Transcatheter Closure of Post-myocardial Infarction Ventricular Septal Rupture
Bibliographic record
Abstract
BACKGROUND: Ventricular septal rupture (VSR) after acute myocardial infarction (AMI) is a potentially lethal mechanical complication of acute coronary syndromes. Given high surgical mortality, transcatheter closure has emerged as a potential strategy in selected cases. We report our single-center experience with double-umbrella device percutaneous closure of post-AMI VSR. METHODS AND RESULTS: In this single-center, retrospective, cohort study, patients who underwent transcatheter closure of post-AMI VSR between 1988 and 2008 at Boston Children's Hospital were included. Data were analysed according to whether the patients underwent direct percutaneous VSR closure or closure of a residual VSR after a previous surgical approach. Primary outcome was mortality rate at 30 days. Clinical predictors of primary outcome were investigated using univariate logistic regression. Thirty patients were included in the study (mean age, 67±8 years). A total of 40 closure devices were implanted. Major periprocedural complications occurred in 4 (13%) patients. Cardiogenic shock, increasing pulmonary/systemic flow ratio, and the use of the new generation (6-arm) STARFlex device all were associated with higher risk of mortality. The Model for End-Stage Liver Disease Excluding international normalized ratio (MELD-XI) score at the time of VSR closure seemed to be most strongly associated with death (odds ratio, 1.6; confidence interval, 1.1-2.2; P<0.001). CONCLUSIONS: Transcatheter closure of post-AMI VSR using CardioSEAL or STARFlex devices is feasible and effective. The MELD-XI score, a marker of multiorgan dysfunction, is a promising risk stratifier in this population of patients. Early closure of post-AMI VSR is advisable before establishment of multiorgan failure.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".