Table 3.

Univariate and multivariate logistic regression of combined biomarker score and some baseline predictors of low DAS28 at 3 months.

VariablesUnivariateMultivariate
OR95% CIOR95% CI
RF-positivea1.330.79–2.241.350.71–2.57
Anti-CCP–positive1.310.79–2.181.650.87–3.14
Sex, male2.821.67–4.761.760.88–3.50
Age (per yr increase)1.031.01–1.051.031.01–1.05
Current smoking (yes)0.920.50–1.690.780.38–1.64
HAQ (per unit increase)0.360.23–0.570.380.22–0.65
Combined biomarker score (per unit increase)b0.400.29–0.550.430.29–0.65
Results after stepwise logistic regression analysis
  Sex, male1.640.90–2.98
  Age (per yr increase)1.031.01–1.05
  HAQ (per unit increase)0.350.22–0.58
  Combined biomarker score (per unit increase)0.440.31–0.63
  • Values in bold face are statistically significant.

  • a RF was excluded from multivariate model because of its collinearity with anti-CCP.

  • b OR for the combined biomarker score in univariate analysis indicates that for each unit increase, the odds of achievement of LDA decrease by 60%. Similarly, in multivariate model, after considering for other predictors (anti-CCP, sex, age and smoking), the odds of LDA decrease by 56% for each unit increase in the combined biomarker score. RF: rheumatoid factor; anti-CCP: anticyclic citrullinated peptide; HAQ: Health Assessment Questionnaire; DAS28: 28-joint count Disease Activity Score; LDA: low disease activity.