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Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy
BACKGROUND: Epilepsy is the third chronic brain illness worldwide. About a third of the epileptic patients will be drug resistant. Early identification of these patients is critical for appropriate treatment selection and prevention of the devastating consequences of recurrent seizures. The objectiv...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052302/ https://www.ncbi.nlm.nih.gov/pubmed/37009468 http://dx.doi.org/10.1186/s41983-023-00647-1 |
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author | Abokrysha, Noha T. Taha, Noha Shamloul, Reham Elsayed, Samar Osama, Wesam Hatem, Ghada |
author_facet | Abokrysha, Noha T. Taha, Noha Shamloul, Reham Elsayed, Samar Osama, Wesam Hatem, Ghada |
author_sort | Abokrysha, Noha T. |
collection | PubMed |
description | BACKGROUND: Epilepsy is the third chronic brain illness worldwide. About a third of the epileptic patients will be drug resistant. Early identification of these patients is critical for appropriate treatment selection and prevention of the devastating consequences of recurrent seizures. The objective of this study aims to detect clinical, electrophysiological, and radiological predictors for drug-resistant epilepsy patients. RESULTS: One hundred fifty-five patients were included in this study, divided into a well-controlled epilepsy group (103 patients) and a drug-resistant group (52 patients). Both groups were compared regarding clinical, electrophysiological, and neuro-radiological data. Younger age at onset, history of delayed milestones, history of perinatal insult (especially hypoxia), mental retardation, neurological deficits, depression, status epilepticus (SE), complex febrile seizures, focal seizure to bilateral tonic–clonic convulsion as well as multiple seizures and high seizure frequency (daily) at onset, poor response to first anti-seizure drug (ASD), structural and metabolic etiology, abnormal brain imaging, and slow background and multifocal epileptiform discharges in EEG were significant risk factors for the development of drug-resistant epilepsy. CONCLUSION: MRI abnormalities are the most significant predictor for drug-resistant epilepsy. Drug-resistant epilepsy is associated with clinical, electrophysiological, and radiological risk factors that can be used to diagnose drug-resistant patients early and choose the best treatment option and time. |
format | Online Article Text |
id | pubmed-10052302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-100523022023-03-29 Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy Abokrysha, Noha T. Taha, Noha Shamloul, Reham Elsayed, Samar Osama, Wesam Hatem, Ghada Egypt J Neurol Psychiatr Neurosurg Research BACKGROUND: Epilepsy is the third chronic brain illness worldwide. About a third of the epileptic patients will be drug resistant. Early identification of these patients is critical for appropriate treatment selection and prevention of the devastating consequences of recurrent seizures. The objective of this study aims to detect clinical, electrophysiological, and radiological predictors for drug-resistant epilepsy patients. RESULTS: One hundred fifty-five patients were included in this study, divided into a well-controlled epilepsy group (103 patients) and a drug-resistant group (52 patients). Both groups were compared regarding clinical, electrophysiological, and neuro-radiological data. Younger age at onset, history of delayed milestones, history of perinatal insult (especially hypoxia), mental retardation, neurological deficits, depression, status epilepticus (SE), complex febrile seizures, focal seizure to bilateral tonic–clonic convulsion as well as multiple seizures and high seizure frequency (daily) at onset, poor response to first anti-seizure drug (ASD), structural and metabolic etiology, abnormal brain imaging, and slow background and multifocal epileptiform discharges in EEG were significant risk factors for the development of drug-resistant epilepsy. CONCLUSION: MRI abnormalities are the most significant predictor for drug-resistant epilepsy. Drug-resistant epilepsy is associated with clinical, electrophysiological, and radiological risk factors that can be used to diagnose drug-resistant patients early and choose the best treatment option and time. Springer Berlin Heidelberg 2023-03-29 2023 /pmc/articles/PMC10052302/ /pubmed/37009468 http://dx.doi.org/10.1186/s41983-023-00647-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Abokrysha, Noha T. Taha, Noha Shamloul, Reham Elsayed, Samar Osama, Wesam Hatem, Ghada Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy |
title | Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy |
title_full | Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy |
title_fullStr | Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy |
title_full_unstemmed | Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy |
title_short | Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy |
title_sort | clinical, radiological and electrophysiological predictors for drug-resistant epilepsy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052302/ https://www.ncbi.nlm.nih.gov/pubmed/37009468 http://dx.doi.org/10.1186/s41983-023-00647-1 |
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