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Record W2071499036

Fenofibrate-Associated Creatinine Increase: A Case for More Prospective Studies

2012· article· en· W2071499036 on OpenAlexvenueno aff
Vusimuzu Ncube, B J Starkey, Tim Wang

Bibliographic record

VenueWorld Journal of Nephrology and Urology · 2012
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsnot available
Fundersnot available
KeywordsCreatinineCystatin CRenal functionMedicineUrologyInternal medicineProspective cohort studyEndocrinology
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.362
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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