Prevalence of Sjögren's syndrome according to 2016 ACR-EULAR classification criteria in patients with systemic lupus erythematosus.

BACKGROUND: Diagnosis of SS is a complex task, as no symptom or test is unique to this syndrome. The American-European Consensus Group (AECG 2002) and the American-European classification criteria of 2016 (ACR/EULAR 2016) emerged through a search for consensus. This study aims to assess the prevalence of Sjögren's Syndrome (SS) in patients with Systemic Lupus Erythematosus (SLE), according to AECG 2002 and ACR-EULAR 2016 classifications, as well as clinical and histopathological features in this overlap. To date, there is no study that has evaluated SS in SLE, using the two current criteria. METHODS: This cross-sectional study evaluated 237 SLE patients at the outpatient rheumatology clinic between 2016 and 2018. Patients were submitted to a dryness questionnaire, whole unstimulated salivary flow (WUSF), "Ocular Staining Score" (OSS), Schirmer's test I (ST-I), and labial salivary gland biopsy (LSGB). RESULTS: After verifying inclusion and exclusion criteria, a total of 117 patients were evaluated, with predominance of females (94%) and mixed ethnicity (49.6%). The prevalence of SS was 23% according to AECG 2002 and 35% to ACR-EULAR 2016. Kappa agreement between AECG 2002 and ACR-EULAR 2016 were 0.7 (p < 0.0001). After logistic regression, predictors for SS were: anti/Ro (OR = 17.86, p < 0.05), focal lymphocytic sialadenitis (OR = 3.69, p < 0.05), OSS ≥ 5 (OR = 7.50, p < 0.05), ST I positive (OR = 2.67, p < 0.05), and WUSF ≤ 0.1 mL/min (OR = 4.13, p < 0.05). CONCLUSION: The prevalence of SS in SLE was 23% (AECG 2002) and 35% (ACR-EULAR 2016). The presence of glandular dysfunction, focal lymphocytic sialadenitis, and anti/Ro were predictors of SS in SLE. The greatest advantage of the new ACR-EULAR 2016 criteria is to enable an early diagnosis and identify the overlapping of these two diseases. ACR-EULAR 2016 criteria is not yet validated for secondary SS and this study is a pioneer in investigating prevalence based on the new criteria.

Prevalence of Sjögren's syndrome according to 2016 ACR-EULAR classification criteria in patients with systemic lupus erythematosus

Abstract Background Diagnosis of SS is a complex task, as no symptom or test is unique to this syndrome. The American-European Consensus Group (AECG 2002) and the American-European classification criteria of 2016 (ACR/EULAR 2016) emerged through a search for consensus. This study aims to assess the prevalence of Sjögren's Syndrome (SS) in patients with Systemic Lupus Erythematosus (SLE), according to AECG 2002 and ACR-EULAR 2016 classifications, as well as clinical and histopathological features in this overlap. To date, there is no study that has evaluated SS in SLE, using the two current criteria. Methods This cross-sectional study evaluated 237 SLE patients at the outpatient rheumatology clinic between 2016 and 2018. Patients were submitted to a dryness questionnaire, whole unstimulated salivary flow (WUSF), "Ocular Staining Score" (OSS), Schirmer's test I (ST-I), and labial salivary gland biopsy (LSGB). Results After verifying inclusion and exclusion criteria, a total of 117 patients were evaluated, with predominance of females (94%) and mixed ethnicity (49.6%). The prevalence of SS was 23% according to AECG 2002 and 35% to ACR- EULAR 2016. Kappa agreement between AECG 2002 and ACR-EULAR 2016 were 0.7 (p < 0.0001). After logistic regression, predictors for SS were: anti/Ro (OR = 17.86, p < 0.05), focal lymphocytic sialadenitis (OR = 3.69, p < 0.05), OSS ≥ 5 (OR = 7.50, p < 0.05), ST I positive (OR = 2.67, p < 0.05), and WUSF ≤ 0.1 mL/min (OR = 4.13, p < 0.05). Conclusion The prevalence of SS in SLE was 23% (AECG 2002) and 35% (ACR-EULAR 2016). The presence of glandular dysfunction, focal lymphocytic sialadenitis, and anti/Ro were predictors of SS in SLE. The greatest advantage of the new ACR-EULAR 2016 criteria is to enable an early diagnosis and identify the overlapping of these two diseases. ACR- EULAR 2016 criteria is not yet validated for secondary SS and this study is a pioneer in investigating prevalence based on the new criteria.

Previous biological therapy and impairment of the IFN-γ/IL-10 axis are associated with low immune response to 17DD-YF vaccination in patients with spondyloarthritis.

Yellow fever (YF) vaccination is known to induce a suboptimal response in patients with autoimmune diseases (AIDs). To date, few studies have focused on the performance of 17DD-YF vaccination in patients with spondyloarthritis (SpA). In general, patients with SpA are young and have less comorbidities than other patients with AIDs, and frequently receive biological disease-modifying antirheumatic drugs (DMARDs) that may impact their response to vaccines. Taking this background information, the present study aimed to investigate whether the use of biological DMARDs, even after planned washout, or disease activity measured by the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), would impact the overall performance of planned 17DD-YF primary vaccination in patients with SpA. For this purpose, 74 subjects were enrolled in a prospective study, including adult patients with SpA (SpA; n = 51) and a healthy control (HC; n = 23) group. Analysis of YF specific neutralizing antibodies test (PRNT), along with YF viremia and the levels of serum chemokines, cytokines, and growth factors were performed at distinct time points (D0, D3, D4, D5, D6, D7, D14, and D28). The BASDAI scores were evaluated at D0 and D180. Data demonstrated that overall, the SpA group presented lower PRNT titers and seropositivity rates as compared to the HC group (GeoMean = 112 vs. 440; 73% vs. 96%, respectively). In SpA subgroup analyses, previous biological DMARDs (BIO-IT) led to a lower PRNT titers (BIO-IT 79, 95% CI [39-150] vs. without biological DMARDs [non-BIO-IT] 159, 95% CI [94-267], p < 0.001). The non-BIO-IT group achieved a response similar to the HC group (81% vs. 96%, p = 0.112), whereas the BIO-IT group had a lower seroconversion rate (64% vs. 96% HC, p = 0.007). The BASDAI was not associated with PRNT levels and did not change after 6 months of follow-up. No differences in YF viremia were observed amongst subgroups. Higher baseline levels of serum biomarkers were observed in the BIO-IT group vs. the non-BIO-IT group, as well as in those with a BASDAI ≥ 4 vs. those with a BASDAI < 4. Increasing levels of several biomarkers were observed in SpA, especially in the BIO-IT and BASDAI ≥ 4 subgroups throughout the timeline kinetics, with impairment/disturbance in the IFN-γ/IL-10 axis around the peak of viremia (D5). Altogether, these findings suggested that the use of biological DMARDs impacts the response to the 17DD-YF vaccine, even after planned washout. Therefore, previous biological DMARD therapy, the inflammatory status prior vaccination, and impairment of the IFN-γ/IL-10 axis at the peak of viremia may determine the immunogenicity of 17DD-YF vaccination in patients with SpA.