[Question] eGFR dropped 8 points during rapid loss, should i worry
eGFR dropped 8 points during rapid loss, should i worry. If this has been answered properly somewhere, link me and I will delete.
The confounding problem, stated plainly, because this board keeps stepping on it.
Substantial weight loss moves lipids, liver enzymes, insulin sensitivity markers and several others in its own right. If you are losing weight while taking something, any change in those markers has at least two candidate explanations and you cannot separate them from your own panel.
What you can do is standardise, take a baseline, keep the series long, and be honest in your posts about what is and is not attributable. The threads that say "this compound did X to my fasting insulin" almost never have the design to support the claim, mine included.
How to make a panel worth comparing, which is most of the value people leave on the table.
Standardise the conditions: same lab, same fasting state, same rough time of day, same point in the week, similar hydration. Take a baseline before you change anything. Repeat any surprising value before acting on it. Change one thing at a time if you want to attribute anything to it.
Do that and a year of panels is a trend. Skip it and a year of panels is a collection of unrelated mornings, which is what most of the alarmed posts here are actually describing.
Time of day, fasting state, hydration and recent exercise all move common markers. Standardising the draw conditions is free and it removes most of the apparent variability.
Not medical advice, obviously, and nothing here is approved for human use. One person with a spreadsheet.
best — the order this archive was captured in
Substantial weight loss independently moves lipids, liver enzymes and several other markers. Attributing a change to a compound while losing weight is confounded by design.
Disagree with reading anything into that. One value, one morning, and you changed two other things in the same window.
fasting state and time of day change more than people expect
one measurement is a point, two is a line, three is a trend
Yes. Repeat before you react. Almost every alarming single value I have posted here regressed on the repeat.
Reference intervals are typically the central 95% of a reference population. By construction one person in twenty falls outside one on any given test without anything being wrong.
Not convinced by the attribution. Weight loss alone moves that marker and you have no way to separate the two.
baseline before you start is worth more than any later panel
Took a baseline the week before starting purely because this board told me to. Best five minutes I have spent on this.
Why so many single values look alarming and turn out to be nothing.
A reference interval is built to contain about 95% of a healthy reference population, so one test in twenty falls outside one by construction. Add biological variation, assay imprecision, fasting state and time of day, and a genuinely stable person will produce occasional out-of-range results.
That is why repeat testing before acting is standard. Regression to the mean handles most of it. None of which means an out-of-range value should be ignored — it means it should be repeated and taken to somebody who can put it in context, which is emphatically not a ranked feed.
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ask whether the lab changed its assay between your two draws