Serum P-Cresyl Sulfate Is Associated with Peripheral Arterial Stiffness in Chronic Hemodialysis Patients
Bibliographic record
Abstract
Background/Objectives: Arterial stiffness is a major cardiovascular risk factor in patients with hemodialysis (HD). We conducted a cross-sectional study aimed at determining the relationship between serum p-Cresyl sulfate (PCS) and peripheral arterial stiffness (PAS), defined via the cardio-ankle vascular index (CAVI), in 110 patients receiving chronic HD. Methods: Participants were divided into PAS (CAVI ≥ 9.0) and control (CAVI < 9.0) groups. Serum PCS level was measured by high-performance liquid chromatography-mass spectrometry. Results: PAS was detected in 37 (33.6%) patients. The PAS patients were older and had higher SBP, more diabetes, and higher serum PCS and C-reactive protein (CRP) than the control group. Upon multivariate analysis, PAS was significantly associated with PCS (adjusted odds ratio: 1.238 per 1 mg/L increase, 95% confidence interval [CI]: 1.119–1.371, p < 0.001). The CAVI, advanced age, and CRP demonstrated a significant correlation with PCS, as evidenced by the correlation analysis conducted. Area under the receiver operating characteristic curve analysis showed that PCS had a good diagnostic value for PAS (AUC: 0.872, 95% CI: 0.805–0.939; p < 0.001), and the optimal cutoff value was 24.29 mg/L. Conclusions: PCS demonstrates great potential as a biomarker in the diagnosis of arterial stiffness.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".