成人特发性全身性癫痫的深度表型队列的无监督聚类。

IF 6.6 1区 医学 Q1 CLINICAL NEUROLOGY Epilepsia Pub Date : 2024-12-26 DOI:10.1111/epi.18225
Line Gavnholt, Joanna Gesche, Emanuele Cerulli Irelli, Thomas Krøigård, Sofie Bloch Mangaard, Carlo Di Bonaventura, Guido Rubboli, Richard Röttger, Christoph Patrick Beier
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引用次数: 0

摘要

目的:成人特发性全身性癫痫(IGE)包括青少年肌阵挛性癫痫(JME)、青少年失智性癫痫(JAE)和癫痫伴全身性强直-阵挛性发作(EGTCS),它们由发作类型定义,但也涵盖了广泛的症状内表型。成人IGE是一组不同的疾病还是一种疾病的临床谱存在争议。在这里,我们使用了一个深度表型队列来验证IGE包含三个不同临床实体的假设。方法:2016年至2020年在欧登塞大学医院和丹麦癫痫中心招募IGE患者(bb0 - 18岁)。基本人口统计学、影像学、社会地位和治疗反应的完整数据。受试者接受神经心理学筛查(包括精神疾病症状)。重新分析脑电图(eeg),并输入缺失数据。选择特征并对数据进行归一化后,对数据集和一个相同的随机数据集进行k-means聚类分析。结果:数据集包括502例患者和22个不同的不重叠的临床特征。肘部和间隙分析显示最佳簇数为1;特征值最高的特征是诊断时的年龄和自我报告的执行功能障碍。应用k-means聚类得到3个低质量聚类,按轮廓评分评估(平均值= 0.400±0.01)。随机对照数据集相应的平均轮廓评分为0.390(±0.002)。诊断时的年龄与脑电图上的癫痫放电和治疗反应有关。自我报告的执行功能障碍与精神症状和冲动有关。JME、JAE和EGTCS与聚类呈松散相关(k =。088, p = .002),但在由诊断年龄和自我报告的执行功能障碍定义的矩阵中显示出特定的分布。意义:成人的IGE最好被描述为症状的连续体,其中诊断时的年龄和执行功能障碍是解释其大多数临床变异性的两个主要因素。癫痫发作定义的综合征涵盖临床范围内的不同患者群体。
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Unsupervised clustering of a deeply phenotyped cohort of adults with idiopathic generalized epilepsy.

Objective: Idiopathic generalized epilepsy (IGE) in adults comprise juvenile myoclonic epilepsy (JME), juvenile absence epilepsy (JAE), and epilepsy with generalized tonic-clonic seizures alone (EGTCS), which are defined by their seizure types but also cover a broad endophenotype of symptoms. Controversy exists on whether adult IGE is a group of distinct diseases or a clinical spectrum of one disease. Here, we used a deeply phenotyped cohort to test the hypothesis that IGE comprises three distinct clinical entities.

Methods: Patients (>18 years old) with IGE were recruited between 2016 and 2020 at Odense University Hospital and the Danish Epilepsy Center. Complete data were available for basic demographics, imaging, social status, and treatment response. Subjects were offered neuropsychological screening (including symptoms of psychiatric disease). Electroencephalograms (EEGs) were reanalyzed, and missing data were imputed. After selecting the features and normalizing the data, the dataset and an identical randomized dataset were subjected to k-means cluster analysis.

Results: The dataset comprised 502 patients and 22 distinct nonoverlapping clinical features. Elbow and gap analyses revealed an optimal number of clusters of 1; the features with the highest eigenvalues were age at diagnosis and self-reported executive dysfunction. Applying k-means clustering yielded three low-quality clusters as assessed by silhouette score (mean = .400 ± .01). The corresponding mean silhouette score for the randomized control dataset was .390 (±.002). Age at diagnosis was associated with the epileptic discharges on EEG and treatment response. Self-reported executive dysfunction showed associations with psychiatric symptoms and impulsivity. JME, JAE, and EGTCS were loosely associated with the clusters (k = .088, p = .002) but showed a specific distribution within a matrix defined by age at diagnosis and self-reported executive dysfunction.

Significance: IGE in adults is best described as a continuum of symptoms, where age at diagnosis and executive dysfunction are two main factors explaining most of its clinical variability. The seizure-defined syndromes cover different patient groups within the clinical spectrum.

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来源期刊
Epilepsia
Epilepsia 医学-临床神经学
CiteScore
10.90
自引率
10.70%
发文量
319
审稿时长
2-4 weeks
期刊介绍: Epilepsia is the leading, authoritative source for innovative clinical and basic science research for all aspects of epilepsy and seizures. In addition, Epilepsia publishes critical reviews, opinion pieces, and guidelines that foster understanding and aim to improve the diagnosis and treatment of people with seizures and epilepsy.
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