Kraler Simon, Mueller Christian, Libby Peter, Bhatt Deepak L
Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland.
Department of Cardiology and Internal Medicine, Cantonal Hospital Baden, Baden, Switzerland.
Eur Heart J. 2025 Aug 1;46(29):2866-2889. doi: 10.1093/eurheartj/ehaf289.
Despite advances in research and patient management, atherosclerosis and its dreaded acute and chronic sequelae continue to account for one out of three deaths globally. The vast majority of acute coronary syndromes (ACS) arise from either plaque rupture or erosion, but other mechanisms, including calcific nodules, embolism, spontaneous coronary artery dissection, coronary spasm, and microvascular dysfunction, can also cause ACS. This ACS heterogeneity necessitates a paradigm shift in its management that extends beyond the binary interpretation of electrocardiographic and biomarker data. Indeed, given the evolution in the global risk factor profile, the increasing importance of previously underappreciated mechanisms, the evolving appreciation of sex-specific disease characteristics, and the advent of rapidly evolving technologies, a precision medicine approach is warranted. This review provides an update of the mechanisms of ACS, delineates the role of previously underappreciated contributors, discusses sex-specific differences, and explores novel tools for contemporary and personalized management of patients with ACS. Beyond mechanistic insights, it examines evolving imaging techniques, biomarkers, and regression- and machine learning-based approaches for the diagnosis (e.g. CoDE-ACS, MI3) and prognosis (e.g. PRAISE, GRACE, SEX-SHOCK scores) of ACS, along with their implications for future ACS management. A more individualized approach to patients with ACS is advocated, emphasizing the need for innovative studies on emerging technologies, including artificial intelligence, which may collectively facilitate clinical decision-making within a more mechanistic framework, thereby personalizing patient care and potentially improving long-term outcomes.
尽管在研究和患者管理方面取得了进展,但动脉粥样硬化及其可怕的急慢性后果仍然是全球三分之一死亡的原因。绝大多数急性冠状动脉综合征(ACS)源于斑块破裂或糜烂,但其他机制,包括钙化结节、栓塞、自发性冠状动脉夹层、冠状动脉痉挛和微血管功能障碍,也可导致ACS。这种ACS的异质性使得其管理模式需要发生转变,这种转变不仅仅局限于对心电图和生物标志物数据的二元解读。事实上,鉴于全球风险因素状况的演变、先前未被充分认识的机制的重要性日益增加、对性别特异性疾病特征的认识不断发展以及快速发展的技术的出现,精准医学方法是必要的。本综述提供了ACS机制的最新情况,阐述了先前未被充分认识的因素的作用,讨论了性别差异,并探索了用于当代和个性化管理ACS患者的新工具。除了机制方面的见解,它还研究了用于ACS诊断(如CoDE-ACS、MI3)和预后(如PRAISE、GRACE、SEX-SHOCK评分)的不断发展的成像技术、生物标志物以及基于回归和机器学习的方法,以及它们对未来ACS管理的影响。提倡对ACS患者采取更个体化的方法,强调需要对包括人工智能在内的新兴技术进行创新性研究,这些技术可能共同促进在更具机制性的框架内进行临床决策,从而实现患者护理的个性化并可能改善长期预后。