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Biological Variation Estimates for Plasma Copeptin and Clinical Implications
Kay Weng Choy1, Anna Carobene2, Tze Ping Loh3
1Department of Pathology, Northern Health, Epping, Australia.
The Journal of Applied Laboratory Medicine
|April 5, 2024
Summary
This study quantifies biological variation in copeptin levels among healthy individuals, establishing reference change values for improved patient monitoring. These findings are crucial for understanding copeptin
Area of Science:
- Endocrinology and Metabolism
- Clinical Chemistry
- Biomarker Research
Background:
- Plasma copeptin is used for diagnosing polyuria-polydipsia syndrome and as a cardiovascular prognostic marker.
- Limited data exists on the within- and between-subject biological variation (BV) of copeptin.
- This study provides essential BV estimates for copeptin in healthy individuals.
Purpose of the Study:
- To determine the biological variation (BV) of plasma copeptin in healthy individuals.
- To establish reference change values (RCVs) for serial copeptin monitoring.
- To provide data for refining analytical performance specifications (APS) and index of individuality (II).
Main Methods:
- Weekly blood samples were collected from 41 healthy subjects over 5 weeks.
- Samples were analyzed using the BRAHMS Copeptin proAVP KRYPTOR assay after overnight fasting.
- CV-ANOVA was employed to estimate BV and analytical variation (CVA), with calculations for RCVs and II.
Main Results:
- Copeptin concentrations were significantly higher in males (8.5 pmol/L) than females (5.2 pmol/L).
- Within-subject biological variation (CVI) was estimated at 18.0% for males and 19.0% for females.
- Marked individuality was observed, with RCVs of -35% and 54% for decreasing and increasing values, respectively.
Conclusions:
- Biological variation data enables refined APS, II, and RCVs for serial monitoring of conditions like heart failure.
- These BV estimates are valid for individuals who have abstained from food and fluids.
- Understanding copeptin's BV is vital for accurate clinical interpretation and patient management.
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