Table 2 Multivariate logistic regression models: correlation between basal characteristics and outcome with and without serum C3 and C4.

From: Role of serum complement C3 and C4 on kidney outcomes in IgA nephropathy

Characteristic

Model 1

Model 2

OR

95% CI

p-value

OR

95% CI

p-value

Age at biopsy (years)

0.99

0.94, 1.05

0.892

1.00

0.93, 1.06

0.957

Sex (M/F)

2.85

0.45, 17.7

0.261

2.11

0.19, 11.1

0.720

SBP (mmHg)

0.97

0.92, 1.01

0.394

0.98

0.92, 1.05

0.651

eGFR (ml/min/1.73m2)

0.95

0.92, 0.99

0.006

0.96

0.93, 0.99

0.046

uProt (g/24 h)

1.39

1.08, 1.79

0.008

1.51

1.10, 2.06

0.009

C3 (mg/dL)

   

0.94

0.89, 0.94

0.029

C4 (mg/dL)

   

1.12

1.01, 1.25

0.031

AIC

64.1

  

54.9

  

BIC

81.3

  

75.2

  

C-index

0.63

  

0.73

 

 < 0.001

NR2

0.50

  

0.67

  

LRT

0.003

     
  1. SBP systolic blood pressure, eGFR estimated glomerular filtration rate, uProt urinary protein, OR odds ratio, CI confidential interval, AIC Akaike information criterion, BIC Bayesian information criterion, NR2 Nagelkerke R2, LRT likelihood ratio test.
  2. Significant values are given in bold.
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