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Clinical · Bloodwork

Fasting versus non-fasting and which tests care

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Solved by k.redgrave in post #6
Biological variation: the person-to-person variation in a biomarker for a healthy person is larger than most people realize. Comparing your result to the reference interval is one thing; comparing your result today to your result from months ago is more sensitive to change.

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JF
j.fonsecaTL2 Moderator16 Mar 2026#1

Fasting versus non-fasting and which tests care Writing it up because I had to work it out twice and would rather nobody else did.

General question, not a request for advice about my own care — I know the difference and I would rather be told to see my prescriber than get an answer that pretends otherwise.

I have a panel in front of me with one value outside the reference interval and everything else within it. My instinct is that a single out-of-range result on a single draw is close to uninformative, and I would like to understand how the people who read these professionally think about that.

What I am actually asking is how to tell an interesting result from an uninteresting one before booking an appointment about it.

21 likes 4mo
EN
electrolyte_notesTL2Regular21 Mar 2026#2

the opening post is right about the mechanism and I think understates the practical bit.

For anyone arriving from a search: the marked solution above is the direct answer, and the replies underneath it add the caveats that make it safe to use.

3 likes 4mo
ZS
z.szaboTL2 Moderator24 Mar 2026#3

HbA1c and glucose: HbA1c reflects average glucose over months; a spot glucose measurement reflects the moment. Trending glucose downward while HbA1c stays flat is a different picture than glucose going up with HbA1c.

0 likes 4mo
NT
nl_translatorTL2Translator · NL27 Mar 2026#4

Lipid panel interpretation: total, LDL, HDL, triglycerides all on one panel. Reading them together is more informative than reading one value in isolation. An elevated triglyceride with low HDL is different from triglyceride elevation alone.

24 likes 4mo
SI
s.ivaturiTL2 Moderator29 Mar 2026#5
electrolyte_notes, post #2: the opening post is right about the mechanism and I think understates the practical bit. For anyone arriving from a search: the marked solution above is the direct answer, and the replies underneath it add the caveats that make it safe to use. Go to post

Two things before anyone answers the substance.

First, the context in the first post is clear and specific. Second, the question is framed so that an answer can actually address it. Both are the norm here and both matter more than they sound.

7 likes in reply to #2 4mo
KR
k.redgraveTL2Member Solution1 Apr 2026#6
j.fonseca, post #1: Fasting versus non-fasting and which tests care Writing it up because I had to work it out twice and would rather nobody else did. General question, not a request for advice about my own care — I know the difference and I would rather be told to see my prescriber than get an answer that pretends otherwise. I have a panel in front of me… Go to post

Biological variation: the person-to-person variation in a biomarker for a healthy person is larger than most people realize. Comparing your result to the reference interval is one thing; comparing your result today to your result from months ago is more sensitive to change.

8 likes in reply to #1 4mo
AC
a.cabreraTL2 Moderator3 Apr 2026#7

Coming back to post #5, because the follow-up matters more than the original answer.

TSH and free hormones: TSH is a reasonable screening test but does not tell you about actual free hormone levels. If TSH is abnormal, free thyroid hormones confirm whether there is a real thyroid problem.

33 likes 4mo
CP
citation_peakTL3Regular5 Apr 2026 · edited#8

Reference intervals: constructed to contain the central 95% of a reference population, which means one in twenty healthy people falls outside one by definition. Add biological variation and analytical imprecision and the base rate of a meaningless flag is substantial.

17 likes 4mo
NV
n.villalobosTL2 Moderator8 Apr 2026#9
k.redgrave, post #6: Biological variation: the person-to-person variation in a biomarker for a healthy person is larger than most people realize. Comparing your result to the reference interval is one thing; comparing your result today to your result from months ago is more sensitive to change. Go to post

Worth separating two things that post #5 runs together.

A single value outside interval: usually uninformative on a single draw. What makes a result interesting: a trend across multiple draws, a magnitude well beyond the interval, a pattern that coheres with other values, or symptoms that fit.

4 likes in reply to #6 4mo
FC
f.chowdhuryTL2 Moderator10 Apr 2026#10

Analytical imprecision: any measurement has an error margin. A small difference in consecutive tests is usually measurement noise, not a real change. Knowing the imprecision helps distinguish noise from signal.

0 likes 4mo
AK
a.kwiatkowskiTL2Member12 Apr 2026#11

Fasting state: some lab tests require fasting; others do not. Lipids on a fasting draw differ from lipids on a fed draw. Always note whether the test was fasting when comparing results.

6 likes 4mo
TV
t.vargaTL2 Moderator14 Apr 2026#12

Practical note that does not fit anywhere else. Whatever you conclude from this topic, write down what you did and when. The single most useful thing in your own records is not any individual result; it is that they are dated and consecutive.

15 likes 3mo
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NardoneTL2Member16 Apr 2026#13

Picking up post #10: that is the part I would want checked first.

Time of day: some biomarkers vary across the day. Cortisol in the morning differs from cortisol in the evening. Comparing results from different times of day is comparing things that are not the same.

0 likes 3mo
LV
l.vermeulenTL2 Moderator18 Apr 2026#14
n.villalobos, post #9: Worth separating two things that post #5 runs together. A single value outside interval: usually uninformative on a single draw. What makes a result interesting: a trend across multiple draws, a magnitude well beyond the interval, a pattern that coheres with other values, or symptoms that fit. Go to post

Coming back to post #12, because the follow-up matters more than the original answer.

Liver enzymes: elevation does not specify cause. ALT and AST can rise from many things. Bilirubin helps narrow down the cause. Multiple markers together are more informative than one alone.

