Ω3 fatty acids may reduce hyperlipidemia in pediatric renal transplant recipients
Bibliographic record
Abstract
Life expectancy after pediatric renal transplantation remains lower than that of the normal population largely due to cardiovascular morbidity and mortality. Hyperlipidemia is a potentially modifiable risk factor for cardiovascular morbidity. Retrospective chart review of all available pediatric renal transplant patients (26) in a single center with assessment of anthropometry, renal function, steroid, calcineurin or mTOR inhibitor exposure and Ω3 FA supplementation. Eighteen transplant recipients without Ω3 FA supplementation served as control. Nutrition and supplement surveys were conducted with standardized questionnaires. Fasting cholesterol values were compared using the latest value prior to start of Ω3 FA and at last follow-up. Eight patients (five receiving mTOR inhibitor) started Ω3 FA supplementation at a mean dose of 29.2 ± 12 mg of EPA/kg and 16.1 ± 7.4 mg DHA/kg body weight. Median duration of treatment was 2.5 yr (range 0.8-5.9 yr) and their total fasting cholesterol at last follow-up dropped significantly from 5.08 ± 0.97 (control group 3.77 ± 0.81, p = 0.0084) to 4.17 ± 0.54 mm (p = 0.0158). High-density lipoprotein cholesterol increased not significantly from 1.74 ± 0.49 to 2.02 ± 0.93 mm. No patient had increased bleeding. Supplementation of omega-3 FAs may reduce hyperlipidaemia after pediatric renal transplantation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".