دورية أكاديمية
Development and validation of a new algorithm for attribution of neuropsychiatric events in systemic lupus erythematosus
العنوان: | Development and validation of a new algorithm for attribution of neuropsychiatric events in systemic lupus erythematosus |
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المؤلفون: | Bortoluzzi, Alessandra, Scirè, Carlo Alberto, Bombardieri, Stefano, Caniatti, Luisa, Conti, Fabrizio, De Vita, Salvatore, Doria, Andrea, Ferraccioli, Gianfranco, Gremese, Elisa, Mansutti, Elisa, Mathieu, Alessandro, Mosca, Marta, Padovan, Melissa, Piga, Matteo, Tincani, Angela, Tola, Maria Rosaria, Tomietto, Paola, Valesini, Guido, Zen, Margherita, Govoni, Marcello, on behalf of the Study Group on Neuropsychiatric Systemic Lupus Erythematosus of the Italian Society of Rheumatology |
بيانات النشر: | Oxford University Press |
سنة النشر: | 2015 |
المجموعة: | HighWire Press (Stanford University) |
مصطلحات موضوعية: | CLINICAL SCIENCE |
الوصف: | Objective. The aim of this study was to develop and validate an algorithm to assist the attribution of neuropsychiatric (NP) events to underlying disease in SLE patients. Methods. Phase 1 identified and categorized candidate items to be included in the algorithm for the attribution of an NP event to SLE and their relative weights through a literature-informed consensus-driven process. Using a retrospective training cohort of SLE, phase 2 validated items selected in phase 1 and refined weights through a data-driven process, fitting items as independent variables and expert evaluation (clinical judgement) as reference standard in logistic models. Phase 3 consisted of a validation process using an external multicentre retrospective SLE cohort. Results. Phase 1 identified four different items: timing of the NP event, type of event, confounding factors and favouring factors. The training and validating cohorts included 228 and 221 patients, respectively. Each patient experienced at least one NP event characterized using the ACR case definition. In these samples, items selected in phase 1 showed good performance in discriminating patients with NPSLE: the area under the receiver operating characteristic curve using dichotomous outcomes was 0.87 in the training set and 0.82 in the validating set. Relevant cut-offs of the validated score identify events with a positive predictive value of 100% (95% CI 93.2, 100) and 86.3% (95% CI 76.2, 93.2) in the training and validating cohorts, respectively. Conclusion. A new algorithm based on a probability score was developed and validated to determine the relationship between NP events and SLE. |
نوع الوثيقة: | text |
وصف الملف: | text/html |
اللغة: | English |
العلاقة: | http://rheumatology.oxfordjournals.org/cgi/content/short/54/5/891Test; http://dx.doi.org/10.1093/rheumatology/keu384Test |
DOI: | 10.1093/rheumatology/keu384 |
الإتاحة: | https://doi.org/10.1093/rheumatology/keu384Test http://rheumatology.oxfordjournals.org/cgi/content/short/54/5/891Test |
حقوق: | Copyright (C) 2015, British Society for Rheumatology |
رقم الانضمام: | edsbas.E6745A28 |
قاعدة البيانات: | BASE |
DOI: | 10.1093/rheumatology/keu384 |
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