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Table 4 Regression analysis for prediction of RA disease activity

From: A study of the association between Galectin-9 gene (LGALS9) polymorphisms and rheumatoid arthritis in Egyptian patients

 

Univariable

Multivariable

p

OR

95% CI

p

OR

95% CI

Age

0.157

(NS)

0.977

0.947

1.009

    

Gender

0.508

(NS)

1.361

0.546

3.393

    

Family history

0.894

(NS)

0.942

0.388

2.285

    

Duration

0.335

(NS)

1.027

0.973

1.084

    

NTJ

 < 0.001

(HS)

2.195

1.638

2.941

 < 0.001

(HS)

2.458

1.560

3.872

NSJ

 < 0.001

(HS)

2.145

1.587

2.900

0.006

(S)

1.882

1.201

2.948

ESR

 < 0.001

(HS)

1.039

1.019

1.059

0.185

2.959

.465

5.841

CRP titer

0.129

(NS)

1.013

0.996

1.030

    

Anti-CCP-Abs titer

0.101

(NS)

1.010

0.998

1.023

    

RF titer

0.514

(NS)

1.003

0.995

1.011

    

LGALS9 (CT + TT)

0.283

(NS)

0.581

0.215

1.567

    

Galectin-9 serum level

 < 0.001

(HS)

0.983

0.974

0.992

0.004

(S)

0.943

0.914

0.974

  1. OR odds ratio, CI confidence interval, P probability, NS non-significant P (> 0.05), S significant P (≤ 0.05), HS highly significant P (< 0.001), NTJ number of tender joints, NSJ number of swollen joints, ESR erythrocyte sedimentation rate, CRP C–reactive protein, RF rheumatoid factor, Anti-CCP Abs anti-cyclic citrullinated peptide antibodies, LGALS9 Galectin-9 gene