Atopic keratoconjunctivitis complicated by Kocuria koreensis keratitis: the first case
Bibliographic record
Abstract
Patients with atopic dermatitis have a predisposition to Staphylococcus aureus and a Herpes simplex virus infection. The treatment of atopic diseases with steroid and immunosuppressive agents induces opportunistic infection. However, there is a concern regarding visual prognosis in patients with atopic keratoconjunctivitis (AKC) complicated with infectious keratitis. We report an unusual case of an atopic shield ulcer with Kocuria keratitis. A 51-year-old Japanese man presented with a 14-day history of eye pain and visual loss in his left eye. At the initial examination, a shield ulcer was observed in the upper-central cornea of the left eye, and the conjunctiva in both eyes had a velvety appearance due to papillary formation, as well as hyperemia and swelling in the palpebral area. The shield ulcer showed white stromal opacification in the marginal zone with a coral-like appearance. Samples were obtained by corneal scraping, and Kocuria sp. was identified by microbiological examination including culture and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. The 16S rRNA gene sequence analysis was performed using isolated Kocuria strain from the patient. The obtained DNA sequence showed 99% homology with Kocuria koreensis. The combination of corneal scraping and instillation of cefmenoxime antibiotic ophthalmic solution was considered useful for the treatment of Kocuria keratitis. Clinicians should be aware of Kocuria keratitis as a corneal complication of AKC, and that rapid diagnosis of Kocuria keratitis may improve visual prognosis.
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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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 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".