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首页> 外文期刊>BMC Medical Informatics and Decision Making >Construction of an odds model of coronary heart disease using published information: the Cardiovascular Health Improvement Model (CHIME)
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Construction of an odds model of coronary heart disease using published information: the Cardiovascular Health Improvement Model (CHIME)

机译：使用已发布的信息构建冠心病赔率模型：心血管健康改善模型（CHIME）

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Background There is a need for a new cardiovascular disease model that includes a wider range of relevant risk factors, in particular lifestyle factors, to aid targeting of interventions and improve population models of the impact of cardiovascular disease and preventive strategies. The model needs to be applicable to a wider population including different ethnic groups, different countries and to those with and without cardiovascular disease. This paper describes the construction of the Cardiovascular Health Improvement Model that aims to meet these requirements. Method An odds model is used. Information was taken from 2003 mortality statistics for England and Wales, the Health Survey for England 2003 and published data on relative risk in those with and without CVD and mean blood pressure values in hypertensives. The odds ratios used were taken from the INTERHEART study. Results A worked example is given calculating the 10-year coronary heart disease risk for a 57 year-old non-diabetic male with no personal or family history of cardiovascular disease, who smokes 30 cigarettes a day and has a systolic blood pressure of 137 mmHg, a total cholesterol (TC) of 6.2 mmol/l, a high density lipoprotein (HDL) of 1.3 mol/l, and a body mass index of 21. He neither drinks regularly nor exercises. He can give no reliable information about his mental health or fruit and vegetable intake. His 10-year risk of CHD death is 2.47%. Conclusion This paper demonstrates a method for developing a CHD risk model. Further improvements could be made to the model with additional information. The method is applicable to other causes of death.
机译：背景技术需要一种新的心血管疾病模型，其包括更广泛的相关危险因素，尤其是生活方式因素，以帮助确定干预措施并改善心血管疾病影响和预防策略的人群模型。该模型必须适用于更广泛的人群，包括不同种族，不同国家以及有无心血管疾病的人群。本文描述了旨在满足这些要求的心血管健康改善模型。方法使用赔率模型。信息取自2003年英格兰和威尔士的死亡率统计数据，2003年英格兰的健康状况调查，并发布了有关患有和不患有CVD的人群的相对风险以及高血压的平均血压值的数据。使用的比值比取自INTERHEART研究。结果给出了一个工作实例，计算了一位无心血管疾病的个人或家族病史的57岁非糖尿病男性的10年冠心病风险，该男性每天抽烟30支，收缩压为137 mmHg ，总胆固醇（TC）为6.2 mmol / l，高密度脂蛋白（HDL）为1.3 mol / l和体重指数为21。他既不定期喝酒也不运动。他无法提供有关其心理健康或水果和蔬菜摄入量的可靠信息。他患有冠心病死亡的10年风险是2.47％。结论本文演示了一种开发冠心病风险模型的方法。可以使用附加信息对模型进行进一步的改进。该方法适用于其他死亡原因。

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