Corneal Endothelial Blebs Induced in Scleral Lens Wearers
Bibliographic record
Abstract
SIGNIFICANCE: In the bleb phenomenon, some endothelial cells transiently lose their specular reflection. This has been reported during contact lens wear and goggle-induced hypoxia or hypercapnia. PURPOSE: The purposes of this study were to determine whether blebs appear after scleral lens wear and if their appearance is influenced by lens clearance and to compare bleb and cell sizes. METHODS: Twenty-one subjects were fitted with two similar scleral lenses with different targeted clearances of 200 and 400 μm (the SL200 and SL400, respectively). Each lens was worn unilaterally for 25 minutes, whereas the other eye served as a control. Before and after lens wear, the endothelium was photographed using specular microscopy. The number of blebs and measurements of the areas of cells and blebs were analyzed. Paired t tests compared differences in the areas of cells and blebs. Differences in median bleb number were evaluated using the Wilcoxon test. RESULTS: After wearing the SL200 and SL400 lenses, respectively, 9 and 14 subjects had at least one bleb. The median bleb number after wearing lenses was significantly different (SL200, 0.00; SL400, 1.00; P = .02). Bleb and cell areas were significantly different (blebs, 293 ± 28; cells, 370 ± 32 μm; P < .0001). CONCLUSIONS: After 25 minutes of wearing scleral lenses with each of the two targeted clearances, SL400 induced significantly more blebs than did SL200, suggesting evidence of reduced oxygen and/or increased carbon dioxide levels under scleral lenses fitted with excessive clearance. Blebs may occur more in smaller cells.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".