Potential Role of Nutrient Intake and Malnutrition as Predictors of Uremic Oxidative Toxicity in Patients with End-Stage Renal Disease

Table 7

Multiple linear regression model with malondialdehyde (MDA) and protein carbonyl (PCn) as dependent variables.

Variables	coefficient	value
MDA (μg/mol pt) as dependent
CHO (g/kg)	0.0000000410	0.003
Zinc dietary intake (mg/d)	-0.0000000116	0.098
Serum zinc (μg/l)	0.00000000539	0.763
GPx (nmol/[ml/min.])	-0.00000000259	0.127
TAC (mM)	-0.00000132	0.074
npAC (mM)	0.000000690	0.912
	()
PCn (nmol/mg pt) as dependent
CHO dietary intake (g/kg/d)	8.075	<0.004
Zinc dietary intake (mg/d/d)	-2.460	0.094
Serum zinc (μg/l)	0.916	0.807
GPx (nmol/[ml/min.])	-0.532	0.136
TAC (mM)	-312.209	0.045
npAC (mM)	48.377	0.711
	()

Values adjusted by the residual method. CHO: carbohydrate; GPx: glutathione peroxidase; TAC: total antioxidant capacity; npAC: nonprotein antioxidant capacity. Equations obtained from multiple linear regression analysis: . . values in bold indicate statistical significance for individual predictors in the regression models ().