Open AccessPredicting Postoperative Outcomes in Brain Tumor Patients With a 5-Factor Modified Frailty Index
Author(s) -
Sakibul Huq,
Adham M. Khalafallah,
Adrian E. Jimenez,
Abhishek Gami,
Sharon Lam,
Miguel A. Ruiz-Cardozo,
Leonardo A.P. Oliveira,
Debraj Mukherjee
Publication year - 2020
Publication title -
neurosurgery/neurosurgery online
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.455
H-Index - 198
eISSN - 1081-1281
pISSN - 0148-396X
DOI - 10.1093/neuros/nyaa335
Subject(s) - medicine , deep vein , pulmonary embolism , logistic regression , sepsis , odds ratio , intensive care unit , multivariate analysis , thrombosis , multivariate statistics , cohort , surgery , statistics , mathematics
Frailty indices may represent useful decision support tools to optimize modifiable drivers of quality and cost in neurosurgical care. However, classic indices are cumbersome to calculate and frequently require unavailable data. Recently, a more lean 5-factor modified frailty index (mFI-5) was introduced, but it has not yet been rigorously applied to brain tumor patients.