Objective: The present study aimed to evaluate the effect of baseline frailty status [as measured by modified frailty index-5 (mFI-5)] versus age on postoperative outcomes of patients undergoing surgery for spinal tumors using data from a large national registry. Methods:The National Surgical Quality Improvement Program (NSQIP) database was used to collect spinal tumor resection patients' data from 2015 to 2019 (n = 4662). Univariate and multivariate analyses for age and mFI-5 were performed for the following outcomes: 30-day mortality, major complications, unplanned reoperation, unplanned readmission, hospital length of stay (LOS), and discharge to a non-home destination. Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminative performance of age versus mFI-5. Results:Both univariate and multivariate analyses demonstrated that mFI-5 was a more robust predictor of worse postoperative outcomes as compared to age. Furthermore, based on categorical analysis of frailty tiers, increasing frailty was significantly associated with increased risk of adverse outcomes. 'Severely frail' patients were found to have the highest risk, with OR 16.4 (95% CI,11.21-35.44) for 30-day mortality, 3.02 (95% CI, 1.97-4.56) for major complications, and 2.94 (95% CI, 2.32-4.21) for LOS. In ROC curve analysis, mFI-5 score (AUC 0.743) achieved superior discrimination compared to age (AUC 0.594) for mortality. Conclusion:Increasing frailty, as measured by mFI-5, is a more robust predictor as compared to age, for poor postoperative outcomes in spinal tumor surgery patients. The mFI-5 may be clinically used for preoperative risk stratification of spinal tumor patients.

Objective: To assess the discriminative ability of the Risk Analysis Index-administrative (RAI-A) and its recalibrated version (RAI-Rev), compared to the 5-factor modified frailty index (mFI-5), in predicting postoperative outcomes in patients undergoing surgical intervention for traumatic spine injuries (TSIs).Methods: The Current Procedural Terminology (CPT) and International Classification of Disease-9 (ICD-9) and ICD-10 codes were used to identify patients ≥ 18 years who underwent surgical intervention for TSI from National Surgical Quality Improvement Program (ACS-NSQIP) database 2015–2019 (n = 6,571). Multivariate analysis and receiver operating characteristic (ROC) curve analysis were conducted to evaluate the comparative discriminative ability of RAI-Rev, RAI-A, and mFI-5 for 30-day postoperative outcomes.Results: Multivariate regression analysis showed that with all 3 frailty scores, increasing frailty tiers resulted in worse postoperative outcomes, and patients identified as frail and severely frail using RAI-Rev and RAI-A had the highest odds of poor outcomes. In the ROC curve/C-statistics analysis for prediction of 30-day mortality and morbidity, both RAI-Rev and RAI-A outperformed mFI-5, and for many outcomes, RAI-Rev showed better discriminative performance compared to RAI-A, including mortality (p = 0.0043, DeLong test), extended length of stay (p = 0.0042), readmission (p < 0.0001), reoperation (p = 0.0175), and nonhome discharge (p < 0.0001).Conclusion: Both RAI-Rev and RAI-A performed better than mFI-5, and RAI-Rev was superior to RAI-A in predicting postoperative mortality and morbidity in TSI patients. RAI-based frailty indices can be used in preoperative risk assessment of spinal trauma patients.

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OBJECTIVE Frailty’s role in preoperative risk assessment in spine surgery has increased in association with the increasing size of the aging population. However, previous frailty assessment tools have significant limitations. The aim of this study was to compare the predictive ability of the Risk Analysis Index (RAI) with the 5-factor modified frailty index (mFI-5) for postoperative spine surgery morbidity and mortality. METHODS Data were collected from the American College of Surgeons National Surgical Quality Improvement Program database for adults > 18 years who underwent spine surgery between 2015 and 2019. Multivariate modeling and receiver operating characteristic curve analysis, including area under the curve/C-statistic calculations, were performed to evaluate the comparative discriminative ability of RAI and mFI-5 on postoperative outcomes. RESULTS In a cohort of 292,225 spine surgery patients, multivariate modeling showed that increasing RAI scores, and not increasing mFI-5 scores, were independent predictors of increased postoperative mortality for the trauma, tumor, and infection subcohorts. In the overall spine cohort, both increasing RAI and increasing mFI-5 scores were associated with increased mortality, but C-statistics indicated that the RAI (C-statistic 0.802 [95% CI 0.800–0.803], p < 0.0001, DeLong test) had superior discrimination compared with the mFI-5 (C-statistic 0.677 [95% CI 0.675–0.679], p < 0.0001, DeLong test). In subgroup analyses, the RAI had superior discriminative ability to mFI-5 for mortality in the trauma and infection groups (p < 0.001 and p = 0.039, respectively). CONCLUSIONS The RAI demonstrates superior discrimination to the mFI-5 for predicting postoperative mortality and morbidity after spine surgery and the RAI maintains conceptual fidelity to the frailty phenotype. Patients with high RAI scores may benefit from knowing the possibility of increased surgical risk with potential spine surgery.

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