Prevention and Management of Injection-Related Adverse Effects in Facial Aesthetics: Considerations for ATX-101 (Deoxycholic Acid Injection) Treatment
Bibliographic record
Abstract
ATX-101 (deoxycholic acid injection; Kythera Biopharmaceuticals, Inc. [an affiliate of Allergan plc, Dublin, Ireland]) was approved in 2015 in the United States (Kybella) and Canada (Belkyra) for submental fat reduction. As expected, injection-site reactions such as pain, swelling, and bruising, which were mostly mild or moderate and transient, were common adverse events (AEs) reported in clinical trials. An exploratory Phase 3b study investigating interventions for management of injection-site AEs associated with ATX-101 treatment was recently completed. Based on its results, literature review, and our clinical experiences, we have put forward considerations for management of AEs associated with ATX-101 treatment in clinical practice. Pretreatment with oral ibuprofen and/or acetaminophen an hour before treatment and preinjection with epinephrine-containing buffered lidocaine 15 minutes before treatment can help with management of pain and bruising. Cold application to the treated area before and immediately after the procedure may help to reduce pain (if local anesthetic preinjection is not performed) and swelling. Discontinuing medications/supplements that result in increased anticoagulant or antiplatelet activity 7 to 10 days before ATX-101 treatment, when possible, can reduce the risk of bruising. In summary, injection-site AEs associated with ATX-101 treatment can be effectively managed with commonly used interventions.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".