Prospective Study of Clinical Phenotypes in Neuropsychiatric Systemic Lupus Erythematosus; Multidisciplinary Approach to Diagnosis and Therapy
Bibliographic record
Abstract
OBJECTIVE: To describe clinical phenotypes in neuropsychiatric systemic lupus erythematosus (NPSLE). METHODS: Data were prospectively collected in the Leiden NPSLE referral clinic, where patients suspected of having NPSLE are assessed in a standardized multidisciplinary manner. In consensus meetings, all medical specialists agreed on therapeutic strategy based on the suspected pathogenetic mechanism of NPSLE in the individual patient. An algorithm illustrates the process of decision-making during the consensus meeting. Clinical phenotypes are described, classified by pathogenetic mechanism. RESULTS: One hundred consecutive patients were evaluated, of whom 71 had SLE (29 patients did not fulfill ≥ 4 American College of Rheumatology criteria) and 46 had NPSLE. Primary NPSLE was diagnosed in 38 patients (53%) and could be differentiated in 21 patients (55%) with inflammatory NPSLE who were advised on immunosuppressive therapy, 12 patients (32%) with ischemic NPSLE who were advised on anticoagulant therapy, and 5 patients (13%) with undefined NPSLE who were advised symptomatic treatment only. Cognitive dysfunction and higher level of disease activity were associated with inflammatory NPSLE. Although presence of immunoglobulin G anticardiolipin antibodies and abnormalities on magnetic resonance imaging (MRI) were associated with ischemic NPSLE, abnormalities on MRI lacked specificity to distinguish phenotypes. A history of renal disease and use of corticosteroids were associated with secondary NPSLE. CONCLUSION: We describe multidisciplinary consensus as a standard for diagnosing and defining phenotypes in NPSLE. These phenotypes show specific characteristics, which can be used to support diagnosis and guide therapeutic decisions. Clinical phenotyping and selection of patients becomes increasingly important when advances in experimental science lead to new targets for therapy in NPSLE.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".