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Anti-citrullinated peptide antibody: death of the rheumatoid factor?

Simon M Chatfield, Ian P Wicks, Allan D Sturgess and Lynden J Roberts
Med J Aust 2009; 190 (12): 693-695. || doi: 10.5694/j.1326-5377.2009.tb02640.x
Published online: 15 June 2009

Rheumatoid arthritis (RA) is the most common cause of inflammatory arthritis, affecting around 1% of the general population. Untreated, it causes irreversible joint damage and disability in most patients, many of whom are young adults. Clinical features of early RA include symmetrical small joint pain, swelling and morning stiffness, lasting for more than 6 weeks.1 Early treatment with disease-modifying antirheumatic drugs (DMARDs) such as methotrexate prevents joint damage and disability.2 This recently accepted treatment paradigm has placed greater importance on accurate early diagnosis of RA. Misdiagnosis carries risks not only of undertreatment, but also of exposing patients to unnecessary toxicity. The diagnostic pitfalls of the rheumatoid factor (RF) test are well described,1 and a presumptive diagnosis of early RA has been largely based on history, and symmetrical synovitis of small joints on examination. A new assay — the anti-citrullinated peptide antibody (ACPA) test — is now available. Recently reported clinical studies in various populations confirm that the ACPA test has a high specificity. We describe its potential role in the early diagnosis of RA.

The problem with RF

The traditional autoantibody test of choice in RA is the RF test, which has been in clinical use for more than 50 years. This test detects the presence of RF — autoantibodies directed against the constant region (Fc) of the human IgG antibody. RF is included in the current classification criteria for RA.3 A large body of evidence associates positive RF status with various disease outcomes in RA — poorer prognosis, progressive radiological damage, and extra-articular manifestations.1 Nevertheless, the diagnostic utility of RF is compromised by its poor specificity. A false-positive test result may occur in patients with various infections (including hepatitis C), other non-RA autoimmune conditions, and malignancies.1 RF also occurs in about 5% of healthy people, and increases in prevalence with age.4

What is the ACPA test?

ACPAs are quite different autoantibodies to RF. The ACPA test, also known as the anti-cyclic citrullinated peptide (anti-CCP) antibody test, is an enzyme-linked immunosorbent assay that tests for the presence of antibodies that recognise specific antigens containing citrulline.5,6 Citrulline is a non-standard amino acid that is created by enzymatic modification of arginine (a process known as citrullination). The current version of the anti-CCP test has been commercially available since 2000.

Performance characteristics of ACPA and RF tests

There are numerous reports of the characteristics of the ACPA test in cohorts with established RA and early arthritis, as well as in healthy individuals. A recent systematic review7 and a separate meta-analysis8 concluded that the specificity of the ACPA test for RA was 95% (95% CI, 94%–97%), compared with 85% specificity of the RF test for RA. The sensitivities of the two tests for RA were similar — 67% for ACPA and 69% for RF. Similar results were found in an Australian series testing ACPA as a quality assurance exercise in parallel with RF testing in 248 patients, of whom 43 had RA. The sensitivity of the RF test was 74%, and the specificity 77%. With ACPA testing, sensitivity was 81%, and specificity 95% (A D S, unpublished data).

Clinical utility of ACPA and RF tests

A working knowledge of a test’s statistical characteristics is necessary for its rational use in clinical practice. The usefulness of a diagnostic test is efficiently measured by its likelihood ratio (LR), which brings together the information from sensitivity and specificity into a single figure. Understanding LRs is the key to understanding the utility of ACPA and RF tests.

