Abstract TP397: Clinical And Functional Outcome Of Adult Patients Diagnosed With Moyamoya Disease In Childhood
Bibliographic record
Abstract
Background: Moyamoya disease is a progressive occlusive arteriopathy of the terminal ICA and its branches, leading to the formation of unstable collateral vessels. The disease is found worldwide, and is associated with a number of predisposing conditions, termed moyamoya syndrome. Currently there is a paucity of data on the natural history of moyamoya disease in North America, especially the long-term outcome of pediatric moyamoya. Objective: Our objectives were to determine the rate of recurrent TIA, ischemic stroke and intracerebral hemorrhage in patients presenting with pediatric Moyamoya disease and to assess long-term functional outcome. Methods: This study was a retrospective chart review of 52 patients presenting with pediatric moyamoya disease. We included patients aged 18 or older with a diagnosis of moyamoya disease or syndrome. All patients had confirmatory baseline vascular imaging (MRA or CTA +/- cerebral angiography). Baseline demographic variables and annual vascular event recurrence risk were obtained from the records. Modified Rankin Score (MRS) at presentation and last follow-up were determined from clinical records. Results: Of the original cohort, 34 patients were included for analysis. The mean age of the patients was 23.9 years. The mean age at presentation was 9 years (SD=4) with an average follow-up of 11.3 years (SD=5.1) for a total of 383 patient years. There was slight female predominance (1.4:1). Fifty percent of patients (17) presented with ischemic stroke. A total of 26 patients (76%) underwent surgery, with 7 (21%) requiring repeat surgery. The annual vascular recurrent event rate was 5.0% (19/383), which was not significantly different between surgical and non-surgical groups or between different moyamoya syndrome subtypes. Most of the recurrent events were TIA (annual recurrence 3.7%). There was no significant difference between initial MRS, MRS at last follow-up and mean change in MRS between surgical and non-surgical groups. Conclusion: Our study is the largest North American natural history study of pediatric moyamoya. Our observations indicate that pediatric moyamoya in North America have low recurrent vascular event rates and long-term functional outcomes are good, even in conservatively managed patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".