Tacrolimus as Intervention in the Treatment of Hyperlipidemia after Liver Transplant
Bibliographic record
Abstract
BACKGROUND: To measure the effect on serum lipids and other risk factors for cardiovascular disease, we converted the primary immunosuppression of dyslipidemic stable liver transplant recipients from cyclosporine A to tacrolimus. METHODS: Patients underwent a four-month dietary stabilization period (American Heart Association Step II diet) and serum lipid samples were collected for analysis at a central laboratory. After conversion, dietary counseling and lipid analyses were performed over a six-month postconversion observation period. RESULTS: Enrollment was terminated prematurely due to low patient recruitment rates. Thirteen patients were enrolled and provided postconversion data showing surprisingly strong results. At six months postconversion, total cholesterol (C) was reduced by a mean of 0.61 mmol/L (P=0.017), high density lipoprotein cholesterol (HDL-C) remained unchanged; the mean total C:HDL-C ratio was reduced by 0.87 (P=0.001). Low density lipoprotein cholesterol (LDL-C) reductions were not statistically significant, but we observed a significant and persistent decrease in apolipoprotein B (-0.15 g/L six months postconversion, P=0.031). No changes in homocysteine or in vitamins B6 and B12 were discerned, but although red cell folate remained stable, serum folate increased after conversion. We observed no rejection episodes or any other clinically notable events following conversion. CONCLUSIONS: In this study, conversion from cyclosporine to tacrolimus provided a safe and well-tolerated alternative that reduced hyperlipidemia and other recognized cardiovascular risk factors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".