Effects of Cold-Induced Vasospasm in Glaucoma: The Role of Endothelin-1
Bibliographic record
Abstract
PURPOSE: Vasospasm has been associated with glaucoma, but its mechanisms have not been elucidated. The present study was designed to evaluate the role of endothelin (ET)-1, a potent endogenous vasoconstrictor, in the genesis of vasospasm in glaucoma. METHODS: Our sample contained patients with open-angle glaucoma (n = 43) and subjects with normal nonglaucomatous eyes and without acral vasospasm (n = 27). After the eligibility visit, all subjects underwent a provocative cooling test, consisting of wearing for 30 minutes a head-vest cooling garment containing coolant fluid. Blood was collected before and after cooling, and plasma ET-1 was determined by immunoassay. In addition, visual fields and retinal blood flow, measured with a confocal scanning laser and Doppler flowmeter, were measured before and after cooling. Peripheral finger flow, skin temperature, and blood pressure were monitored during the experiment. A recovery visit was performed within 1 month, when visual field and retinal blood flow measurements were repeated. RESULTS: Baseline plasma ET-1 levels were similar between patients with glaucoma and control subjects (mean +/- SD: 2.81 +/- 1.29 and 2.56 +/- 1.36 pg/mL, respectively, P = 0.465). Patients with glaucoma, however, had a significant increase in plasma ET-1 after cooling (mean +/- SD increase of 34% +/- 52%, P = 0.001), not observed in control subjects (mean +/- SD increase of 7% +/- 43%, P = 0.750). No significant change in visual fields or retinal blood flow was observed after cooling in either group. Patients with glaucoma who had evidence of acral vasospasm, however, were more likely to show deterioration in visual fields after cooling than patients without acral vasospasm (P = 0.007). CONCLUSIONS: Patients with glaucoma have an abnormal increase in plasma ET-1 after the body cools. It is possible that at least in some patients, increased levels of ET-1 in response to vasospastic stimuli may be involved in the pathogenesis of glaucomatous damage.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".