Vascular compromise from soft tissue augmentation: experience with 12 cases and recommendations for optimal outcomes.
Bibliographic record
Abstract
The popularity of soft tissue fillers is, in part, due to their favorable side-effect profile. However, serious complications can occur. The authors describe their extensive clinical experience with soft-tissue augmentation and the rare complication of vascular compromise, which can lead to necrosis and scarring. Over a 10-year period between January 2003 and January 2013, the authors observed a total of 12 cases of vascular compromise. Eight patients in their clinical practice showed evidence of vascular compromise out of a total of 14,355 filler injections (0.05%). In addition, four patients treated with an experimental particulate filler had vascular complications. All cases were examined for filler type, location of complication, risk factors, treatment, and outcomes. Although treatment plans differed for each patient in their series, all cases of vascular compromise resolved fully. The authors believe that an office-based protocol for both immediate and ongoing care-including a thorough individualized assessment and treatment plan for each patient-is critical to timely and effective resolution of side effects. They propose key recommendations for the prevention and management of vascular compromise to improve patient outcomes and reduce the risk of permanent complications.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".