4.5 Review

Circulating heart failure biomarkers beyond natriuretic peptides: review from the Biomarker Study Group of the Heart Failure Association (HFA), European Society of Cardiology (ESC)

Journal

EUROPEAN JOURNAL OF HEART FAILURE
Volume 23, Issue 10, Pages 1610-1632

Publisher

WILEY
DOI: 10.1002/ejhf.2346

Keywords

Biomarkers; Heart failure; Cardiac troponin; sST2; Growth differentiation factor-15; Galectin-3; Procalcitonin; Adrenomedullin

Funding

  1. Mandema-Stipendium of the Junior Scientific Masterclass [2020-10]
  2. Netherlands Heart Foundation
  3. Netherlands Heart Foundation (CVON SHE-PREDICTS-HF) [2017-21]
  4. CVON PREDICT2 [2018-30]
  5. leDucq Foundation
  6. European Research Council [ERC CoG 818715]
  7. CVON RED-CVD [2017-11]
  8. CVON DOUBLE DOSE [2020B005]

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This review examined the most promising emerging biomarkers for the clinical assessment and management of patients with heart failure, including high-sensitivity cardiac troponins, procalcitonin, novel kidney markers, sST2, galectin-3, GDF-15, CD146, neprilysin, and ADM. Analytical considerations, diagnostic and prognostic performance, potential implementation in clinical algorithms, and ongoing clinical trials were discussed for each biomarker.
New biomarkers are being evaluated for their ability to advance the management of patients with heart failure. Despite a large pool of interesting candidate biomarkers, besides natriuretic peptides virtually none have succeeded in being applied into the clinical setting. In this review, we examine the most promising emerging candidates for clinical assessment and management of patients with heart failure. We discuss high-sensitivity cardiac troponins (Tn), procalcitonin, novel kidney markers, soluble suppression of tumorigenicity 2 (sST2), galectin-3, growth differentiation factor-15 (GDF-15), cluster of differentiation 146 (CD146), neprilysin, adrenomedullin (ADM), and also discuss proteomics and genetic-based risk scores. We focused on guidance and assistance with daily clinical care decision-making. For each biomarker, analytical considerations are discussed, as well as performance regarding diagnosis and prognosis. Furthermore, we discuss potential implementation in clinical algorithms and in ongoing clinical trials.

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