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Algorithm for antinuclear antibodies in subjects with clinical suspicion of autoimmune diseases.
- Source :
-
Clinical and experimental rheumatology [Clin Exp Rheumatol] 2020 Jul-Aug; Vol. 38 (4), pp. 633-639. Date of Electronic Publication: 2019 Oct 17. - Publication Year :
- 2020
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Abstract
- Objectives: Antinuclear antibodies (ANA) are fundamental in the diagnosis of systemic autoimmune rheumatic diseases (SARDs). Different assays for ANA screening are available, such as indirect immunofluorescence (IIF) on HEp-2 cells and Multiplex fluorescent immunoassay (MFI). This study aimed to clarify the importance of ANA detected only by IIF in the future development of SARDs and to recommend a laboratory algorithm that integrates the available diagnostic approaches to optimise the diagnosis of ANA IIF+MFI- subjects.<br />Methods: A total of 9,291 subjects with clinical suspicion of SARDs were evaluated for ANA by IIF and MFI. One hundred and ninety-eight subjects (2.1%) were ANA IIF+MFI-, who were followed up for 2 years. ANA were evaluated using IIF on HEp-2 cells and MFI on the BioPlex 2200.<br />Results: The ANA IIF+MFI- cohort included 106 subjects with SARDs, 26 subject with other autoimmune diseases (not-SARDs) and 66 subjects with minor symptoms or ANA requested in check-ups. Only 94 subjects underwent re-evaluation. After a 2-year follow-up, most re-evaluated subjects (51 patients) became ANA negative for both assays (mainly rheumatoid arthritis, polymyalgia and inflammatory bowel disease patients) and 35 subjects remained ANA IIF+MFI- (principally systemic sclerosis and systemic lupus erythematosus patients). A new algorithm for ANA evaluation was suggested.<br />Conclusions: According to the proposed algorithm, ANA IIF+MFI- subjects should be screened by an alternative solid-phase assay such as line-immunoassay or ELISA.
Details
- Language :
- English
- ISSN :
- 0392-856X
- Volume :
- 38
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Clinical and experimental rheumatology
- Publication Type :
- Academic Journal
- Accession number :
- 31694754