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发作现象学的承诺与陷阱。

The promises and pitfalls of seizure phenomenology.

机构信息

Academic Neurology Unit, The University of Sheffield, Royal Hallamshire Hospital, Glossop Road, Sheffield, S10 2JF, United Kingdom; Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, Glossop Road, Sheffield, S10 2JF, United Kingdom.

出版信息

Seizure. 2023 Dec;113:48-53. doi: 10.1016/j.seizure.2023.11.008. Epub 2023 Nov 11.

DOI:10.1016/j.seizure.2023.11.008
PMID:37976801
Abstract

The typical adult patient presenting with a first seizure has a normal clinical examination, uninformative investigations, and often has no witness to their episode. The assessing clinician, therefore, has one primary source of information to guide their assessment; the patient's experience. However, seizure phenomenology - the subjective seizure experience - has received relatively less attention by researchers than objective semiology or investigations. This essay reviews the clinical importance of seizure phenomenology, and the challenges clinicians face in eliciting accurate and clinically relevant descriptions of ictal experience. I conclude by discussing tools that clinicians may use to support the clinical application of seizure phenomenology, and exploring the subjectivity of epilepsy more broadly.

摘要

典型的首次发作的成年患者临床检查正常,检查结果无提示,且发作时通常没有目击者。因此,评估临床医生主要依靠患者的体验这一单一信息来源来进行评估。然而,与客观症状或检查相比,发作现象学(主观发作体验)在研究中受到的关注相对较少。本文回顾了发作现象学的临床重要性,以及临床医生在获取准确和具有临床相关性的发作体验描述方面所面临的挑战。最后,我讨论了临床医生可能用于支持发作现象学临床应用的工具,并更广泛地探讨了癫痫的主观性。

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The promises and pitfalls of seizure phenomenology.发作现象学的承诺与陷阱。
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Semiology Extraction and Machine Learning-Based Classification of Electronic Health Records for Patients With Epilepsy: Retrospective Analysis.癫痫患者电子健康记录的症状学提取与基于机器学习的分类:回顾性分析
JMIR Med Inform. 2024 Oct 17;12:e57727. doi: 10.2196/57727.
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Locus coeruleus co-activation patterns at rest show higher state persistence in patients with dissociative seizures: A Pilot Study.解离性癫痫患者静息时蓝斑核共激活模式显示出更高的状态持续性:一项初步研究。
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