Scheltens Tjarda, Verschuren W M Monique, Boshuizen Hendriek C, Hoes Arno W, Zuithoff Nicolaas P, Bots Michiel L, Grobbee Diederick E
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Eur J Cardiovasc Prev Rehabil. 2008 Oct;15(5):562-6. doi: 10.1097/HJR.0b013e3283063a65.
The Framingham Heart Study risk model has been used in the majority of cardiovascular risk management guidelines. Recently, a new model based on the SCORE system has been proposed. We compared both risk models with regard to their ability to predict cardiovascular mortality in the Netherlands.
Cohort study.
In a Dutch cohort study of 39 719 persons, three properties of the risk models were investigated: discriminating ability (ranking persons in order of risks, expressed in area under the curve); calibrating ability (prediction of events compared with actual events expressed in goodness of fit); and the number of persons assigned to treatment according to the guideline.
The discriminative ability of both models was similar: the area under the curve of Framingham was 0.86 and of SCORE 0.85. Calibration of both functions was inadequate. The goodness of fit of the SCORE model was 35 and of the Framingham model 64, whereas a goodness of fit less than 20 is considered acceptable. Using the Dutch guideline treatment threshold of 10% mortality risk, the SCORE risk function assigned 0.4% of the population to drug treatment where the Framingham function assigned 0.7%.
The findings of this study show that both the SCORE and the Framingham model function have a good discriminative ability but are insufficient in predicting absolute risks. SCORE assigned fewer participants to treatment than Framingham. If a new risk model is implemented in treatment guidelines, comparison with the model in use and evaluation of calibrating features is needed.
弗雷明汉心脏研究风险模型已被大多数心血管风险管理指南所采用。最近,一种基于SCORE系统的新模型被提出。我们比较了这两种风险模型在预测荷兰心血管死亡率方面的能力。
队列研究。
在一项对39719名荷兰人的队列研究中,研究了风险模型的三个特性:区分能力(按风险顺序对人群进行排序,用曲线下面积表示);校准能力(将事件预测与实际事件进行比较,用拟合优度表示);以及根据指南分配接受治疗的人数。
两种模型的区分能力相似:弗雷明汉模型的曲线下面积为0.86,SCORE模型为0.85。两种模型的校准都不充分。SCORE模型的拟合优度为35,弗雷明汉模型为64,而拟合优度小于20被认为是可接受的。使用荷兰指南中10%的死亡风险治疗阈值,SCORE风险函数将0.4%的人群分配接受药物治疗,而弗雷明汉函数分配的比例为0.7%。
本研究结果表明,SCORE模型和弗雷明汉模型都具有良好的区分能力,但在预测绝对风险方面存在不足。SCORE分配接受治疗的参与者比弗雷明汉模型少。如果在治疗指南中实施新的风险模型,则需要与现行模型进行比较并评估校准特征。