Intracranial bleeding in haemophilia beyond the neonatal period – the role of CT imaging in suspected intracranial bleeding
Bibliographic record
Abstract
We conducted a review of a single institutional experience of patients with haemophilia presenting with suspected intracranial haemorrhage (ICH) who underwent computed tomographic (CT) neuro-imaging. We found that over a 9-year period (1996-2004) 43 patients with haemophilia presented 73 times with suspected ICH: 10 presented multiple times (range: 2-9 times). The median age at presentation was 3.5 years (range: 0.5-17). Preceding trauma occurred in most (62/73; 85%) episodes. ICH was confirmed in 11 of the 73 (16%) episodes in eight patients. Patients with severe haemophilia accounted for a disproportionate number of episodes of suspected (60/73; 82%) and of confirmed ICH (10/11; 91%). All ICH occurred in patients not on prophylaxis; five occurred in three inhibitor-positive patients. Altered consciousness at presentation was present in 10/11 (91%) cases of confirmed ICH but only in 5/62 (8%) (ICH-negative) episodes. The positive and negative predictive values of altered consciousness to predict/rule out an ICH was 67% and 98%, respectively. The following were associated with an increased risk of presenting with suspected ICH and of having a confirmed ICH: (i) having severe haemophilia; (ii) not being on prophylaxis; (iii) having an inhibitor; and (iv) presenting with an altered level of consciousness. Patients without any of these features may not need to undergo CT imaging when presenting with suspected ICH. Ideally a prospective study to evaluate this hypothesis should be conducted.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".