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Record W4413982297 · doi:10.1016/j.ogla.2025.08.011

Clinical Outcomes of Hydrus Microstent Implantation for Open-Angle Glaucoma

2025· article· en· W4413982297 on OpenAlexfundno aff
Natalie R. Hamilton, Anam Akhlaq, Patrick O Nnoromele, Nicolas Gasquet, Catalina Garzón, Yulia Nam, Leangelo Hall, Pradeep Y. Ramulu, Ian Pitha, Mona Kaleem, Jella An, Elyse J. McGlumphy, Jacob A. Kanter, Thomas V. Johnson

Bibliographic record

VenueOphthalmology Glaucoma · 2025
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsnot available
FundersNational Eye InstituteSchool of Medicine, Johns Hopkins UniversityAlconFoundation Fighting BlindnessNational Institutes of HealthAmerican Academy of OphthalmologyMaryland Stem Cell Research FundAmerican Glaucoma SocietyJohnson and JohnsonGlaucoma FoundationAlcon Research InstituteBrightFocus FoundationU.S. Department of DefenseAssociation for Research in Vision and OphthalmologyResearch to Prevent BlindnessAdvanced Research Projects Agency for Health
KeywordsMedicineGlaucomaCenter (category theory)OphthalmologyOptometryOpen angle glaucomaSchlemm's canal

Abstract

fetched live from OpenAlex

PURPOSE: To assess the clinical outcomes of Hydrus Microstent implantation with cataract extraction for the treatment of open-angle glaucoma (OAG) over a maximum of 4 years. DESIGN: A retrospective, single-center, single-arm, longitudinal cohort study. SUBJECTS: Three hundred eight patients (464 eyes) with OAG who underwent Hydrus Microstent implantation with cataract extraction between February 2019 and December 2021, followed for a median of 2.0 (interquartile range [IQR], 1.3-2.8) years. METHODS: Medical records were reviewed to collect demographic and clinical data. After assessment for Gaussian distribution, mean and standard deviation (SD) or median and IQR were calculated. Change from baseline was calculated with mixed-effects models and expressed as mean change and standard error. MAIN OUTCOME MEASURES: (1) Intraocular pressure (IOP); (2) number of glaucoma medications; (3) need for additional glaucoma procedures; and (4) rate of glaucoma progression, calculated using mean deviation (MD) from standard automated perimetry and OCT peripapillary retinal nerve fiber layer (RNFL) thickness. RESULTS: Among 308 patients, 60.7% (n = 187) were White, and 50.6% (n = 156) were female. The median age was 74 (IQR, 68-78) years. Most eyes had mild (63.8%) or moderate (23.9%) OAG. Of 464 eyes, 99 (21.4%) had undergone prior procedures for glaucoma. At baseline, the mean (±SD) IOP was 16.0 ± 3.7 mmHg while taking 1.9 ± 1.1 glaucoma medications. After Hydrus implantation, a sustained reduction was observed in mean IOP [mean change ± standard error]: -1.9 ± 0.3 at 6 months (P < 0.0001), -1.2 ± 0.2 at 1 year (P < 0.0001), -1.2 ± 0.2 at 2 years (P < 0.0001), -1.6 ± 0.3 at 3 years (P < 0.0001), and -1.2 ± 0.7 at 4 years (P = 0.02). Glaucoma medications were reduced by 1.2 ± 0.1 at 6 months (P < 0.0001), 1.1 ± 0.1 at 1 year (P < 0.0001), 1.0 ± 0.1 at 2 years (P < 0.0001), 0.9 ± 0.1 at 3 years (P < 0.0001), and 0.5 ± 0.2 at 4 years (P = 0.03). Only 14 eyes (3.2%) required additional glaucoma procedures. Compared to the lookback period, the rates of visual field MD and RNFL loss decreased in the postoperative period by 0.18 ± 0.08 dB/year (-0.18 ± 0.02 vs. 0.004 ± 0.08 dB/year, P = 0.02) and 0.51 ± 0.29 μm/year (-0.47 ± 0.12 vs. 0.04 ± 0.21 μm/year, P = 0.07), respectively. CONCLUSIONS: In this nontrial setting, cataract surgery with Hydrus Microstent implantation was associated with sustained reductions in IOP, glaucoma medication burden, and disease progression rate. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.857

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.386
Teacher spread0.353 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2025
Admission routes1
Has abstractyes

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