Autoantibodies in Rheumatoid Arthritis – Laboratory and Clinical Perspectives
Аутоантитела при ревматоидном артрите — лабораторные и клинические аспекты
2021-05-14
SCID: 54.1/dn7wsjzt
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anti-citrullinated protein antibodiesdiagnostic specificitylikelihood ratiosrheumatoid arthritisrheumatoid factor
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Abstract (AI)
Measurement of two groups of autoantibodies, rheumatoid factor (RF) and anti-citrullinated protein/peptide antibodies (ACPA) have gained increasing significance in the diagnosis and classification of rheumatoid arthritis (RA) over the last 65 years. Despite this rising importance of autoimmune serology in RA, there is a palpable lack of harmonization between different commercial RF and ACPA tests. While a minimal diagnostic specificity has been defined for RF tests, which almost always are related to an international reference preparation, neither of this applies to ACPA. Especially assays with low diagnostic specificity are associated with very low positive predictive values or post-test probabilities in real world settings. In this review we focus on issues of practical bearing for the clinical physician diagnosing patients who potentially have RA, or treating patients diagnosed with RA. We advocate that all clinically used assays for RF and ACPA should be aligned to a common diagnostic specificity of 98-99% compared to healthy controls. This high and rather narrow interval corresponds to the diagnostic specificity seen for many commercial ACPA tests, and represents a specificity that is higher than what is customary for most RF assays. Data on antibody occurrence harmonized in this way should be accompanied by test result-specific likelihood ratios for the target diagnosis RA on an ordinal or interval scale, which will provide the clinical physician with more granular and richer information than merely relating numerical values to a single cut-off point. As many physicians today are used to evaluate autoantibodies as positive or negative on a nominal scale, the introduction of test result-specific likelihood ratios will require a change in clinical mindset. We also discuss the use of autoantibodies to prognosticate future arthritis development in at-risk patients as well as predict severe disease course and outcome of pharmacological treatment.
Key Findings
1
Autoantibodies can support prediction of future arthritis in at-risk patients and prognosis of disease severity and pharmacological treatment outcomes.
2
Commercial RF and ACPA assays lack sufficient harmonization, and low-specificity tests can produce very low positive predictive values in real-world settings.
3
Reporting test result-specific likelihood ratios on ordinal or interval scales would provide clinicians with more informative diagnostic evidence than binary positivity or single cutoffs.
4
Rheumatoid factor and anti-citrullinated protein/peptide antibodies have become central to rheumatoid arthritis diagnosis and classification over the past 65 years.
5
The review advocates harmonizing clinically used RF and ACPA assays to a common diagnostic specificity of 98–99% versus healthy controls.
Research Object
Rheumatoid arthritis patients and at-risk individuals evaluated using rheumatoid factor (RF) and anti-citrullinated protein/peptide antibodies (ACPA)
Research Subject
Diagnostic harmonization, clinical interpretation, and prognostic value of RF and ACPA assays, including diagnostic specificity, likelihood ratios, prediction of arthritis development, disease severity, and treatment outcome
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2021-05-14
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