Literature DB >> 28267059

Diagnostic accuracy of laser-evoked potentials in diabetic neuropathy.

Giulia Di Stefano1, Silvia La Cesa, Caterina Leone, Alessia Pepe, Eleonora Galosi, Marco Fiorelli, Massimiliano Valeriani, Marco Lacerenza, Mario Pergolini, Antonella Biasiotta, Giorgio Cruccu, Andrea Truini.   

Abstract

Although the most widely agreed neurophysiological tool for investigating small fiber damage is laser-evoked potential (LEP) recording, no study has documented its diagnostic accuracy. In this clinical, neurophysiological, and skin biopsy study, we collected age-corrected LEP normative ranges, verified the association of LEPs with pinprick sensory disturbances in the typical diabetic mixed fiber polyneuropathy, and assessed the sensitivity and specificity of LEPs in diabetic small fiber neuropathy. From 288 LEP recordings from the face, hand, and foot in 73 healthy subjects, we collected age-corrected normative ranges for LEPs. We then selected 100 patients with mixed-fiber diabetic neuropathy and 25 patients with possible small-fiber diabetic neuropathy. In the 100 patients with mixed fiber neuropathy, we verified how LEP abnormalities were associated with clinically evident pinprick sensory disturbances. In the 25 patients with possible pure small fiber neuropathy, using the skin biopsy for assessing the intraepidermal nerve fiber density as a reference standard, we calculated LEP sensitivity and specificity. In healthy participants, age strongly influenced normative ranges for all LEP variables. By applying age-corrected normative ranges for LEPs, we found that LEPs were strongly associated with pinprick sensory disturbances. In relation to the skin biopsy findings, LEPs yielded 78% sensitivity and 81% specificity in the diagnosis of diabetic small fiber neuropathy. Our study, providing age-corrected normative ranges for the main LEP data and their diagnostic accuracy, helps to make LEPs more reliable as a clinical diagnostic tool, and proposes this technique as a less invasive alternative to skin biopsy for diagnosing diabetic small fiber neuropathy.

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Year:  2017        PMID: 28267059     DOI: 10.1097/j.pain.0000000000000889

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  5 in total

1.  Event-related brain potentials elicited by high-speed cooling of the skin: A robust and non-painful method to assess the spinothalamic system in humans.

Authors:  Roxane De Keyser; Emanuel N van den Broeke; Arthur Courtin; André Dufour; André Mouraux
Journal:  Clin Neurophysiol       Date:  2018-03-08       Impact factor: 3.708

Review 2.  Small Fiber Neuropathy.

Authors:  N Strand; C Wie; J Peck; M Maita; N Singh; J Dumbroff; V Tieppo Francio; M Murphy; K Chang; D M Dickerson; J Maloney
Journal:  Curr Pain Headache Rep       Date:  2022-04-06

3.  Which Method for Diagnosing Small Fiber Neuropathy?

Authors:  Vincent Fabry; Angélique Gerdelat; Blandine Acket; Pascal Cintas; Vanessa Rousseau; Emmanuelle Uro-Coste; Solène M Evrard; Anne Pavy-Le Traon
Journal:  Front Neurol       Date:  2020-05-05       Impact factor: 4.003

Review 4.  Challenges of neuropathic pain: focus on diabetic neuropathy.

Authors:  Daniela C Rosenberger; Vivian Blechschmidt; Hans Timmerman; André Wolff; Rolf-Detlef Treede
Journal:  J Neural Transm (Vienna)       Date:  2020-02-08       Impact factor: 3.575

Review 5.  Early Detection of Diabetic Peripheral Neuropathy: A Focus on Small Nerve Fibres.

Authors:  Jamie Burgess; Bernhard Frank; Andrew Marshall; Rashaad S Khalil; Georgios Ponirakis; Ioannis N Petropoulos; Daniel J Cuthbertson; Rayaz A Malik; Uazman Alam
Journal:  Diagnostics (Basel)       Date:  2021-01-24
  5 in total

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