Pediatric bacterial keratitis: clinical features, causative organisms, and outcome during a 13-year study period
Bibliographic record
Abstract
OBJECTIVE: To review the clinical features, causative organisms, complications, and outcomes of patients with pediatric bacterial keratitis at a tertiary care eye hospital. METHODS: We conducted a retrospective study at a tertiary care eye centre on clinically diagnosed pediatric patients with bacterial keratitis between 2007 and 2019. Poor outcomes were labelled if any of the following were present: final best-corrected visual acuity worse than 20/200, a drop in best-corrected visual acuity by 1 line or more, perforated corneas, endophthalmitis, and graft failure. RESULTS: The study included 43 cases of bacterial keratitis. Female and male patients represented 60.5% and 39.5% of the sample, respectively, with a mean age of 9.3 ± 5.9 years. The rate of culture positivity was 60.5%. The most common causative organisms were coagulase-negative Staphylococcus (23.1%), Pseudomonas (23.1%), and Streptococcus pneumoniae (19.2%). Culture-positive bacterial keratitis was associated with infiltrates ≥2 mm (p = 0.039), as determined by the results of multivariate analysis. Gram-positive and gram-negative bacteria exhibited 100% sensitivity to the tested fluoroquinolones. Complications included visually significant scars (55.8%), cataracts (14.0%), perforations (9.3%), corneal neovascularization (7.0%), nonhealing epithelial defects (7.0%), and endophthalmitis (4.7%). Corneal perforation was associated with the development of endophthalmitis (p < 0.001). On multivariate analysis, the only factor associated with a poor outcome was poor presenting visual acuity (p = 0.020). CONCLUSION: Gram-positive bacteria were the most common cause of pediatric microbial keratitis. Positive cultures were associated with larger infiltrates. The only adverse prognostic factor was poor presenting vision.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".