The LR measures the ability of a test to alter the likelihood of a diagnosis. When a test with a large positive LR (LR+) returns a positive result, the post-test probability of the diagnosis will be significantly higher than the pre-test probability — in other words, the diagnosis will be much more likely. When a test has a small LR+ and returns a positive result, the difference between pre-test and post-test probabilities will be small — in other words, the test adds little to the pre-test assessment. The most useful diagnostic tests have an LR+ that is greater than 10, meaning that the post-test odds of diagnosing disease are more than 10 times the pre-test odds when the test returns a positive result. In terms of probability, this corresponds to an approximately 45% absolute increase in the probability of a diagnosis.9

A negative test result may be useful in reducing the chance of diagnosing a disease. The usefulness of such tests is measured by the negative LR (LR ), with the most useful tests having an LR that is less than 0.1. These tests reduce the pre-test odds of diagnosing disease by more than 10-fold. More detailed explanations of LR and its uses are available elsewhere.10

The meta-analysis of the ACPA testing in RA showed that its LR+ was 12.46 (95% CI, 9.72–15.98) and LR was 0.36 (95% CI, 0.31–0.42).8 This suggests that it is a useful test when it returns a positive result. In contrast, the LR+ for the RF test in RA was 4.86 and the LR was 0.38. This suggests that the RF test is sometimes diagnostically useful when it returns a positive result. Based on their respective LR values, neither the ACPA test nor the RF test are useful in RA when they return a negative result (as both have an LR that is greater than 0.1).

Clinical examples

The following examples demonstrate the variable utility of RF and ACPA tests in different clinical situations (see Box). They highlight the importance of determining the pre-test probability of a diagnosis (estimated from the clinical assessment) and how it is affected by the test’s LR. The post-test probability is dependent on these two factors. The treatment decision threshold depends on several factors, and these examples do not take into account the complexities of differential diagnosis.

  • Simon M Chatfield1
  • Ian P Wicks1,2
  • Allan D Sturgess3
  • Lynden J Roberts4

  • 1 Rheumatology Unit, Royal Melbourne Hospital, Melbourne, VIC.
  • 2 Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC.
  • 3 Rheumatology Unit, St George Hospital, Sydney, NSW.
  • 4 Departments of Internal Medicine and Rheumatology, Townsville Hospital, Townsville, QLD.



Competing interests:

None identified.

  • 1. Harris ED Jr, editor. Kelley’s textbook of rheumatology. 7th ed. Philadelphia: Elsevier Science, 2005.
  • 2. Roberts LJ, Cleland LG, Thomas R, Proudman SM. Early combination disease modifying antirheumatic drug treatment for rheumatoid arthritis. Med J Aust 2006; 184: 122-125. <MJA full text>
  • 3. Arnett FC, Edworthy SM, Bloch DA, et al. The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum 1988; 31: 315-324.
  • 4. Litwin SD, Singer JM. Studies of the incidence and significance of anti-gamma globulin factors in the aging. Arthritis Rheum 1965; 8: 538-550.
  • 5. Schellekens GA, de Jong BA, van den Hoogen FH, et al. Citrulline is an essential constituent of antigenic determinants recognized by rheumatoid arthritis-specific autoantibodies. J Clin Invest 1998; 101: 273-281.
  • 6. Girbal-Neuhauser E, Durieux JJ, Arnaud M, et al. The epitopes targeted by the rheumatoid arthritis-associated antifilaggrin autoantibodies are posttranslationally generated on various sites of (pro)filaggrin by deimination of arginine residues. J Immunol 1999; 162: 585-594.
  • 7. Avouac J, Gossec L, Dougados M. Diagnostic and predictive value of anti-cyclic citrullinated protein antibodies in rheumatoid arthritis: a systematic literature review. Ann Rheum Dis 2006; 65: 845-851.
  • 8. Nishimura K, Sugiyama D, Kogata Y, et al. Meta-analysis: diagnostic accuracy of anti-cyclic citrullinated peptide antibody and rheumatoid factor for rheumatoid arthritis. Ann Intern Med 2007; 146: 797-808.
  • 9. McGee S. Simplifying likelihood ratios. J Gen Intern Med 2002; 17: 646-649.
  • 10. Grimes DA, Schulz KF. Refining clinical diagnosis with likelihood ratios. Lancet 2005; 365: 1500-1505.
  • 11. Nell VP, Machold KP, Stamm TA, et al. Autoantibody profiling as early diagnostic and prognostic tool for rheumatoid arthritis. Ann Rheum Dis 2005; 64: 1731-1736.

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