Thrombotic events and markers of oxidation and inflammation in hemodialysis
Bibliographic record
Abstract
The goal of this study was to determine whether antioxidant therapy with vitamin E would alter the rate of vascular access complications or other macrovascular complications in hemodialysis (HD) patients. A secondary goal of the study was to explore the relationship between baseline pretreatment markers of oxidative stress (the advanced glycation end product pentosidine and basal levels of vitamin Ealpha and gamma) and the subsequent development of access failure. Thirty-five stable patients treated by HD were recruited for the study. Patients were provided with vitamin E (800 IU) or placebo capsules to be taken daily. Clinical variables, vascular access function (flow meter access flow measurements), and circulating blood markers were obtained initially and every 3 months throughout the study. Vitamin Ealpha levels rose in treated patients from 12.7 +/- 4.4 to 25.1 +/- 15.1 microg/mL at 3 months and 28.6 +/- 14.8 microg/mL at 6 months. Vitamin Egamma levels fell in treated patients from 3.9 +/- 1.7 to 2.3 +/- 1.5 microg/mL at 3 months and 1.7 microg/mL at 6 months. Patients who subsequently developed repeated thrombotic vascular access events were characterized by higher baseline pentosidine content of circulating proteins. Patients who developed a myocardial infarction had higher pentosidine, lower vitamin Ealpha, and much lower vitamin Egamma than patients who did not develop thrombotic events. These findings lead to the speculation that the anti-inflammatory effects of vitamin Egamma may play a more important role in thrombotic vascular events than the antioxidant effects of vitamin Ealpha. Additional studies of these interactions are in progress.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".