Levels of indoxyl sulfate are associated with severity of coronary atherosclerosis
Bibliographic record
Abstract
PURPOSE: Indoxyl sulfate (IS) is linked to endothelial damage, NF-κB activation and induced development of atherosclerosis. The purpose of this study was to investigate the relationship between serum IS levels and the severity of coronary artery stenosis. In addition, the relationship among IS and various cardiovascular risk factors was also explored. METHODS: Serum IS concentrations were measured using ultra performance liquid chromatography in 191 consecutive patients presenting with stable angina. The associations between serum IS levels and angiographic indexes of the number of diseased vessels, modified Gensini scores and calcium scores were determined. RESULTS: Patients with significant coronary artery stenosis were found to have higher serum IS levels than patients with normal coronary arteries. Using multivariate analysis, serum IS levels were found to be independently associated with the presence and severity of coronary artery disease (CAD). Furthermore, statistically significant correlation was observed between the serum IS levels and age, Agatston calcium score, volume calcium score, modified Gensini score, coronary lesions, coronary disease and Framingham-10 year risk score. CONCLUSION: This study indicates that serum IS levels are significantly higher in the presence of CAD and correlate with the severity of the disease and coronary atherosclerosis scores, which suggest that increased serum IS may be involved in the pathogenesis of coronary atherosclerosis.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".