The DOI matches its Crossref record; 134 of the 134 references it cites were found in a registry or an index.
Biomarkers for the diagnosis and management of heart failure
Open accessAbstract
Heart failure (HF) is a significant cause of morbidity and mortality worldwide. Circulating biomarkers reflecting pathophysiological pathways involved in HF development and progression may assist clinicians in early diagnosis and management of HF patients. Natriuretic peptides (NPs) are cardioprotective hormones released by cardiomyocytes in response to pressure or volume overload. The roles of B-type NP (BNP) and N-terminal pro-B-type NP (NT-proBNP) for diagnosis and risk stratification in HF have been extensively demonstrated, and these biomarkers are emerging tools for population screening and as guides to the start of treatment in subclinical HF. On the contrary, conflicting evidence exists on the role of NPs as a guide to HF therapy. Among the other biomarkers, high-sensitivity troponins and soluble suppression of tumorigenesis-2 are the most promising biomarkers for risk stratification, with independent value to NPs. Other biomarkers evaluated as predictors of adverse outcome are galectin-3, growth differentiation factor 15, mid-regional pro-adrenomedullin, and makers of renal dysfunction. Multi-marker scores and genomic, transcriptomic, proteomic, and metabolomic analyses could further refine HF management.
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Metadata
- Authors
- Castiglione, V., Aimo, A., Vergaro, G., Saccaro, L., Passino, C., & Emdin, M.
- Venue
- Heart Failure Reviews
- Published
- 2021-04-14
- Volume
- 27
- Issue
- 2
- Pages
- 625-643
- ISSN
- 1382-4147 (ISSN-L)
- 1573-7322
- OpenAlex
- W3153950084
- Cited by
- 512
- References
- 134
- FWCI
- 40.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Castiglione, V., Aimo, A., Vergaro, G., Saccaro, L., Passino, C., & Emdin, M. (2022). Biomarkers for the diagnosis and management of heart failure. Heart Failure Reviews. https://doi.org/10.1007/s10741-021-10105-w
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.