Cardiovascular Risk Calculators: Back to Basics

P. Ting
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Abstract

Cardiovascular disease (CVD) is a leading global cause of mortality and morbidity. Risk assessment of asymptomatic individuals plays an important role in the primary prevention of CVD and its complications by guiding management decisions, in particular the decision to use statins or antiplatelet agents, as well as more controversially, the target level for risk factors such as hypertension and cholesterol. Timely and regular risk assessments also identify the development of physiological disturbances such as pre-hypertension, pre-diabetes, dyslipidaemias, clinical obesity and metabolic syndrome, which can be asymptomatic in the early stages, but may lead to increased risk for many ageing-related degenerative diseases, including CVD. These physiological mal-adaptations are remarkably responsive to behavioural lifestyle interventions at an early stage, and may be stabilised or even reversed without medications. This article describes the why and how of assessing CVD risk and a suggested framework for management, including the appropriate use of behavioural lifestyle interventions as first-line treatment. It also describes the various risk scores available, their differences and limitations and how to best use them in clinical practice. More research is required regarding the use of non-traditional and emerging markers of CVD risk such as carotid intima-media thickness, coronary artery calcium scoring, hsCRP, ankle brachial index, Apo-B, albuminuria, and how they may be incorporated into existing risk models.
心血管风险计算器:回归基础
心血管疾病(CVD)是全球主要的死亡和发病原因。无症状个体的风险评估在CVD及其并发症的一级预防中起着重要作用,通过指导管理决策,特别是决定使用他汀类药物或抗血小板药物,以及更有争议的高血压和胆固醇等危险因素的目标水平。及时和定期的风险评估还可以确定生理障碍的发展,如高血压前期、糖尿病前期、血脂异常、临床肥胖和代谢综合征,这些疾病在早期可能没有症状,但可能导致许多与衰老相关的退行性疾病(包括心血管疾病)的风险增加。这些生理上的不良适应在早期阶段对行为生活方式干预有明显的反应,并且可以在没有药物的情况下稳定甚至逆转。本文描述了评估心血管疾病风险的原因和方法,以及建议的管理框架,包括适当使用行为生活方式干预作为一线治疗。它还描述了各种可用的风险评分,它们的差异和局限性,以及如何在临床实践中最好地使用它们。关于非传统和新兴的心血管疾病风险标志物的使用,如颈动脉内膜-中膜厚度、冠状动脉钙评分、hsCRP、踝肱指数、载脂蛋白b、蛋白尿,以及如何将它们纳入现有的风险模型,还需要进行更多的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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