Similarities and differences between pediatric and adult patients with systemic lupus erythematosus
Bibliographic record
Abstract
Systemic lupus erythematosus (SLE) is a multifactorial autoimmune disease with highest prevalence among women of childbearing age. However, children younger than 16 years also can develop SLE (childhood-onset lupus/juvenile-type SLE). The aim of our study was to compare the clinical course of adult and pediatric-onset SLE. Data from 342 adult patients followed at the University of Debrecen, Hungary, and 79 children documented in the Hungarian National Pediatric SLE registry were analyzed using hospital medical records. Organ manifestations, laboratory parameters, and immunoserological characteristics were reviewed and the results were evaluated using SPSS for Windows software.Gender distribution was not significantly different between groups with disease starting in childhood vs adulthood. The prevalence of the following manifestations was significantly higher for pediatric than for adult-onset disease including: lupus nephritis (43% pediatric vs 26.4% for adult-onset), hematological disorders (57% vs 36.4%), photosensitivity (20% vs 9%), butterfly rash (61% vs 35.5%) and mucosal ulceration (11.4% vs 4%). For adult-onset SLE, neurological symptoms (30% vs 6%) and polyarthritis (86% vs 68%) occurred significantly more frequently than in children. Anti-SSA, anti-SSB and antiphospholipid antibodies were detected at significantly higher levels in adult-onset patients compared to those in pediatrics. Children were more commonly given high-dose intravenous immunoglobulin treatment (6.3% vs 0.6%) and mycophenolate mofetil (15.2% vs 5.3%) than adults.These results suggest that pediatric and adult-onset SLE differ in multiple aspects, and it is important to recognize these differences for optimal treatment and prognosis of these patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".