• Joanna M Roy, Christian A Bowers, Kavelin Rumalla, Michael M Covell, Syed Faraz Kazim, and Meic H Schmidt.
• Topiwala National Medical College, Mumbai, India; Bowers Neurosurgical Frailty and Outcomes Data Science Lab, Albuquerque, New Mexico, USA. Electronic address: joanna.roy21@yahoo.in.
• World Neurosurg. 2023 Oct 1; 178: 117122117-122.

AbstractQuantification of preoperative frailty is an important prognostic tool in neurosurgical decision making. Metastatic spine tumor patients undergoing surgery are frail and have unfavorable outcomes that include an increased length of stay, unfavorable discharge disposition, and increased readmission rates. These undesirable outcomes result in higher treatment costs. A heterogeneous mixture of various frailty indexes is available with marked variance in their validation, leading to disparate clinical utility. The lack of a universally accepted definition for frailty, let alone in the method of creation or elements required in the formation of a frailty index, has resulted in a body of frailty literature lacking precision for predicting neurosurgical outcomes. In this review, we examine the role of reported frailty indexes in predicting postoperative outcomes after resection of metastatic spine tumors and aim to assist as a frailty guide for helping clinical decision making.Copyright © 2023 Elsevier Inc. All rights reserved.

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