Table 2 Univariate and multivariate logistic regression models using ECA signal and established risk factors to predict renal outcome.

From: Novel urinary glycan profiling by lectin array serves as the biomarkers for predicting renal prognosis in patients with IgA nephropathy

 

Univariate

Multivariate

Stepwise model

Model 1

Model 2

Model 3

Model 4

OR

P

OR

P

OR

P

OR

P

OR

P

OR

P

ECA (Net glycan intensity) (1 SD increments)

3.00

0.0016

3.48

0.001

2.84

0.03

2.69

0.04

2.66

0.04

2.67

0.05

Age (years)

1.03

0.06

1.05

0.01

1.05

0.01

1.05

0.02

1.05

0.03

1.06

0.01

Sex

1.62

0.27

  

1.72

0.27

1.63

0.33

1.57

0.37

1.90

0.21

eGFR (mL/min/1.73 m2)

1.00

0.74

1.03

0.01

1.04

0.01

1.03

0.01

1.04

0.01

1.07

0.0003

UP (g/day)

1.62

0.02

  

1.23

0.48

1.26

0.43

1.16

0.63

1.13

0.69

IgA (mg/dL)

1.00

0.05

    

1.00

0.37

    

SBP (mmHg)

1.04

0.01

      

1.02

0.19

  

T score

   T1

1.62

0.35

        

5.53

0.03

   T2

5.00

0.02

        

22.77

0.01

  1. Independent variables are as follow; Stepwise Model: ECA + Age + Sex + eGFR + UP; Model 1: ECA + Age + Sex + eGFR + UP; Model 2: ECA + Age + Sex + eGFR + UP + IgA; Model 3: ECA + Age + Sex + eGFR + UP + SBP; Model 4: ECA + Age + Sex + eGFR + UP + T score.
  2. ECA, Erythrina cristagalli lectin; eGFR, estimated glomerular filtration rate; UP, urinary protein; SBP, systolic blood pressure; SD, standard deviation; OR, Odds ratio; P, P-value.