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...

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Published in:Journal of Clinical Medicine
Main Authors: Toru Sasaki, Takafumi Koyama, Tomoyuki Kuroiwa, Akimoto Nimura, Atsushi Okawa, Yoshiaki Wakabayashi, Koji Fujita
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
DML
Online Access:https://doi.org/10.3390/jcm11061685
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spelling ftmdpi:oai:mdpi.com:/2077-0383/11/6/1685/ 2023-08-20T04:06:09+02:00 Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome Toru Sasaki Takafumi Koyama Tomoyuki Kuroiwa Akimoto Nimura Atsushi Okawa Yoshiaki Wakabayashi Koji Fujita 2022-03-18 application/pdf https://doi.org/10.3390/jcm11061685 EN eng Multidisciplinary Digital Publishing Institute Orthopedics https://dx.doi.org/10.3390/jcm11061685 https://creativecommons.org/licenses/by/4.0/ Journal of Clinical Medicine; Volume 11; Issue 6; Pages: 1685 carpal tunnel syndrome nerve conduction study median nerve electrophysiological severity classification Text 2022 ftmdpi https://doi.org/10.3390/jcm11061685 2023-08-01T04:29:48Z 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. Text DML MDPI Open Access Publishing Journal of Clinical Medicine 11 6 1685
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic carpal tunnel syndrome
nerve conduction study
median nerve
electrophysiological severity classification
spellingShingle carpal tunnel syndrome
nerve conduction study
median nerve
electrophysiological severity classification
Toru Sasaki
Takafumi Koyama
Tomoyuki Kuroiwa
Akimoto Nimura
Atsushi Okawa
Yoshiaki Wakabayashi
Koji Fujita
Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome
topic_facet carpal tunnel syndrome
nerve conduction study
median nerve
electrophysiological severity classification
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 Text
author Toru Sasaki
Takafumi Koyama
Tomoyuki Kuroiwa
Akimoto Nimura
Atsushi Okawa
Yoshiaki Wakabayashi
Koji Fujita
author_facet Toru Sasaki
Takafumi Koyama
Tomoyuki Kuroiwa
Akimoto Nimura
Atsushi Okawa
Yoshiaki Wakabayashi
Koji Fujita
author_sort Toru Sasaki
title 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_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_sort evaluation of the existing electrophysiological severity classifications in carpal tunnel syndrome
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/jcm11061685
genre DML
genre_facet DML
op_source Journal of Clinical Medicine; Volume 11; Issue 6; Pages: 1685
op_relation Orthopedics
https://dx.doi.org/10.3390/jcm11061685
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/jcm11061685
container_title Journal of Clinical Medicine
container_volume 11
container_issue 6
container_start_page 1685
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