Headaches in Children After Transcatheter Device Closure of Atrial Septal Defects: A Single-Centre Experience
Bibliographic record
Abstract
Background: Transcatheter device closure (TDC) is the most common treatment for isolated atrial septal defects in children. In the adult population, the incidence of new-onset migraine headache after TDC is well recognized and is estimated at 15%. New-onset headache after paediatric TDC has not been well described. We reviewed our centre's experience to estimate the rate of headache complaints among paediatric patients after TDC. Methods: We performed a single-centre, retrospective review of all children who underwent TDC between January 1, 2018, and December 31, 2021. For the included patients, we comprehensively reviewed the electronic medical record to identify patients reported to experience post-TDC headache. Results: A total of 165 consecutive patients underwent TDC during the study period. Of these, 134 met inclusion criteria, and 20 patients (15%) had headache documented in the electronic medical record. Of 20 patients, 4 (20%) had headaches that led to further investigation or changed postprocedural medical management. Two patients had brain magnetic resonance imaging to investigate headaches; both studies were interpreted as nonpathologic. One patient required emergency department management for status migrainosus. A second, with a prior history of migraine, required admission for migraine exacerbation. In addition to those needing symptomatic management, 3 patients had a change in their antiplatelet regimen from aspirin to clopidogrel. Conclusions: Our study suggests a minimal estimate of 15% as the incidence of headache in children who undergo TDC. This estimate can inform counselling before TDC. Determination of the true incidence will require focused prospective data collection.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".