Stefan T Prvulovic, Joanna M Roy, Akshay Warrier, Pemla Jagtiani, Joe Hirsch, Michael M Covell, Christian A Bowers
{"title":"Frailty Predicts Failure to Rescue following Malignant Brain Tumor Resection: A NSQIP Analysis of 14,721 Patients (2012- 2020).","authors":"Stefan T Prvulovic, Joanna M Roy, Akshay Warrier, Pemla Jagtiani, Joe Hirsch, Michael M Covell, Christian A Bowers","doi":"10.1016/j.wneu.2025.123671","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Failure to rescue (FTR) is defined as mortality within 30 days following a major complication. While FTR has been studied in various brain tumor resections, its predictors in malignant brain tumor resection (mBTR) remain unexplored. This study aims to identify FTR predictors in mBTR resection patients using a frailty-driven model.</p><p><strong>Methods: </strong>Patients undergoing craniotomy for mBTR were identified from the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database (2012- 2020), with frailty measured by the Risk Analysis Index (RAI).</p><p><strong>Results: </strong>Of 14,721 mBTR patients, 1,275 (8.66%) developed major postoperative complications, and 166 (13.01%) experienced FTR. The cohort's median age was 59, interquartile range (47-68). Multivariate analysis revealed non-elective surgery (OR: 1.48, 95% CI: 1.02-2.16, p<.05) as an independent risk factor for FTR. Frailty was a significant independent predictor of FTR with mBTR, with both frail (N=110) and very frail (N=22) patients having a 5.34-fold and 8.10-fold higher odds of FTR, respectively (p<.001). Expectedly, major postoperative complications were predictive of FTR, including unplanned intubation (OR: 2.56, CI: 1.66-3.95, p<.001), prolonged ventilation (OR: 2.00, CI: 1.37-3.14, p<.01), cardiac arrest (OR: 16.64, CI: 8.20-33.74, p<.001), and septic shock (OR: 2.08, CI: 1.10-3.91, p<.05). The RAI-driven frailty model demonstrated excellent discriminatory accuracy for predicting FTR patients undergoing mBTR (c-statistic: 0.82, 95% CI: 0.79-0.85).</p><p><strong>Conclusion: </strong>Preoperative RAI-measured frailty, alongside non-elective surgery and major postoperative complications were significant predictors of FTR in mBTR patients. Identifying mBTR patients at risk for FTR using frailty strata may aid in preoperative neurosurgical risk stratification to optimize patients prior to surgery.</p>","PeriodicalId":23906,"journal":{"name":"World neurosurgery","volume":" ","pages":"123671"},"PeriodicalIF":1.9000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World neurosurgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.wneu.2025.123671","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Frailty Predicts Failure to Rescue following Malignant Brain Tumor Resection: A NSQIP Analysis of 14,721 Patients (2012- 2020).
Purpose: Failure to rescue (FTR) is defined as mortality within 30 days following a major complication. While FTR has been studied in various brain tumor resections, its predictors in malignant brain tumor resection (mBTR) remain unexplored. This study aims to identify FTR predictors in mBTR resection patients using a frailty-driven model.
Methods: Patients undergoing craniotomy for mBTR were identified from the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database (2012- 2020), with frailty measured by the Risk Analysis Index (RAI).
Results: Of 14,721 mBTR patients, 1,275 (8.66%) developed major postoperative complications, and 166 (13.01%) experienced FTR. The cohort's median age was 59, interquartile range (47-68). Multivariate analysis revealed non-elective surgery (OR: 1.48, 95% CI: 1.02-2.16, p<.05) as an independent risk factor for FTR. Frailty was a significant independent predictor of FTR with mBTR, with both frail (N=110) and very frail (N=22) patients having a 5.34-fold and 8.10-fold higher odds of FTR, respectively (p<.001). Expectedly, major postoperative complications were predictive of FTR, including unplanned intubation (OR: 2.56, CI: 1.66-3.95, p<.001), prolonged ventilation (OR: 2.00, CI: 1.37-3.14, p<.01), cardiac arrest (OR: 16.64, CI: 8.20-33.74, p<.001), and septic shock (OR: 2.08, CI: 1.10-3.91, p<.05). The RAI-driven frailty model demonstrated excellent discriminatory accuracy for predicting FTR patients undergoing mBTR (c-statistic: 0.82, 95% CI: 0.79-0.85).
Conclusion: Preoperative RAI-measured frailty, alongside non-elective surgery and major postoperative complications were significant predictors of FTR in mBTR patients. Identifying mBTR patients at risk for FTR using frailty strata may aid in preoperative neurosurgical risk stratification to optimize patients prior to surgery.
期刊介绍:
World Neurosurgery has an open access mirror journal World Neurosurgery: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
The journal''s mission is to:
-To provide a first-class international forum and a 2-way conduit for dialogue that is relevant to neurosurgeons and providers who care for neurosurgery patients. The categories of the exchanged information include clinical and basic science, as well as global information that provide social, political, educational, economic, cultural or societal insights and knowledge that are of significance and relevance to worldwide neurosurgery patient care.
-To act as a primary intellectual catalyst for the stimulation of creativity, the creation of new knowledge, and the enhancement of quality neurosurgical care worldwide.
-To provide a forum for communication that enriches the lives of all neurosurgeons and their colleagues; and, in so doing, enriches the lives of their patients.
Topics to be addressed in World Neurosurgery include: EDUCATION, ECONOMICS, RESEARCH, POLITICS, HISTORY, CULTURE, CLINICAL SCIENCE, LABORATORY SCIENCE, TECHNOLOGY, OPERATIVE TECHNIQUES, CLINICAL IMAGES, VIDEOS