JaLCDOI 10.18926/AMO/56371
FullText URL 72_6_547.pdf
Author Watanabe, Akihisa| Ono, Qana| Nishigami, Tomohiko| Hirooka, Takahiko| Machida, Hirohisa|
Abstract Distinct anatomic variants of the scapula such as the critical shoulder angle (CSA) were found to be associated with rotator cuff tears (RCTs), but it is unclear whether the CSA is a risk factor in Japanese. Here we sought to determine whether the CSA is associated with RCTs in a Japanese population, and whether the CSA is a more useful parameter than the conventionally used parameters. Our RCT group and non-RCT group each consisted of 54 consecutive cases. We compared the groups’ values of CSA, the acromion index (AI), and the lateral acromion angle (LAA) obtained by X-ray imaging. Receiver operating characteristic (ROC) analyses were performed to determine cutoff values and the area under the curve (AUC), and to assess the odds ratio. The means of the CSA and the AI in the RCT group were significantly larger (36.3° vs. 33.7°, 0.74 vs 0.68), but the LAA did not show a significant between-group difference. The AUCs for the CSA and AI were 0.678 and 0.658, the cutoff values were 35.0° and 0.72, and the odds ratios were 3.1 and 2.5, respectively. In conclusion, the CSA was a strong risk factor compared to the AI and LAA for rotator cuff tears.
Keywords rotator cuff tear risk factor critical shoulder angle acromion index lateral acromion angle
Amo Type Original Article
Published Date 2018-12
Publication Title Acta Medica Okayama
Volume volume72
Issue issue6
Publisher Okayama University Medical School
Start Page 547
End Page 551
ISSN 0386-300X
NCID AA00508441
Content Type Journal Article
language 英語
Copyright Holders CopyrightⒸ 2018 by Okayama University Medical School
File Version publisher
Refereed True
PubMed ID 30573908
NAID 120006545156
JaLCDOI 10.18926/AMO/55665
FullText URL 72_1_67.pdf
Author Watanabe, Akihisa| Ono, Qana| Nishigami, Tomohiko| Hirooka, Takahiko| Machida, Hirohisa|
Abstract It has been unclear whether the risk factors for rotator cuff tears are the same at all ages or differ between young and older populations. In this study, we examined the risk factors for rotator cuff tears using classification and regression tree analysis as methods of nonlinear regression analysis. There were 65 patients in the rotator cuff tears group and 45 patients in the intact rotator cuff group. Classification and regression tree analysis was performed to predict rotator cuff tears. The target factor was rotator cuff tears; explanatory variables were age, sex, trauma, and critical shoulder angle≥35°. In the results of classification and regression tree analysis, the tree was divided at age 64. For patients aged≥64, the tree was divided at trauma. For patients aged<64, the tree was divided at critical shoulder angle≥35°. The odds ratio for critical shoulder angle≥35° was significant for all ages (5.89), and for patients aged<64 (10.3) while trauma was only a significant factor for patients aged≥64 (5.13). Age, trauma, and critical shoulder angle≥35° were related to rotator cuff tears in this study. However, these risk factors showed different trends according to age group, not a linear relationship.
Keywords rotator cuff tears risk factor critical shoulder angle trauma classification and regression tree analysis
Amo Type Original Article
Published Date 2018-02
Publication Title Acta Medica Okayama
Volume volume72
Issue issue1
Publisher Okayama University Medical School
Start Page 67
End Page 72
ISSN 0386-300X
NCID AA00508441
Content Type Journal Article
language 英語
Copyright Holders CopyrightⒸ 2018 by Okayama University Medical School
File Version publisher
Refereed True
PubMed ID 29463941