Intracranial haemorrhage in von <scp>W</scp>illebrand disease: a report on six cases
Bibliographic record
Abstract
The incidence of intracranial haemorrhage (ICH) in von Willebrand disease (VWD) is not well documented. We describe our single centre experience regarding ICH in children with VWD and identify how such children presented and were managed. Thirty-three head trauma events leading to medical attention occurred in 24 of 153 children with VWD followed in our institution. In only 15 of these were computed tomography (CT) imaging studies performed; seven in children with type 1 VWD, one in a child with type 2N VWD and seven in children with type 3 VWD. In six of these 15 episodes an ICH was identified: two children with type 1 VWD, one child with type 2N VWD and three children with type 3 VWD. In two of the 6 cases an ICH was only confirmed following a second CT scan. Neurological symptoms, including vomiting (noted in all six), headache, irritability, lethargy and/or alteration in the level of consciousness were present in all children with confirmed ICH. In contrast vomiting, irritability and alterations in level of consciousness were never present in those children without confirmed ICH. All three children with type 3 VWD who experienced an ICH were commenced on long-term prophylaxis. ICH, although rare, does occur in children with VWD and particularly in children with type 3 VWD. A much larger cohort of patients with VWD experiencing an ICH is needed to make recommendations regarding treatment of such events, including the role of prophylaxis in patients with more severe forms of VWD.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".