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What interval makes sense for repeating creatinine on a GLP-1 receptor agonist?

Asked 3 Aug 2024Modified 20 months agoViewed 25k times
5

What I am working with: creatinine · a GLP-1 receptor agonist.

I would like to set this up properly once, rather than adjust it repeatedly.

My budget is real but not tight, and my tolerance for uncertainty is low.

What would you do, and what would make you change course?

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MV
askedmala_venkatesh22k373 Aug 2024
5Worth adding the time of day, since a couple of these have a diurnal swing. – per_haugen 9 months ago
6Voting to keep this open — it is more specific than it first looks. – rota_site 8 days ago
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5 Answers

Accepted answer first, then by votes
39

Accepted answer

The honest position is that most people order too many analytes and too few time points, when the reverse would be more informative.

Timing matters per analyte: cortisol and testosterone are diurnal, triglycerides are postprandial, and creatinine responds to hydration and to recent training. Fixing the conditions removes most of the noise.

The underlying point is that delta checks — comparing against your own previous value — are far more sensitive than comparing against a population interval, which is the argument for keeping a series rather than a snapshot.

Biological variation data are published per analyte and are the basis for the reference change value — the difference between two results that is larger than noise.

Decide the action for each result before you order the test.

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DA
answered · acceptedDr_Rosalind_Achebe69k14722 Sept 2024
3Confirming that a repeat two weeks later resolved what looked alarming on a single draw. – rota_site 8 months ago
4Is the assay method stated on your report? Two immunoassays for the same analyte do not agree with each other. – lyoph_cake 9 months ago
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13

Put another way, this is answerable, and the answer is mostly about which tests rather than how many.

Same laboratory, same method, same time of day, same fasting state. Between-laboratory differences on several common analytes are larger than the changes people are trying to detect.

Haemolysis in the sample raises potassium and several enzymes spuriously. If a result is bizarre, ask whether the sample was flagged before building a theory on it.

Pre-analytical factors — posture, tourniquet time, fasting, sample handling — are the largest source of error in routine biochemistry, well ahead of the analysis itself.

Nothing here is medical advice. If something is out of range and you do not know why, that is a consultation rather than a research project.

One out-of-range value on a twenty-analyte panel is expected. Two on a repeat is a finding.

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FR
answeredfib4_reader24k273 Oct 2024
5Same laboratory every time is advice I ignored for a year, and the series was useless because of it. – marta_szymanska 5 months ago
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13

Start with a baseline. A result taken before anything started converts most later ambiguity into a simple comparison, and it cannot be obtained retrospectively.

Keep the reports rather than the numbers. Units, reference intervals and methods all vary, and a bare number two years later is not comparable to anything.

It helps to be literal here: a sensible core for this population is a full blood count, renal function with electrolytes, liver enzymes with bilirubin, a fasting lipid panel with apolipoprotein B, HbA1c and thyroid-stimulating hormone.

Research-use compounds are not approved for human use, and no panel makes that safer.

Same laboratory, same time, same fasting state, or the comparison is not a comparison.

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PC
answeredpk_curve30k2814 Oct 2024
10

Before reacting to any single value, check whether it is outside the interval by an amount larger than the assay's own variation.

A twenty-analyte panel run on a healthy person will produce, on average, one out-of-range result purely from how reference intervals are constructed. That is arithmetic rather than pathology.

External quality assurance schemes document between-laboratory differences on common analytes that routinely exceed the size of clinically interesting changes.

Keep the full report, not the number. You will need the units and the interval later.

edited 29 Oct 2024 by Dr_Nadia_Farsi — corrected a unit error in the worked example

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DF
answeredDr_Nadia_Farsi104k24725 Oct 2024
5

Standardise the conditions — same time of day, same fasting state, same laboratory — or you are measuring the conditions rather than yourself.

Repeat before you react. A single abnormal value has a substantial probability of being within the combined biological and analytical variation of a normal one.

The caveat is that a panel is not a diagnosis and interpreting one is a clinician's job, particularly when several values move together.

Baseline first, then a repeat under identical conditions. Everything else is secondary.

edited 14 Nov 2024 by Dr_Sara_Kuusela — expanded the table to cover the lower concentration

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DK
answeredDr_Sara_Kuusela28k375 Nov 2024
Adding for future readers: ask for the reference interval printed beside the result, not just the flag. – kwn_analytical 36 days ago
Thank you — separating "out of range" from "abnormal" is the distinction I needed. – v_ramaswamy 3 months ago
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Your answer

Ask PeptideStack is a static archive. Posting is closed, but the norms are worth stating: answer the question that was asked, show your working, cite the trial or the certificate, and say plainly where the evidence runs out.

Not medical advice. Research-use-only compounds are not approved for human use.