Selected Works of Cynthia Sanoski
Multicenter treat-to-treat cost-effectiveness evaluation of HMG-CoA reductase inhibitor monotherapy
B. Daniel Lucas, Jr., CAMC Health Education and Research Institute, Charleston, WV; Cynthia A. Sanoski, Thomas Jefferson University; Matthew K. Ito, University of the Pacific; Martha A. Aldrige, University of the Pacific; Judy W.M. Cheng, Long Island University; and Daniel E. Hilleman, Creighton University
DATE: January 2002
SOURCE: The Journal of Applied Research, vol. 2, issue 2, pp. 97-113
RELATED URL: http://jrnlappliedresearch.com/articles/Vol2Iss2/Lucasspr02.htm
ABOUT THIS DOCUMENT:
This article is freely available to all Internet users at the publisher's website at the link provided.
Purpose: HMG-CoA reductase inhibitors have become the drugs of choice for hypercholesterolemia, demonstrating a favorable side effect profile, ease of administration, and reduction of cardiovascular mortality in both primary and secondary prevention trials. Use of these agents has been suboptimal, however, possibly due to their cost. The objective of this study was to evaluate the cost-effectiveness of the five commercially available HMG-CoA reductase inhibitors in a large population of hypercholesterolemic patients using a population-based treat-to-target analysis.
Methods: Cardiac risk factors (CRFs) and lipid panels were collected for drug-naive patients from five different regions of the United States. Risk stratification using CRFs was performed, and LDL-cholesterol (LDL-C) was based on national guidelines. Using meta-analysis to derive LDL-C lowering efficacy, each agent was modeled to achieve NCEP goals. Costing methodology was done using a third-party payer perspective. Drug costs were extracted from Medi-span, and clinic costs were based on CPT codes for office visits and lipid panels.
Results: Data were obtained for 5436 patients: high-risk (coronary artery disease [CAD]; n=1773), moderate-risk (no CAD and more than 2 CRFs; n=1318), and low-risk patients (no CAD and fewer than 2 CRFs; n=2345). High-risk, moderate-risk, and low-risk patients achieving LDL-C target with the primary agent, respectively, were: atorvastatin 100%, 100%, 100%; fluvastatin 4%, 74%, 100%; lovastatin 25%, 100%, 100%; pravastatin 25%, 95%, 100%; and simvastatin 89%, 100%, 100%. Yearly US dollar cost per patient to treat to goal LDL-C are shown in the table below.
Conclusions: The most cost-effective approach to treating a population with varying degrees of coronary heart disease risk is to individualize statin selection based on the expected LDL-C percentage required to achieve NCEP target. This approach would indicate that low-risk patients can be treated with fluvastatin and moderate-risk and high-risk patients with atorvastatin or fluvastatin. Notably, atorvastatin was the only agent achieving NCEP goals in patients in all risk groups.