Rare Case of Thygeson Superficial Punctate Keratitis After COVID-19 Vaccination
Bibliographic record
Abstract
PURPOSE: The aim of this study was to elucidate a rare corneal association of the coronavirus disease 2019 (COVID-19) vaccine. Although cases of corneal involvement after vaccination have been reported, we present the first case of Thygeson superficial punctate keratitis (TSPK) linked to the COVID-19 vaccine. METHODS: This study is a case report. RESULTS: A 25-year-old woman was assessed in the ophthalmology clinic for recurrent ocular surface symptoms after receiving the COVID-19 vaccine. She was followed in clinic and was found to have a remitting and recurring pattern of bilateral intraepithelial corneal opacities with associated subepithelial haze primarily overlying the pupillary area. These corneal lesions responded well to topical corticosteroid ophthalmic drops. Based on the clinical appearance, the response to treatment, negative herpes simplex virus serology, and the temporal relationship between vaccination and ocular findings, a diagnosis of COVID-19 vaccine-induced TSPK was suspected. CONCLUSIONS: Although the COVID-19 vaccine remains overwhelmingly safe, clinicians should be aware of possible corneal side effects, including TSPK. Prompt ophthalmic assessment in those presenting with ocular symptoms after vaccination is encouraged.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".