2014
DOI: 10.1093/rheumatology/keu384
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Development and validation of a new algorithm for attribution of neuropsychiatric events in systemic lupus erythematosus

Abstract: A new algorithm based on a probability score was developed and validated to determine the relationship between NP events and SLE.

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Cited by 140 publications
(100 citation statements)
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“…Of course, eventually a breaking point should be reached and FC reductions observable. Beyond the scope of the present article, it is our expectation that this reduction would be seen in a heavily affected subgroup of SLE patients, perhaps better identified by alternative distribution models such as the SLICC model (Hanly et al, ) or Italian model (Bortoluzzi et al, ), which are relatively rare. We hypothesize that what is most likely at play, is a well‐defined response to more diffuse damage profile consistent with white matter tract damage and hyperintensities, which should eventually become visible as reduced connectivity in the most severely affected SLE groups, all the while maintaining some of the suboptimal compensation patterns we have seen in this article.…”
Section: Discussionmentioning
confidence: 81%
“…Of course, eventually a breaking point should be reached and FC reductions observable. Beyond the scope of the present article, it is our expectation that this reduction would be seen in a heavily affected subgroup of SLE patients, perhaps better identified by alternative distribution models such as the SLICC model (Hanly et al, ) or Italian model (Bortoluzzi et al, ), which are relatively rare. We hypothesize that what is most likely at play, is a well‐defined response to more diffuse damage profile consistent with white matter tract damage and hyperintensities, which should eventually become visible as reduced connectivity in the most severely affected SLE groups, all the while maintaining some of the suboptimal compensation patterns we have seen in this article.…”
Section: Discussionmentioning
confidence: 81%
“…Attribution of NP events was based on physician judgement, following multidisciplinary approach6 and considering patient age, risk factors for primary NPSLE (aPL), prior major neuropsychiatric manifestation, generalised disease activity, findings of conventional MRI imaging and other diagnostic procedures. Additionally, the ACR ‘exclusion’ and ‘association’ factors (ie, their absence favours attribution to SLE), as well as ‘SLE-favouring factors’ of the Italian Study Group on NPSLE attribution model,31 were also considered. Attribution was ascertained after prospective follow-up of patients and has been additionally retrospectively cross-checked with existing attribution models31 32 (online supplementary table 1).…”
Section: Methodsmentioning
confidence: 99%
“…In a recent study , a fourth component was added to the SLICC attribution model called “favoring factors”, which refers to variables that support the attribution of an NP event to SLE, derived from the European League Against Rheumatism recommendations on NPSLE and an expert panel. Weights were assigned to variables of the 4 components, generating a score between 0 and 10, with a higher score indicating a greater likelihood that the NP event is attributed to SLE.…”
Section: Current Status Of Npslementioning
confidence: 99%