Association between the postoperative glycemic variability and mortality after craniotomy: a retrospective cohort study and development of a mortality prediction model

Association between the postoperative glycemic variability and mortality after craniotomy: a retrospective cohort study and development of a mortality prediction model

BackgroundGlycemic variability (GV), typically quantified by the coefficient of variation (CV) and the root mean square of successive differences (rMSSD), has been recognized as a potential predictor of poor outcomes in critically ill patients. However, its prognostic value in neurosurgical populati...

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Bibliographic Details
Main Authors: Yuanshuo Ge, Guangdong Wang, Yun Huang, Yaxin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Endocrinology
Subjects:
glycemic variability
craniotomy
mortality
retrospective cohort study
machine learning prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1613662/full
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