Public Use Data

Estimated Regression Coefficients and Covariance Matrix

“A Prediction Model to Identify Patients at High Risk for 30-Day Readmission After Percutaneous Coronary Intervention” by Jason H. Wasfy, MD, et. Al. published in Circulation: Cardiovascular Quality and Outcomes, 2013; volume 06, pages 429-435. The Excel file available for download below contains four tabs for the estimated regression coefficients, corresponding standard errors, 95% confidence intervals, and covariance matrices for the pre-PCI and discharge model set of predictors used in the paper. The estimates provided are based on the full cohort and will differ from those reported in the published paper.

Download the Wasfy’s paper model coefficients and covariance matrix

The data tabs included:

  • Pre-PCI Estimates
  • Pre-PCI Covariance Matrix
  • Discharge Model Estimates
  • Discharge Model Covariance Matrix

The variables used in the paper were developed using mostly American College of Cardiology National Cardiovascular Data Registry (ACC-NCDR) CathPCI version 3 data collection instrument variable definitions. The Insurance categories were defined using the Massachusetts Center for Health Information and Analysis Acute Hospital Case Mix Databases (CHIA-AHCMD) for inpatient discharges. The ACC-NCDR data collection form and definitions are avaible at, . The CHIA-AHCMD data definitions are available at

Risk Calculators:

Click here to view the Risk Calculators based on published models.