Does Soaking Fresh Frozen Costal Cartilage in an Antibiotic Solution Reduce Postoperative Infection in Rhinoplasty?
Bibliographic record
Abstract
Background: Fresh frozen costal cartilage (FFCC), from the Musculoskeletal Transplant Foundation (MTF), has recently gained popularity for use in revision rhinoplasty or primary rhinoplasty when there is a paucity of autologous cartilage. However, there are currently no guidelines related to the use of intraoperative antibiotic soaking to reduce postoperative infection rates when using MTF FFCC. This study aimed to evaluate the efficacy of intraoperative antibiotic soaks in reducing surgical site infection rate when using MTF FFCC grafts in rhinoplasty. Methods: A retrospective chart review of patients who underwent rhinoplasty with the use of MTF FFCC in the senior author’s practice was conducted between May 2017 and June 2022. The inclusion criteria were rhinoplasty cases using MTF FFCC with minimum of 12 months of follow-up. Fisher exact test was conducted to determine significance in rates of postoperative infection for patients who underwent rhinoplasty with the use of MTF FFCC with (1) intraoperative antibiotic solution soak versus (2) no antibiotic solution soak. Results: A total of 310 patients were included and separated into two cohorts, MTF FFCC intraoperative antibiotic solution soak (n = 200) and no antibiotic solution soak (n = 110). There were a total of four (1.3%) cases of infection, all in the antibiotic soak group. There was no statistically significant difference between the rate of infection in the two cohorts ( P = 0.301). Conclusion: Our retrospective cohort study demonstrates that soaking MTF FFCC in an antibiotic solution intraoperatively does not reduce postoperative infection rates in rhinoplasty.
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How this classification was reachedexpand
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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".