Reduced protein bound uraemic toxins in vegetarian kidney failure patients treated by haemodiafiltration
Bibliographic record
Abstract
Introduction Indoxyl sulfate (IS) and p cresyl sulfate (PCS) are protein bound toxins which accumulate with chronic kidney disease. Haemodiafiltration (HDF) increases middle molecule clearances and has been suggested to increase IS and PCS clearance. We therefore wished to establish whether higher convective clearances with HDF would reduce IS and PCS concentrations. Methods We measured total plasma IS and PCS in a cohort of 138 CKD5d patients treated by On-line HDF (Ol-HDF), by high pressure liquid chromatography. Findings Mean patient age was 64.6 ± 16.5 years, 60.1% male, 57.3% diabetic, median dialysis vintage 25.9 months (12.4-62.0). The mean ICS concentration was 79.8 ± 56.4 umol/L and PCS 140.3 ± 101.8 umol/L. On multivariate analysis, IS was associated with serum albumin (β 4.31,P < 0.001), and negatively with residual renal function (β-4.1,P = 0.02) and vegetarian diet(β-28.3, P = 0.048) and PCS negatively with log C reactive protein (β-75.8, P < 0.001) and vegetarian diet (β-109, P = 0.001). Vegetarian patients had lower IS and PCS levels (median 41.5 (24.2-71.9) vs. 78.1 (49.5-107.5) and PCS (41.6 (14.2-178.3) vs. 127.3 (77.4-205.6) µmol/L, respectively, P < 0.05. Vegetarian patients had lower preOl-HDF serum urea, and phosphate (13.8 ±3.8 vs. 18.4 ± 5.2 mmol/L, and 1.33 ± 0.21 vs. 1.58 ± 0.45 mmol/L), and estimated urea nitrogen intake (1.25 ± 0.28 vs. 1.62 ± 0.5 g/kg/day), respectively, all P < 0.05. Discussion Plasma IS and PCS concentrations were not lower with Ol-HDF compared to previous studies in haemodialysis patients. However those eating a vegetarian diet had reduced IS and PCS concentrations. Although this could be due to differences in dietary protein intake, a vegetarian diet may also potentially reduce IS and PCS production by the intestinal microbiome.
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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 | 0.000 |
| 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".