Fenofibrate-Associated Creatinine Increase: A Case for More Prospective Studies
Bibliographic record
Abstract
We read with interest a recently published study by Abbas et al in which the authors discussed the factors associated with the well-established rise in creatinine associated with fibrate treatment. They retrospectively analysed the case notes from a lipid clinic database of 132 patients [1]. In accord with a number of studies published in the last 13 years (Tsimihodimos et al [2], Hottelart et al [3], Ansquer et al [4] ), interalia, the authors have shown a fibrate-associated increase in creatinine. In a recent prospective study, in hyperlipidaemic patients attending a lipid clinic [5] we have demonstrated a similar rise in serum creatinine using a Siemens enzymatic creatinine assay (Siemens Healthcare Diagnostics, Frimley, UK), which is traceable to isotope dilution/ mass spectrometry (ID/MS). This rise in creatinine (median 15.1%; range 5.5-23.2 %) was accompanied by an increase in cystatin C (median 9.9%; range 1.1-26.1%) in 10 of the 12 patients studied. We concluded that since the increase in serum creatinine concentration was accompanied by a rise in cystatin C, an independent marker of GFR, the fibrate-related creatinine increase reflects a genuine reduction in renal function rather than an increased metabolic production of creatinine as previously proposed by Hottelart et al [3]. It is unlikely that another mechanism is responsible since it would need to affect both creatinine and cystatin C in a similar manner. Although our study was limited to only 12 patients, our findings reflect those of larger studies, for example, a substudy of the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) trial [6]. Recently, Mychaleckj et al [7] have shown a reversal of the fibrate-induced rise in cystatin C concentration on stopping fibrate treatment, which further suggests that fibrateinduced renal hypofunction occurs. In the study by Abbas et al [1] the use of a Jaffe creatinine assay presents a potential problem, since, unlike the enzymatic method used in our study, this method is prone to a range of analytical interferences. The findings, however, are still of interest. Although the dose of fenofibrate used was not stated, (and was probably variable), the authors have interestingly, corrected their data for the duration of treatment. We speculate that some of the differences seen between studies may be related to fenofibrate dose in addition to the duration of therapy. There is a need for more prospective studies investigating the mechanism(s) and clinical significance of a fibrate-associated creatinine increase. The measurement of GFR using more accurate methods such as Inulin or para amino hippurate (PAH) clearance do not lend themselves to routine clinical use, but may currently offer the best prospect for gaining a clearer insight into this interesting phenomenon.
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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 | 0.100 | 0.182 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.017 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.019 | 0.016 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".