A Significant Increase of Estimated Glomerular Filtration Rate After Switching From Fenofibrate to Pemafibrate in Type 2 Diabetic Patients
Bibliographic record
Abstract
BACKGROUND: Dyslipidemia is one of the major risk factors for cardiovascular disease (CVD), along with hypertension, diabetes, smoking and obesity. Approximately 70% of CVD risk remains even after treatment of elevated low-density lipoprotein-cholesterol (LDL-C) by statins. High triglyceride (TG) and low high-density lipoprotein-cholesterol (HDL-C) level are potential therapeutic targets to prevent CVD. Fibrates were associated with a greater reduction in TG, and a greater increase in HDL-C. Fibrates activate specific transcription factors belonging to the nuclear hormone receptor superfamily, termed peroxisome proliferator-activated receptors (PPARs). Fibrates improve atherogenic dyslipidemia by mediating PPARα. Pemafibrate is a novel member of the selective PPARα modulator (SPPARMα) family that was designed to have a higher PPARα agonistic activity and selectivity than previous fibrates. Here, we aimed to study the influences of the switching from fenofibrate to pemafibrate on metabolic parameters in type 2 diabetic patients. METHODS: We retrospectively picked up type 2 diabetic patients who had undergone the switching from fenofibrate to pemafibrate, and compared metabolic parameters before the switching with the data at 3, 6 and 12 months after the switching. RESULTS: We found 15 patients with type 2 diabetes. Serum alanine aminotransferase significantly decreased at 6 months after the switching as compared with baseline. The estimated glomerular filtration rate (eGFR) significantly increased at 3, 6 and 12 months after the switching from fenofibrate to pemafibrate as compared with baseline. Serum uric acid (UA) levels significantly increased at 3 and 6 months after the switching as compared with baseline. We did not observe changes in other metabolic parameters after the switching. CONCLUSION: We observed a significant increase of eGFR and serum UA after the switching from fenofibrate to pemafibrate in type 2 diabetic patients. Recent evidences suggest that the improvement of eGFR is beneficially associated with the development of CVD in type 2 diabetic patients. Considering the impact on eGFR, pemafibrate may effectively reduce CVD as compared with fenofibrate.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".