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)