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Updated: Feb 19, 2026

A Mouse Model of Hemorrhagic Transformation Induced by Acute Hyperglycemia Combined with Transient Focal Ischemia
Published on: November 15, 2024
Increased glycemic variability associated with a poor 30-day functional outcome in acute intracerebral hemorrhage
Yan-Chun Wu1, Zan Ding2, Jiang Wu3
11Department of Neurology Medicine and Surgery Services, First Affiliated Hospital of Shantou University Medical College, Shantou.
Insights
Glycemic variability, measured by glucose standard deviation or coefficient of variation, may indicate poor outcomes in patients with intracerebral hemorrhage. This finding highlights the importance of monitoring blood sugar fluctuations for stroke prognosis.
Area of Science:
- Neurology
- Endocrinology
- Critical Care Medicine
Background:
- Intracerebral hemorrhage (ICH) is a severe neurological condition with high mortality and morbidity.
- Glycemic variability is increasingly recognized as a significant factor in various clinical outcomes.
- Standardized methods for assessing glycemic variability include standard deviation and coefficient of variation of glucose levels.
Purpose of the Study:
- To investigate the association between glycemic variability and patient prognosis following intracerebral hemorrhage.
- To determine if glycemic variability is an independent predictor of poor outcomes in ICH patients.
Main Methods:
- Analysis of patient data to assess glycemic variability using standard deviation and coefficient of variation of glucose levels.
- Correlation of glycemic variability metrics with clinical outcomes and prognosis in intracerebral hemorrhage.
Main Results:
- Glycemic variability, assessed by standard deviation or coefficient of variation, was found to be associated with patient prognosis.
- Elevated glycemic variability correlated with poorer outcomes in individuals suffering from intracerebral hemorrhage.
Conclusions:
- Glycemic variability is a potential indicator of poor prognosis in patients with intracerebral hemorrhage.
- Monitoring and managing glycemic variability may be crucial for improving outcomes in ICH patients.
Abstract:
The authors analyzed the association between the standard deviation or the coefficient of variation in the glucose value, strong independent indexes for determining glycemic variability, and the prognosis of intracerebral hemorrhage. They found that glycemic variability may be associated with a poor outcome in intracerebral hemorrhage.

