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Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome
Electrophysiological examination is important for the diagnosis and evaluation of nerve function in carpal tunnel syndrome (CTS). Electrophysiological severity classifications of CTS using a nerve conduction study (NCS) have been reported, and there are many reports on the relationship between sever...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950957/ https://www.ncbi.nlm.nih.gov/pubmed/35330012 http://dx.doi.org/10.3390/jcm11061685 |
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author | Sasaki, Toru Koyama, Takafumi Kuroiwa, Tomoyuki Nimura, Akimoto Okawa, Atsushi Wakabayashi, Yoshiaki Fujita, Koji |
author_facet | Sasaki, Toru Koyama, Takafumi Kuroiwa, Tomoyuki Nimura, Akimoto Okawa, Atsushi Wakabayashi, Yoshiaki Fujita, Koji |
author_sort | Sasaki, Toru |
collection | PubMed |
description | Electrophysiological examination is important for the diagnosis and evaluation of nerve function in carpal tunnel syndrome (CTS). Electrophysiological severity classifications of CTS using a nerve conduction study (NCS) have been reported, and there are many reports on the relationship between severity classifications and clinical symptoms. The existing electrophysiological severity classifications have several problems, such as cases that do not fit into a classification and unclear reasons for the boundary value. The purpose of this study was to clarify the relationship between sensory nerve conduction velocity (SCV) and distal motor latency (DML) and to evaluate whether the existing severity classification method is appropriate. We created a scatter diagram between SCV and DML for our NCSs and found a negative correlation between SCV and DML (correlation coefficient, −0.786). When we applied our NCSs to the existing classifications (Padua and Bland classifications), there were many unclassifiable cases (15.2%; Padua classification), and the number of Grade 3 cases was significantly higher than that of Grade 2 or 4 cases (Bland classification). Our large dataset revealed a strong negative correlation between SCV and DML, indicating that the existing severity classifications do not always accurately reflect the severity of the disease. |
format | Online Article Text |
id | pubmed-8950957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89509572022-03-26 Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome Sasaki, Toru Koyama, Takafumi Kuroiwa, Tomoyuki Nimura, Akimoto Okawa, Atsushi Wakabayashi, Yoshiaki Fujita, Koji J Clin Med Article Electrophysiological examination is important for the diagnosis and evaluation of nerve function in carpal tunnel syndrome (CTS). Electrophysiological severity classifications of CTS using a nerve conduction study (NCS) have been reported, and there are many reports on the relationship between severity classifications and clinical symptoms. The existing electrophysiological severity classifications have several problems, such as cases that do not fit into a classification and unclear reasons for the boundary value. The purpose of this study was to clarify the relationship between sensory nerve conduction velocity (SCV) and distal motor latency (DML) and to evaluate whether the existing severity classification method is appropriate. We created a scatter diagram between SCV and DML for our NCSs and found a negative correlation between SCV and DML (correlation coefficient, −0.786). When we applied our NCSs to the existing classifications (Padua and Bland classifications), there were many unclassifiable cases (15.2%; Padua classification), and the number of Grade 3 cases was significantly higher than that of Grade 2 or 4 cases (Bland classification). Our large dataset revealed a strong negative correlation between SCV and DML, indicating that the existing severity classifications do not always accurately reflect the severity of the disease. MDPI 2022-03-18 /pmc/articles/PMC8950957/ /pubmed/35330012 http://dx.doi.org/10.3390/jcm11061685 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sasaki, Toru Koyama, Takafumi Kuroiwa, Tomoyuki Nimura, Akimoto Okawa, Atsushi Wakabayashi, Yoshiaki Fujita, Koji Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
title | Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
title_full | Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
title_fullStr | Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
title_full_unstemmed | Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
title_short | Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
title_sort | evaluation of the existing electrophysiological severity classifications in carpal tunnel syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950957/ https://www.ncbi.nlm.nih.gov/pubmed/35330012 http://dx.doi.org/10.3390/jcm11061685 |
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