Clinical chemistry · 2026
Biological Variation of Natriuretic Peptides and Other Cardiovascular Disease-Related Biomarkers: A Systematic Review and Meta-analysis.
СтатьяСистематический обзорМетаанализНазвание и аннотация: Перевод пока не подготовлен
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Fernández-Calle Pilar, Díaz-Garzón Jorge, Bartlett Bill, Coskun Abdurrahman, Carobene Anna, González-Lao Elisabeth, Marqués-García Fernando, Sufrate-Vergara Berta, Moreno-Parro Isabel, Galior Kornelia, Topcu Denis İlhan, Sandberg Sverre, Aarsand Aasne K
Аннотация
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.
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.