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

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

		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

Abbreviations: OR, odds ratio; CI, confidence interval; CSA, critical shoulder angle
^aThe reference category was tendinitis calcarea (TC)
^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