Infectious Complications of Bio-Alcamid Filler Used for HIV-Related Facial Lipoatrophy
Bibliographic record
Abstract
BACKGROUND: Human immunodeficiency virus (HIV)-related facial lipoatrophy is a devastating adverse effect of antiretroviral therapy. At this time, the most viable treatment option is cosmetic surgery with synthetic fillers. Bio-Alcamid has many advantages over other fillers, and has become widely used. The objective of this study was to determine the incidence rate of infectious complications associated with Bio-Alcamid facial filler in patients with HIV-related facial lipoatrophy (FLA). METHODS: This retrospective study identified patients who had received treatment with Bio-Alcamid, and reviewed their long-term outcomes. RESULTS: Two hundred sixty-seven patients with Bio-Alcamid were reviewed. Infectious complications were documented in 56 (19%) patients. The incidence rate of infection was 0.07 per patient-year of follow-up. Among patients with infections, the median time from first Bio-Alcamid treatment to infection was 32 months (interquartile range, 21-42). We did not find an association between the development of infection and the level of immune suppression by HIV. Surgical drainage in addition to antibiotics was required for the majority of patients. Potential risk factors for infection include severity of FLA and a preceding history of facial manipulation, including Bio-Alcamid touch-up treatments, cosmetic surgery, facial trauma, and dental work. CONCLUSIONS: Bio-Alcamid treatment of HIV-related FLA was associated with a high rate of infectious complications, often presenting years after treatment. Antibiotic prophylaxis should be considered in patients with Bio-Alcamid prior to dental work or facial manipulation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.000 |
| 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".