Table 5 Logistic regression analysis on the disease activity in RA patients.

From: Plasma fibrinogen, d-dimer, and fibrin degradation product as biomarkers of rheumatoid arthritis

Predictors

Univariate regression analyses

Multivariate regression analyses

β

OR (95% CI)

P-value

β

OR (95% CI)

P-value

Gender

0.282

1.326 (0.109–16.133)

0.825

   

Age

0.414

0.661 (0.251–1.740)

0.602

   

Duration of RA

0.600

1.823 (0.243–13.673)

0.559

   

ESR

1.170

3.158 (1.018–8.923)

0.135

   

CRP

1.583

4.871 (1.306–11.463)

0.027

0.417

1.518 (0.938–2.457)

0.089

RF

0.367

1.443 (0.438–4.756)

0.547

   

Anti-CCP

0.410

1.043 (0.474–2.293)

0.231

   

FIB

0.969

1.580 (0.785–5.462)

0.282

   

d-dimer

2.931

8.752 (2.198–33.207)

0.012

1.052

2.862 (1.851–5.426)

0.001

FDP

1.268

0.114 (0.015–1.112)

0.093

0.152

0.859 (0.351–2.109)

0.740

  1. OR odds ratio, 95% CI 95% confidence interval, ESR erythrocyte sedimentation rate, CRP C-reactive protein, RF rheumatoid factor, Anti-CCP anti-cyclic citrullinated peptide, FIB fibrinogen, FDP fibrin degradation product.
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