CLINICAL FEATURES AND OUTCOMES OF SEIZURE DISORDERS IN NEUROPSYCHIATRIC SYSTEMIC LUPUS ERYTHMATOSUS IN CHINA
Bibliographic record
Abstract
PV048 / #473 Poster Topic: AS05 - CNS Lupus Background/Purpose Patients with Neuropsychiatric Systemic Lupus Erythematosus (NPSLE) experience impaired quality of life, while the underlying causes remain unknown. Seizure, one of the common subtypes of NPSLE, is predictive of poor prognosis for SLE. In this study, we evaluated clinical features and the risk factors with prognostic outcome in a large dataset of NPSLE with seizure in China. Methods NPSLE inpatients and outpatients with seizure (after diagnosed of SLE, or before but within 6 months) treated mainly at Peking Union Medical College Hospital and other multiple institutions around China between July 2011 and June 2024 were considered. SLE was diagnosed when the SLE classification criteria recommended by the American College of Rheumatology (ACR) in 1997 or those of the Systemic Lupus International Collaborating Clinics (SLICC) in 2012 and the diagnostic criteria for NPSLE in SLE proposed by the ACR in 1999 were fulfilled. Clinical data and laboratory examination results were retrospectively collected. The SLE disease activity index (SLEDAI) was used to evaluate lupus activity. SLEDAI ≥ 15 points indicates severe SLE activity. SPSS 27.0 software and GraphPad Prism 10.2.0 were used for statistical analyses. Results Data were collected from a total of 632 NPSLE patients with seizures; of these, 556 (88.0%) were female, with an average age of 34.1 years (range, 9-73). The median duration of SLE was 3.0 years (range, 0-42), and the median duration of NP was 2 months (range, 0-150). Among all patients, 301 (47.6%) had central nervous system (CNS) involvement aside from seizures, 20 (3.2%) had peripheral nervous system (PNS) involvement, and 13 (2.1%) had both. The most common NP subtypes were acute confusional state (ACS), cognitive impairment, cerebrovascular disease, headache, and psychosis (Table 1). In the prognostic analysis, 23 patients (3.6%) died, of whom 20 (87.0%) were women, and 17 (73.9%) were older than 25 years. Comparing the deceased and surviving groups, there were significant differences in the prevalence of serositis (p = 0.003), respiratory involvement (p = 0.002), cardiac involvement (p = 0.003), renal involvement (p = 0.013), proteinuria (p = 0.025), elevated serum creatinine (Scr) (p < 0.001), and SLEDAI score ≥ 15 (p = 0.021). These findings indicate that these factors are associated with a poor prognosis (Table 2). Table 1. Baseline characteristics of NPSLE patients with seizure. Table 2. Prognostic analysis of clinical characteristics of NPSLE patients with seizure. Conclusions NPSLE patients with seizures, combined with serositis, respiratory, cardiac, or renal involvement, proteinuria, elevated serum creatinine, or high disease activity, may have a poorer prognosis.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".