Aggressive Purpureocillium lilacinum Kerato-Endophthalmitis in a Diabetic Contact Lens Wearer Culminating in Enucleation: A Case Report and Review of the Literature
Bibliographic record
Abstract
Introduction: Purpureocillium lilacinum (formerly Paecilomyces lilacinus) is an emerging, saprophytic fungus known to cause severe, treatment-refractory ocular infections. It is notoriously clinically resistant to several common antifungal agents, including amphotericin B. Risk factors for Purpureocillium lilacinum (P. lilacinum) keratitis include contact lens wear, ocular trauma, and local or systemic immunosuppression. Case Presentation: We describe the clinical course of a 70-year-old male with type 2 diabetes mellitus and a history of long-term soft contact lens use who presented with a right corneal ulcer. Despite initial treatment with topical voriconazole, the infection progressed over two months to involve the entire globe, resulting in intractable endophthalmitis. Microbiological analysis of corneal scrapings identified P. lilacinum, confirmed by MALDI-TOF mass spectrometry and ITS sequencing. Despite the addition of systemic voriconazole, the patient’s condition deteriorated, leading to a painful blind right eye which ultimately needed enucleation. Conclusions: This case highlights the aggressive potential of P. lilacinum in a host with multiple risk factors. It underscores the critical need for a high index of suspicion, rapid and accurate mycological diagnosis, and immediate, aggressive management. The therapeutic challenges, including intrinsic and emerging antifungal resistance, often necessitate early surgical intervention to prevent catastrophic outcomes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".