Comment on “A High Frailty Burden Is a Strong Predictor of Adverse Postoperative Outcomes in Geriatric Lumbar Spine Surgery: A Retrospective Cohort Study”
We read with great interest the recent article by Cho et al, which investigated the impact of frailty on the prognosis of elderly patients undergoing lumbar spine surgery. 1 The authors are to be commended for introducing the 5-factor Modified Frailty Index (mFI-5) into risk stratification and for employing Inverse Probability of Treatment Weighting (IPTW) to mitigate selection bias. Their finding that severe frailty (mFI-5 ≥ 3) is independently associated with hospitalization complications (OR 1.792, 95% CI 1.243–2.585, P = 0.002) adds valuable evidence to the growing body of literature concerning geriatric spine care. However, while the study successfully establishes a statistical association, we believe a deeper discussion is warranted regarding the distinction between population-level risk markers and individual-level predictive tools, the robustness of the causal inference, and the holistic interpretation of surgical benefit. We commend Cho et al for introducing frailty assessment into the risk stratification of elderly patients undergoing lumbar spine surgery, and their IPTW-adjusted analysis demonstrated that mFI-5 ≥ 3 was independently associated with hospitalization complications (OR 1.792,95% CI 1.243–2.585, P = 0.002). However, a clear distinction must be made between statistical association and individual-level predictive power. This OR value supports mFI-5 as an important risk biomarker but does not alone establish its ability to accurately predict complication occurrence in specific patients. Furthermore, the study did not report discrimination power, calibration, sensitivity, specificity, internal validity, or the incremental predictive value of mFI-5 relative to established metrics such as ASA-PS