Research Fellow Department of Neurosurgery, Emory University Alexandria, Egypt
Introduction: The aim of this study is to evaluate the relationship between baseline frailty status, measured by Risk Analysis Index (RAI) and modified frailty index-5 (mFI-5), in predicting unplanned readmission and reoperation using data from a large national registry.
Methods: Data for malignant brain tumor resections were abstracted from the National Surgical Quality Improvement Program (NSQIP) database from 2012 to 2020 (n=31,776). Reasons for unplanned readmission and reoperation were ascertained. Univariate and multivariable were performed to identify associates between baseline frailty and unplanned readmission and reoperation. Receiver operating characteristic (ROC) curve analysis was used to evaluate discriminative performance.
Results: The overall rates of unplanned readmission and reoperation were 10.1% and 3.0%, respectively. Increasing baseline frailty (measured by RAI and mFI-5) were associated with increasing risk of unplanned readmission and reoperation.
Conclusion : Increasing frailty is a robust predictor for unplanned readmission and reoperation in patients undergoing after malignant brain tumor resection. Identification of high-risk patients using the right predictive variables may be clinically used for preoperative risk stratification of those patients.
