Literature DB >> 30559040

Electromyography and muscle biopsy in paediatric neuromuscular disorders - Evaluation of current practice and literature review.

Patricia Hafner1, Rahul Phadke2, Adnan Manzur3, Ralph Smith4, Stephan Jaiser5, Peter Schutz6, Caroline Sewry7, Francesco Muntoni8, Matthew Pitt4.   

Abstract

The conduct and interpretation of electromyography in children is considered difficult and therefore often avoided. We assessed the diagnostic accuracy of the paediatric electromyography protocol used in our tertiary reference centre and compared it to muscle biopsy results and clinical diagnosis. Electromyography was performed in unsedated children with suspected neuromuscular diseases between January 2010 and September 2017 and was analysed quantitatively. Muscle pathology was classified into seven groups based on existing histopathology reports. The clinical diagnosis, including myopathic, neurogenic and non-neuromuscular categories was used as the gold standard. 171 children between the age of 12 days to 17.4 years were included in the analysis. 41 children (24%) were under the age of 2 years at the time of electromyography. 98 (57%) children were diagnosed with a myopathic disorder, 18 (11%) with a neurogenic disease and 55 (32%) as not having a primary neuromuscular disorder. In detecting myopathic disease, electromyography performed as well as muscle biopsy (sensitivity 87.8% for electromyography vs. 84.5% for muscle biopsy; specificity 75.7% vs. 86.4%). This also applied to children under the age of 2 years (sensitivity 81.8% vs. 86.4%). Quantitative analysis of a limited electromyography protocol performed in unsedated children is a very valuable diagnostic tool. Crown
Copyright © 2018. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  EMG; Electromyography; Muscle biopsy; Myopathy; Neuropathy; Paediatrics

Mesh:

Year:  2018        PMID: 30559040     DOI: 10.1016/j.nmd.2018.10.003

Source DB:  PubMed          Journal:  Neuromuscul Disord        ISSN: 0960-8966            Impact factor:   4.296


  1 in total

1.  Central Core Disease: Facial Weakness Differentiating Biallelic from Monoallelic Forms.

Authors:  Ana Cotta; Lucas Santos Souza; Elmano Carvalho; Leticia Nogueira Feitosa; Antonio Cunha; Monica Machado Navarro; Jaquelin Valicek; Miriam Melo Menezes; Simone Vilela Nunes Neves; Rafael Xavier-Neto; Antonio Pedro Vargas; Reinaldo Issao Takata; Julia Filardi Paim; Mariz Vainzof
Journal:  Genes (Basel)       Date:  2022-04-26       Impact factor: 4.141

  1 in total

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