Grover S A, Coupal L
Centre for the Analysis of Cost-Effective Care, Montreal General Hospital, Quebec, Canada.
Drug Saf. 1994 Apr;10(4):301-9. doi: 10.2165/00002018-199410040-00004.
Risk factor modification to prevent the development of coronary heart disease (CHD) is a rapidly growing concern of physicians interested in disease prevention. Drug treatments to reduce hypertension and hyperlipidaemia are 2 important interventions for CHD primary prevention. The benefits of these interventions have been demonstrated in short term clinical trials by reducing the incidence of stroke and coronary events. While the short term benefits may appear modest, the long term changes in life expectancy and disease morbidity may be substantial for carefully targeted groups of patients. Computer models are therefore increasingly being used to estimate the long term benefits of risk factor modification among selected patients. A review of published CHD models demonstrates that predictions among the different models are usually consistent. Moreover, the results of randomised clinical trials can be accurately forecasted using the CHD Primary Prevention Model.
通过改变风险因素来预防冠心病(CHD)的发生,正迅速成为关注疾病预防的医生们日益关注的问题。降低高血压和高脂血症的药物治疗是冠心病一级预防的两项重要干预措施。这些干预措施的益处已在短期临床试验中得到证实,可降低中风和冠心病事件的发生率。虽然短期益处可能看似不大,但对于精心挑选的患者群体而言,预期寿命和疾病发病率的长期变化可能相当可观。因此,计算机模型越来越多地被用于估计特定患者群体中改变风险因素的长期益处。对已发表的冠心病模型的综述表明,不同模型之间的预测通常是一致的。此外,使用冠心病一级预防模型可以准确预测随机临床试验的结果。