Salivary gland ultrasound is associated with the presence of autoantibodies in patients with Sjögren’s syndrome: A Danish single-centre study
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Objectives To investigate whether ultrasound findings of major salivary glands are correlated with serological markers, autoantibodies, patient- or doctor-reported disease activity in a Danish cohort of patients with primary Sjögren’s Syndrome (pSS). Methods In all, 49 patients at Odense University Hospital with pSS diagnosed according to the 2002 American-European Consensus Group (AECG) classification criteria were included. Patients were characterized using the EULAR Sjögren’s Syndrome Disease Activity Index (ESSDAI, score of systemic complications) and EULAR Sjögren’s Syndrome Patient Reported Index (ESSPRI), serologic markers, Schirmer’s test and salivary test. Salivary gland ultrasound (SGUS) was performed of the submandibular and parotid glands and scored according to the Outcome Measures in Rheumatoid Arthritis Clinical Trials (OMERACT) semi-quantitative scoring system. Results More patients with abnormal SGUS had antinuclear antibodies (ANA) (p = 0.002), anti-Ro52 (p = 0.001), anti-Ro60 (p<0.001), anti-La (p<0.001) and IgM-RF (p<0.001). Titers for ANA (p = 0.02) and anti-Ro52 (p = 0.03) were higher in patients with abnormal SGUS. Twenty-three of the pSS patients had no pathological findings on SGUS. There was no correlation between SGUS severity and ESSDAI- or ESSPRI-scores. Conclusions Abnormal SGUS findings are associated with autoantibodies of high specificity for pSS but not with ESSDAI, ESSPRI or inflammatory markers.
Originalsprog | Engelsk |
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Artikelnummer | e0265057 |
Tidsskrift | PLoS ONE |
Vol/bind | 17 |
ISSN | 1932-6203 |
DOI | |
Status | Udgivet - 2022 |
Bibliografisk note
Funding Information:
The study was supported by the Danish Rheumatism Association. Grants R181-A6347 and R178-A6346. We wish to state that the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Study data were collected and managed using REDCap electronic data capture tools hosted at OPEN, Open Patient data Explorative Network, Odense University Hospital, Region of Southern Denmark [33, 34].
Publisher Copyright:
© 2022 Schmidt et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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