The Potential Role of Corticosteroid Prophylaxis for the Prevention of Microscopic Fat Embolism Syndrome in Gluteal Augmentations
Bibliographic record
Abstract
BACKGROUND: Microscopic fat embolism syndrome (micro-FES) has been recently identified as a potentially fatal complication following gluteal augmentation utilizing autologous fat grafts; safety recommendations advocating for subcutaneous lipo-injections may be insufficient for its prevention. OBJECTIVES: The authors of this systematic review evaluated the potential role of corticosteroid prophylaxis for the prevention of micro-FES in gluteal augmentation procedures. METHODS: The authors performed a systematic search employing the National Library of Medicine (PubMed), Medline, and Embase databases. Search terms were those pertaining to studies reporting the efficacy of prophylactic corticosteroid administration on micro-FES incidence in a high-risk surrogate population. RESULTS: Thirteen articles met the inclusion criteria for review, comprising 2 studies reporting on the efficacy of a single intravenous (IV) corticosteroid dose for the prophylaxis of micro-FES, 9 studies reporting on multiple prophylactic IV doses, and 2 additional studies reporting on the efficacy of inhaled corticosteroids in this context. All studies were identified from the orthopedic literature given that none were available directly from within plastic surgery. The prophylactic efficacy of multiple IV doses of methylprednisolone, or a single larger dose, was established, whereas the efficacy of inhaled corticosteroids remains elusive. CONCLUSIONS: A single perioperative IV dose of methylprednisolone may be most appropriate for utilization by plastic surgeons; the safety and implication of this therapy on wound healing and fat graft survival are discussed. Further studies directly evaluating the efficacy of corticosteroid prophylaxis in the gluteal augmentation population are indicated. Finally, recommendations pertaining to the prevention, timely recognition, and effective management of micro-FES are discussed.
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".