Association of vitamin D metabolites with arteriovenous fistula function in hemodialysis patients: A single center study
Bibliographic record
Abstract
INTRODUCTION: Arteriovenous fistula (AVF) is a primary dialysis vascular access commonly used for maintaining hemodialysis (MHD) patients. Vitamin D (VD) is a fat-soluble steroid hormone that is closely related to vascular endothelial function. This study aimed to investigate the association between VD metabolites and AVF failure in patients undergoing HD. METHODS: This study included 443 HD patients using AVF between January 2010 and January 2020. The AVF operations in these patients were newly created by the same physician. We analyzed the AVF patency rates using the chi-square test. Univariate and multivariate logistic regression analyses were performed to explore risk factors for AVF failure. Survival analysis was performed to explore AVF survival at different serum 25-hydroxyvitamin D (25(OH)D) concentrations. RESULTS: Logistic regression analyses showed that male sex; age; BMI; serum albumin, triglyceride, phosphorus, 25(OH)D, iPTH and hemoglobin levels, history of hypertension, CHD, diabetes, stroke, and antiplatelet drug use; and smoking habits were not risk factors for AVF failure. The failure incidence rates of AVF in subjects in the VD deficiency and non VD deficiency group were not statistically significant (25.0% vs. 30.8%, p = 0.344). The AVF failure incidence rates at 1, 3, and 5 years in the patients with 25(OH)D levels more than 20 ng/mL were 26%, 29%, and 37%, respectively, and the one-year AVF failure incidence rates were 27% in the patients with 25(OH)D levels less than 20 ng/mL. In addition, the Kaplan-Meier analysis suggested that the no significant differences were noted when calculating the cumulative survival rates of AVF between the two groups within 50 months of AVF using. CONCLUSION: Our findings suggest that 25(OH)D deficiency is not associated with AVF failure incidence rates, and that 25(OH)D deficiency has no significant impact on long-term cumulative AVF survival rate.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".