SLESIS-R: an improved score for prediction of serious infection in patients with systemic lupus erythematosus based on the RELESSER prospective cohort.

OBJECTIVE: To develop an improved score for prediction of severe infection in patients with systemic lupus erythematosus (SLE), namely, the SLE Severe Infection Score-Revised (SLESIS-R) and to validate it in a large multicentre lupus cohort. METHODS: We used data from the prospective phase of RELESSER (RELESSER-PROS), the SLE register of the Spanish Society of Rheumatology. A multivariable logistic model was constructed taking into account the variables already forming the SLESIS score, plus all other potential predictors identified in a literature review. Performance was analysed using the C-statistic and the area under the receiver operating characteristic curve (AUROC). Internal validation was carried out using a 100-sample bootstrapping procedure. ORs were transformed into score items, and the AUROC was used to determine performance. RESULTS: A total of 1459 patients who had completed 1 year of follow-up were included in the development cohort (mean age, 49±13 years; 90% women). Twenty-five (1.7%) had experienced ≥1 severe infection. According to the adjusted multivariate model, severe infection could be predicted from four variables: age (years) ≥60, previous SLE-related hospitalisation, previous serious infection and glucocorticoid dose. A score was built from the best model, taking values from 0 to 17. The AUROC was 0.861 (0.777-0.946). The cut-off chosen was ≥6, which exhibited an accuracy of 85.9% and a positive likelihood ratio of 5.48. CONCLUSIONS: SLESIS-R is an accurate and feasible instrument for predicting infections in patients with SLE. SLESIS-R could help to make informed decisions on the use of immunosuppressants and the implementation of preventive measures.

Influence of the EULAR recommendations for the use of imaging in large vessel vasculitis in the diagnosis of giant cell arteritis: results of the ARTESER register.

OBJECTIVE: The main study objective was to determine how giant cell arteritis (GCA) is diagnosed in our clinical practice and whether the EULAR recommendations have influenced the diagnostic procedures used. METHODS: ARTEritis of the Rheumatology Spanish Society -Sociedad Española de Reumatología (ARTESER) is a multicentre observational retrospective study conducted in 26 hospitals with support from the Spanish Society of Rheumatology. All patients diagnosed with GCA between 1 June 2013 and 29 March 2019 were included. The gold standard for the diagnosis of GCA was the judgement of the physician in charge, according to clinical criteria, supported by data available from laboratory tests, imaging studies (ultrasound, positron emission tomography (PET) and MRI/CT angiography) and temporal artery biopsy (TAB) when available. RESULTS: We included 1675 patients with GCA (mean age±SD (76.9±8.1) years, 1178 women (70.3%)). Of these, 776 patients had a positive TAB (46.3%), 503 (30.0%) positive ultrasound, 245 positive PET (14.6%) and 64 positive MRI/CT angiography (3.8%). These percentages changed substantially over the study. From 2013 to 2019, the use of ultrasound in diagnosis grew from 25.8% to 52.9% and PET from 12.3% to 19.6%, while use of TAB decreased from 50.3% to 33.3%. CONCLUSIONS: Biopsy was the most widely used diagnostic test for confirming GCA, but use of imaging as a diagnostic tool has grown in recent years. Following publication of the 2018 EULAR recommendations, ultrasound has displaced biopsy as the first-line diagnostic test; TAB was performed in a third and PET in a fifth of cases.