{"title":"Advancements in Incident Heart Failure Risk Prediction and Screening Tools","authors":"","doi":"10.1016/j.amjcard.2024.07.014","DOIUrl":null,"url":null,"abstract":"<div><p>Heart failure (HF) is a major cause of mortality and morbidity in the United States that carries substantial healthcare costs. Multiple risk prediction models and strategies have been developed over the past 30 years with the aim of identifying those at high risk of developing HF and of implementing preventive therapies effectively. This review highlights recent developments in HF risk prediction tools including emerging risk factors, innovative risk prediction models, and novel screening strategies from artificial intelligence to biomarkers. These developments allow more accurate prediction, but their impact on clinical outcomes remains to be investigated. Implementation of these risk models in clinical practice is a considerable challenge, but HF risk prediction tools offer a promising opportunity to improve outcomes while maintaining value.</p></div>","PeriodicalId":7705,"journal":{"name":"American Journal of Cardiology","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0002914924005381/pdfft?md5=3817c5d8d8aac9fcc2332fb576551532&pid=1-s2.0-S0002914924005381-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Cardiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0002914924005381","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Heart failure (HF) is a major cause of mortality and morbidity in the United States that carries substantial healthcare costs. Multiple risk prediction models and strategies have been developed over the past 30 years with the aim of identifying those at high risk of developing HF and of implementing preventive therapies effectively. This review highlights recent developments in HF risk prediction tools including emerging risk factors, innovative risk prediction models, and novel screening strategies from artificial intelligence to biomarkers. These developments allow more accurate prediction, but their impact on clinical outcomes remains to be investigated. Implementation of these risk models in clinical practice is a considerable challenge, but HF risk prediction tools offer a promising opportunity to improve outcomes while maintaining value.
期刊介绍:
Published 24 times a year, The American Journal of Cardiology® is an independent journal designed for cardiovascular disease specialists and internists with a subspecialty in cardiology throughout the world. AJC is an independent, scientific, peer-reviewed journal of original articles that focus on the practical, clinical approach to the diagnosis and treatment of cardiovascular disease. AJC has one of the fastest acceptance to publication times in Cardiology. Features report on systemic hypertension, methodology, drugs, pacing, arrhythmia, preventive cardiology, congestive heart failure, valvular heart disease, congenital heart disease, and cardiomyopathy. Also included are editorials, readers'' comments, and symposia.