Serum Autoantibodies and Their Clinical Associations in Patients with Childhood- and Adult-Onset Linear Scleroderma. A Single-Center Study
Bibliographic record
Abstract
OBJECTIVE: To determine the frequency of selected serum autoantibodies and their clinical associations in patients with childhood-onset (ChO) or adult-onset (AO) linear scleroderma (LiScl) evaluated at a single institution. METHODS: Seventy-two patients (ChO = 40, AO = 32), including 12 with en coup de sabre, were studied. All ChO patients had disease onset before age 16 years. Clinical features (extent of cutaneous disease, activity, and joint contractures) were recorded. Antinuclear antibodies (ANA) were identified by indirect immunofluorescence (HEp-2 cells), and anti-single-stranded DNA (anti-ssDNA), antihistone (AHA), and antichromatin (AChA) autoantibodies were detected by ELISA. RESULTS: There were no significant differences between groups in regard to gender, proportion with LiScl/E, or clinical features except joint contractures (ChO > AO; p = 0.04). There were no differences in the frequency of ANA or other autoantibodies between the groups except for AHA (ChO > AO). AHA was more frequently found with anti-ssDNA (p < 0.0001). LiScl patients with positive anti-ssDNA and/or AHA had more extensive cutaneous involvement and more often had joint contractures (p < 0.05). Anti-ssDNA was present more frequently in AO than in ChO patients with active lesions (p = 0.04). ANA and AChA were not associated with any clinical features. Both AHA and anti-ssDNA levels showed good correlation with disease severity. CONCLUSION: Over two-thirds of LiScl patients had ANA. Patients with ChO were similar to those with AO with regard to the frequency of selected serum autoantibodies. Anti-ssDNA and AHA were frequently found together and both were associated with more extensive skin disease with joint contractures. LiScl disease severity correlated with the serum levels of both these antibodies.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".