Derivation and Validation of Risk Prediction Model for 30-Day Readmissions Following Transcatheter Mitral Valve Repair

医学 计算器 心房颤动 心力衰竭 统计的 急诊医学 风险评估 内科学 心脏病学 统计 计算机科学 数学 计算机安全 操作系统
作者
Keerat Rai Ahuja,Salik Nazir,Robert W. Ariss,Parikshit Bansal,Rajat Garg,Satish Kumar Ahuja,Abdul Mannan Khan Minhas,Serge C. Harb,Amar Krishnaswamy,Shinya Unai,Samir Kapadia
出处
期刊:Current Problems in Cardiology [Elsevier]
卷期号:48 (3): 101033-101033 被引量:2
标识
DOI:10.1016/j.cpcardiol.2021.101033
摘要

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.
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