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一项关于五维患者导向型癫痫分类的提议。

A proposal for a five-dimensional patient-oriented epilepsy classification.

作者信息

Loddenkemper Tobias, Kellinghaus Christoph, Wyllie Elaine, Najm Imad M, Gupta Ajay, Rosenow Felix, Lüders Hans O

机构信息

Department of Neurology, The Cleveland Clinic Foundation, Cleveland, OH 44195, USA.

出版信息

Epileptic Disord. 2005 Dec;7(4):308-16.

Abstract

The recent proposal by the ILAE Task Force for Epilepsy Classification consists of a multi-axial syndrome-oriented approach. Epilepsy syndromes, as defined by the ILAE, group patients according to various, poorly defined parameters. The resulting syndromes have frequently no biological significance, with overlap among different syndromes and syndromes changing with age. Additionally, only a minority of patients can be classified syndromatically, and the axes of this classification system convey redundant information. We propose a five-dimensional, patient-oriented approach to classifying epilepsies. This approach shifts from the syndrome-oriented approach to a standard, neurological, methodological, patient-oriented approach, using independent criteria in each of the five dimensions. Similar to general neurology, the first step in each patient-physician encounter in epileptology is to take a history of the presenting symptoms and generate a hypothesis regarding the localization and etiology of the symptom within the nervous system. Therefore, the main dimensions of this classification consist of: 1) localization of the epileptogenic zone, 2) seizure semiology classified according to the semiological seizure classification, 3) etiology, 4) seizure frequency, and 5) related medical conditions. These dimensions characterize all of the information necessary for patient management, are independent parameters, and include more pertinent information with regards to patient management than the ILAE axes. All patients can be classified according to this five-dimensional system even at the initial patient encounter when no detailed test results are available. Information from clinical tests, such as MRI and EEG, are translated into the best possible working hypothesis at the time of classification, allowing for increasing precision of the classification as additional information becomes available. This patient-oriented classification envisions an epileptic seizure as an independent symptom of a central nervous system dysfunction due to different causes, with various cortical localizations, occurring at various frequencies, and in conjunction with other diseases and clinical symptoms.

摘要

国际抗癫痫联盟(ILAE)癫痫分类特别工作组最近提出的建议采用了一种多轴、以综合征为导向的方法。按照ILAE的定义,癫痫综合征是根据各种定义模糊的参数对患者进行分组。由此产生的综合征往往没有生物学意义,不同综合征之间存在重叠,且综合征会随年龄变化。此外,只有少数患者能够按照综合征进行分类,而且这个分类系统的各个轴传达了冗余信息。我们提出一种面向患者的癫痫五维分类方法。这种方法从以综合征为导向的方法转变为一种标准的、基于神经学的、方法学的、面向患者的方法,在五个维度中的每个维度都使用独立的标准。与普通神经学类似,在癫痫学领域,每次医患会面的第一步都是了解当前症状的病史,并就症状在神经系统中的定位和病因形成一个假设。因此,这个分类的主要维度包括:1)致痫区的定位;2)根据癫痫发作症状学分类对发作症状进行分类;3)病因;4)发作频率;5)相关的医疗状况。这些维度涵盖了患者管理所需的所有信息,是独立的参数,并且与ILAE的各个轴相比,包含了更多与患者管理相关的重要信息。即使在初次医患会面且没有详细检查结果时,所有患者都可以根据这个五维系统进行分类。来自MRI和EEG等临床检查的信息在分类时被转化为尽可能最佳的工作假设,随着更多信息的获取,分类的精确度会不断提高。这种面向患者的分类将癫痫发作视为由于不同原因导致的中枢神经系统功能障碍的独立症状,具有不同的皮质定位,以不同频率发作,并伴有其他疾病和临床症状。

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