Risk Analysis Index Outperforms Modified Frailty Index-5 in Predicting Mortality and Discharge Disposition Following Adult Spinal Deformity Surgery: A National Database Analysis
Cameron Sabet1, Bhav Jain2, Bara Hammadeh3, Stefan Prulovic1, Weaam Masoud4
1Georgetown University Medical Center, 2Stanford Medicine, 3Al-Balqa' Applied University, 4King Hussein Cancer Center
Objective:

To compare the predictive performance of the RAI versus the mFI-5 for postoperative outcomes following ASD surgery.

 

Background:

Adult spinal deformity (ASD) surgery is associated with complication rates of 30–70%. Accurate preoperative risk stratification is critical, yet the commonly used modified Frailty Index-5 (mFI-5) may not optimally predict adverse outcomes. The Risk Analysis Index (RAI), a validated frailty measure, may provide superior predictive performance.

 

Design/Methods:

We performed a retrospective cohort analysis of ACS-NSQIP data (2015–2021) including 632 patients undergoing ASD surgery (CPT 22800, 22802, 22804). Frailty was assessed using RAI and mFI-5. Primary outcomes were mortality and non-home discharge, defined a priori as outcomes where RAI achieved AUC >0.7 and significantly outperformed mFI-5. Secondary outcomes included complications, readmissions, reoperations, and extended length of stay. Model discrimination was compared using AUROC analysis with bootstrap validation.

 

Results:

RAI demonstrated superior discrimination for mortality (AUC 0.981 vs mFI-5 0.690, p<0.001) and non-home discharge (0.787 vs 0.622, p<0.001). Non-home discharge rates increased across RAI categories: Robust 18.8%, Normal 63.5%, Frail 66.7%, Very Frail 100% (p<0.001). For secondary outcomes, RAI showed modest improvements over mFI-5 for extended length of stay (0.629 vs 0.571) and major complications (0.593 vs 0.550). Bootstrap validation confirmed model stability.

 

Conclusions:

The RAI significantly outperformed mFI-5 in predicting mortality and discharge disposition following ASD surgery. These findings support the integration of RAI into preoperative assessment to optimize surgical decision-making, counseling, and resource allocation in this high-risk population.

10.1212/WNL.0000000000212851
Disclaimer: Abstracts were not reviewed by Neurology® and do not reflect the views of Neurology® editors or staff.