Initial Experience with Intraventricular Repair Using CorMatrix Extracellular Matrix
Bibliographic record
Abstract
OBJECTIVE: Pericardial patches for intraventricular repair are limited by progressive calcification, thickening, and retraction. The aim of this study was to evaluate the safety of CorMatrix extracellular matrix (ECM) for intraventricular repair of mechanical complications of myocardial infarction (MI). METHODS: CorMatrix ECM is a novel material synthesized from decellularized porcine small intestinal submucosa. Between July 2011 and October 2012, a total of 11 consecutive patients with post-MI complications including ventricular aneurysm (n = 7), ventricular septal defect (VSD; n = 3), and both aneurysm and VSD (n = 1) underwent patch repair using CorMatrix ECM. Clinical follow-up and interval transthoracic echocardiography data were collected. RESULTS: Eleven patients underwent Dor or linear left ventricular aneurysm repair and/or patch VSD repair. There were two reoperations and one surgical mortality but no cases of CorMatrix ECM repair failures. The mean ± SD clinical follow-up was 207 ± 211 days, and the longest follow-up was 642 days, during which there was no readmission for any cardiac cause or death. The mean ± SD transthoracic echocardiography follow-up was 176 ± 220 days, which demonstrated integrity of CorMatrix ECM repair in all cases. CONCLUSIONS: In our series, CorMatrix ECM was a safe alternative for ventricular patch repair of mechanical complications after MI in the short-term. This series supports the continued study of the efficacy and the regenerative potential of this novel material for cardiac repair.
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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 | 0.003 |
| 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 | 0.001 |
| 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".