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Objectives To describe phenotypes and outcomes of extra-renal flares in SLE, to identify clusters of extra-renal flares based on baseline features, and to develop a machine learning (ML) tool capable of predicting ‘difficult to treat’ (D2T) flares. Methods Extra-renal flares that occurred in our cohort over the last five years with at least one year of follow-up were included. Baseline clinical variables were described and flares assigned to clusters. Attainment of remission and low disease activity state (LLDAS) at 12 months were compared. Flares were then considered ‘D2T’ in case of non-attainment of LLDAS at 6 and 12 months. Baseline features were used to train a ML model able to predict future D2T-flares, at admission. Traditional approaches were then compared with informatic techniques. Results Among 420 SLE patients of the cohort, 114 flares occurred between 2015 and 2021; 79 extra-renal flares, predominantly mucocutaneous (24.1%) and musculoskeletal (45.6%), were considered. After 12 months, 79.4% and 49.4% were in LLDAS and in remission, respectively, while 17 flares were classified as D2T (21.5%); D2T flares received a higher cumulative and daily dose of glucocorticoids. Among the clusters, cluster ‘D’ (mild-moderate flares with mucocutaneous manifestations in patients with history of skin involvement) was associated with the lowest rate of remission. Among clinical data, not being on LLDAS at 3 months was the unique independent predictor of D2T flares. Conclusions Our clusterization well separates extra-renal flares according to their baseline features and may propose a new identification standard. D2T flares, especially refractory skin manifestations, are frequent in SLE and represent an unmet need in the management of the disease as they are associated with higher glucocorticoid (GC) dosage and risk of damage accrual. Our ML model could help in the early identification of D2T flares, flagging them to elevate the attention threshold at admission.

Background/Aims People with inflammatory/autoimmune rheumatic and musculoskeletal diseases (I-RMDs) were excluded from Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) vaccine clinical development programmes; therefore, concerns regarding the safety and effectiveness of SARS-CoV-2 vaccines in this population still exist. Previous studies in people with I-RMDs were small albeit reassuring in terms of the incidence of I-RMD flares and adverse events. Our aim was to describe the safety of vaccines against SARS-CoV-2 in people with I-RMD. Methods Physician-reported registry of I-RMD and non-inflammatory RMD (NI-RMDs) patients vaccinated against SARS-CoV-2. From 5/Feb/2021 to 27/Jul/2021, we collected data on demographics, vaccination, RMD diagnosis, disease activity, immunomodulatory/immunosuppressive treatments, flares, adverse events (AEs) and SARS-CoV-2 breakthrough infections. Data were analysed descriptively. Results The study included 5121 participants from 30 countries, 90% with I-RMDs (n = 4604, 68% female, mean age 60.5 years) and 10% with NI-RMDs (n = 517, 77% female, mean age 71.4). Inflammatory joint diseases (58%), connective tissue diseases (18%) and vasculitis (12%) were the most frequent diagnostic groups; 54% received conventional synthetic disease-modifying anti-rheumatic drugs (DMARDs), 42% biologic DMARDs and 35% immunosuppressants. Most patients received the Pfizer/BioNTech vaccine (70%), 17% AstraZeneca/Oxford and 8% Moderna. In fully vaccinated cases, breakthrough infections were reported in 0.7% of I-RMD patients and 1.1% of NI-RMD patients. I-RMD flares were reported in 4.4% of cases (0.6% severe), 1.5% resulting in medication changes. AEs were reported in 37% of cases (37% I-RMD, 40% NI-RMD), serious AEs in 0.5% (0.4% I-RMD, 1.9% NI-RMD). Conclusion The safety profiles of SARS-CoV-2 vaccines in patients with I-RMD were reassuring, and comparable to patients with NI-RMDs. The majority of patients tolerated their vaccination well with rare reports of I-RMD flare and very rare reports of serious AEs. These findings should provide reassurance to rheumatologists and vaccine recipients, and promote confidence in SARS-CoV-2 vaccine safety in I-RMD patients. Disclosure P.M. Machado: None. S. Lawson-Tovey: None. A. Strangfeld: None. E. Mateus: None. K. Hyrich: None. L. Gossec: None. L. Carmona: None. A. Rodrigues: None. B. Raffeiner: None. C. Duarte: None. E. Hachulla: None. E. Veillard: None. E. Strakova: None. G.R. Burmester: None. G.K. Yardimci: None. J.A. Gómez-Puerta: None. J. Zepa: None. L. Kearsley-Fleet: None. L. Trefond: None. M.M. Cunha: None. M. Mosca: None. M. Cornalba: None. M. Soubrier: None. N. Roux: None. O. Brocq: None. P. Durez: None. R. Conway: None. T. Goulenok: None. J.W.J. Bijlsma: None. I. McInnes: None. X. Mariette: None.

