Similar Increase Plasma Asymmetric Dimethylarginine (P-ADMA) and in Non Renal patients with Abnormal Myocardial Perfusion and in Hemodialysis Patients.
Bibliographic record
Abstract
A high plasma level of ADMA, an endogenous inhibitor of nitric oxide synthase, that is thought to be a novel biochemical marker for atherosclerosis in non-renal patients, is recently reported to be associated also with increased atherosclerosis and increased cardiovascular mortality in chronic renal failure (CRF) patients. Objective: A comparative analysis of P-ADMA levels in hemodialysis (HD) patients, in non-renal patients with verified ischemic heart disease and healthy controls. Methods: P-ADMA was measured by HPLC (Anderstam et al JASN 8:1437–42, 1997) in 103 HD patients (Group 1; 49 ± 14 years, 55% M) in 30 non renal patients (Group 2; 62 ± 12 years, 80% M) with myocardial perfusion defects diagnosed by Stress/Rest Gated Single Photon Emission Computed Tomography (GSPECT) and in 21 healthy controls (Group 3; 32 ± 10 years, 52% M). Results: Increased median levels of P-ADMA were observed in both the HD patients (0.48 (range, 0.03–2.41) umol/l; p < 0.001) and in the patients with abnormal GSPECT (0.47(range, 0.01–1.43) umol/l; p < 0.01) compared with the controls (0.3, range 0–0.78 umol/l). There was a positive correlation between P-ADMA and C-reactive protein (CRP) in Group 1 (Rho = 0.34, p = 0.05) but not in Group 2. Conclusions: The presence of a similar increase in P-ADMA levels in Group 1(HD patients) and Group 2 (with verified ischemic heart disease) compared with the healthy controls (group 3) and the correlation between P-ADMA and serum CRP in Group 1, may indicate that increased P-ADMA levels is a risk factor for inflammation related cardiovascular disease in hemodialysis 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 | 0.001 |
| 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) | 0.002 | 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".