Prospective Study of Neuropsychiatric Events in Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: To prospectively examine neuropsychiatric (NP) events and their association with health related quality of life (HRQOL) over time in patients with systemic lupus erythematosus (SLE). METHODS: In an observational cohort study from a single academic center, NP events and their attribution were identified at enrollment and at annual assessments for up to 7 years. NP events were characterized using the American College of Rheumatology case definitions; other variables were global SLE disease activity and cumulative organ damage. The outcomes of NP events were recorded and self-report HRQOL was measured with the mental (MCS) and physical (PCS) component summary scores of the Medical Outcomes Study Short Form-36. RESULTS: There were 209 patients, 88% female and 92% Caucasian, with a mean (standard deviation) age of 43.7 (13.8) years. Followup was available in 175/209 (84%) patients. There were 299 NP events in 132/209 (63%) patients over a mean followup of 3.6 (2.5) years. Thirty-one percent of NP events in 54 patients were attributed to SLE. Multivariate analysis indicated lower MCS scores in patients with NP events compared to those without events (p < 0.001) regardless of attribution. The group means for PCS scores were significantly lower in patients with NP events (p < 0.001) regardless of attribution. There was no association between HRQOL and cumulative organ damage, nor between NP events and the progression of organ damage. CONCLUSION: The association of lower HRQOL with NP events over time, which is independent of progression in cumulative organ damage, emphasizes the persistent negative effect of NP events in the lives of patients with SLE.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".