Hemodialysis-Related Vision Loss from Anterior Ischemic Optic Neuropathy
Bibliographic record
Abstract
Vision loss from nonarteritic anterior ischemic optic neuropathy (NAION) is a rare complication of hemodialysis. Here, we present a case in a young woman and discuss the pathophysiology and implications for the nephrologist. A 24-year-old woman with end-stage renal disease developed unilateral, painless vision loss following treatment with hemodialysis. Fundoscopy revealed severe left inferior chalky-white opticdisc edema, a presentation consistent with NAION. Her intradialytic blood pressure was reviewed and found to be significantly lower than her baseline, and a multidisciplinary meeting took place between her ophthalmologist and nephrologist to modify her dialysis sessions to minimize the chance of progression or involvement of her fellow eye. At the 2-month follow-up, the opticdisc edema resolved, and her visual function remained stable. Overall, NAION is a rare complication of hemodialysis and may be a result of intradialytic hypotension, platelet and endothelial dysfunction, anemia, and accumulations of toxins such as urea. As there are no established treatments for NAION, management should focus on optimizing modifiable risk factors to prevent further vision loss in the other eye. These factors include increasing the number of dialysis sessions and duration of sessions, reducing the temperature of the dialysate, discouraging eating, and increasing the dialysate's calcium concentration. Prompt recognition of NAION and multidisciplinary teamwork can minimize the risk of NAION progression and involvement of the contralateral eye.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".