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Baseline laboratory panel (revision 9)

Old revision·11:39, 15 Jan 2025·DrTitration

This is an old revision of this page, as it stood at 11:39, 15 Jan 2025, saved by DrTitration with the summary clarify that the reference interval is not a treatment target. It may differ substantially from the current revision, and any error it contains may since have been corrected.
Baseline laboratory panel
PurposeA comparator for later measurements
PrincipleSame laboratory, same assay, same conditions
Common domainsGlycaemic, lipid, hepatic, renal, thyroid
List infobox · conventions

A baseline laboratory panel is the set of measurements taken before an intervention begins, so that measurements taken later have something to be compared against. Its value lies in the comparison rather than in any individual value.[1]

The principle that makes a baseline useful is consistency: the same analytes, on the same assay platform, under the same collection conditions. A follow-up measurement from a different laboratory may differ from the baseline by more than the intervention changed it. See Fasting insulin for the clearest example of between-assay variation.[2]

The panels discussed in this field typically span glycaemic markers, a lipid panel, hepatic and renal function, and thyroid function, with additions according to the question being asked.[1]

Common components

[edit]
DomainTypical analytes
GlycaemicHaemoglobin A1c, fasting glucose, Fasting insulin
LipidLipid panel, Apolipoprotein B where available
HepaticAlanine transaminase, Gamma-glutamyl transferase
RenalCreatinine with eGFR, Urine albumin-to-creatinine ratio
ThyroidThyroid function test
OtherVitamin B12 status, High-sensitivity C-reactive protein

The table lists analytes that appear in the literature and in the panels people discuss; it is not a recommendation, and which measurements are appropriate for any individual is a clinical question this wiki does not answer.[1]

Derived indices such as HOMA-IR are computed from panel components rather than measured, and inherit the properties of their inputs.[2]

References

  1. ^ a b c American Diabetes Association. "Standards of Care in Diabetes." Diabetes Care 47(Suppl 1) (2024).
  2. ^ a b Wallace TM, Levy JC, Matthews DR. "Use and abuse of HOMA modeling." Diabetes Care 27(6):1487–1495 (2004). PMID 15161807.