Gondim Francisco de Assis Aquino, Barreira Amilton Antunes, Claudino Rinaldo, Cruz Márcia Waddington, Cunha Francisco Marcos Bezerra da, Freitas Marcos Raimundo Gomes de, França Marcondes Cavalcante, Gonçalves Marcus Vinícius Magno, Marques Wilson, Nascimento Osvaldo José Moreira, Oliveira Acary Souza Bulle, Pereira Raquel Campos, Pupe Camila, Rotta Francisco Tellechea, Schestatsky Pedro
Hospital Universitário Walter Cantídio, Faculdade de Medicina, Universidade Federal do Ceará, Fortaleza, CE, Brasil.
Departamento de Neurociências e Hospital das Clínicas, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil.
Arq Neuropsiquiatr. 2018 Mar;76(3):200-208. doi: 10.1590/0004-282x20180015.
The aim of this study was to describe the results of a Brazilian Consensus on Small Fiber Neuropathy (SFN). Fifteen neurologists (members of the Brazilian Academy of Neurology) reviewed a preliminary draft. Eleven panelists got together in the city of Fortaleza to discuss and finish the text for the manuscript submission. Small fiber neuropathy can be defined as a subtype of neuropathy characterized by selective involvement of unmyelinated or thinly myelinated sensory fibers. Its clinical picture includes both negative and positive manifestations: sensory (pain/dysesthesias/pruritus) or combined sensory and autonomic complaints, associated with an almost entirely normal neurological examination. Standard electromyography is normal. A growing list of medical conditions is associated with SFN. The classification of SFN may also serve as a useful terminology to uncover minor discrepancies in the normal values from different neurophysiology laboratories. Several techniques may disclose sensory and/or autonomic impairment. Further studies are necessary to refine these techniques and develop specific therapies.
本研究的目的是描述巴西小纤维神经病变（SFN）共识的结果。十五位神经科医生（巴西神经科学院成员）审阅了初稿。十一位专家在福塔雷萨市齐聚一堂，讨论并完成了用于稿件提交的文本。小纤维神经病变可定义为一种神经病变亚型，其特征是无髓鞘或薄髓鞘感觉纤维选择性受累。其临床表现包括阴性和阳性表现：感觉（疼痛/感觉异常/瘙痒）或感觉与自主神经联合症状，且神经系统检查几乎完全正常。标准肌电图正常。越来越多的医学病症与SFN相关。SFN的分类也可作为一个有用的术语，以发现不同神经生理学实验室正常数值中的细微差异。几种技术可能会揭示感觉和/或自主神经功能损害。需要进一步研究以完善这些技术并开发特定疗法。
