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Biological variation of cardiac markers in patients with aortic valve stenosis

Frederique E C M Peeters1, Bas L J H Kietselaer2, Judith Hilderink3

  • 1Cardiology, Maastricht University Medical Center+ and CARIM, Maastricht, The Netherlands.

Open Heart
|June 7, 2019
PubMed

Insights

This study quantifies biological variation in cardiac biomarkers for stable aortic valve stenosis (AVS) patients. Understanding these variations aids in accurately interpreting biomarker changes for better AVS management.

Area of Science:

  • Cardiology
  • Clinical Biochemistry

Background:

  • Cardiac biomarkers are crucial for monitoring aortic valve stenosis (AVS).
  • Interpreting serial biomarker measurements in AVS patients requires distinguishing true changes from random fluctuations.
  • Robust estimation of biological variation is essential for reliable biomarker interpretation.

Purpose of the Study:

  • To assess the biological variation of key cardiac biomarkers in patients with stable AVS.
  • To provide data for evidence-based interpretation of biomarker changes in AVS follow-up.
  • To evaluate B-type natriuretic peptide (BNP), NT-proBNP, hs-TnT, hs-TnI, and ST2 variations.

Main Methods:

  • Serial blood sampling from 25 stable AVS patients over one year.
  • Measurement of analytical variation (CVA), within-subject biological variation (CVI), and between-subject biological variation (CVG).
  • Calculation of the index of individuality (II) and reference change values for each biomarker.

Main Results:

  • Within-subject variation (CVI) was highest for BNP (62.0%) and lowest for hs-TnI (9.2%).
  • Between-subject variation (CVG) exceeded CVI for all biomarkers except BNP.
  • Most biomarkers (NT-proBNP, hs-TnT, ST2) had low analytical variation (<5%), while BNP and hs-TnI had higher CVA.

Conclusions:

  • This study presents the first biological variation estimates for cardiac biomarkers in stable AVS patients.
  • These estimates facilitate more accurate interpretation of biomarker dynamics during AVS management.
  • Understanding biomarker variability improves clinical decision-making in AVS follow-up.
Abstract

Keywords:
aortic valve stenosisbiological variationcardiac biomarkersechocardiographyprogression

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