[HTML][HTML] New biomarkers and their potential role in heart failure treatment optimisation—An African perspective

M Badianyama, D Mpanya, U Adamu… - Journal of …, 2022 - mdpi.com
M Badianyama, D Mpanya, U Adamu, F Sigauke, S Nel, N Tsabedze
Journal of Cardiovascular Development and Disease, 2022mdpi.com
Heart failure is a clinical syndrome resulting from various cardiovascular diseases of
different aetiologies and pathophysiology. These varying pathologies involve several
complex mechanisms that lead to the activation of the neurohumoral system, inflammation,
angiogenesis, apoptosis, fibrosis, and eventually adverse cardiac remodelling associated
with a progressive decline in cardiac function. Once a diagnosis is made, the cardiac
function has a gradual decline characterised by multiple hospital admissions. It is therefore …
Heart failure is a clinical syndrome resulting from various cardiovascular diseases of different aetiologies and pathophysiology. These varying pathologies involve several complex mechanisms that lead to the activation of the neurohumoral system, inflammation, angiogenesis, apoptosis, fibrosis, and eventually adverse cardiac remodelling associated with a progressive decline in cardiac function. Once a diagnosis is made, the cardiac function has a gradual decline characterised by multiple hospital admissions. It is therefore imperative to identify patients at different stages of the heart failure continuum to better risk stratify and initiate optimal management strategies. Biomarkers may play a role in the diagnosis, prognostication, and monitoring response to treatment. This review discusses the epidemiology of heart failure and biomarkers commonly used in clinical practice such as natriuretic peptides and cardiac troponins. In addition, we provide a brief overview of novel biomarkers and genetic coding and non-coding biomarkers used in the management of patients with heart failure. We also discuss barriers that hinder the clinical application of novel biomarkers. Finally, we appraise the value of polygenic risk scoring, focusing on sub-Saharan Africa.
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