Abstract
Background: The clinical application of cardiovascular disease (CVD) biomarkers requires robust biological variation (BV) data to enable both interpretation of serial results and definition of appropriate analytical quality. A critical review and meta-analysis of eligible BV studies of natriuretic peptides and other CVD-related biomarkers was therefore undertaken, with a focus on differences observed in different states of health and the impact of sampling intervals on BV. Methods: BV studies of N-terminal pro–B-type natriuretic peptide (NT-proBNP), brain natriuretic peptide, N-terminal pro–A-type natriuretic peptide, galectin, copeptin, soluble suppression of tumorigenicity-2, and growth differentiation factor 15 were identified by a systematic literature review and assessed using the Biological Variation Data Critical Appraisal Checklist. A meta-analysis of eligible studies was used to derive within-subject (CVI) and between-subject BV estimates, which were used to calculate analytical performance specifications, indices of individuality, and reference change values. Results: Twenty-one studies were identified, only 3 of which achieved an A grade on the Biological Variation Data Critical Appraisal Checklist, indicating full checklist compliance. For NT-proBNP, meta-analysis–derived CVI estimates depended on sampling frequencies and study duration: <15 days (9.9%; 95% CI, 8.8–18.0) and >15 days (34.3%; 95% CI, 25.0–60.0). For the other biomarkers, from one to 5 BV studies were identified, reporting on different states of health and sampling intervals. Conclusions: This systematic review provides quality-assessed BV data for natriuretic peptides and other CVD markers. Our results highlight the influence of sampling frequency on CVI for NT-proBNP, potentially impacting the intended use. Further BV studies applicable to multiple clinical scenarios are required.
| Original language | English |
|---|---|
| Pages (from-to) | 857-867 |
| Number of pages | 11 |
| Journal | Clinical Chemistry |
| Volume | 72 |
| Issue number | 8 |
| Early online date | 11 Jun 2026 |
| DOIs | |
| Publication status | Published - Aug 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
ASJC Scopus subject areas
- Clinical Biochemistry
- Biochemistry, medical
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