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Bedside and laboratory diagnostic testing in myasthenia
Myasthenia gravis (MG) and congenital myasthenic syndromes (CMS) are a group of disorders with a well characterised autoimmune or genetic and neurophysiological basis. We reviewed the literature from the last 20 years assessing the utility of various neurophysiological, immunological, provocative an...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119875/ https://www.ncbi.nlm.nih.gov/pubmed/35142871 http://dx.doi.org/10.1007/s00415-022-10986-3 |
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author | Yoganathan, Katie Stevenson, Alexander Tahir, Awais Sadler, Ross Radunovic, Aleksandar Malek, Naveed |
author_facet | Yoganathan, Katie Stevenson, Alexander Tahir, Awais Sadler, Ross Radunovic, Aleksandar Malek, Naveed |
author_sort | Yoganathan, Katie |
collection | PubMed |
description | Myasthenia gravis (MG) and congenital myasthenic syndromes (CMS) are a group of disorders with a well characterised autoimmune or genetic and neurophysiological basis. We reviewed the literature from the last 20 years assessing the utility of various neurophysiological, immunological, provocative and genetic tests in MG and CMS. Diagnostic sensitivity of repetitive nerve stimulation test ranges between 14 and 94% and specificity between 73 and 100%; sensitivity of single-fibre EMG (SFEMG) test ranges between 64 and 100% and specificity between 22 and 100%; anti-acetylcholine receptor (AChR) antibody sensitivity ranges from 13 to 97% and specificity ranges from 95 to 100%. Overall, SFEMG has the highest sensitivity while positive anti-AChR antibodies have the highest specificity. Newer testing strategies that have been investigated over the last couple of decades include ocular vestibular-evoked myogenic potentials, otoacoustic emissions and disease-specific circulating miRNAs in serum for autoimmune myasthenia, as well as next-generation sequencing for genetic testing of CMS. While there has been significant progress in developing newer testing strategies for diagnosing MG and CMS over the last couple of decades, more research is needed to assess the utility of these newer tools regarding their sensitivity and specificity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00415-022-10986-3. |
format | Online Article Text |
id | pubmed-9119875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-91198752022-05-21 Bedside and laboratory diagnostic testing in myasthenia Yoganathan, Katie Stevenson, Alexander Tahir, Awais Sadler, Ross Radunovic, Aleksandar Malek, Naveed J Neurol Neurological Update Myasthenia gravis (MG) and congenital myasthenic syndromes (CMS) are a group of disorders with a well characterised autoimmune or genetic and neurophysiological basis. We reviewed the literature from the last 20 years assessing the utility of various neurophysiological, immunological, provocative and genetic tests in MG and CMS. Diagnostic sensitivity of repetitive nerve stimulation test ranges between 14 and 94% and specificity between 73 and 100%; sensitivity of single-fibre EMG (SFEMG) test ranges between 64 and 100% and specificity between 22 and 100%; anti-acetylcholine receptor (AChR) antibody sensitivity ranges from 13 to 97% and specificity ranges from 95 to 100%. Overall, SFEMG has the highest sensitivity while positive anti-AChR antibodies have the highest specificity. Newer testing strategies that have been investigated over the last couple of decades include ocular vestibular-evoked myogenic potentials, otoacoustic emissions and disease-specific circulating miRNAs in serum for autoimmune myasthenia, as well as next-generation sequencing for genetic testing of CMS. While there has been significant progress in developing newer testing strategies for diagnosing MG and CMS over the last couple of decades, more research is needed to assess the utility of these newer tools regarding their sensitivity and specificity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00415-022-10986-3. Springer Berlin Heidelberg 2022-02-10 2022 /pmc/articles/PMC9119875/ /pubmed/35142871 http://dx.doi.org/10.1007/s00415-022-10986-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Neurological Update Yoganathan, Katie Stevenson, Alexander Tahir, Awais Sadler, Ross Radunovic, Aleksandar Malek, Naveed Bedside and laboratory diagnostic testing in myasthenia |
title | Bedside and laboratory diagnostic testing in myasthenia |
title_full | Bedside and laboratory diagnostic testing in myasthenia |
title_fullStr | Bedside and laboratory diagnostic testing in myasthenia |
title_full_unstemmed | Bedside and laboratory diagnostic testing in myasthenia |
title_short | Bedside and laboratory diagnostic testing in myasthenia |
title_sort | bedside and laboratory diagnostic testing in myasthenia |
topic | Neurological Update |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119875/ https://www.ncbi.nlm.nih.gov/pubmed/35142871 http://dx.doi.org/10.1007/s00415-022-10986-3 |
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