{"title":"Non-traditional risk factors for atrial fibrillation: epidemiology, mechanisms, and strategies.","authors":"Yingli Lu, Ying Sun, Lingli Cai, Bowei Yu, Yuying Wang, Xiao Tan, Heng Wan, Dachun Xu, Junfeng Zhang, Lu Qi, Prashanthan Sanders, Ningjian Wang","doi":"10.1093/eurheartj/ehae887","DOIUrl":"10.1093/eurheartj/ehae887","url":null,"abstract":"<p><p>Atrial fibrillation (AF) has become the pre-dominant arrhythmia worldwide and is associated with high morbidity and mortality. Its pathogenesis is intricately linked to the deleterious impact of cardiovascular risk factors, emphasizing the pivotal imperative for early detection and mitigation strategies targeting these factors for the prevention of primary AF. While traditional risk factors are well recognized, an increasing number of novel risk factors have been identified in recent decades. This review explores the emerging non-traditional risk factors for the primary prevention of AF, including unhealthy lifestyle factors in current society (sleep, night shift work, and diet), biomarkers (gut microbiota, hyperuricaemia, and homocysteine), adverse conditions or diseases (depression, epilepsy, clonal haematopoiesis of indeterminate potential, infections, and asthma), and environmental factors (acoustic pollution and other environmental factors). Unlike traditional risk factors, individuals have limited control over many of these non-traditional risk factors, posing challenges to conventional prevention strategies. The purpose of this review is to outline the current evidence on the associations of non-traditional risk factors with new-onset AF and the potential mechanisms related to these risk factors. Furthermore, this review aims to explore potential interventions targeting these risk factors at both the individual and societal levels to mitigate the growing burden of AF, suggesting guideline updates for primary AF prevention.</p>","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":"784-804"},"PeriodicalIF":37.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiun-Ruey Hu, John R Power, Faiez Zannad, Carolyn S P Lam
{"title":"Artificial intelligence and digital tools for design and execution of cardiovascular clinical trials.","authors":"Jiun-Ruey Hu, John R Power, Faiez Zannad, Carolyn S P Lam","doi":"10.1093/eurheartj/ehae794","DOIUrl":"10.1093/eurheartj/ehae794","url":null,"abstract":"<p><p>Recent advances have given rise to a spectrum of digital health technologies that have the potential to revolutionize the design and conduct of cardiovascular clinical trials. Advances in domain tasks such as automated diagnosis and classification, synthesis of high-volume data and latent data from adjacent modalities, patient discovery, telemedicine, remote monitoring, augmented reality, and in silico modelling have the potential to enhance the efficiency, accuracy, and cost-effectiveness of cardiovascular clinical trials. However, early experience with these tools has also exposed important issues, including regulatory barriers, clinical validation and acceptance, technological literacy, integration with care models, and health equity concerns. This narrative review summarizes the landscape of digital tools at each stage of clinical trial planning and execution and outlines roadblocks and opportunities for successful implementation of digital tools in cardiovascular clinical trials.</p>","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":"814-826"},"PeriodicalIF":37.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142767009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Giuseppe Boriani, Davide Antonio Mei, Gregory Y H Lip
{"title":"Artificial intelligence in patients with atrial fibrillation to manage clinical complexity and comorbidities: the ARISTOTELES project.","authors":"Giuseppe Boriani, Davide Antonio Mei, Gregory Y H Lip","doi":"10.1093/eurheartj/ehae792","DOIUrl":"10.1093/eurheartj/ehae792","url":null,"abstract":"","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":"775-777"},"PeriodicalIF":37.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142805563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Weekly Journal Scan: The jury is still out on beta-blockers following acute myocardial infarction with preserved ejection fraction after the ABYSS trial.","authors":"Daniela Pedicino, Massimo Volpe","doi":"10.1093/eurheartj/ehae858","DOIUrl":"10.1093/eurheartj/ehae858","url":null,"abstract":"","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":"874-875"},"PeriodicalIF":37.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142823538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to: Obesity and cardiovascular disease: an ESC clinical consensus statement.","authors":"","doi":"10.1093/eurheartj/ehae915","DOIUrl":"10.1093/eurheartj/ehae915","url":null,"abstract":"","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":"876"},"PeriodicalIF":37.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142921066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Expanding artificial intelligence to understudied populations: congenital heart disease as the next frontier.","authors":"Evangelos K Oikonomou, Rohan Khera","doi":"10.1093/eurheartj/ehae737","DOIUrl":"10.1093/eurheartj/ehae737","url":null,"abstract":"","PeriodicalId":11976,"journal":{"name":"European Heart Journal","volume":" ","pages":"869-871"},"PeriodicalIF":37.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11879170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142616806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}