Determination of the biological variation and reference change value of lipoprotein (a)

Kofi Antwi1, Paul Downie1, Wycliffe Mbagaya1

  • 1Department of Clinical Biochemistry, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.

PubMed

Insights

Understanding lipoprotein (a) [Lp(a)] biological variation is key for assessing cardiovascular disease risk. This study found a lower intra-individual variability (CVi) for Lp(a), suggesting single measurements may be insufficient for risk prognostication.

Area of Science:

  • Clinical Chemistry
  • Cardiovascular Disease Biomarkers

Background:

  • Lipoprotein (a) [Lp(a)] measurement variability impacts its association with coronary heart disease (CHD) and atherosclerotic cardiovascular disease (ASCVD) risk assessment.
  • Understanding biological variation (BV) and reference change value (RCV) of Lp(a) is crucial for clinical management.

Purpose of the Study:

  • To establish the components of biological variation (BV) and reference change value (RCV) for Lp(a) in a UK cohort.
  • To assess the clinical utility of Lp(a) measurements in predicting ASCVD risk.

Main Methods:

  • Recruited 22 healthy individuals for a six-week blood sample collection.
  • Analyzed samples using the Lp(a) assay by Sentinel Diagnostics on a Beckman Coulter AU5800.
  • Applied CV-ANOVA to determine BV estimates, adhering to BIVAC quality items, and calculated RCV based on CVA and CVI.

Main Results:

  • Excluded four participants due to Lp(a) levels below assay sensitivity.
  • Mean Lp(a) concentration ranged from 14 to 241 nmol/L.
  • The overall intra-individual coefficient of variation (CVI) was 10.9% (95% CI: 9.1-13.0%), with an RCV of +31.6%/-24.0%.

Conclusions:

  • The estimated CVI for Lp(a) aligns with recent quality-adherent studies and is lower than estimates from studies prior to 2003.
  • The CVI highlights limitations of single Lp(a) measurements for ASCVD risk prognostication and identifying candidates for Lp(a) therapies.
  • Emphasizes the need for careful interpretation of Lp(a) results, especially near clinical decision thresholds.