Table 4.

Multivariable linear regression analysis to identify independent predictors of change in OKS, SF-12 PCS and MCS 1 year after TKA

Model	Variable	R 2	B	95% CI		p value
				Lower	Upper
Change in OKS	Excellent	0.38	Reference
	Very good		−2.51	−3.30	−1.72	<0.001
	Good		−5.51	−6.48	−4.53	<0.001
	Fair		−8.92	−10.26	−7.57	<0.001
	Poor		−10.13	−11.98	−8.27	<0.001
Change in SF-12 PCS	Excellent	0.44	Reference
	Very good		−2.13	−3.00	−1.72	<0.001
	Good		−4.93	−6.00	−3.97	<0.001
	Fair		−6.53	−8.00	−5.07	<0.001
	Poor		−5.92	−8.00	−3.84	<0.001
Change in SF-12 MCS	Excellent	0.59	Reference
	Very good		−1.18	−2.02	−034	0.006
	Good		−3.21	−4.30	−2.13	<0.001
	Fair		−6.33	−7.79	4.86	<0.001
	Poor		−5.82	−7.81	−3.82	<0.001

All variables (in Table 1) were entered into each model using “enter” methodology