Background and Aims
Preoperative risk stratification is crucial for surgical decision-making and patient counseling. While the Modified 5-Item Frailty Index (mFI-5) is widely used, the Nutritional Risk Index (NRI) has emerged as a promising alternative due to its dynamic and continuous nature. However, their comparative effectiveness remains unclear.
Objective
To compare the predictive performance of the NRI versus the mFI-5 for predicting postoperative complications, readmissions, and mortality in a large, multi-institutional surgical cohort.
Methods
We analyzed 9,782,974 patients from the American College of Surgeons National Surgical Quality Improvement Program database. Three predictive models using NRI (dichotomous, spline, and adjusted) and two using mFI-5 (unadjusted and adjusted) were developed for six outcomes: overall complications, surgical complications, medical complications, readmission, unplanned reoperation, and mortality. Model discrimination was assessed using the area under the receiver operating characteristic curve (AUC), and calibration was evaluated using bootstrap-validated calibration plots.
Results
The overall complication rate was 14.7 % (n = 1,442,984). Both adjusted NRI and mFI-5 models showed excellent discrimination for mortality (AUC = 92.6 for both) and medical complications (AUC = 83.7 and 83.5, respectively). The NRI also demonstrated comparable or superior performance for surgical complications (AUC = 75.8 vs 75.4), readmission (AUC = 69.8 vs 71.3), and unplanned reoperation (AUC = 65.2 vs 65.0). Mortality discrimination was 92.6 for both models. Notably, NRI values were significantly lower in patients who experienced complications compared to those who did not (96.0 vs 103, p < 0.0001).
Conclusions
The NRI demonstrates comparable, and in some cases, superior, predictive performance to mFI-5 across surgical outcomes. As a dynamic and continuous measure, NRI may offer advantages over mFI-5 for preoperative risk stratification. These findings support the integration of NRI into surgical risk assessment protocols.
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