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Cost-effectiveness of using electron beam computed tomography to identify patients at risk for clinical coronary artery disease - 26/08/11

Doi : 10.1016/j.ahj.2004.01.018 
Patrick G O'Malley, MD, MPH a, b, , Bruce A Greenberg, MD, MBA a, Allen J Taylor, MD a, b
a Department of Medicine, Walter Reed Army Medical Center, Washington, DC, USA 
b Uniformed Services University of the Health Sciences, Bethesda, Md, USA 

*Reprint requests: Patrick G. O'Malley, MD, MPH, Associate Professor of Medicine, Uniformed Services University, Division of General Internal Medicine, Walter Reed Army Medical Center, Washington, DC 20307, USA.

Abstract

Background

The use of electron beam computed tomography (EBCT) to screen for coronary artery calcification (CAC) has been widely promulgated, although the cost effectiveness of this practice is unknown.

Methods

We constructed a decision tree to determine the marginal cost per additional patient who was “at risk” (>10% 10-year risk of coronary heart disease) identified with the addition of EBCT to the Framingham Risk Index (FRI) in a screening population with no cardiac symptoms. We also determined the marginal cost per quality adjusted life year (QALY) saved, assuming a 30% improvement in life expectancy associated with primary prevention. A consecutive screening cohort of 39- to 45-year-old men and women was used for demographic and risk factor data. Estimates of the relevant input costs were made on the basis of published literature when available.

Results

Compared with using FRI alone, the strategy of incorporating EBCT detects patients who are “at risk” at a cost of $9789/additional case and a marginal cost of $86,752/QALY. The marginal cost per QALY is highly sensitive to the gain in life expectancy from early intervention ($10,000–1,700,000/QALY for a relative risk reduction in mortality of 50% or 25%, respectively), the utility of being “at risk” ($18,000/QALY to dominated for a utility of 1.0–<0.98, similar to other asymptomatic chronic illnesses), and the added prognostic value of EBCT ($60,000/QALY to dominated in a wide range).

Conclusion

The use of EBCT to improve cardiovascular risk prediction in a population with no cardiac symptoms who are at low absolute risk is expensive, even using favorable assumptions. If the utility of being “at risk” is comparable with other asymptomatic disease states, EBCT may in aggregate have a detrimental effect on the quality of life of screening populations.

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 The views expressed here are those of the authors only, and are not to be construed as those of the Department of the Army or Department of Defense.


© 2004  Elsevier Inc. Tutti i diritti riservati.
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Vol 148 - N° 1

P. 106-113 - luglio 2004 Ritorno al numero
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