Table 1 Multivariate logistic regression analysis for predicting radiographic progression using conventional risk factors plus urinary protein markers

From: Identification of novel urinary biomarkers for assessing disease activity and prognosis of rheumatoid arthritis

Model

Odds ratio (95% CI)

P-value

Model 1 (Basic model+ORM1, per 1-s.d. increase)

1.27 (0.90–1.79)

0.166

Model 2 (Basic model+ORM2, per 1-s.d. increase)

1.25 (1.01–1.54)

0.044

Model 3 (Basic model+GSN, per 1-s.d. increase)

0.79 (0.59–1.05)

0.101

Model 4 (Basic model+CD14, per 1-s.d. increase)

1.00 (0.99–1.00)

0.501

  1. Abbreviations: CI, confidence interval; GSN, gelsolin; ORM, orosomucoid (α1-acid glycoprotein).
  2. Basic model included age, disease duration, C-reactive protein, anti-cyclic citrullinated peptide antibody positivity and glomerular filtration rate at baseline.
  3. Logistic regression was used to obtain basic model-adjusted odds ratios for the presence of radiographic progression.
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