Interplay between Superoxide Dismutase, Glutathione Peroxidase, and Peroxisome Proliferator Activated Receptor Gamma Polymorphisms on the Risk of End-Stage Renal Disease among Han Chinese Patients

Table 5

Multivariate analysis of the predictors of dialysis by fitting multiple logistic regression model with the stepwise variable selection method, including SOD2 and GPX1 polymorphisms^#.

Covariates	Regression coefficient	Standard error	value	value	Odds ratio	95% confidence interval
Intercept				<0.001	—	—	—
Age (between 28 and 65)				<0.001	4.847	3.801	6.180
Male				0.040	0.777	0.611	0.988
DM				<0.001	5.792	4.035	8.316
Non-DM × SOD2 exon 2 TT				0.018	0.699	0.520	0.939

Multiple logistic regression model: , adjusted generalized , estimated area under the receiver operating characteristic (ROC) curve = 0.762, and the Hosmer and Lemeshow goodness-of-fit chi-square test (df = 8).
^#Variables with odds ratio (OR) of extreme values were listed below: DM × SOD2 exon 2 CC, OR 3.6 × 10⁵ ().