Atypical Mycobacterial Infection Following Blepharoplasty and Full-Face Skin Resurfacing With CO<sub>2</sub>Laser
Bibliographic record
Abstract
BACKGROUND: With the popularity of laser skin resurfacing for the correction of photoaging and the improvement of acne scarring, it is important to note complications that may result from this procedure. Infections must be recognized and treated early, as some can result in permanent local destruction and systemic spread to other body sites. OBJECTIVE: To increase the awareness of an unusual infection that may result from laser resurfacing. METHODS: We report the case of a 52-year-old woman who presented with two symmetrical nodules 1 month after full-face skin resurfacing with CO2 laser. These were found to be abscesses caused by Mycobacterium fortuitum infection. RESULTS: The diagnosis was established following surgical debridement and subsequent culture grown from the exudate. Oral antibiotic treatment guided by organism sensitivity resulted in complete clearance of the infection with no recurrence or sequelae after 3 years of follow-up. CONCLUSION: This case demonstrates that atypical mycobacterial infections may arise after laser resurfacing procedures, despite proper technique, sterile instrumentation, and appropriate perioperative medications and postoperative wound care. If diagnosed and treated early, this potentially disastrous complication can be cured with no permanent sequelae.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".