Weir Matthew R, Townsend Raymond
Division of Nephrology, Department of Medicine, University of Maryland, School of Medicine, Baltimore, Maryland, USA.
J Am Soc Hypertens. 2009 Jul-Aug;3(4):277-85. doi: 10.1016/j.jash.2008.05.008.
Objective measures of cardiovascular disease (CVD) are often lacking until patients develop clinical symptomatology associated with either coronary, cerebral, or peripheral vascular disease. Estimating risk for CVD is often based on classic Framingham Heart Study criteria such as age, gender, blood pressure (BP), cholesterol, glucose levels, and family history. Moreover, there is a well-described continuous relationship between BP,cholesterol, and glucose and risk for cardiovascular events. Estimating glomerular filtration rate equations using simple formulae and screening quantitatively for albuminuria may provide an important opportunity for identifying patients at increased risk for cardiovascular events. These safe, simple, and cost-effective measures of estimating CVD risk can be used to gauge the adequacy of response to cardiovascular risk-reducing therapies.
在患者出现与冠状动脉、脑血管或外周血管疾病相关的临床症状之前，通常缺乏心血管疾病（CVD）的客观测量方法。估计CVD风险通常基于经典的弗明汉心脏研究标准，如年龄、性别、血压（BP）、胆固醇、血糖水平和家族史。此外，血压、胆固醇和血糖与心血管事件风险之间存在着明确的连续关系。使用简单公式估算肾小球滤过率方程并定量筛查蛋白尿，可能为识别心血管事件风险增加的患者提供重要机会。这些安全、简单且具有成本效益的CVD风险评估措施可用于衡量心血管风险降低治疗的反应是否充分。
