Derivation and Validation of Risk Prediction Model for 30-Day Readmissions Following Transcatheter Mitral Valve Repair.
Transcatheter mitral valve repair (TMVr) has shown to reduce heart failure (HF) rehospitalization and all cause mortality. However, the 30-day all-cause readmission remains high (∼15%) after TMVr. Therefore, we sought to develop and validate a 30-day readmission risk calculator for TMVr. Nationwide Readmission Database from January 2014 to December 2017 was utilized. A linear calculator was developed to determine the probability for 30-day readmission. Internal calibration with bootstrapped calculations was conducted to assess model accuracy. The root mean square error and mean absolute error were calculated to determine model performance. Of 8339 patients who underwent TMVr, 1246 (14.2%) were readmitted within 30 days. The final 30-day readmission risk prediction tool included the following variables: Heart failure, Atrial Fibrillation, Anemia, length of stay ≥4 days, Acute kidney injury (AKI), and Non-Home discharge, Non-Elective admission and Bleeding/Transfusion. The c-statistic of the prediction model was 0.63. The validation c-statistic for readmission risk tool was 0.628. On internal calibration, our tool was extremely accurate in predicting readmissions up to 20%. A simple and easy to use risk prediction tool identifies TMVr patients at increased risk of 30-day readmissions. The tool can guide in optimal discharge planning and reduce resource utilization.
Current problems in cardiology
Ahuja, K. R., Nazir, S., Ariss, R., Bansal, P., Garg, R., Ahuja, S., Minhas, A., Harb, S., Krishnaswamy, A., Unai, S., & Kapadia, S. (2021). Derivation and Validation of Risk Prediction Model for 30-Day Readmissions Following Transcatheter Mitral Valve Repair.. Current problems in cardiology, 101033-101033. https://doi.org/DOI: 10.1016/j.cpcardiol.2021.101033