JaLCDOI 10.18926/AMO/49255
FullText URL 67_1_35.pdf
Author Watanabe, Masutaka| Arita, Seizaburo| Hashizume, Hiroyuki| Honda, Mitsugi| Nishida, Keiichiro| Ozaki, Toshifumi|
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 23439507
Web of Sience KeyUT 000316829900005
Related Url http://ousar.lib.okayama-u.ac.jp/metadata/50647