» Articles » PMID: 28205040

Clinical Phenotyping of Heart Failure with Biomarkers: Current and Future Perspectives

Overview
Publisher Current Science
Date 2017 Feb 17
PMID 28205040
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Introduction: Heart failure (HF) is a complex clinical syndrome with diverse risk factors and etiologies, differing underlying pathophysiology, and large phenotypic heterogeneity.

Recent Findings: Advances in imaging techniques coupled with clinical trials that targeted only in those with impaired left ventricular ejection fraction (LVEF) have largely shaped the current management strategy for HF that focuses predominantly in patients with systolic HF. In contrast, there are no effective treatments for HF with preserved ejection fraction (HFpEF). Instead of this "one-size-fits-all" approach to treatment, better precision to define HF phenotypic classifications may lead to more efficient and effective HF disease management.

Conclusion: Integrating variables-including clinical variables, HF biomarkers, imaging, genotypes, metabolomics, and proteomics-can identify different pathophysiologies, lead to more precise phenotypic classification, and warrant investigation in future clinical trials.

Citing Articles

Utilizing longitudinal data in assessing all-cause mortality in patients hospitalized with heart failure.

Herman R, Vanderheyden M, Vavrik B, Beles M, Palus T, Nelis O ESC Heart Fail. 2022; 9(5):3575-3584.

PMID: 35695324 PMC: 9715844. DOI: 10.1002/ehf2.14011.


GEO Data Sets Analysis Identifies COX-2 and Its Related Micro RNAs as Biomarkers for Non-Ischemic Heart Failure.

Yan Y, Song D, Zhang X, Hui G, Wang J Front Pharmacol. 2020; 11:1155.

PMID: 32848764 PMC: 7419645. DOI: 10.3389/fphar.2020.01155.


Cardiovascular-renal axis disorder and acute-phase proteins in cats with congestive heart failure caused by primary cardiomyopathy.

Liu M, Koster L, Fosgate G, Chadwick C, Sanz-Gonzalez I, Eckersall P J Vet Intern Med. 2020; 34(3):1078-1090.

PMID: 32395893 PMC: 7255652. DOI: 10.1111/jvim.15757.


Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care.

Barrett M, Boyne J, Brandts J, Brunner-La Rocca H, De Maesschalck L, De Wit K EPMA J. 2019; 10(4):445-464.

PMID: 31832118 PMC: 6882991. DOI: 10.1007/s13167-019-00188-9.


Novel Mechanisms in Heart Failure With Preserved, Midrange, and Reduced Ejection Fraction.

Lakhani I, Leung K, Tse G, Lee A Front Physiol. 2019; 10:874.

PMID: 31333505 PMC: 6625157. DOI: 10.3389/fphys.2019.00874.


References
1.
Shah R, Chen-Tournoux A, Picard M, Van Kimmenade R, Januzzi J . Galectin-3, cardiac structure and function, and long-term mortality in patients with acutely decompensated heart failure. Eur J Heart Fail. 2010; 12(8):826-32. PMC: 2913048. DOI: 10.1093/eurjhf/hfq091. View

2.
de Boer R, Lok D, Jaarsma T, van der Meer P, Voors A, Hillege H . Predictive value of plasma galectin-3 levels in heart failure with reduced and preserved ejection fraction. Ann Med. 2010; 43(1):60-8. PMC: 3028573. DOI: 10.3109/07853890.2010.538080. View

3.
Grodin J, Perez A, Wu Y, Hernandez A, Butler J, Metra M . Circulating Kidney Injury Molecule-1 Levels in Acute Heart Failure: Insights From the ASCEND-HF Trial (Acute Study of Clinical Effectiveness of Nesiritide in Decompensated Heart Failure). JACC Heart Fail. 2015; 3(10):777-85. DOI: 10.1016/j.jchf.2015.06.006. View

4.
Meder B, Ruhle F, Weis T, Homuth G, Keller A, Franke J . A genome-wide association study identifies 6p21 as novel risk locus for dilated cardiomyopathy. Eur Heart J. 2013; 35(16):1069-77. DOI: 10.1093/eurheartj/eht251. View

5.
Tang W, Dupont M, Hernandez A, Voors A, Hsu A, Felker G . Comparative assessment of short-term adverse events in acute heart failure with cystatin C and other estimates of renal function: results from the ASCEND-HF trial. JACC Heart Fail. 2014; 3(1):40-49. DOI: 10.1016/j.jchf.2014.06.014. View