Use of MIDCAB procedure for redo coronary artery bypass.
Bibliographic record
Abstract
BACKGROUND: Reoperative coronary artery bypass grafting (CABG) procedures are growing in importance due to the increasing number of patients requiring another bypass operation. Conventional redo-procedures are associated with an increased mortality and morbidity. To reduce risk, minimally invasive direct coronary artery bypass (MIDCAB) using the left internal mammary artery (LIMA) to the left anterior descending branch (LAD) may be preferable, when indicated, in selected patients. We report a series of patients who underwent this procedure for redo-CABG in our center. METHODS: Since April 1997, 20 male patients who had undergone prior CABG using conventional procedure, were reoperated using the LIMA to LAD through a lateral minithoracotomy on the beating heart. Nineteen patients presented for a redo-CABG; one patient required a second-time redo-CABG. Two patients required concomitant PTCA of a second vessel as hybrid procedure. We reviewed these redo cases and studied their surgical results for mortality, morbidity, operation time, and hospital stay. RESULTS: Mean operation time was 139 min (90-180). Four patients were extubated directly postoperatively; the others had a short period of ventilatory support. There was no myocardial infarction, no deaths or need of inotropic support postoperatively. No patient required re-exploration for bleeding. All patients could be mobilized and discharged early. At present, all patients are living and classified as CCS class I or II. CONCLUSIONS: Our results indicate that MIDCAB using IMA grafts for reoperation is a safe procedure with low risk for morbidity and mortality. This surgical technique is a useful alternative to conventional redo CABG in selected patients when complete revascularisation is not indicated.
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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 | 0.000 | 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) | 0.004 | 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".