Risk Analysis Index Outperforms Modified Frailty Index-Five for Predicting Adverse Outcomes Following Anterior Lumbar Interbody Fusion in a National Cohort of 2,806 Patients With Active Smoking Status
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 modified Frailty Index-5 (mFI-5) and the Risk Analysis Index (RAI) for postoperative outcomes in active smokers undergoing ALIF. 
Background:
Anterior lumbar interbody fusion (ALIF) accounts for a substantial proportion of spinal fusions in the United States. Frailty assessment may improve risk stratification, particularly in vulnerable populations such as active smokers, but comparative performance of different indices is uncertain. 
Design/Methods:
We analyzed ACS-NSQIP data (2015–2021) for patients aged ≥50 years who underwent elective ALIF and were active smokers. Frailty was assessed with mFI-5 and RAI. Multivariable logistic regression evaluated associations with outcomes. Model discrimination was assessed with AUROC and compared using the DeLong test, with bootstrap validation. 
Results:
Among 2,806 patients, 50.3% were frail by mFI-5 and 22.9% by RAI. Non-home discharge occurred in 10.2%. The RAI demonstrated superior discrimination compared to mFI-5 for non-home discharge (AUROC 0.732 vs 0.639, p<0.001), extended length of stay (0.633 vs 0.568, p<0.001), and minor complications (0.698 vs 0.520, p=0.013). Predictive performance was similar for mortality, readmission, and reoperation. 
Conclusions:
RAI outperformed mFI-5 in predicting non-home discharge and select complications following ALIF in active smokers. These findings support the RAI as a more effective tool for preoperative frailty assessment and perioperative planning in this high-risk population. 
10.1212/WNL.0000000000212832
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