- Silvia Ulrich, visiting research fellowa,
- Aroon D Hingorani, British Heart Foundation Gerry Turner fellowa,
- John Martin, professorb,
- Patrick Vallance, professor (patrick.vallance@ucl.ac.uk)a
- a Centre for Clinical Pharmacology and Therapeutics, University College, London WC1 6JJ
- b Centre for Cardiovascular Biology and Medicine, University College London
- Correspondence to: P Vallance
- Accepted 13 January 2000
Coronary heart disease is the major cause of morbidity and mortality in industrialised countries. The Framingham cohort study has identified the quantitative impact of different risk factors and their interactions,1–3 and large intervention studies have confirmed that drug treatment to reduce risk factors decreases progression to heart attack and stroke.4 5 However, with this increased understanding have come additional problems. The treatments to reduce cholesterol concentrations or blood pressure are often expensive, and the population that might benefit is vast. Indeed if every individual who might benefit was treated with a statin or fibrate, a large portion of the total drugs budget would be consumed.6 Thus some form of rationing is inevitable, and various recommendations have emerged in an attempt to contain cost while targeting treatment at those who stand to gain the most. Current UK policy recommends treatment should be offered to anyone with an absolute annual risk of 3% or more.7 Others, however, favour a 1.5%-2% absolute threshold before beginning treatment, 8 9 and some have argued that estimates of relative risk should form the basis for treatment guidelines.10 Since age is the major determinant of absolute risk, treatment thresholds based on absolute risk will tend to postpone treatment to older age, whereas guidelines based on relative risk will tend to lead to treatment of younger people.
Summary points
Lipid lowering drugs are expensive and the population that might benefit from treatment is potentially vast
Current guidelines recommend targeting treatment to those who will gain the most; gain being cardiovascular events avoided over a fixed period of 5 or 10 years
Modeling of lifetime risk of cardiovascular disease suggests that many individuals will have accumulated most of their risk before they become eligible for treatment
It is possible to predict an age at …
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