Natural history of PHACE syndrome: A survey of adults with PHACE
Bibliographic record
Abstract
BACKGROUND: Awareness of PHACE syndrome has increased; however, little information exists regarding its natural history, especially in patients over the age of 18. We aim to describe the natural history of PHACE to enhance clinical management and counseling of patients. METHODS: A cohort of patients ≥ 18 years was identified through the PHACE Syndrome Registry and a Vascular Anomalies Clinic Database. A cross-sectional survey was designed after a review of the literature by PHACE experts (IF, JP, DS). Questions were selected by consensus, and the survey was conducted using the Qualtrics platform and via in-person interviews. A 75% response rate was found. RESULTS: Eighteen adults-17 females and one transgender male-completed the survey. Respondents ranged in age from 18 to 59, with 24 being the mean age. Eighty-nine percent reported experiencing headaches, and 17% reported experiencing acute but transient symptoms mimicking acute ischemic stroke, later diagnosed as atypical migraines. Thirty-three percent reported hearing loss, and 67% endorsed dental issues. One patient experienced two arterial dissections. Three-fourths who attempted conception were successful, and none of their children had clinical features of PHACE. Because results were based on a retrospective survey, data captured were prone to recall bias and not objective. Results were limited by a small sample size. CONCLUSIONS: Health care providers should be aware of a possible increased risk of neurovascular complications, including atypical migraines mimicking transient ischemic attacks and arterial dissection, in adults with PHACE. Heritability has not been demonstrated, and future studies are needed to assess the risk of infertility.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".