Bibliographic record
Abstract
Coronary reperfusion therapies have led to a reduction in the incidence of mechanical complications of acute myocardial infarction (AMI), but the associated mortality of these complications has remained high. Ventricular septal rupture is the most common mechanical complication after myocardial infarction and occurs in approximately 0.21% with ST-segment elevation myocardial infarction and in 0.04% with non-ST-segment elevation myocardial infarction. Surgery is the only definitive treatment but it is associated with high operative mortality and morbidity and, in some centers, alternative treatment with mechanical support of circulation and trans-catheter closure of the defect is being used. We continue to believe that immediate surgery offers the best opportunity for long-term survival. Patients should be taken directly to the operating room or via the heart catheterization laboratory if the coronary artery anatomy is unknown. This should be done as soon as the diagnosis is made, as acute rupture of the interventricular septum is a surgical emergency. The operative technique of infarct exclusion has been our preferred method and when performed in hemodynamically stable patients, the operative mortality is around 10%, although much higher in patients in cardiogenic shock. Patch dehiscence and persistent shunts are uncommon after closure of the defect using this technique. Delaying operative intervention in hemodynamically stable patients frequently leads to cardiogenic shock and multi-organ failure. Transcatheter closure of these acute septal lesions is complex, not necessarily feasible in all patients, and there is no evidence that the results are superior to surgery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| 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) | 0.005 | 0.001 |
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".