Autoantibodies in Rheumatoid Arthritis - Laboratory and Clinical Perspectives
- PMID: 34054878
- PMCID: PMC8161594
- DOI: 10.3389/fimmu.2021.685312
Autoantibodies in Rheumatoid Arthritis - Laboratory and Clinical Perspectives
Abstract
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.
Keywords: ACPA; anti-CCP; diagnosis; prognosis; rheumatoid arthritis; rheumatoid factor.
Copyright © 2021 Rönnelid, Turesson and Kastbom.
Conflict of interest statement
JR has been a member of the scientific advisory board for Thermo Fisher Scientific, and has research collaboration with the diagnostic companies Thermo Fischer Scientific, Inova Diagnostics, Euroimmun and Theradiag. CT has received a research grant from Bristol-Myers Squibb, consultancy fees from Roche, and speaker’s honoraria from Abbvie, Bristol-Myers Squibb, Nordic Drugs, Pfizer and Roche. AK has received speaker’s honoraria from Werfen and was previously employed by Sanofi. The handling editor declared a past co-authorship with one of the authors, JR.
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