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Updated: Jun 23, 2026

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Longitudinal Intravital Imaging of Brain Tumor Cell Behavior in Response to an Invasive Surgical Biopsy
Published on: May 3, 2019
Failure to Rescue After Brain Tumor Resection: A National Surgical Quality Improvement Program Analysis (2012-2020)
Joanna M Roy1,2, Stefan T Prvulovic2,3, Akshay Warrier2,4
1Department of Neurological Surgery, Thomas Jefferson University Hospital, Philadelphia , Pennsylvania , USA.
Neurosurgery
|April 23, 2025
Summary
Failure to rescue (FTR) is a significant risk for brain tumor resection (BTR) patients. Frailty and specific postoperative complications like cardiac arrest independently predict FTR, highlighting the need for preoperative risk assessment.
Area of Science:
- Neurosurgery
- Surgical Outcomes
- Patient Safety
Background:
- Failure to rescue (FTR) is defined as mortality within 30 days post-major complication.
- Existing studies report varied FTR rates, influenced by patient factors and complication incidence.
- The impact of frailty on FTR after brain tumor resection (BTR) remains underexplored.
Purpose of the Study:
- To identify patient characteristics and postoperative complications predicting FTR in BTR patients.
- To assess the association between frailty and FTR in the BTR cohort.
- To develop a predictive model for FTR in BTR.
Main Methods:
- Utilized the American College of Surgeons-National Surgical Quality Improvement Program database (2012-2020).
- Included patients who underwent BTR identified by craniotomy codes.
- Measured frailty using the Risk Analysis Index.
Main Results:
- Analyzed 31,667 BTR patients; 7.71% experienced major complications, and 15.8% faced FTR.
- Multivariate analysis identified transfer status and nonelective surgery as independent FTR predictors.
- Frail and severely frail patients had significantly higher odds of FTR (OR 4.03 and 7.90, respectively).
- Cardiac arrest (OR 12.75), unplanned reintubation (OR 2.46), and septic shock (OR 2.02) predicted FTR.
- The predictive model showed excellent discriminatory accuracy (c-statistic: 0.81).
Conclusions:
- Preoperative frailty and specific postoperative complications (e.g., cardiac arrest) predict FTR in BTR patients.
- Identifying frail patients preoperatively can guide interventions to optimize surgical readiness.
- This knowledge can improve patient selection and perioperative management for BTR.

