A Prediction Modeling Based on the Hospital for Special Surgery (HSS) Knee Score for Poor Postoperative Functional Prognosis of Elderly Patients with Patellar Fractures

Table 4

Multivariable regression analyses for independent predictors of HSS knee scores at 6 months postoperatively.

Model	Predictors	Beta	value	Partial	Tolerance	VIF
Multivariable	Age	-0.48	<0.001	0.405	0.889	1.125
	Sarcopenia	-0.42	<0.001	0.173	0.876	1.141
	Albumin	0.14	0.007	0.016	0.938	1.066

Linear regression analysis and forward stepwise variable selection with residual analysis of variance were used to determine if the model had linear trend, independence, normality, and variance congruence. VIF: variance inflation factor.