Polyarthritis in Sjögren's Syndrome: Difficulties in Distinguishing Extraglandular Manifestation and Associated Rheumatoid Arthritis

被引:0
|
作者
Aradi, Zsofia [1 ]
Nagy, Gabor [2 ]
Horvath, Ildiko Fanny [1 ]
Antal-Szalmas, Peter [2 ]
Szanto, Antonia [1 ]
机构
[1] Univ Debrecen, Inst Internal Med, Fac Med, Div Clin Immunol, H-4032 Debrecen, Hungary
[2] Univ Debrecen, Fac Med, Dept Lab Med, H-4032 Debrecen, Hungary
关键词
Sj & ouml; gren's syndrome; associated rheumatoid arthritis; polyarthritis; extraglandular manifestation; PRIMARY SJOGRENS-SYNDROME; RHEUMATOLOGY/EUROPEAN LEAGUE; ARTICULAR MANIFESTATIONS; CLASSIFICATION CRITERIA; AMERICAN-COLLEGE; MANAGEMENT;
D O I
10.3390/diagnostics14141494
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aim of the study was to investigate the demographic data and disease course characteristics of patients with Sj & ouml;gren's syndrome (SS) and inflammatory joint pain of various origins and to search for factors that might help with the distinction of polyarthritis as an extraglandular manifestation and rheumatoid arthritis as an associated systemic autoimmune disorder. A total of 355 patients were retrospectively analyzed, 128 of whom served as controls (SS-C), while 159 had polyarthritis as an extraglandular symptom of Sj & ouml;gren's syndrome (SS-pa) and 68 were diagnosed as having associated rheumatoid arthritis (SS-RA). The patients without any inflammatory joint manifestations were significantly older than the SS-pa patients, while, for the SS-RA group, the difference was not significant. The onset of joint pain appeared significantly earlier in the SS-RA patients. Regarding either extraglandular manifestations or associated autoimmune disorders, there were significant differences between the controls and both SS-pa and SS-RA groups, while no significant difference was found between the SS-pa and SS-RA groups. Thus, laboratory and imaging methods should be used to differentiate between the two conditions, but laboratory biomarkers are even more important for early diagnosis. A ROC curve analysis showed an acceptable diagnostic accuracy in differentiating between SS-pa and SS-RA patients using a binary logistic regression model, where highly positive rheumatoid factor (RF) and anti-cyclic citrullinated peptide (CCP) values, kidney involvement, and anti-Ro/SS-A positivity were shown to significantly raise the odds of having RA, whereas anti-La/SS-B positivity seemed to have a protective role, since it significantly decreased the odds of having it. Further biomarkers are needed to better classify SS patient cohorts with inflammatory joint pain of different origins and, consequently, different management requirements.
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页数:12
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