Potential Correlation Between Circulating Fetuin-A and Pentraxin-3 With Biochemical Parameters of Calcification in Hemodialysis Patients.
Bibliographic record
Abstract
BACKGROUND: The strong correlation between vascular calcification and cardiovascular risk, which is a major cause of mortality in hemodialysis (HD) patients, has been well established. Fetuin-A is an inhibitor of vascular calcification, and pentraxin 3 (PTX3) is produced at the site of inflammation, which is associated with cardiovascular disease (CVD). The main purpose of this study was evaluating the correlation between fetuin-A and PTX3 with some biochemical parameters effective upon vascular calcification in HD patients. METHODS: We included 84 HD patients and 84 healthy controls matched for age, gender, and body mass index (BMI) in this study. Blood samples were drawn from all subjects and the serum levels of creatinine, urea, albumin, calcium (Ca), phosphorus (P), lowdensity lipoprotein cholesterol (LDL-C), parathyroid hormone, fetuin-A, high sensitive C-reactive protein, and PTX3 were measured by biochemical methods. RESULTS: We found that the serum levels of PTX3, C-reactive protein (CRP), parathyroid hormone (PTH), Ca, and P in the patient group were significantly higher than the control group but the serum levels of fetuin-A and albumin were significantly lower in the patient group. Also, fetuin-A had a significant correlation with high sensitive CRP (hs-CRP) as well as duration of dialysis. In addition, it was shown that the correlation between PTX3 and PTH was significant only in the patient group. CONCLUSION: In this study, increased PTX3 and decreased fetuin-A levels were observed in the HD patients. According to our results, these 2 parameters may potentially serve as suitable markers for inflammation and prediction of vascular complications in these patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 teacher head, 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".