Division of Cardiovascular Diseases and Hypertension, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA; Cardiovascular Services, Robert Wood Johnson University Hospital, New Brunswick, NJ, USA.
Department of Cardiothoracic Surgery, Erasmus MC Rotterdam, Thorax Center, Rotterdam, Netherlands.
Lancet. 2024 Apr 20;403(10436):1590-1602. doi: 10.1016/S0140-6736(23)02754-X. Epub 2024 Mar 27.
Valvular heart disease (VHD) is becoming more prevalent in an ageing population, leading to challenges in diagnosis and management. This two-part Series offers a comprehensive review of changing concepts in VHD, covering diagnosis, intervention timing, novel management strategies, and the current state of research. The first paper highlights the remarkable progress made in imaging and transcatheter techniques, effectively addressing the treatment paradox wherein populations at the highest risk of VHD often receive the least treatment. These advances have attracted the attention of clinicians, researchers, engineers, device manufacturers, and investors, leading to the exploration and proposal of treatment approaches grounded in pathophysiology and multidisciplinary strategies for VHD management. This Series paper focuses on innovations involving computational, pharmacological, and bioengineering approaches that are transforming the diagnosis and management of patients with VHD. Artificial intelligence and digital methods are enhancing screening, diagnosis, and planning procedures, and the integration of imaging and clinical data is improving the classification of VHD severity. The emergence of artificial intelligence techniques, including so-called digital twins-eg, computer-generated replicas of the heart-is aiding the development of new strategies for enhanced risk stratification, prognostication, and individualised therapeutic targeting. Various new molecular targets and novel pharmacological strategies are being developed, including multiomics-ie, analytical methods used to integrate complex biological big data to find novel pathways to halt the progression of VHD. In addition, efforts have been undertaken to engineer heart valve tissue and provide a living valve conduit capable of growth and biological integration. Overall, these advances emphasise the importance of early detection, personalised management, and cutting-edge interventions to optimise outcomes amid the evolving landscape of VHD. Although several challenges must be overcome, these breakthroughs represent opportunities to advance patient-centred investigations.
瓣膜性心脏病(VHD)在老龄化人口中变得更为普遍,导致诊断和管理方面的挑战。本系列文章共两部分,全面回顾了 VHD 概念的变化,涵盖诊断、干预时机、新的管理策略以及当前的研究现状。第一篇文章重点介绍了影像学和经导管技术的显著进展,有效地解决了 VHD 治疗悖论,即 VHD 风险最高的人群往往接受的治疗最少。这些进展引起了临床医生、研究人员、工程师、器械制造商和投资者的关注,促使人们探索并提出基于病理生理学和多学科策略的 VHD 管理治疗方法。本系列文章重点介绍了涉及计算、药理学和生物工程方法的创新,这些创新正在改变 VHD 患者的诊断和管理方式。人工智能和数字方法正在增强筛查、诊断和规划程序,影像学和临床数据的整合正在改善 VHD 严重程度的分类。人工智能技术的出现,包括所谓的数字孪生技术,例如心脏的计算机生成复制品,正在帮助开发新的策略,以增强风险分层、预后和个体化治疗靶向。正在开发各种新的分子靶点和新型药理学策略,包括多组学,即用于整合复杂生物大数据以发现阻止 VHD 进展的新途径的分析方法。此外,还努力构建心脏瓣膜组织并提供具有生长和生物整合能力的活瓣管道。总的来说,这些进展强调了在 VHD 不断变化的背景下,早期发现、个性化管理和尖端干预的重要性,以优化结果。尽管还需要克服一些挑战,但这些突破为推进以患者为中心的研究提供了机会。