Screening for pulmonary and cerebral arteriovenous malformations in children with hereditary haemorrhagic telangiectasia
Bibliographic record
Abstract
Hereditary haemorrhagic telangiectasia (HHT) is an autosomal dominant disease characterised by vascular dysplasia complicated by visceral arteriovenous malformations (AVMs). To date, the diagnostic yield of screening procedures for pulmonary and cerebral AVMs in children with definite or potential HHT is not well defined. The aim of the present study was to prospectively evaluate the diagnostic yield of a screening protocol for pulmonary and cerebral AVMs in children with either a definite or potential HHT diagnosis. All children referred for evaluation for HHT between 1996 and 2008 were included in the present analysis. Screening tests for AVMs included chest computed tomography and brain magnetic resonance imaging. 61 children with a definite clinical and/or genetic diagnosis of HHT were asymptomatic for visceral AVMs at their first baseline assessment (mean+/-SD age 8.7+/-4.7 yrs; range 0-17.0 yrs). Of these, 15 (25%) had pulmonary and/or cerebral AVMs diagnosed on initial screening tests. Pulmonary AVMs predominated in paediatric HHT patients (14 out of 15 patients) and were found in eight children aged <10 yrs. 55 children had a potential HHT diagnosis as they fulfilled only one or two HHT clinical diagnostic criteria and did not have a confirmatory genetic diagnosis (age 10.9+/-4.8 yrs; range 0-17.9 yrs). None of these children had pulmonary or cerebral AVMs on initial screening tests. The present data suggest that children with a definite HHT diagnosis have a high frequency of pulmonary AVMs even when clinically asymptomatic. In contrast, no AVMs were observed in children not fulfilling HHT diagnostic criteria. Genetic testing appears to be useful in defining an at-risk group for pulmonary AVMs in childhood.
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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".