One-Year Outcomes of Hydrus Microstent Combined With Cataract Surgery: Efficacy Across Glaucoma Severity Levels
Bibliographic record
Abstract
PRÉCIS: The Hydrus Microstent combined cataract surgery reduces IOP and medication use in mild-to-moderate glaucoma. For severe open angle glaucoma, it reduces medication use while maintaining a favorable safety profile. PURPOSE: This study evaluates the 12-month clinical outcomes of Hydrus Microstent combined with cataract surgery in eyes with open angle glaucoma stratified by disease severity. MATERIALS AND METHODS: Retrospective, single-surgeon cohort study. Eyes with mild-to-moderate and severe glaucoma undergoing Hydrus implantation combined with cataract surgery were included. Primary outcomes were complete (no medication) and qualified (with medication) success (6-21 mm Hg) at 1 year. Secondary outcomes included IOP, number of glaucoma medications, complications, failure, and success rates for 6-18 and 6-15 mm Hg IOP thresholds. RESULTS: A total of 147 eyes from 100 patients with a median baseline IOP of 16.0 [IQR: 14.0-20.0] on 2.0 [1.0-3.0] medications were included. Complete success was achieved in 78% and qualified success in 93% of eyes, with mild-to-moderate glaucoma achieving 77% and 92%, and severe glaucoma achieving 84% and 96%, respectively. In the mild-to-moderate group, mean IOP decreased from 17.1±3.8 mm Hg (SD) to 15.5±2.7 mm Hg ( P <0.0003), and medications were reduced from 2.2±1.1 to 0.6±1.1 ( P <0.0001). In the severe group, mean IOP was not significantly changed, and medications were reduced from 2.6±1.3 to 1.2±1.3 ( P =0.0008). At 12 months, 64% of eyes were medication-free, and 67% of severe cases required one or fewer medications. Focal peripheral anterior synechiae (35%) was the most common complication. CONCLUSION: The Hydrus Microstent lowered medication use across all glaucoma severities. Further studies with larger sample sizes are warranted to support these findings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".