Complex Nasal Reconstruction in a Wide-awake Ambulatory Setting: A Study of Efficacy and Perioperative Patient Experience
Why this work is in the frame
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Bibliographic record
Abstract
The use of local anesthesia in nasal surgery has gained popularity as a cost-effective and safe alternative. With the potential benefit of reconstruction without using general anesthesia, the goal of the study was to evaluate the patient-reported experience in addition to surgical outcomes and perioperative complications. Methods: A mixed-methods study was completed with retrospective chart review and patient-reported outcome questionnaire. The primary outcome measures were demographics, oncologic and surgical details, and postoperative complications. Secondary outcome measures were aesthetic outcomes and procedure tolerance, which were gathered from the FACE-Q questionnaire. Results: Of the 22 patients who met inclusion criteria, nine patients (41%) had forehead flaps performed and 13 patients (59%) had multilayer reconstruction with local flaps and cartilage grafts. The average number of surgeries performed, including revisions, was 2.3 ± 0.2. The overall complication rate for reconstructions and revisions was 20%, most of these were minor complications. The overall subjective rating of patient's appearance was excellent with an average score of 83.9 (± 17.3) out of 100. There was minimal appearance distress as a product of the surgery with an average score of 84.9 (±18.8). On a scale of one to five, patients reported an average of 4.3 for convenience, 3.8 for efficiency of setup and procedure, and 3.4 out of 5 for comfortability with having an operation performed on their face wide awake. Conclusion: Our study demonstrated that complex nasal reconstruction performed under local anesthetic in a minor procedure setting is a feasible and safe option with good patient-reported outcomes.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it