E Ebrat-Mancilla, A Sánchez-Aparicio, A Pérez de Vargas-Martínez, M E Marín-Serrano, M Vaquero-Martínez, G Iglesias-Escalera, M R Cazorla, L F López-Pájaro
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Videoelectroencephalography patterns with some typical characteristics associated with Angelman syndrome have been reported, although these are not specific to it, and as such it is also useful for early diagnosis, especially in the first months or years of life.</p><p><strong>Objective: </strong>To characterise the videoelectroencephalography findings of 17 patients diagnosed with Angelman syndrome, and compare them with previously published studies.</p><p><strong>Patients and methods: </strong>We conducted a retrospective observational study of 34 video EEGs performed on 17 patients diagnosed with Angelman syndrome at the clinical neurophysiology service of the Puerta de Hierro University Hospital in Madrid between 2019 and 2022. The primary objective was to characterise the videoelectroencephalographic findings and compare them with previously published studies. As secondary objectives, we analysed the patterns proposed by Dan and Boyd, and other demographic, genetic and clinical data.</p><p><strong>Results: </strong>Video EEG supported the clinical suspicion in our study, as baseline brain activity was altered in all the patients. We identified a pattern similar to those defined by Dan and Boyd in 88% of the cases, and the type III pattern was the most common in our series.</p><p><strong>Conclusions: </strong>These findings confirm that video EEG is highly sensitive for the diagnosis of Angelman syndrome, and very useful as a diagnostic biomarker in the early stages of life.</p>","PeriodicalId":21281,"journal":{"name":"Revista de neurologia","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Epilepsy in Angelman syndrome and the most common electroencephalographic findings].\",\"authors\":\"E Ebrat-Mancilla, A Sánchez-Aparicio, A Pérez de Vargas-Martínez, M E Marín-Serrano, M Vaquero-Martínez, G Iglesias-Escalera, M R Cazorla, L F López-Pájaro\",\"doi\":\"10.33588/rn.7908.2024233\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Angelman syndrome is a genetic disorder characterised by severe mental retardation, subtle dysmorphic facial features, a characteristic behavioural phenotype, seizures and abnormalities in video electroencephalograms (video EEG). 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引用次数: 0
摘要
简介安杰尔曼综合征是一种遗传性疾病,其特征是严重的智力迟钝、细微的面部畸形特征、特征性的行为表型、癫痫发作和视频脑电图(视频 EEG)异常。安杰尔曼综合征可能与涉及 15q11-13 号染色体区域的遗传机制有关。多达 90% 的病例有癫痫发作,通常发生在生命的最初几年。有报道称视频脑电图模式具有与安杰尔曼综合征相关的一些典型特征,尽管这些特征并非安杰尔曼综合征所特有,但也因此有助于早期诊断,尤其是在患者出生后的头几个月或头几年:目的:描述 17 名被诊断为安杰尔曼综合征患者的视频脑电图结果的特征,并将其与之前发表的研究结果进行比较:我们对 2019 年至 2022 年期间在马德里 Puerta de Hierro 大学医院临床神经生理学服务处确诊的 17 名安杰曼综合征患者进行的 34 次视频脑电图进行了回顾性观察研究。主要目的是描述视频脑电图结果的特征,并将其与之前发表的研究进行比较。作为次要目标,我们分析了丹和博伊德提出的模式以及其他人口、遗传和临床数据:视频脑电图支持我们研究中的临床怀疑,因为所有患者的基线大脑活动都发生了改变。我们在 88% 的病例中发现了与 Dan 和 Boyd 所定义的模式相似的模式,而 III 型模式在我们的系列研究中最为常见:这些研究结果证实,视频脑电图对诊断安杰尔曼综合征具有高度敏感性,是生命早期阶段非常有用的诊断生物标志物。
[Epilepsy in Angelman syndrome and the most common electroencephalographic findings].
Introduction: Angelman syndrome is a genetic disorder characterised by severe mental retardation, subtle dysmorphic facial features, a characteristic behavioural phenotype, seizures and abnormalities in video electroencephalograms (video EEG). Angelman syndrome may be associated with genetic mechanisms involving the region of chromosome 15q11-13. Up to 90% of cases have epileptic seizures, usually in the early years of life. Videoelectroencephalography patterns with some typical characteristics associated with Angelman syndrome have been reported, although these are not specific to it, and as such it is also useful for early diagnosis, especially in the first months or years of life.
Objective: To characterise the videoelectroencephalography findings of 17 patients diagnosed with Angelman syndrome, and compare them with previously published studies.
Patients and methods: We conducted a retrospective observational study of 34 video EEGs performed on 17 patients diagnosed with Angelman syndrome at the clinical neurophysiology service of the Puerta de Hierro University Hospital in Madrid between 2019 and 2022. The primary objective was to characterise the videoelectroencephalographic findings and compare them with previously published studies. As secondary objectives, we analysed the patterns proposed by Dan and Boyd, and other demographic, genetic and clinical data.
Results: Video EEG supported the clinical suspicion in our study, as baseline brain activity was altered in all the patients. We identified a pattern similar to those defined by Dan and Boyd in 88% of the cases, and the type III pattern was the most common in our series.
Conclusions: These findings confirm that video EEG is highly sensitive for the diagnosis of Angelman syndrome, and very useful as a diagnostic biomarker in the early stages of life.