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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