Manuseio em um estágio de esternotomia infectada com avanço bilateral de flap miocutâneo do peitoral maior
Bibliographic record
Abstract
OBJECTIVE: To assess the results of single-stage treatment of infected sternotomy wounds using bilateral pectorals major myocutaneous advancement flaps. METHODS: Between January 2000 and July 2007, 1972 heart surgeries with median transesternal thoracotomy were performed. Thirteen (0.65%) patients presented wound infections and dehiscence after sternotomy. To treat those patients we adopted exclusively single-stage management, drainage, early intervention and immediate wounds closure using bilateral pectoralis major myocutaneous advancement flaps to the medium line of the sternum. Two patients with superficial wounds infection and other two who underwent torsion adjustment of the steel wire were not included in this study. RESULTS: There was one death in the 30-day postoperative period. There was no intraoperative death. Four patients needed additional surgical intervention to drain residual seroma or local infection. There was total resolution of the sternal infection in 12 patients. CONCLUSION: The authors recommend the single-stage early management of sternotomy infected wounds with debridement, drainage and immediate closure of the wound using bilateral pectoralis major myocutaneous advancement flaps to the medium line of the sternum. The procedure is effective and may contribute to decrease the morbidity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".