冠心病一级和二级预防的定量风险分层模型

Jia Wei, Qiang Yang, Lin Lin, Canzhan Zhu, Jin Wei
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魏佳#,杨强#,林琳,朱灿展,魏晋*西安交通大学医学院第二附属医院心内科,陕西西安*通讯:weijin@mail.xjtu.edu.cn;电话:+86 13572140118 #贾伟和杨强对稿件有同等贡献。摘要:冠心病(冠心病)是全球最常见的非传染性疾病,具有较高的发病率、死亡率和医疗成本。因此,早期准确的危险分层是冠心病发现、诊断和治疗的重要问题。在世界范围内,有许多涉及心血管疾病冠心病危险因素的主要筛查工具和风险评分,如Framingham风险评分、世界卫生组织/国际高血压和心血管疾病学会(CVD)风险预测图(RiskWHO)、美国心脏病学会/美国心脏协会(ACC/AHA)合并队列方程(RiskACC/AHA)、ADAPT心脏事件风险协议。这些模型基于冠心病危险因素计算冠心病风险,包括年龄、性别、高血压和糖尿病。本文将对冠心病的危险分层模型及相关临床证据进行综述。本文还将对当前的风险分层模型进行深入分析,并对未来风险分层模型的发展提出一些建议。
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Quantitative Risk Stratification Models for Coronary Heart Disease in Primary and Secondary Prevention
Review Quantitative Risk Stratification Models for Coronary Heart Disease in Primary and Secondary Prevention Wei Jia#, Yang Qiang #, lin Lin , Canzhan Zhu , and Wei Jin * Department of Cardiology, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, China. * Correspondence: weijin@mail.xjtu.edu.cn;Tel: +86 13572140118 # Jia Wei and Qiang Yang are equally contributed to the manuscript. Received: 30 April 2023 Accepted: 13 June 2023 Abstract: Coronary heart disease (CHD) is the most prevalent non-communicable disease globally and has high morbidity, mortality and healthcare cost. Thus early and precise risk stratification is an important issue in the detection, diagnosis and therapy for CHD. There are a number of primary screening tools and risk scores involving CHD risk factors for cardiovascular disease worldwide, such as Framingham Risk Score, World Health Organization/International Society of Hypertension and Cardiovascular disease (CVD) risk prediction charts (RiskWHO), American College of Cardiology/American Heart Association (ACC/AHA) pooled cohort equations (RiskACC/AHA), ADAPT Protocol for Cardiac Event Risk. Those models calculate CHD risk based on CHD risk factors, including age, gender, hypertension, and diabetes mellitus. This review will summarize the risk stratification models of CHD and related clinical evidence. It will also include a thorough analysis of the current risk stratification models and offer some advice for future risk stratification model development.
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