Prioritizing the primary prevention of heart failure: Measuring, modifying and monitoring risk.

Prog Cardiovasc Dis

Department of Medicine, Division of Cardiovascular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Electronic address:

Published: March 2024

AI Article Synopsis

  • Heart failure (HF) is becoming more common, so preventing it in people at risk (called Stage A and Stage B) is really important to stop it from getting worse.
  • First, it's important to find out who is at risk by looking at health factors and family history, then use specific tools to measure their risk.
  • Finally, helping people with advice and new treatments, along with using technology like telemedicine, can make it easier for at-risk groups to get care and improve heart health.

Article Abstract

With the rising incidence of heart failure (HF) and increasing burden of morbidity, mortality, and healthcare expenditures, primary prevention of HF targeting individuals in at-risk HF (Stage A) and pre-HF (Stage B) Stages has become increasingly important with the goal to decrease progression to symptomatic (Stage C) HF. Identification of risk based on traditional risk factors (e.g., cardiovascular health which can be assessed with the American Heart Association's Life's Essential 8 framework), adverse social determinants of health, inherited risk of cardiomyopathies, and identification of risk-enhancing factors, such as patients with viral disease, exposure to cardiotoxic chemotherapy, and history of adverse pregnancy outcomes should be the first step in evaluation for HF risk. Next, use of guideline-endorsed risk prediction tools such as Pooled Cohort Equations to Prevent Heart Failure provide quantification of absolute risk of HF based in traditional risk factors. Risk reduction through counseling on traditional risk factors is a core focus of implementation of prevention and may include the use of novel therapeutics that target specific pathways to reduce risk of HF, such as mineralocorticoid receptor agonists (e.g., fineronone), angiotensin-receptor/neprolysin inhibitors, and sodium glucose co-transporter-2 inhibitors. These interventions may be limited in at-risk populations who experience adverse social determinants and/or individuals who reside in rural areas. Thus, strategies like telemedicine may improve access to preventive care. Gaps in the current knowledge base for risk-based prevention of HF are highlighted to outline future research that may target approaches for risk assessment and risk-based prevention with the use of artificial intelligence, genomics-enhanced strategies, and pragmatic trials to develop a guideline-directed medical therapy approach to reduce risk among individuals with Stage A and Stage B HF.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10947831PMC
http://dx.doi.org/10.1016/j.pcad.2024.01.001DOI Listing

Publication Analysis

Top Keywords

risk
13
heart failure
12
traditional risk
12
risk factors
12
primary prevention
8
risk based
8
based traditional
8
adverse social
8
social determinants
8
reduce risk
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!