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Record W4414619229 · doi:10.3389/fopht.2025.1658649

Case Report: Recurrent intraocular pressure elevation during hemodialysis in a patient with pseudoexfoliation glaucoma

2025· article· en· W4414619229 on OpenAlexaff
Pushpinder Kanda, Ayub Akbari, Deeksha Kundapur, Soumya Podury, Januvi Jegatheswaran

Bibliographic record

VenueFrontiers in Ophthalmology · 2025
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsHemodialysisGlaucomaIntraocular pressureDialysisMedical therapyNephrologyBlindness

Abstract

fetched live from OpenAlex

Introduction: Intraocular pressure (IOP) elevation during dialysis has been observed in patients with glaucoma. This is thought to result from rapid shifts in plasma osmolality, leading to fluid movement into the anterior chamber, a phenomenon referred to as ocular dialysis disequilibrium. This case highlights a patient with advanced pseudoexfoliation glaucoma who developed recurrent, symptomatic IOP spikes during dialysis, posing management challenges. Methods: Case report. Results: A 65-year-old male with advanced pseudoexfoliation glaucoma experienced recurrent left eye pain and vision loss during hemodialysis, with IOP spikes up to mid 50s (mmHg), requiring early dialysis termination. Medical management including topical drops, oral acetazolamide, and dialysis modifications failed to adequately control IOP. The patient later underwent Ahmed glaucoma valve implantation which stabilized IOP (8-13 mmHg), eliminated dialysis-related pain, and allowed return to standard dialysis sessions. At 6 months, visual acuity was 20/80 + 2 OS with IOP well controlled on topical therapy. Conclusion: This case demonstrates that ocular dialysis disequilibrium can cause symptomatic IOP spikes in glaucoma patients and may be unresponsive to medical therapy alone. Surgical intervention may be necessary for long-term IOP control. Early recognition and interdisciplinary coordination between ophthalmology and nephrology is critical to prevent irreversible vision loss.

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)0.000
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 score0.017
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.006
GPT teacher head0.247
Teacher spread0.241 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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