The referenced study used more than a million PCI procedure datapoints collected in the CathPCI Registry to build a 10 factor bleeding risk model. The NCDR data used was quality validated and audited.
Rate/leave feedback if this is useful to you!
Based on the research published in the following paper:
Sunil V. Rao, Lisa A. McCoy, John A. Spertus, Ronald J. Krone, Mandeep Singh, Susan Fitzgerald, Eric D. Peterson, An Updated Bleeding Model to Predict the Risk of Post-Procedure Bleeding Among Patients Undergoing Percutaneous Coronary Intervention: A Report Using an Expanded Bleeding Definition From the National Cardiovascular Data Registry CathPCI Registry, JACC: Cardiovascular Interventions, Volume 6, Issue 9, September 2013, Pages 897-904, ISSN 1936-8798, http://dx.doi.org/10.1016/j.jcin.2013.04.016.
Recognizing that complete documentation is essential in today’s healthcare environment, this calculator app provides users with key data, including the relevant AUC indication number, the AUC score, a summary of the patient’s case and a link to a printer-friendly reporting sheet that can be added to the patient’s chart.
Download the app today and join the interventional and invasive cardiology community in tackling continuous quality improvement (CQI) in the cardiac cath lab.
The SCAI Quality Improvement Toolkit was originally developed with support from Daiichi Sankyo, Inc. and Lilly USA, LLC. This program is also supported by AstraZeneca. The Society gratefully acknowledges this support, while taking sole responsibility for all content developed and disseminated through this effort.