Post-infarction left ventricular free wall rupture: 12-years experience from the Cardiac Centre of the Institute of Clinical and Experimental Medicine in Prague, Czech Republic
Bibliographic record
Abstract
BACKGROUND: Post-infarction left ventricular free wall rupture (LVFWR) is a feared and catastrophic complication of myocardial infarction that carries a high surgical and hospital mortality. Due to the rarity of this complication, little information exists on surgical treatment and outcomes. Goal and Methods. The goal of this study was to present our experience with LVFWR. We present a retrospective cohort of 19 consecutive patients who were surgically treated in the Cardiac Centre of the Institute of Clinical and Experimental Medicine in Prague between January 2006 and December 2017. RESULTS: Thirty-day mortality was 26%. Five patients died. Four patients died in the operating theatre and one patient on the ninth postoperative day following re-rupture. Seventy-four percent of the patient cohort survived and were discharged from hospital. The median length of follow-up was 45 months (range 0.75-150). No patient died during follow-up. Median postoperative ejection fraction was 45% (range 25-65%). Angina pectoris and dyspnea were investigated during follow-up and graded according to the Canadian cardiology society (CCS) and the New York Heart Association (NYHA) classifications. Fourteen patients had CCS class I, eight patients had NYHA class I dyspnea and six patients had NYHA class II. Re-rupture occurred after hospital discharge in one patient one month after the original surgery. The patient was treated successfully by urgent surgical intervention. CONCLUSION: LVFWR is a catastrophic and challenging complication of myocardial infarction. Good outcomes can be achieved by rapid diagnosis and urgent surgical intervention as shown by our results.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".