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ID 49255
JaLCDOI
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Thumnail 67_1_35.pdf 836 KB
Author
Watanabe, Masutaka
Arita, Seizaburo
Hashizume, Hiroyuki
Honda, Mitsugi
Nishida, Keiichiro Kaken ID publons researchmap
Abstract
The purpose of this study was to quantitatively evaluate Akahori's preoperative classification of cubital tunnel syndrome. We analyzed the results for 57 elbows that were treated by a simple decompression procedure from 1997 to 2004. The relationship between each item of Akahori's preoperative classification and clinical stage was investigated based on the parameter distribution. We evaluated Akahori's classification system using multiple regression analysis, and investigated the association between the stage and treatment results. The usefulness of the regression equation was evaluated by analysis of variance of the expected and observed scores. In the parameter distribution, each item of Akahori's classification was mostly associated with the stage, but it was difficult to judge the severity of palsy. In the mathematical evaluation, the most effective item in determining the stage was sensory conduction velocity. It was demonstrated that the established regression equation was highly reliable (R=0.922). Akahori's preoperative classification can also be used in postoperative classification, and this classification was correlated with postoperative prognosis. Our results indicate that Akahori's preoperative classification is a suitable system. It is reliable, reproducible and well-correlated with the postoperative prognosis. In addition, the established prediction formula is useful to reduce the diagnostic complexity of Akahori's classification.
Keywords
cubital tunnel syndrome
ulnar nerve
Akahoriʼs classification
multiple regression analysis
Amo Type
Original Article
Published Date
2013-02
Publication Title
Acta Medica Okayama
Volume
volume67
Issue
issue1
Publisher
Okayama University Medical School
Start Page
35
End Page
44
ISSN
0386-300X
NCID
AA00508441
Content Type
Journal Article
language
英語
Copyright Holders
CopyrightⒸ 2013 by Okayama University Medical School
File Version
publisher
Refereed
True
PubMed ID
Web of Science KeyUT
Related Url
http://ousar.lib.okayama-u.ac.jp/metadata/50647