The effects of renal replacement therapy on plasma, asymmetric dimethylarginine, nitric oxide and C-reactive protein levels
Bibliographic record
Abstract
PURPOSE: Asymmetric dimethylarginine (ADMA), nitric oxide (NOx), and C-reactive protein (CRP) are important risk factors for endothelial dysfunction and mortality in the end stage renal diseases population. The aim of the study was to investigate the relationship between renal replacement therapy and endothelial dysfunction. METHODS: Plasma NOx, ADMA and CRP levels were examined in randomized selected 30 patients with chronic kidney diseases (CKD), 28 patients receiving continuous ambulatory peritoneal dialysis (PD) and 30 patients receiving regular hemodialysis (HD) and age-matched 20 healthy controls. The duration of dialysis was from 4, 5 to 11, and 6 years, respectively. RESULTS: CKD patients had higher plasma ADMA (1.26+/-0.53 micromol/L) and CRP levels (1.02+/-025 mg/L) and lower NOx levels (28.6+/-5.4 micromol/L) than controls (0.45+/-0.20; 0.65+/- 0.45; 32.5+/-37 respectively, P < 0.001). Plasma NOx and CRP levels were higher in HD patients (32.9+/-5.5 micromol/L, P < 0.05 and 4.59+/-3.18 mg/L, P < 0.001) and plasma ADMA and CRP levels were higher in PD patients (1.82+/-0.98 micromol/L, P < 0.001 and 2.40+/-1.53 mg/L, P < 0.001) than in CKD patients. PD patients had higher plasma ADMA levels (P < 0.05) and lower plasma NOx and CRP levels than HD patients (P < 0.001 and P < 0.001). Plasma ADMA levels were negatively correlated with NOx levels in all patient groups (P < 0.001). Plasma CRP levels in CKD and HD patients were positively correlated with plasma urea levels (r:0,437, P < 0,001) and duration of dialysis (r:0,370, P < 0.01), respectively. CONCLUSION: CRP and ADMA may be emerging as important risk factors for atherosclerosis in dialysis patients. Reduced NO elaboration secondary to accumulation of ADMA and elevated inflammation may be important pathogenic factors for endothelial dysfunction in both dialysis treatment strategies.
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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 | 0.000 | 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".