Procedural Characteristics and Outcomes of Transcatheter Interventions for Aortic Coarctation: A Report From the IMPACT Registry
Bibliographic record
Abstract
Background Although surgical repair was the traditional first-line treatment for native coarctation of the aorta (CoA), balloon angioplasty (BA) and stenting are now increasingly being performed. We aimed to determine the practice patterns and acute outcomes of transcatheter interventions for native coarctation in the largest multicenter registry for congenital catheterization. Methods CoA interventions from the IMPACT (IMproving Pediatric and Adult Congenital Treatment) National Cardiovascular Data Registry were analyzed. The procedure choice and acute outcomes were compared among patients with no prior interventions on the aortic isthmus (native CoA). Procedural success was defined as no major adverse events (MAEs) and a final peak gradient of <20 mm Hg and optimal outcome as no MAEs and a final gradient of <10 mm Hg. Results Over the 8-year study period, 5928 CoA procedures were performed, of which 1187 were performed in patients with native CoA. In this group, stenting was performed in more then half of children aged >1 year and >90% of those aged >8 years. Procedural success was achieved in >90% of stenting procedures but in only 69% of BAs. Stent implantation was associated with a higher likelihood of optimal gradient (<10 mm Hg) after adjustment for age and baseline characteristics. MAEs were most common in children aged <1 year (14%), occurred in 2% to 2.5% of those aged 1 to 18 years and in 6.6% of adults ( P < .001), and were more likely after BA than after stenting (odds ratio, 0.5; 95% CI, 0.28-0.9; unadjusted P = .02). Conclusions Catheter interventions for native coarctation are performed safely in older children and adults, with a high degree of immediate procedural success, particularly with stenting.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".