Table 2.

Simple Logistic Regression Analysis for identifying predictors of early revision.

Predictors	B	OR	P	OR 95% CI
Gendera	0.19	1.21	0.64	[0.53, 2.75]
BMI	0.01	1.01	0.89	[0.93, 1.09]
Age	−0.52	0.59	0.01*	[0.39, 0.88]
Pain rest (VAS)	0.01	1.01	0.35	[0.99, 1.03]
Pain activity (VAS)	0.01	1.01	0.52	[0.99, 1.03]
Diabetes mellitusb	−0.15	0.85	0.73	[0.34, 2.10]
Previous surgery in same kneec	0.53	1.70	0.22*	[0.73, 3.98]
OKS score 0-100	−0.04	0.96	0.02*	[0.93, 0.99]
EQ-5D index	−2.53	0.08	0.01*	[0.01, 0.55]
Length of stay	0.22	1.25	0.05*	[1.00, 1.57]
Duration of surgery	0.02	1.02	0.01*	[1.00, 1.03]
Number of comorbidities	0.08	1.09	0.16*	[0.97, 1.22]

Table 2 – Simple Logistic Regression analysis for identifying predictors of early revision. B = regression beta coefficients; OR = odds ratio; CI = confidence intervals. P = p-value. *P < 0.25.

^aMale = 1; female = 0.

^bYes = 1; no = 0.

^cNo = 1; yes = 0.