Table 4

Multivariate analysis of variables associated with 1 year RRP

OR95% CIp Value
Model 1: assessing anti-CCP2
AUC 0.6496 (95% CI 0.5979 to 0.7003)
 Anti-CCP2 positivity2.151.43 to 3.21<0.001
 CRP level (>10 mg/L)1.731.15 to 2.580.007
 Erosions at baseline1.501.00 to 2.250.049
Model 2: assessing anti-MCV
AUC 0.6304 (95% CI 0.5784 to 0.6825)
 Anti-MCV positivityDiscarded during logistic regression
 RF positivity2.121.40 to 3.20<0.001
 CRP level (>10 mg/L)1.801.21 to 2.670.004
Model 3: assessing AhFibA
AUC 0.6536 (95% CI 0.6018 to 0.7055)
 AhFibA positivity2.391.57 to 3.63<0.001
 CRP level (>10 mg/L)1.681.13 to 2.510.011
 Age at RA onset1.021.00 to 1.040.031
Model 4: assessing high ACPA titre (>3N)
AUC 0.6480 (95% CI 0.5958 to 0.7003)
 High anti-CCP2 or AhFibA titresDiscarded during logistic regression
 High anti-MCV titres2.171.45 to 3.24<0.001
 CRP level (>10 mg/L)1.691.13 to 2.530.010
 Erosions at baseline1.501.00 to 2.250.049
  • Models included baseline ACPA status, age, erosive status, CRP level and RF status.

  • ACPA, anticitrullinated peptide antibodies; AhFibA, antihuman citrullinated fibrinogen antibodies; anti-CCP2, anticyclic citrullinated peptides generation 2 antibodies; anti-MCV, antimutated citrullinated vimentine antibodies; AUC, area under (the receiver operating characteristic) curve; CRP, C reactive protein; RA, rheumatoid arthritis; RF, rheumatoid factor; RRP, rapid radiographic progression.