Surgically-Induced Necrotizing Scleritis After Pars Plana Vitrectomy: A Case Report
Bibliographic record
Abstract
Surgically induced necrotizing scleritis (SINS) is a rare delayed hypersensitivity reaction following ocular surgeries, characterized by pain and redness at the surgical site. While commonly reported in various ocular surgeries, its occurrence after vitreoretinal procedures remains infrequent. We present a case of a 61-year-old diabetic male who developed progressive scleral melting and uveal exposure two months after an uneventful 23-gauge vitrectomy for retinal detachment. The infectious and immunologic profile was negative. Despite aggressive medical and surgical interventions, the patient exhibited advancing scleral melting. The diagnostic challenge lies in determining the relative contributions of trauma, epithelial breakdown, immune activation, and infection in these patients. Our patient's uncontrolled diabetes potentially aggravated vascular disruption, contributing to delayed wound healing and immune complex deposition. The treatment involved topical steroids with broad-spectrum antibiotics, followed by conjunctival flap and oral corticosteroids. This case underscores the importance of early diagnosis, cautious immunosuppression, and thorough infection evaluation in managing postoperative scleritis. The limitations include a single culture test and the patient being lost to follow-up.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| 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".