Effects of a medium cut‐off dialyzer on inflammation and cardiac and vascular function in hemodialysis patients with heart failure
Bibliographic record
Abstract
INTRODUCTION: Expanded hemodialysis (HDx) could provide clearance of larger middle-molecule uremic toxins. We compared the effect of hemodialysis with medium cut-off membranes and high-flux (HFHD) membranes regarding changes in inflammation and vascular and left ventricular function. METHODS: This was a single-center, prospective, parallel-group comparative study. Patients were divided into two groups (HDx: 25 patients and HFHD: 26 patients). All measurements were performed at baseline and 12 weeks. Serum c-reactive protein, interkelukin-18, pentraxin-3, β-2 microglobulin, and brain natriuretic peptide were measured. We used pulse wave velocity and augmentation index to assess arterial stiffness and echocardiography to evaluate left and right ventricular function. FINDINGS: We enrolled 51 patients. Although serum c-reactive protein, interkelukin-18, pentraxin 3, and β-2 microglobulin were significantly decreased in the HDx group (p = 0.02, p < 0.001, p = 0.002, and p = 0.02, respectively), there was no significant change in HFHD group at 12th week. Serum c-reactive protein and interkelukin-18were significantly lower in the HDx group compared to the HFHD group in the 12th week (p = 0.007 and p = 0.03, respectively). We observed a significant decrease in pulse wave velocity in the HDx group at the end of the study (p = 0.03). Although there was no significant change in pulse wave velocity in the HFHD group, pulse wave velocity was similar between the HDx and HFHD groups in the 12th week. We detected a significant decrease in the mean isovolumetric relaxation time in the HDx group (p = 0.006). However, there was no significant difference in isovolumetric relaxation time between the HDx and HFHD groups in the 12th week. DISCUSSION: HDx provides better clearance of middle molecular uremic toxins and inflammatory biomarkers, and it may be associated with better central hemodynamic parameters and diastolic functions.
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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 | 0.001 |
| 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) | 0.001 | 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".