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Updated: Dec 27, 2025

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke
Published on: February 22, 2020
Glucocorticoid Resistance is Associated with Poor Functional Outcome After Stroke
Anna Maria Lopatkiewicz1, Elzbieta Gradek-Kwinta1, Mateusz Czyzycki1
1Department of Neurology, Jagiellonian University Medical College, ul. Botaniczna 3, 31-503, Kraków, Poland.
Glucocorticoid (GC) resistance, indicated by a higher GC sensitivity index, is linked to worse outcomes following ischemic stroke. This suggests GC sensitivity may be a key factor in stroke recovery.
Area of Science:
- Neuroscience
- Immunology
- Endocrinology
Background:
- Systemic inflammation is a known predictor of poor outcomes in patients who have experienced an ischemic stroke.
- Glucocorticoids (GCs) are crucial in modulating inflammatory responses.
Purpose of the Study:
- To investigate the relationship between glucocorticoid (GC) sensitivity, systemic inflammation, and functional outcomes in ischemic stroke patients.
- To determine if GC resistance is associated with poorer recovery after stroke.
Main Methods:
- Assessed GC sensitivity by measuring tumor necrosis factor α (TNFα) release in response to lipopolysaccharide and dexamethasone stimulation in blood samples from 246 ischemic stroke patients.
- Calculated a GC sensitivity index, where a higher index signifies greater GC resistance.
- Utilized logistic regression analysis, adjusting for relevant clinical and inflammatory markers, to evaluate the association between GC sensitivity and stroke outcome.
Main Results:
- Patients with poor functional outcomes exhibited a significantly higher GC sensitivity index compared to those with good outcomes.
- A higher GC sensitivity index was independently associated with an increased risk of poor outcome after ischemic stroke (OR 2.32, 95% CI 1.21-4.45).
Conclusions:
- Glucocorticoid resistance is significantly associated with poor functional outcomes in the aftermath of an ischemic stroke.
- GC sensitivity may serve as a potential biomarker for predicting stroke recovery and guiding therapeutic strategies.
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