Impact of Ischemic Heart Disease on Early Access Failure in Nondiabetic Hemodialysis Patients
Bibliographic record
Abstract
Atherosclerotic lesion of coronary artery frequently accompanies intimal hyperplasia of radial artery. We have reported that the lesion of radial artery (intimal hyperplasia) in hemodialysis (HD) patients is associated with early access failure (EAF) as well as ischemic heart disease (IHD) (Am J Kidney Dis. 2003; 41: 422–428). Objective: This study was designed to determine the impact of IHD on the EAF in nondiabetic HD patients. Methods: This study enrolled 125 nondiabetic HD patients who received radiocephalic arteriovenous fistula operation for the first time. We evaluated IHD before the operation through clinical symptoms and electrocardiography and then investigated EAF within 1 year after the operation. We analyzed the access patency rates between the patients with and without IHD, using Kaplan–Meier method and log‐rank test. Multiple regression analysis was performed to identify independent risk factors of the EAF. Results: The mean age of the patients was 48 ± 14 years, and the number of females was 54 (43.2%). Of the total 125 patients, 19 patients (15.4%) had IHD before the operation. The EAF developed in 23 patients (18.4%) within 1 years after the operation. The access patency rate in the patients with IHD was lower than that in the patients without IHD (39.7 vs. 88.3%, p < 0.001). IHD and old age were independent risk factors of the EAF in nondiabetic HD patients. But sex, smoking history, hypertension, and the levels of hemoglobin, serum creatinine, albumin, and total cholesterol checked before the operation were not associated with the EAF. Conclusion: This study suggests that IHD is closely associated with EAF in nondiabetic HD patients.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".