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Table 4 Variables associated with intensity of proteinuria in the linear regression analysis

From: Assessment of serum macrophage migration inhibitory factor (MIF), adiponectin, and other adipokines as potential markers of proteinuria and renal dysfunction in lupus nephritis: a cross-sectional study

 

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

 
  1. 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
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Biomarker Research

ISSN: 2050-7771

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