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               <dc:title>SLESIS-R: an improved score for prediction of serious infection in patients with systemic lupus erythematosus based on the RELESSER prospective cohort</dc:title>
               <dc:creator>Rúa-Figueroa, Iñigo</dc:creator>
               <dc:creator>Carrión-Barberà, María Irene</dc:creator>
               <dc:creator>Pego-Reigosa, José Maria</dc:creator>
               <dc:subject>Epidemiology</dc:subject>
               <dc:subject>Lupus erythematosus</dc:subject>
               <dc:subject>Systemic</dc:subject>
               <dc:subject>Risk factors</dc:subject>
               <dc:description>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.</dc:description>
               <dc:date>2025-07-05T22:00:04Z</dc:date>
               <dc:date>2025-07-05T22:00:04Z</dc:date>
               <dc:date>2025-07-04T06:26:12Z</dc:date>
               <dc:date>2025-07-04T06:26:12Z</dc:date>
               <dc:date>2024</dc:date>
               <dc:type>info:eu-repo/semantics/article</dc:type>
               <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
               <dc:identifier>http://hdl.handle.net/10230/70831</dc:identifier>
               <dc:relation>Lupus Sci Med. 2024 Apr 8;11(1):e001096</dc:relation>
               <dc:rights>© 2024, The Author(s). Published by BMJ Publishing Group Ltd. This article is available under the Creative Commons CC-BY-NC 4.0 license (https://creativecommons.org/licenses/by-nc/4.0) and permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.</dc:rights>
               <dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:publisher>BMJ Publishing Group</dc:publisher>
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