Postoperative Ecchymosis and Edema After Creation of Subperiosteal Tunnels in Rhinoplasty
Bibliographic record
Abstract
IMPORTANCE: Periorbital ecchymosis and edema are commonly associated with rhinoplasty and are the principal limiting factors for return to daily activities after rhinoplasty. Several methods have been evaluated to minimize these sequelae including creation of subperiosteal tunnels, which involves elevating the vascular periosteal layer, preserving it from trauma when creating osteotomies. OBJECTIVE: To assess the efficacy of the creation of subperiosteal tunnels prior to lateral osteotomies during rhinoplasty for reducing postoperative ecchymosis and edema. DESIGN, SETTING, AND PARTICIPANTS: A randomized, blinded, matched-paired, prospective, clinical trial took place between April 1 and August 30, 2015, in a private practice in a stand-alone clinic and surgical center. All patients who were undergoing aesthetic rhinoplasty requiring bilateral lateral osteotomies were offered inclusion in the trial. All 34 enrolled patients completed the follow-up requirements. INTERVENTION: Creation of subperiosteal tunnels prior to lateral osteotomies on 1 randomly selected side. MAIN OUTCOMES AND MEASURES: Three blinded evaluators independently graded the degree of ecchymosis and edema on a visual analog scale of 0 to 10 on each side of the nose on postoperative days 2 and 7. Each patient had 1 side that was randomly selected to undergo creation of subperiosteal tunnels. A difference in mean score between sides of the nose was calculated for each patient using a paired t test. RESULTS: Of the 34 patients (28 females and 6 males; mean [SD] age, 27.3 [9.2]), the mean (SD) difference in ecchymosis scores between sides on day 2 was -0.05 (1.94) (95% CI, -0.43 to 0.33) and on day 7 was -0.22 (1.23) (95% CI, -0.47 to 0.02), favoring the side without tunnels. The mean (SD) difference in edema scores on day 2 was -0.21 (1.66) (95% CI, 0.53-0.12) and on day 7 was -0.29 (1.11) (95% CI, -0.51 to -0.07). There were no clinically significant differences between sides in terms of postoperative ecchymosis and edema. CONCLUSIONS AND RELEVANCE: Ecchymosis and edema can have significant postoperative practical, emotional, and financial effects on patients. Creation of subperiosteal tunnels prior to lateral osteotomies showed no clinically significant differences in edema and ecchymosis after the procedure. LEVEL OF EVIDENCE: 1. TRIAL REGISTRATION: isrctn.org Identifier: ISRCTN42741475.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".