assessment of Dual AntiPlatelet Therapy With Drug Eluting Stents (ADAPT-DES) registry. Of 32,882 eligible patients, 75% had data for all 19 variables used for score derivation. The independent predictors of 30-day mortality were age, presentation with ACS, diabetes mellitus, use of first-generation drug-eluting stents, left main or left anterior descending artery lesion, prior myocardial infarction (MI), and suboptimal flow in the artery before or after PCI. The median [interquartile range] score in the derivation cohort was 5 [3, 6] and overall mortality was 0.49%, ranging from 0.08% to 1.64% with scores of 0-16. The 30-day mortality rate was approximately tenfold higher in patients with a score at or above versus below the median of 5 (0.86% versus 0.08%, p<0.0001). Discrimination in both cohorts was very good (C statistic=0.848 and 0.828, respectively), and calibration was satisfactory. CONCLUSIONS: A novel risk score incorporating eight readily available clinical and angiographic variables had high discrimination for 30-day death after PCI across a wide range of clinical scenarios.
