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. 2022 Oct 12;14(4):593–602. doi: 10.4055/cios22073

Table 7. Multinomial Regression Analysis of the Acromial Morphology for RCT Size.

Multinomial logistic regression OR (95% CI) p-value
Small-to-medium (ref. massive)
LAA 0.99 (0.92–1.06) 0.663
CSA 0.89 (0.76–1.04) 0.132
AT 1.10 (0.99–1.23) 0.078
APCI 1.17 (0.60–2.26) 0.649
AHI 3.37 (2.42–4.69) < 0.001*
Anterior glenoid coverage 1.017 (0.95–1.09) 0.647
Large (ref. massive)
LAA 0.94 (0.87–1.00) 0.057
CSA 0.84 (0.73–0.98) 0.022*
AT 1.05 (0.95–1.16) 0.366
APCI 1.20 (0.63–2.27) 0.577
AHI 1.72 (1.32–2.24) < 0.001*
Anterior glenoid coverage 1.04 (0.97–1.12) 0.246

RCT: rotator cuff tear, OR: odds ratio, CI: confidence interval, LAA: lateral acromial angle, CSA: critical shoulder angle, AT: acromial tilt, APCI: anteroposterior coverage index, AHI: acromiohumeral interval.

*Statistically significant. According to the classification by Beeler et al.5)