[Results] 47 weeks, 8kg, and ferritin was the hard part
47 weeks, 8kg, and ferritin was the hard part, logged the same way every week so the comparison is at least internally fair.
Hard numbers: 47 weeks and 8kg. Anything softer than that is flagged as an impression.
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.
ApoB counts atherogenic particles rather than the cholesterol they carry, which is why it can diverge from LDL-C and why it is the addition most worth making.
That is everything I have. The rest is opinion and I have tried to keep it out.
best — the order this archive was captured in
Nobody here can interpret your panel and this comment is not doing so. What a board can usefully do is help you ask better questions of somebody who can.
My fasting insulin moved and I spent a fortnight convinced I knew why. The repeat six weeks later was back in range and I had changed nothing.
weight loss itself moves several of these independently
That is a non-fasting value and the interval you are comparing it against is a fasting one.
Do you have a baseline from before you started?
Took a baseline the week before starting purely because this board told me to. Best five minutes I have spent on this.
one measurement is a point, two is a line, three is a trend
How many weeks between the two measurements?
Not convinced by the attribution. Weight loss alone moves that marker and you have no way to separate the two.
Disagree with reading anything into that. One value, one morning, and you changed two other things in the same window.
That comparison crosses two labs with different assays. The difference you are describing may be the method.
same lab, same conditions, or you are comparing noise
This. Reference ranges are population intervals, not targets, and conflating them causes a lot of unnecessary alarm here.
Repeat testing before acting is standard practice for a reason: regression to the mean does a lot of work on single outlying values.
ApoB is the one worth adding if you only add one
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.
ask whether the lab changed its assay between your two draws
nothing on this board interprets your results for you
Different laboratories use different assay platforms with different calibration. Comparing across labs adds a systematic offset that is invisible on the report.
Time of day, fasting state, hydration and recent exercise all move common markers.
This is the sentence to read before anybody panics about a single value.
Right, and weight loss itself moves several markers, so attribution is harder than these threads assume.
Cosigning on baseline. The panel I regret most is the one I did not take before starting.
- 1My fasting insulin moved and I spent a fortnight convinced I knew why. The…8 comments in this branch · started by u/pavel_nkemelu
- 2Disagree with reading anything into that. One value, one morning, and you…7 comments in this branch · started by u/cormac_erdogan