Clinical diagnosis and management of small fiber neuropathy: an update on best practice.

Small fiber neuropathy autonomic disorders neuropathic pain painful evoked potentials quantitative sensory testing skin biopsy sodium channelopathy

Journal

Expert review of neurotherapeutics
ISSN: 1744-8360
Titre abrégé: Expert Rev Neurother
Pays: England
ID NLM: 101129944

Informations de publication

Date de publication:
09 2020
Historique:
pubmed: 14 7 2020
medline: 12 6 2021
entrez: 14 7 2020
Statut: ppublish

Résumé

Small fiber neuropathy (SFN) is a heterogeneous group of disorders affecting thin myelinated Aδ and unmyelinated C fibers. Common symptoms include neuropathic pain and autonomic disturbances, and the typical clinical presentation is that of a length-dependent polyneuropathy, although other distributions could be present. This review focuses on several aspects of SFN including etiology, clinical presentation, diagnostic criteria and tests, management, and future perspectives. Diagnostic challenges are discussed, encompassing the role of accurate and standardized assessment of symptoms and signs and providing clues for the clinical practice. The authors discuss the evidence in support of skin biopsy and quantitative sensory testing as diagnostic tests and present an overview of other diagnostic techniques to assess sensory and autonomic fibers dysfunction. The authors also suggest a systematic approach to the etiology including a set of laboratory tests and genetic examinations of sodium channelopathies and other rare conditions that might drive the therapeutic approach based on underlying cause or symptoms treatment. SFN provides a useful model for neuropathic pain whose known mechanisms and cause could pave the way toward personalized treatments.

Identifiants

pubmed: 32654574
doi: 10.1080/14737175.2020.1794825
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

967-980

Auteurs

Grazia Devigili (G)

Movement Disorders Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta" , Milan, Italy.

Daniele Cazzato (D)

Neurophysiology Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta" , Milan, Italy.

Giuseppe Lauria (G)

Neuroalgology Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta" , Milan, Italy.
Department of Biomedical and Clinical Sciences "Luigi Sacco", University of Milan , Milan, Italy.

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Classifications MeSH