Table 4.

Variables associated with intensity of proteinuria in the linear regression analysis

	Proteinuria g/day
	Univariable analysis		Multivariable analysis
Independent Variables	β coefficient (IC 95%)	p	β coefficient (IC 95%)	p
GCs (mg/day)	0.07 (0.05 to 0.08)	< 0.001	0.05 (0.04 to 0.08)	< 0.001
Adiponectin levels (μg/mL)	0.09 (0.06 to 0.11)	< 0.001	0.05 (0.02 to 0.07)	0.001
MIF (ng/mL)	−0.04 (− 0.08 to − 0.01)	0.02	− 0.04 (− 0.07 to − 0.01)	0.005
Age (years)	−0.05 (− 0.07 to − 0.03)	< 0.001	−0.03 (− 0.05 to – 0.01)	0.011
Leptin, ng/mL	−0.00 (− 0.01 to 0.01)	0.70	Not significant to the model
Resistin, ng/mL	0.03 (−0.02 to 0.09)	0.30	Not significant to the model
Immunosuppressive drugs	–0.51 (-1.13 to 0.12)	0.12	Not significant to the model

Dependent variable: quantity total of 24-h proteinuria. Multiple regression analysis was performed using stepwise method. Model was adjusted by disease duration, age, adiponectin, MIF, leptin, resistin, Glucocorticoid doses expressed as equivalent of prednisone doses (GCs) and using of immunosuppressive therapy. R² for multivariable model was 0.41. Adjusted R² for multivariable model was 0.40. Covariates included in this analysis were those variables with statistical significance in the univariate analysis or were considered with biological plausibility to proteinuria