von Willebrand factor antigen--a possible biomarker of disease activity in childhood central nervous system vasculitis?
Bibliographic record
Abstract
OBJECTIVE: The main objective was to develop a trajectory for von Willebrand factor (vWF) antigen in childhood primary CNS vasculitis (cPACNS) after treatment and compare this with disease activity and other inflammatory markers. METHODS: A single-centre cohort study of consecutive children diagnosed with cPACNS was performed. Demographic, clinical, laboratory, imaging and histological data were collected at diagnosis and during standardized clinic visits. Outcome measures included disease activity measured by physician global assessment and serial measures of vWF antigen. Analysis included descriptive statistics and parametric methods. RESULTS: The study cohort consisted of 39 children diagnosed with cPACNS: 25 with angiography-negative cPACNS and 14 with angiography-positive disease. Twenty-one patients were female, median age at diagnosis was 9.8 years, and median follow-up was 18 months. All patients presented with neurological deficits. Disease activity and neurological outcome improved significantly during follow-up. vWF antigen levels were increased at diagnosis in 65% of children with cPACNS and were decreased significantly after treatment. In contrast, levels of CRP and ESR fluctuated over time. Higher vWF antigen levels at diagnosis were associated with lower measures of disease activity at 12 months. CONCLUSION: In our study, all children with cPACNS improved over time. Changes in CRP and ESR, other laboratory tests, and MRI did not consistently reflect altered disease activity. However, vWF antigen may help clinicians to identify changes in disease activity during follow-up and predict treatment response. Controlled studies are necessary to evaluate the sensitivity and specificity of vWF antigen as a biomarker of disease activity.
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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) | 0.000 | 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".