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整合冠状动脉粥样硬化负担及进展与冠状动脉疾病危险因素以指导治疗决策

Integrating Coronary Atherosclerosis Burden and Progression with Coronary Artery Disease Risk Factors to Guide Therapeutic Decision Making.

作者信息

Freeman Andrew M, Raman Subha V, Aggarwal Monica, Maron David J, Bhatt Deepak L, Parwani Purvi, Osborne John, Earls James P, Min James K, Bax Jeroen J, Shapiro Michael D

机构信息

Division of Cardiology, Department of Medicine, National Jewish Health, Denver, Colo.

Division of Cardiology, Indiana University School of Medicine, Indianapolis.

出版信息

Am J Med. 2023 Mar;136(3):260-269.e7. doi: 10.1016/j.amjmed.2022.10.021. Epub 2022 Dec 10.

Abstract

IMPORTANCE

Although atherosclerosis represents the primary driver of coronary artery disease, evaluation and treatment approaches have historically relied upon indirect markers of atherosclerosis that include surrogates (cholesterol), signs (angina), and sequelae (ischemia) of atherosclerosis. Direct quantification and characterization of atherosclerosis may encourage a precision heart care paradigm that improves diagnosis, risk stratification, therapeutic decision-making, and longitudinal disease tracking in a personalized fashion.

OBSERVATIONS

The American College of Cardiology Innovations in Prevention Working Group introduce the Atherosclerosis Treatment Algorithms that personalize medical interventions based upon atherosclerosis findings from coronary computed tomography angiography (CTA) and cardiovascular risk factors. Through integration of coronary CTA-based atherosclerosis evaluation, clinical practice guidelines, and contemporary randomized controlled trial evidence, the Atherosclerosis Treatment Algorithms leverage patient-specific atherosclerosis burden and progression as primary targets for therapeutic intervention. After defining stages of atherosclerosis severity by coronary CTA, Atherosclerosis Treatment Algorithms are described for worsening stages of atherosclerosis for patients with lipid disorders, diabetes, hypertension, obesity, and tobacco use. The authors anticipate a rapid pace of research in the field, and conclude by providing perspectives on future needs that may improve efforts to optimize precision prevention of coronary artery disease. Importantly, the Atherosclerosis Treatment Algorithms are not endorsed by the American College of Cardiology, and should not be interpreted as a statement of American College of Cardiology policy.

CONCLUSIONS AND RELEVANCE

We describe a precision heart care approach that emphasizes atherosclerosis as the primary disease target for evaluation and treatment. To our knowledge, this is the first proposal to use coronary atherosclerosis burden and progression to personalize therapy selection and therapy changes, respectively.

DISCLOSURE

The American College of Cardiology Foundation has made an investment in Cleerly, Inc., makers of a software solution that utilizes coronary CT angiography findings to evaluate coronary artery disease.

摘要

重要性

尽管动脉粥样硬化是冠状动脉疾病的主要驱动因素,但评估和治疗方法历来依赖于动脉粥样硬化的间接标志物,包括替代指标(胆固醇)、体征(心绞痛)和动脉粥样硬化的后遗症(缺血)。动脉粥样硬化的直接量化和特征描述可能会推动精准心脏护理模式的发展,以个性化方式改善诊断、风险分层、治疗决策和疾病纵向跟踪。

观察结果

美国心脏病学会预防创新工作组推出了动脉粥样硬化治疗算法,该算法根据冠状动脉计算机断层扫描血管造影(CTA)的动脉粥样硬化结果和心血管危险因素对医疗干预进行个性化。通过整合基于冠状动脉CTA的动脉粥样硬化评估、临床实践指南和当代随机对照试验证据,动脉粥样硬化治疗算法将患者特异性动脉粥样硬化负担和进展作为治疗干预的主要目标。在通过冠状动脉CTA定义动脉粥样硬化严重程度阶段后,针对脂质紊乱、糖尿病、高血压、肥胖和吸烟患者的动脉粥样硬化恶化阶段描述了动脉粥样硬化治疗算法。作者预计该领域的研究将迅速发展,并通过提供对未来需求的展望来结束本文,这些需求可能会改善优化冠状动脉疾病精准预防的努力。重要的是,动脉粥样硬化治疗算法未得到美国心脏病学会的认可,不应被解释为美国心脏病学会政策声明。

结论与意义

我们描述了一种精准心脏护理方法,该方法强调将动脉粥样硬化作为评估和治疗的主要疾病靶点。据我们所知,这是第一个分别使用冠状动脉粥样硬化负担和进展来个性化治疗选择和治疗改变的提议。

披露

美国心脏病学会基金会已对Cleerly公司进行了投资,该公司是一家软件解决方案制造商,利用冠状动脉CT血管造影结果评估冠状动脉疾病。

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