Ocular Cicatricial Pemphigoid, Keratomycosis, and Intravenous Immunoglobulin Therapy
Bibliographic record
Abstract
PURPOSE: To report the case of a patient developing fungal keratitis in the context of uncontrolled ocular cicatricial pemphigoid (OCP), which, despite intravenous immunoglobulin (IVIg) and other immunomodulatory therapy, progressed to end-stage pemphigoid, with corneal opacification, ankyloblepharon, and xerosis. Keratoprosthesis (KPro) restored functional vision for the patient. METHODS: A 39-year-old man presented with uncontrolled CP and corneal ulcer in the left eye. Conjunctival biopsy diagnosed OCP; corneal scraping and biopsy diagnosed the cause of the corneal ulcer. OCP was treated with systemic steroids, immunosuppressive drugs, and IVIg. Visual rehabilitation was accomplished with Ahmed valve and a type II Dohlman KPro. RESULTS: Immunohistology of the biopsied conjunctiva showed IgG at the epithelial basement membrane zone, confirming the clinical diagnosis of OCP. Microbiologic studies of the corneal biopsy specimen were negative for Acanthamoeba and herpes but positive for Aspergillus niger. The patient's keratomycosis resolved with topical antifungal therapy. Treatment with Dapsone, intravenous-pulse steroid, oral cyclophosphamide, and intravenous immunoglobulin (IVIg) failed to control the OCP, with resultant complete conjunctivization of the cornea. Keratoprosthesis improved the patient's visual acuity from hand movements to 20/20. CONCLUSIONS: Patients with uncontrolled OCP are at increased risk of corneal infection. The difficulty in diagnosing keratomycosis and the relatively rare occurrence of OCP explain the uniqueness of our reported case. OCP may progress to "end-stage" disease despite therapy. Keratoprosthesis can restore vision in selected otherwise seemingly hopeless cases.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".