Serum Visfatin Level and Cardiac Valve Calcifcation in Hemodialysis Patients
Bibliographic record
Abstract
BACKGROUND: Cardiac valve calcification is a serious complication in patients with cardiovascular disease. This study investigated the relationship between visfatin levels and cardiac valve calcification in individuals undergoing hemodialysis. METHODS: We conducted a cross-sectional study at Beijing Luhe Hospital of Capital Medical University, enrolling 339 maintenance hemodialysis patients between June 2023 and May 2024. We collected baseline data including sex, age, underlying diseases, electrolyte levels, and parathyroid hormone levels. Patients were categorized into cardiac valve calcification and non-cardiac valve calcification groups based on echocardiogram findings; we analyzed associations between valve calcification and clinical data. RESULTS: Of the 339 hemodialysis patients, 186 (55.8%) were male, with an average age of 66.1 ± 12.5 years and a mean dialysis duration of 58.7 ± 45.3 months. Cardiac valve calcification was present in 36.7% of patients. Compared to the non-cardiac valve calcification group, patients with cardiac valve calcification were significantly older, had longer dialysis durations, a higher prevalence of coronary heart disease, longer histories of hypertension, elevated intact parathyroid hormone levels, and increased visfatin levels (p < 0.05). Logistic regression analysis identified advanced age, prolonged dialysis duration, an extended hypertension history, and elevated serum visfatin as factors associated with valve calcification. CONCLUSION: Our findings indicate that cardiac valve calcification is significantly linked to advanced age and higher visfatin concentrations in hemodialysis patients. Calcium and phosphate levels did not show significant group differences in this study.
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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 | 0.000 | 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 | 0.000 |
| 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".