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Table 6 Multinomial logistic regression modelb for the association of critical-shoulder-angle and age of major shoulder pathologies

From: Critical shoulder angle combined with age predict five shoulder pathologies: a retrospective analysis of 1000 cases

   OR (95% CI)a P value
Cuff tear arthropathy (CTA) CSA 2.62 (2.07 to 3.31) <0.001
  age 1.52 (1.42 to 1.63) <0.001
Glenohumeral osteoarthritis (OA) CSA 0.87 (0.75 to 1.01) 0.060
  age 1.26 (1.19 to 1.34) <0.001
Rotator cuff tear (RCT) CSA 2.77 (2.22 to 3.47) <0.001
  age 1.30 (1.23 to 1.38) <0.001
Impingement (IM) CSA 2.38 (1.93 to 2.93) <0.001
  age 1.12 (1.07 to 1.18) <0.001
  1. Abbreviations: OR, odds ratio; CI, confidence interval; CSA, critical shoulder angle
  2. aThe reference category was tendinitis calcarea (TC)
  3. bThe model yielded in the overall test of relationship (model fitting to raw data) an excellent Chi2 of 851.8 (degrees of freedom = 8, p < 0.001), an overall classification accuracy of 64.8%, and a strength (Pseudo R2) according to Cox und Snell of 0.818, Nagelkerke of 0.852, McFadden of 0.529