ISSN: 1859 - 2872
Study on risk factors for late seizure in post-ischemic stroke patients in Vietnam
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Tóm tắt
Introduction: Late post-stroke seizure (LS) occurs ≥ 7 days after the stroke onset. LS usually occurs within the first 2 years, but the risk of occurrence within 10 years is up to 71.5%. Strategies to prevent and minimize the negative impacts caused by LS are still ineffective. Therefore, building a model of factors that can accurately predict the risk of LS is an urgent priority. Objective: Describe clinical and laboratory and imaging findings characteristics and prognosis of seizures in patients after supratentorial stroke and analyze risk factors for LS in this patient group. Subject and method: The study design is a prospective cohort study with longitudinal follow-up. The study subjects included 739 patients diagnosed with cerebral infarction, treated at the Department of Neurology, the Department of Stroke - 108 Military Central Hospital and the Stroke Center - Phu Tho Provincial General Hospital. Patients were diagnosed with LS based on clinical symptoms and electroencephalograms. Related factors include: general characteristics (age, gender, BMI...), stroke characteristics (Glassgow, NIHSS, lesion location, lesion area...), blood tests (complete blood count, serum biochemistry...). These factors were analyzed by multivariable logistic regression model to determine independent prognostic factors for late seizure. Results: Univariate analysis showed that factors affecting the risk of LS included: age, history of arrhythmia, previous stroke, early post-stroke seizure (ES), cortical lesions, temporal lobe lesions, embolism from the heart (TOAST), white blood cells, urea, creatinine, Cholesterol and LDL-C. Logistic regression model showed that history of ES was the only independent predictor of LS (OR: 5.906; 95%CI: 1.374-25.373; p<0.001). Conclusion: Early post-stroke seizure was an independent predictor and increased the risk of post-stroke epilepsy.
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2. Chen J, Ye H, Zhang J et al (2022) Pathogenesis of seizures and post-stroke epilepsy. Acta Epileptologica 4: 1-6.
3. Coupland AP, Thapar A, Qureshi MI et al (2017) The definition of stroke. Journal of the Royal Society of Medicine 110(1): 9-12.
4. Fisher RS, Acevedo C, Arzimanoglou A et al (2014) ILAE official report: A practical clinical definition of epilepsy. Epilepsia 55(4): 475-482.
5. Goldstein LB, Jones MR, Matchar DB et al (2001) Improving the reliability of stroke subgroup classification using the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) criteria. Stroke 32(5): 1091-1097.
6. Chen T-C, Chen Y-Y, Cheng P-Y, and Lai C-H (2012), The incidence rate of post-stroke epilepsy: A 5-year follow-up study in Taiwan. Epilepsy Research. 102(3): 188-194.
7. Zou S, Wu X, Zhu B et al (2015) The pooled incidence of post-stroke seizure in 102 008 patients. Topics in Stroke Rehabilitation 22(6): 460-467.
8. Lahti A-M, Saloheimo P, Huhtakangas J et al (2017) Poststroke epilepsy in long-term survivors of primary intracerebral hemorrhage. Neurology. 88(23): 2169-2175.
9. Graham NS, Crichton S, Koutroumanidis M, et al. (2013) Incidence and associations of poststroke epilepsy: The prospective South London Stroke Register. Stroke 44(3): 605-611.
10. Dinç Y, Demir AB, Özkaya G, and Bakar M (2023) Specificity and sensitivity of the SeLECT score in predicting late seizures in patients undergoing intravenous thrombolytic treatment and the effect of diabetes mellitus and leukoaraiosis. Arquivos de Neuro-Psiquiatria 81: 217-224.
11. Galovic M, Döhler N, Erdélyi-Canavese B et al (2018) Prediction of late seizures after ischaemic stroke with a novel prognostic model (the SeLECT score): A multivariable prediction model development and validation study. The Lancet Neurology 17(2): 143-152.
12. Bladin CF, Alexandrov AV, Bellavance A, et al. (2000) Seizures after stroke: A prospective multicenter study. Archives of neurology 57(11): 1617-1622.
13. Phan J, Ramos M, Soares T, and Parmar MS (2022) Poststroke Seizure and Epilepsy: A Review of Incidence, Risk Factors, Diagnosis, Pathophysiology, and Pharmacological Therapies. Oxid Med Cell Longev: 7692215.
14. Kammersgaard LP and Olsen TS (2005) Poststroke epilepsy in the Copenhagen stroke study: incidence and predictors. Journal of Stroke and Cerebrovascular Diseases 14(5): 210-214.
15. Ozon AO and Cüce F (2020) Clinical and radiological evaluation of epilepsy after ischemic cerebrovascular disease.
16. Zhang C, Wang X, Wang Y et al (2014) Risk factors for post-stroke seizures: A systematic review and meta-analysis. Epilepsy Research 108(10): 1806-1816.
17. Agarwal A, Sharma J, Padma Srivastava MV et al (2021) Early Post-Stroke Seizures in Acute Ischemic Stroke: A Prospective Cohort Study. Ann Indian Acad Neurol 24(4): 580-585.
18. Guo X, Zhong R, Han Y et al (2022) Incidence and relevant factors for seizures after spontaneous intracerebral hemorrhage: A systematic review and meta-analysis. Seizure 101: 30-38.
19. Li X, Breteler MM, De Bruyne MC et al (1997) Vascular determinants of epilepsy: The Rotterdam Study. Epilepsia 38(11): 1216-1220.
20. Wang G, Jia H, Chen C et al (2013) Analysis of risk factors for first seizure after stroke in Chinese patients. BioMed research international.
21. Ferreira‐Atuesta C, Döhler N, Erdélyi‐Canavese B, et al (2021) Seizures after ischemic stroke: A matched multicenter study. Annals of neurology 90(5): 808-820.
22. Prince DA, Parada I, Scalise K et al (2009) Epilepsy following cortical injury: Cellular and molecular mechanisms as targets for potential prophylaxis. Epilepsia 50: 30-40.
23. Tubi MA, Lutkenhoff E, Blanco MB et al (2019) Early post-stroke seizures and temporal lobe trauma predict post-traumatic epilepsy: a longitudinal study. Neurobiology of disease 123: 115-121.
24. Gupta PK, Sayed N, Ding K et al (2014) Subtypes of post-traumatic epilepsy: clinical, electrophysiological, and imaging features. Journal of neurotrauma 31(16): 1439-1443.
25. Sizemore G, Lucke-Wold B, Rosen C et al (2018) Temporal lobe epilepsy, stroke, and traumatic brain injury: mechanisms of hyperpolarized, depolarized, and flow-through ion channels utilized as tri-coordinate biomarkers of electrophysiologic dysfunction. OBM neurobiology 2(2).
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