Total Nose and Upper Lip Replantation: A Case Report and Literature Review
Bibliographic record
Abstract
The nose plays a critical role in olfaction, air filtration and humidification, and facial aesthetics. Most nasal amputations result from animal bites, human bites, and lacerations from glass. Successful replantation yields the best aesthetic and functional outcomes and is preferred compared with multistage nasal reconstruction. However, nasal replantation is technically challenging; establishing venous outflow can be particularly difficult. A 17-year-old male sustained a complete nose and upper lip amputation in a motor vehicle accident. The midface segment was emergently replanted. Two arteries (left dorsal nasal artery, left superior labial artery) and 1 vein (branch of the left supratrochlear artery) were anastomosed using microsurgical technique. A vein graft, systemic anticoagulation, and postoperative leeching were important adjuncts. Total operative time was 10 hours. Cold ischemia time was 2 hours and warm ischemia time was 1 hour. Two arteries were anastomosed to minimize the risk of ischemia of the nose and/or upper lip. Complete survival of the replanted segment was achieved. Eighteen months postoperatively, the patient has bilateral nasal patency, intact septal support, and an excellent aesthetic result. All efforts should be made to establish a venous anastomosis during nasal replantation to maximize functional and aesthetic outcomes. Partial necrosis is common following artery-only replantation, leading to tissue loss and contracture.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".