Joint involvement is a common manifestation of systemic lupus erythematosus (SLE) and is described as a non-erosive mild synovitis. However some SLE patients may present a more severe joint involvement requiring aggressive therapy. We describe the case of a SLE patient with a severe arthritis unresponsive to methotrexate, successfully treated with anti-TNF-alpha drug as induction therapy and we report the results of a systematic literature review on the use of TNF-alpha inhibitors in SLE.

Objective. Most information available about the disease course of patients with systemic lupus erythematosus (SLE) is restricted to the first 5 yr after disease onset. Data about the disease course 10 yr after disease onset are rare. The aim of this multicentre study was to describe the outcome of SLE patients with a disease duration of >10 yr. Methods. Outcome parameters were the SLE Disease Activity Index (SLEDAI ), the European Consensus Lupus Activity Measure (ECLAM ), the Systemic Lupus International Collaborative Clinics/American College of Rheumatology Damage Index (SLICC/ACR), a global damage index (DI ) and required treatment. In 10 diVerent European rheumatology centres, all SLE patients who were evaluated in the last 3 months of 1994, and who had been diagnosed with SLE at least 10 yr ago, were included in the study. Results. It should be stressed that our results are confined to a patient cohort, defined by a disease duration of at least 10 yr, and who are still under clinical care at the diVerent centres in Europe. These SLE patients still showed some disease activity, related to symptoms of the skin and musculoskeletal systems, next to the presence of renal involvement. A total of 72% of the patients needed treatment with prednisolone (7.5 mg). The cumulative damage was overall related to clinical features of the central nervous system (14%) and renal involvement (14%), next to deforming arthritis (14%), osteoporosis (15%) and hypertension (40%). The prevalences of obesity, Cushing appearance and diabetes are highly suggestive that the ongoing treatment and that in the past might have had an impact on the total sum of endorgan damage. Conclusions. After 10 yr, a high proportion of patients in our cohort continued to show evidence of active disease, defined by the SLEDAI as well as ECLAM. The DI was related to the involvement of the central nervous system, renal involvement and the presence of hypertension.

Objectives. Recently, convincing data have been published on the value of salivary gland ultrasonography (SGUS) in differentiating primary SS from non-immune-mediated sicca syndrome. Limited data are available regarding the diagnostic accuracy of SGUS in distinguishing SS from other rheumatic diseases. The purpose of this study was to assess the usefulness of SGUS in distinguishing patients with SS from those with xerostomia and/or xerophthalmia and a diagnosis of stable UCTD. Methods. This cross-sectional study consecutively enrolled 150 patients either diagnosed with SS (as established by the AmericanEuropean Consensus Group criteria) or affected by UCTD but not SS. Parotid and submandibular glands on both sides were assessed for size, parenchymal echogenicity and inhomogeneity by means of SGUS, which was performed by a radiologist blinded to the diagnosis. Echostructural alterations of the salivary glands were graded from 0 to 3 (cut-off >2). Results. This study included 109 patients: 55 with SS and 54 with UCTD. Patients with SS showed a higher SGUS score in comparison with those with UCTD [mean 2.2 (S.D. 1.8) vs 0.2 (S.D. 0.5), P 2 showed a sensitivity of 65%, a specificity of 96%, a positive predictive value of 95% and a negative predictive value of 73% for SS diagnosis. A significant correlation was also found between the SGUS score and the minor salivary gland biopsy/focus score (r = 0.484, P < 0.0001). Conclusion. This study confirmed the good sensitivity and the high specificity of SGUS in differentiating SS from other CTDs.