BMC Research Notes

Table 4 Predictor variables identified by multiple linear regression analysis in the C1 group data

From: Evaluation of oxidative stress biomarkers in patients with chronic renal failure: a case control study

Biomarker			Biomarker			Biomarker
Dependent	Predictor	R²	Dependent	Predictor	R²	Dependent	Predictor	R²
TS-GST	%TS-GST	0.927	TBARS p	%TS-GST	0.538	GSH e	GSSG/GSHe	0.716
	T-GST			TBARS e			GSSG e
	TBARS p			GR			TBARS p
	GSH p			GPx			GSSG p
				GSH e
%TS-GST	TS-GST	0.913	TBARS e	TBARS p	0.261	GSSG/GSH p	GSH p	0.681
	T-GST			TS-GST			GSSG p
	TBARS p			GSSG/GSH e			TBARS e
	GSH p			SOD
T-GST	TS-GST	0.775				GSH p	GSSG/GSH p	0.624
	%TS-GST						GR
	GSH p						GSSG e
GPx	TBARS p	0.223	GR	TBARS p	0.248	GSSG p	GSSG/GSH p	0.382
	CAT			GPx			GSSG e
	HT						TBARS e

Correlation between the observed and predicted values of the dependent variable, multiple correlation coefficient (R2) for the biomarkers of oxidative stress. Multiple linear regression analysis using the "stepwise" procedure; "e" and "p" are measurements performed in erythrocytes and plasma, respectively

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ISSN: 1756-0500

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