Mayaudon H, Dupuy O, Bordier L, Sarret D, Bauduceau B
Hôpital d'Instruction des Armées Bégin, 69, avenue de Paris, 94160 Saint Mandé.
Diabetes Metab. 2001 Feb;27(1):82-6.
Epidemiologic studies underline the responsibility of the cumulative effect of cardiovascular risk factors on mortality and morbidity. These data have let to the elaboration of equations predicting the risk of coronary heart disease. This probability, which defines the absolute cardiovascular risk, can be assessed using Framingham formula, Laurier-Chau's risk table, derived from the Framingham model, Ducimetière and PROCAM study' prediction models. The main interest of these equations is to give the cumulative effect of risk factors. They can be used to evaluate the advantages of primary prevention. Equations do not take into account several factors, such as body mass index, fibrinogene and lipoprotein (a) values, which have an influence on cardiovascular mortality while others are studied in their qualitative aspects (smoking status, diabetes). Furthermore, equations are not applicable to the whole population. The absolute cardiovascular is a useful tool from an epidemiologic and individual standpoint, but the limits of the different models must be known.
流行病学研究强调了心血管危险因素的累积效应在死亡率和发病率方面的责任。这些数据促成了预测冠心病风险的方程式的制定。这种定义绝对心血管风险的概率，可以使用弗明汉公式、源自弗明汉模型的洛里耶 - 肖风险表、迪西米埃和PROCAM研究的预测模型来评估。这些方程式的主要意义在于给出危险因素的累积效应。它们可用于评估一级预防的益处。方程式没有考虑几个因素，如体重指数、纤维蛋白原和脂蛋白(a)值，这些因素对心血管死亡率有影响，而其他一些因素仅在定性方面进行了研究(吸烟状况、糖尿病)。此外，方程式并不适用于整个人口。绝对心血管风险从流行病学和个体角度来看是一个有用的工具，但必须了解不同模型的局限性。
