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Epilepsy in hypothalamic hamartomas: semiology spectrum and predictor analyses of 78 patients
OBJECTIVE: To assess seizure semiology and disease evolution in a large number of hypothalamic hamartoma (HH) patients. METHODS: Seizure semiology and associated medical records for 78 patients with HH‐related epilepsy were retrospectively reviewed. Potential predictors of seizure types were assesse...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424656/ https://www.ncbi.nlm.nih.gov/pubmed/37366336 http://dx.doi.org/10.1002/acn3.51827 |
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author | Wang, Xiu Liu, Chang Zheng, Zhong Hu, Wenhan Zhang, Chao Yang, Xiaoli Shao, Xiaoqiu Zhang, Jian‐Guo Zhang, Kai |
author_facet | Wang, Xiu Liu, Chang Zheng, Zhong Hu, Wenhan Zhang, Chao Yang, Xiaoli Shao, Xiaoqiu Zhang, Jian‐Guo Zhang, Kai |
author_sort | Wang, Xiu |
collection | PubMed |
description | OBJECTIVE: To assess seizure semiology and disease evolution in a large number of hypothalamic hamartoma (HH) patients. METHODS: Seizure semiology and associated medical records for 78 patients with HH‐related epilepsy were retrospectively reviewed. Potential predictors of seizure types were assessed through univariate and binary logistic regression analyses. RESULTS: 57 (73.1%) patients presented with gelastic seizures at the onset of epilepsy, of whole 39 (68.4%) experienced additional seizure types with a mean latency interval of 4.59 years. Automatism, version, and sGTCs were increasingly common with disease evolution. The intraventricular size of HH was significantly negatively correlated with the disease evolution interval (r = −0.445, p = 0.009). A significantly higher rate of patients with automatism in the DF‐II group relative to the DF‐III group was found in both χ (2) (X = 6.07, p = 0.014) and logistic regression analyses (B = 3.196, p = 0.020). INTERPRETATION: Gelastic seizures are the most common initial seizure type in HH patients, but variable semiologies occur with disease evolution. The intraventricular HH lesion size is an important determinant of epilepsy evolution. DF‐II HH lesions contribute to a higher chance of automatism evolution. The present study furthers our understanding of the dynamic organization of the seizure network affected by HH. |
format | Online Article Text |
id | pubmed-10424656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104246562023-08-15 Epilepsy in hypothalamic hamartomas: semiology spectrum and predictor analyses of 78 patients Wang, Xiu Liu, Chang Zheng, Zhong Hu, Wenhan Zhang, Chao Yang, Xiaoli Shao, Xiaoqiu Zhang, Jian‐Guo Zhang, Kai Ann Clin Transl Neurol Research Articles OBJECTIVE: To assess seizure semiology and disease evolution in a large number of hypothalamic hamartoma (HH) patients. METHODS: Seizure semiology and associated medical records for 78 patients with HH‐related epilepsy were retrospectively reviewed. Potential predictors of seizure types were assessed through univariate and binary logistic regression analyses. RESULTS: 57 (73.1%) patients presented with gelastic seizures at the onset of epilepsy, of whole 39 (68.4%) experienced additional seizure types with a mean latency interval of 4.59 years. Automatism, version, and sGTCs were increasingly common with disease evolution. The intraventricular size of HH was significantly negatively correlated with the disease evolution interval (r = −0.445, p = 0.009). A significantly higher rate of patients with automatism in the DF‐II group relative to the DF‐III group was found in both χ (2) (X = 6.07, p = 0.014) and logistic regression analyses (B = 3.196, p = 0.020). INTERPRETATION: Gelastic seizures are the most common initial seizure type in HH patients, but variable semiologies occur with disease evolution. The intraventricular HH lesion size is an important determinant of epilepsy evolution. DF‐II HH lesions contribute to a higher chance of automatism evolution. The present study furthers our understanding of the dynamic organization of the seizure network affected by HH. John Wiley and Sons Inc. 2023-06-27 /pmc/articles/PMC10424656/ /pubmed/37366336 http://dx.doi.org/10.1002/acn3.51827 Text en © 2023 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Wang, Xiu Liu, Chang Zheng, Zhong Hu, Wenhan Zhang, Chao Yang, Xiaoli Shao, Xiaoqiu Zhang, Jian‐Guo Zhang, Kai Epilepsy in hypothalamic hamartomas: semiology spectrum and predictor analyses of 78 patients |
title | Epilepsy in hypothalamic hamartomas: semiology spectrum and predictor analyses of 78 patients |
title_full | Epilepsy in hypothalamic hamartomas: semiology spectrum and predictor analyses of 78 patients |
title_fullStr | Epilepsy in hypothalamic hamartomas: semiology spectrum and predictor analyses of 78 patients |
title_full_unstemmed | Epilepsy in hypothalamic hamartomas: semiology spectrum and predictor analyses of 78 patients |
title_short | Epilepsy in hypothalamic hamartomas: semiology spectrum and predictor analyses of 78 patients |
title_sort | epilepsy in hypothalamic hamartomas: semiology spectrum and predictor analyses of 78 patients |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424656/ https://www.ncbi.nlm.nih.gov/pubmed/37366336 http://dx.doi.org/10.1002/acn3.51827 |
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