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Evaluating preoperative frailty is critical for guiding shared surgical decision-making. The purpose of this study was to develop a novel preoperative frailty index for classification of adverse outcomes following cranial neurosurgery procedures.

The American College of Surgeons National Surgical Quality Improvement Program database was queried for all cranial neurosurgery cases from 2006 to 2014. Sequential univariate and multivariate testing was used to identify significant independent predictors of 30-day mortality. Frailty scores were computed by summating across weighted predictors. Receiver operating characteristic curve analysis quantified the discriminative capacity of the frailty score for classifying mortality and other major adverse outcomes.

List-wise exclusion of patients with incomplete datasets yielded a final sample of 27,098 patients (mortality rate = 3.9%). Multivariate …