Neurologic conditions in Hereditary Hemorrhagic Telangiectasia with pulmonary arteriovenous malformations: Database study
Bibliographic record
Abstract
RATIONALE/OBJECTIVE: Hereditary Hemorrhagic Telangiectasia (HHT) is an autosomal dominant genetic disorder affecting vascular maturation, with a prevalence of 1 in 3800 people in Alberta. Pulmonary arteriovenous malformations (PAVMs) affect 35–40% of individuals with HHT and can lead to recurrent embolic neurologic conditions, including stroke and transient ischemic attack (TIA), and the development of brain abscess due to intrapulmonary right-to-left shunt (RLS) in conjunction with intermittent bacteremia.METHODS A retrospective review of the Edmonton HHT Registry was conducted, where participants with possible or definite HHT were evaluated for PAVM-related neurologic conditions.RESULTS A total of 218 study subjects were included, of whom 80 had PAVMs. A trend was noted where those HHT subjects with PAVMs had a greater prevalence of stroke, TIA, migraines, seizures and brain abscess compared to those subjects with HHT who did not have PAVMs. However, the association between individual neurologic conditions and PAVMs was not statistically significant. After controlling for potential confounders of age and sex, HHT-PAVM subjects had 1.44 times the odds of associated serious neurologic condition, compared to those who did not have PAVMs (OR = 1.44, 0.74-2.78, p = 0.28).CONCLUSION Although our study did not show statistical significance, the strong positive trends suggest that PAVMs can give rise to neurologic conditions, in line with existing literature. A larger database may provide more definitive evidence. Future work should evaluate the effect of PAVM feeding artery size, architecture and shunt grade on neurologic conditions.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".