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Ann Rheum Dis 1997;56:682-685 doi:10.1136/ard.56.11.682
  • Concise reports

Autoantibodies predicting the outcome of rheumatoid arthritis: evaluation in two subsets of patients according to severity of radiographic damage

  1. O Meyera,
  2. B Combeb,
  3. A Eliasc,
  4. K Benalid,
  5. J Clote,
  6. J Sanyb,
  7. J F Eliaoue
  1. aDepartment of Rheumatology and Immuno-rheumatology Laboratory, Bichat Hospital, Paris, France, bDepartment of Rheumatology, Lapeyronie Hospital and INSERM U 291, Montpellier, France, cDepartment of Haemobiology, Bichat Hospital, Paris, France, dLaboratory of Biostatistics and Computer Science, Robert Debre Hospital, Paris, France, eLaboratory of Immunology and INSERM U291, Saint Eloi Hospital, Montpellier, France
  1. Dr O Meyer, Department of Rheumatology, Bichat Hospital, 46 rue Henri Huchard, 75018 Paris, France.
  • Accepted 29 July 1997

Abstract

OBJECTIVE Autoantibodies such as rheumatoid factor (RF), antikeratin antibodies (AKA), antiperinuclear factor (APF), and anti-RA 33 antibodies are considered of value for the diagnosis of RA. The purpose of this study was to evaluate these autoantibodies as predictors of severe radiographic damage in rheumatoid arthritis (RA).

PATIENTS AND METHODS Eighty six patients with RA (70 women, 16 men) fulfilling 1987 ACR criteria were selected from a cohort of 469 patients followed up since the first year of RA onset because they could be divided in two groups according to the severity of the radiographic damage. These 86 patients had a mean (SD) disease duration of eight (four) years: 43 patients had severe radiographic damage (Larsen score ≥2) and 43 had limited radiographic damage (Larsen score < 2). The two groups were matched by disease duration and sex. The following autoantibodies were looked for: RF, ANA, AKA, APF, and anti-RA 33 antibodies. In addition, HLA class II DR β alleles and standard inflammatory parameters (erythrocyte sedimentation rate, C reactive protein) were determined.

RESULTS Patients with severe radiographic damage differed from those with limited radiographic damage in that they had higher RF (p=0.01), APF (p<0.02), and AKA (p=0.001) titres. Stepwise regression analysis was done to calculate the odds ratios (OR) for each clinical and laboratory variable; only presence of cutaneous nodules (OR: 14.9; 95% CI: 7, 128), HLA DRB1*04 or DRB1*01 (OR: 7.53; 95% CI: 1.32, 42.9), AKA (OR: 3.11; 95%, CI: 0.58, 16.8 ), a high erthrocyte sedimentation rate (OR: 2.66; 95% CI: 0.60, 11.9), and a high C reactive protein value (OR: 7.4; 95% CI : 1.43, 38.1) were predictive of severe radiographic damage.

CONCLUSION These data suggest that the risk of severe radiographic damage in RA patients is higher when cutaneous nodules, HLA DRB1*04 or DRB1*01, and/or AKA are present. The other autoantibodies of diagnostic significance are of little help for predicting joint destruction.

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