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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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PROGNOSTIC SIGNIFICANCE OF GENETIC MARKERS IN SYMPTOMATIC EPILEPSY AFTER STROKE

Authors: Bustanov O. Ya;

PROGNOSTIC SIGNIFICANCE OF GENETIC MARKERS IN SYMPTOMATIC EPILEPSY AFTER STROKE

Abstract

Post-stroke epilepsy is one of the most significant long-term complications of stroke and substantially worsens functional outcomes and quality of life. Genetic factors may determine individual susceptibility to the formation of an epileptogenic focus following structural brain injury. Objective. To evaluate the prognostic significance of gene polymorphisms related to neuroinflammation, ion channels, and neuroplasticity in the development of symptomatic epilepsy after stroke. Materials and Methods. A total of 124 patients with ischemic and hemorrhagic stroke were included in the study. Genotyping was performed for polymorphisms of IL-1β (–511C/T), IL-6 (–174G/C), TNF-α (–308G/A), SCN1A, GABRA1, and BDNF (Val66Met). Patients were followed prospectively for 12 months. Results. Symptomatic post-stroke epilepsy developed in 26 patients (20.9%). The most significant genetic predictors were the C allele of IL-6, the A allele of TNF-α, and variant forms of SCN1A. The combined predictive model demonstrated high prognostic value (AUC = 0.82). Conclusion. Genetic markers of inflammatory response and neuronal excitability have independent prognostic significance and may be used for risk stratification of post-stroke epilepsy.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average