首页> 外文期刊>Clinical Chemistry: Journal of the American Association for Clinical Chemists >Thirty-Year Multivariate Risk Assessment Is a Stronger Predictor of Cardiovascular Disease than the 10-Year Model
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Thirty-Year Multivariate Risk Assessment Is a Stronger Predictor of Cardiovascular Disease than the 10-Year Model

机译:30年多元风险评估比10年模型更能预测心血管疾病

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Identifying individuals at risk for developing coronary heart disease (CHD)1 is fundamental to the practice of primary prevention in modern cardiology because it enables clinicians to determine which patients are eligible to receive evidence-based therapies that can prevent or delay the progression of atherosclerotic disease. Several multivariable risk-prediction algorithms are available, and the most widely used in the US is the Framingham cardiovascular disease (CVD) risk profile, from which the Framingham Risk Score (FRS) is derived.The FRS estimates an individual’s risk of developing nonfatal myocardial infarction or CHD-related death (“hard events”) over a 10-year period, on the basis of what are now considered to be the traditional risk factors of age, total cholesterol concentrations, HDL cholesterol, systolic blood pressure, and cigarette smoking status; the equations are sex specific. Individuals are then stratified into low risk (10% risk over 10 years), intermediate risk (10% to 20% risk over 10 years), or high -risk (20% risk over 10 years) based on their score (1), and this risk score then guides a clinician’s decision to institute antiplatelet or lipid-lowering therapy or advise intensive lifestyle modification. Several multivariate risk assessment algorithms in addition to the FRS have since been proposed and validated in diverse populations to estimate risk for a period of less than 10 years.The FRS has been critiqued for its relatively limited view of only a10-year timeframe, because an individual’s lifetime risk of CHD may be high, but a 10-year risk prediction model sometimes underestimates this risk and can delay efforts to modify that risk. A greater duration of exposure to untreated risk factors allows for continued progression of subclinical atherosclerosis. Examination of the Framingham cohort showed that despite younger individuals in lower risk groups having a very low 10-year CHD …
机译:识别有发展为冠心病(CHD)风险的个体是现代心脏病学一级预防实践的基础,因为它使临床医生能够确定哪些患者有资格接受循证疗法,以预防或延缓动脉粥样硬化疾病的进展。有几种多变量风险预测算法可供使用,在美国使用最广泛的算法是弗雷明汉心血管疾病(CVD)风险概况,从中可以得出弗雷明汉风险评分(FRS).FRS可以估算个人发展为非致命性心肌病的风险。根据现在被认为是年龄,总胆固醇浓度,HDL胆固醇,收缩压和吸烟的传统危险因素,在10年期间内发生梗塞或冠心病相关的死亡(“硬事件”)状态;这些方程式是针对性别的。然后根据得分将个人分为低风险(10年内<10%的风险),中度风险(10年内10%到20%的风险)或高风险(10年内> 20%的风险) ),然后此风险评分将指导临床医生决定采取抗血小板或降脂治疗或建议进行严格的生活方式改变。此后,除了FRS之外,还提出了多种多元风险评估算法,并在不同的人群中进行了验证,以估计不到10年的风险。FRS因其对10年时间框架的相对有限的观点而受到批评,因为个人一生中冠心病的风险可能很高,但是10年的风险预测模型有时会低估此风险,并可能会延迟修改该风险的工作。暴露于未经治疗的危险因素的持续时间更长,可以使亚临床动脉粥样硬化持续发展。对弗雷明汉(Framingham)队列的检查显示,尽管低风险人群中的年轻人的十年CHD极低...

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