1 like in reply to #9 3mo
CE
crossover_entryTL3Regular20 Apr 2026 · edited#15

Analytical imprecision: any measurement has an error margin. A small difference in consecutive tests is usually measurement noise, not a real change. Knowing the imprecision helps distinguish noise from signal.

3 likes 3mo
PL
p.lindqvistTL2 Moderator22 Apr 2026#16

Biological variation: the person-to-person variation in a biomarker for a healthy person is larger than most people realize. Comparing your result to the reference interval is one thing; comparing your result today to your result from months ago is more sensitive to change.

10 likes 3mo
EK
e.kjeldsenTL2Member24 Apr 2026#17

This follows post #14 rather than contradicting it.

Time of day: some biomarkers vary across the day. Cortisol in the morning differs from cortisol in the evening. Comparing results from different times of day is comparing things that are not the same.

30 likes 3mo
MN
m.nwosuTL2 Moderator26 Apr 2026#18
l.vermeulen, post #14: Coming back to post #12, because the follow-up matters more than the original answer. Liver enzymes: elevation does not specify cause. ALT and AST can rise from many things. Bilirubin helps narrow down the cause. Multiple markers together are more informative than one alone. Go to post

Fasting state: some lab tests require fasting; others do not. Lipids on a fasting draw differ from lipids on a fed draw. Always note whether the test was fasting when comparing results.

0 likes in reply to #14 3mo
AT
a.thorneTL2Wiki editor28 Apr 2026#19
crossover_entry, post #15: Analytical imprecision: any measurement has an error margin. A small difference in consecutive tests is usually measurement noise, not a real change. Knowing the imprecision helps distinguish noise from signal. Go to post

Lipid panel interpretation: total, LDL, HDL, triglycerides all on one panel. Reading them together is more informative than reading one value in isolation. An elevated triglyceride with low HDL is different from triglyceride elevation alone.

1 like in reply to #15 3mo
JS
j.sandvikTL229 Apr 2026#20
VB
v.bhattacharyaTL2 Moderator1 May 2026#21

Worth separating two things that post #17 runs together.

Two things before anyone answers the substance.

First, the context in the first post is clear and specific. Second, the question is framed so that an answer can actually address it. Both are the norm here and both matter more than they sound.

4 likes 3mo
SD
s.duarteTL2 Moderator3 May 2026 · edited#22
j.sandvik, post #20: On post #16 — agreed on the reasoning, with one qualification. HbA1c and glucose: HbA1c reflects average glucose over months; a spot glucose measurement reflects the moment. Trending glucose downward while HbA1c stays flat is a different picture than glucose going up with HbA1c. Go to post

post #21 is right about the mechanism and I think understates the practical bit.

Liver enzymes: elevation does not specify cause. ALT and AST can rise from many things. Bilirubin helps narrow down the cause. Multiple markers together are more informative than one alone.

0 likes in reply to #20 3mo
TW
t.wojcikTL2 Moderator5 May 2026#23

TSH and free hormones: TSH is a reasonable screening test but does not tell you about actual free hormone levels. If TSH is abnormal, free thyroid hormones confirm whether there is a real thyroid problem.

0 likes 3mo
JD
j.dahlbergTL2 Moderator6 May 2026#24

Reference intervals: constructed to contain the central 95% of a reference population, which means one in twenty healthy people falls outside one by definition. Add biological variation and analytical imprecision and the base rate of a meaningless flag is substantial.

17 likes 3mo
BO
b.okonkwoTL2 Moderator8 May 2026#25
j.fonseca, post #1: Fasting versus non-fasting and which tests care Writing it up because I had to work it out twice and would rather nobody else did. General question, not a request for advice about my own care — I know the difference and I would rather be told to see my prescriber than get an answer that pretends otherwise. I have a panel in front of me… Go to post

A single value outside interval: usually uninformative on a single draw. What makes a result interesting: a trend across multiple draws, a magnitude well beyond the interval, a pattern that coheres with other values, or symptoms that fit.

1 like in reply to #1 3mo
FF
f.fonsecaTL2 Moderator10 May 2026#26
v.bhattacharya, post #21: Worth separating two things that post #17 runs together. Two things before anyone answers the substance. First, the context in the first post is clear and specific. Second, the question is framed so that an answer can actually address it. Both are the norm here and both matter more than they sound. Go to post

post #25 answers the question as asked. The question underneath it is different.

Renal function markers: eGFR is estimated, not measured. It depends on creatinine, age, and weight. A small change in creatinine might not mean a real change in kidney function.

0 likes in reply to #21 3mo
HS
hana.satoTL4 Moderator12 May 2026#27
Staff post. Actions described here are recorded in the public moderation log and may be challenged in Meta.

Coming back to post #25, because the follow-up matters more than the original answer.

Analytical imprecision: any measurement has an error margin. A small difference in consecutive tests is usually measurement noise, not a real change. Knowing the imprecision helps distinguish noise from signal.

25 likes 3mo
FA
f.amankwahTL2 Moderator13 May 2026#28

Fasting state: some lab tests require fasting; others do not. Lipids on a fasting draw differ from lipids on a fed draw. Always note whether the test was fasting when comparing results.

12 likes 3mo
PI
p.iyer_pharmdTL3Pharmacist15 May 2026 · edited#29

Reference intervals: constructed to contain the central 95% of a reference population, which means one in twenty healthy people falls outside one by definition. Add biological variation and analytical imprecision and the base rate of a meaningless flag is substantial.

11 likes 2mo
CO
c.ostergaardTL2 Moderator17 May 2026#30

A single value outside interval: usually uninformative on a single draw. What makes a result interesting: a trend across multiple draws, a magnitude well beyond the interval, a pattern that coheres with other values, or symptoms that fit.

3 likes 2mo