Psychosis in Systemic Lupus Erythematosus: Results From an International Inception Cohort Study
Bibliographic record
Abstract
Objective To determine, in a large, multiethnic/multiracial, prospective inception cohort of patients with systemic lupus erythematosus ( SLE ), the frequency, attribution, clinical, and autoantibody associations with lupus psychosis and the short‐ and long‐term outcomes as assessed by physicians and patients. Methods Patients were evaluated annually for 19 neuropsychiatric ( NP ) events including psychosis. Scores on the Systemic Lupus Erythematosus Disease Activity Index 2000, the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index, and the Short Form 36 ( SF ‐36) were recorded. Time to event and linear regressions were used as appropriate. Results Of 1,826 SLE patients, 88.8% were female and 48.8% were Caucasian. The mean ± SD age was 35.1 ± 13.3 years, the mean ± SD disease duration was 5.6 ± 4.2 months, and the mean ± SD follow‐up period was 7.4 ± 4.5 years. There were 31 psychotic events in 28 of 1,826 patients (1.53%), and most patients had a single event (26 of 28 [93%]). In the majority of patients (20 of 25 [80%]) and events (28 of 31 [90%]), psychosis was attributed to SLE, usually either in the year prior to or within 3 years of SLE diagnosis. Positive associations (hazard ratios [ HR s] and 95% confidence intervals [95% CI s]) with lupus psychosis were previous SLE NP events ( HR 3.59 [95% CI 1.16–11.14]), male sex ( HR 3.0 [95% CI 1.20–7.50]), younger age at SLE diagnosis (per 10 years) ( HR 1.45 [95% CI 1.01–2.07]), and African ancestry ( HR 4.59 [95% CI 1.79–11.76]). By physician assessment, most psychotic events resolved by the second annual visit following onset, in parallel with an improvement in patient‐reported SF ‐36 summary and subscale scores. Conclusion Psychosis is an infrequent manifestation of NPSLE . Generally, it occurs early after SLE onset and has a significant negative impact on health status. As determined by patient and physician report, the short‐ and long‐term outlooks are good for most patients, although careful follow‐up is required.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".