Candida infection of zygomatic implants/fillers in an HIV-positive patient: A case report
Bibliographic record
Abstract
Introduction: Facial fillers are a common procedure that has gradually been increasing in popularity. While most cases of facial fillers have good outcomes, a small percentage have associated complications, with infection being one of the most common. Case Report: We present a case of a 63-year-old human immunodeficiency virus (HIV)-positive male who presented to the emergency department following a two-week history of a swollen and tender right cheek. The patient had a history of facial cosmetic procedures, including facial fillers and cheek implants. Infection was suspected and the patient was sent for a computed tomography (CT) scan that revealed the presence of a peripherally enhancing organized fluid collection overlying the right zygomatic bone. Analysis of the fluid revealed the presence of Candida albicans. The abscess was drained and treated with a two-week course of fluconazole. Conclusion: For oral and maxillofacial surgeons as well as radiologists, this case report highlights the importance of being familiar with the normal anatomical location and radiologic appearance of facial fillers and their associated complications.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".