Table 3.

Logistic regression for predictive factors of non-readmission complications

Logistic regression for complications in patients undergoing primary total shoulder arthroplasty (N=12,982)
Variable		OR	95% CI	P value
Age
	Age <60	1 (Reference)	-	-
	Age 60-69	0.98	0.7-1.3	0.916
	Age 70-79	1.4	1.1-1.9	0.019
	Age ≥80	2.3	1.7-3.2	<0.001
BMI
	<18.5	1 (Reference)
	18.5-24.9	0.9	0.5-1.8	0.859
	25-29.9	0.7	0.4-1.3	0.267
	30-34.9	0.7	0.4-1.3	0.272
	35-39.9	0.6	0.3-1.1	0.088
	≥40	0.5	0.3-1.0	0.052
ASA Class
	1	1 (Reference)	-	-
	2	1.9	0.7-5.7	0.231
	3	3.6	1.2-10.5	0.021
	4	8.5	2.8-26.0	<0.001
Female		1.6	1.3-1.9	<0.001
Diabetes		1.1	0.9-1.4	0.251
CHF*		0.9	0.3-2.2	0.819
Renal Failure		6.3	1.3-31.0	0.024
Bleeding Disorder		2.1	1.5-3.0	<0.001
Dependent Functional Status		1.8	1.3-2.5	<0.001

* Congestive heart failure