de Vere Felicity, Wijesuriya Nadeev, Howell Sandra, Elliott Mark K, Mehta Vishal, Mannakkara Nilanka N, Strocchi Marina, Niederer Steven A, Rinaldi Christopher A
School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Department of Cardiology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Expert Rev Cardiovasc Ther. 2024 Dec 25;22(12):1-18. doi: 10.1080/14779072.2024.2445246.
Cardiac Resynchronization Therapy (CRT) is an effective treatment for heart failure (HF) in approximately two-thirds of recipients, with a third remaining CRT 'non-responders.' There is an increasing body of evidence exploring the reasons behind non-response, as well as ways to preempt or counteract it.
This review will examine the most recent evidence regarding optimizing outcomes from CRT, as well as explore whether traditional CRT indeed remains the best first-line therapy for electrical resynchronization in HF. We will start by discussing methods of preempting non-response, such as refining patient selection and procedural technique, before reviewing how responses can be optimized post-implantation. For the purpose of this review, evidence was gathered from electronic literature searches (via PubMed and GoogleScholar), with a particular focus on primary evidence published in the last 5 years.
Ever-expanding research in the field of device therapy has armed physicians with more tools than ever to treat dyssynchronous HF. Newer developments, such as artificial intelligence (AI) guided device programming and conduction system pacing (CSP) are particularly exciting, and we will discuss how they could eventually lead to truly personalized care by maximizing outcomes from CRT.
心脏再同步治疗(CRT)对约三分之二的心力衰竭(HF)患者是一种有效的治疗方法,另有三分之一的患者对CRT无反应。越来越多的证据在探究无反应背后的原因以及预防或对抗无反应的方法。
本综述将审视关于优化CRT治疗效果的最新证据,并探讨传统CRT是否确实仍是HF电再同步治疗的最佳一线疗法。我们将首先讨论预防无反应的方法,如优化患者选择和手术技术,然后再回顾植入后如何优化反应。为进行本综述,通过电子文献检索(通过PubMed和谷歌学术)收集证据,特别关注过去5年发表的主要证据。
设备治疗领域不断扩展的研究为医生提供了比以往更多的治疗不同步HF的工具。人工智能(AI)引导的设备编程和传导系统起搏(CSP)等新进展尤其令人兴奋,我们将讨论它们最终如何通过最大化CRT的治疗效果实现真正的个性化医疗。