Literature DB >> 25540246

Diagnostic accuracy of electrically elicited multiplet discharges in patients with motor neuron disease.

Boudewijn T H M Sleutjes1, Inger Montfoort1, Pieter A van Doorn2, Gerhard H Visser3, Joleen H Blok4.   

Abstract

OBJECTIVE: To determine and compare the diagnostic accuracy of electrically elicited multiplet discharges (MDs) and fasciculation potentials (FPs) in motor neuron disease (MND).
METHODS: Patients were eligible when they had MND in their differential diagnosis and were referred for electromyogram (EMG). Stimulated high-density surface EMG of the thenar muscles was performed on the same day as standard EMG examination. High-density recordings were analysed for presence of MDs and needle EMG of any muscle investigated in the cervical region for presence of FPs.
RESULTS: Of the 61 patients enrolled in this diagnostic study, 24 patients were clinically diagnosed with amyotrophic lateral sclerosis (ALS) and 11 patients with progressive muscular atrophy (PMA). Another diagnosis was made in 26 patients. Sixteen patients in whom MDs were detected were diagnosed with either ALS (n = 11) or PMA (n = 5; sensitivity = 47.1%, PPV = 94.1%). MDs were detected in only one patient initially diagnosed with PMA, but in whom later on, multifocal motor neuropathy could not be excluded (specificity = 96.2%). Electrically elicited MDs had a higher specificity than FPs (96.2% vs 53.9%, p < 0.001, n = 26) and lower sensitivity (47.1% vs 85.3%, p = 0.002, n = 34). When considering presence of MDs in MND as neurogenic EMG abnormality, lower motor neuron involvement of ≥ 1 EMG region increased from 50% to 73.5% (p = 0.008, n = 34).
CONCLUSIONS: Electrically evoked MDs are highly specific for ALS and PMA and are an early sign of lower motor neuron dysfunction. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  ALS; EMG; MOTOR NEURON DISEASE; NEUROPHYSIOL, CLINICAL

Mesh:

Year:  2014        PMID: 25540246     DOI: 10.1136/jnnp-2014-308589

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  3 in total

1.  Quantitative analysis of the features of fasciculation potentials and their relation with muscle strength in amyotrophic lateral sclerosis.

Authors:  Kota Bokuda; Toshio Shimizu; Hideki Kimura; Toshihiro Yamazaki; Tsutomu Kamiyama; Kazuhiko Watabe; Akihiro Kawata; Masaharu Hayashi; Eiji Isozaki
Journal:  Neurol Sci       Date:  2016-08-19       Impact factor: 3.307

2.  Non-invasive measurement of fasciculation frequency demonstrates diagnostic accuracy in amyotrophic lateral sclerosis.

Authors:  Arina Tamborska; James Bashford; Aidan Wickham; Raquel Iniesta; Urooba Masood; Cristina Cabassi; Domen Planinc; Emma Hodson-Tole; Emmanuel Drakakis; Martyn Boutelle; Kerry Mills; Chris Shaw
Journal:  Brain Commun       Date:  2020-09-07

3.  The evolving role of surface electromyography in amyotrophic lateral sclerosis: A systematic review.

Authors:  J Bashford; K Mills; C Shaw
Journal:  Clin Neurophysiol       Date:  2019-12-27       Impact factor: 3.708

  3 in total

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