Original Research
1 January 2019

Cost-Effectiveness of Alirocumab: A Just-in-Time Analysis Based on the ODYSSEY Outcomes Trial

Publication: Annals of Internal Medicine
Volume 170, Number 4

Abstract

Background:

The ODYSSEY Outcomes (Evaluation of Cardiovascular Outcomes After an Acute Coronary Syndrome During Treatment With Alirocumab) trial included participants with a recent acute coronary syndrome. Compared with participants receiving statins alone, those receiving a statin plus alirocumab had lower rates of a composite outcome including myocardial infarction (MI), stroke, and death.

Objective:

To determine the cost-effectiveness of alirocumab in these circumstances.

Design:

Decision analysis using the Cardiovascular Disease Policy Model.

Data Sources:

Data sources representative of the United States combined with data from the ODYSSEY Outcomes trial.

Target Population:

U.S. adults with a recent first MI and a baseline low-density lipoprotein cholesterol level of 1.81 mmol/L (70 mg/dL) or greater.

Time Horizon:

Lifetime.

Perspective:

U.S. health system.

Intervention:

Alirocumab or ezetimibe added to statin therapy.

Outcome Measures:

Incremental cost-effectiveness ratio in 2018 U.S. dollars per quality-adjusted life-year (QALY) gained.

Results of Base-Case Analysis:

Compared with a statin alone, the addition of ezetimibe cost $81 000 (95% uncertainty interval [UI], $51 000 to $215 000) per QALY. Compared with a statin alone, the addition of alirocumab cost $308 000 (UI, $197 000 to $678 000) per QALY. Compared with the combination of statin and ezetimibe, replacing ezetimibe with alirocumab cost $997 000 (UI, $254 000 to dominated) per QALY.

Results of Sensitivity Analysis:

The price of alirocumab would have to decrease from its original cost of $14 560 to $1974 annually to be cost-effective relative to ezetimibe.

Limitation:

Effectiveness estimates were based on a single randomized trial with a median follow-up of 2.8 years and should not be extrapolated to patients with stable coronary heart disease.

Conclusion:

The price of alirocumab would have to be reduced considerably to be cost-effective. Because substantial reductions already have occurred, we believe that timely, independent cost-effectiveness analyses can inform clinical and policy discussions of new drugs as they enter the market.

Primary Funding Source:

University of California, San Francisco, and Institute for Clinical and Economic Review.

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Supplemental Material

Supplement. Supplementary Material

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David U. Himmelstein, M.D., FACP 22 March 2019
Time to update the $100,000 threshold for cost effectiveness
In their cost-effectiveness analysis of Alirocumab, Kazi et al (1) cite "a conventional willingness-to-pay threshold of $100,000 per QUALY." That's the same threshold that cost effectiveness analysts (including the author of the editorial accompanying the article) have cited for at least 24 years (2). Since then, the per capita GDP in the US has doubled, and health costs have risen four-fold. Why hasn't the threshold changed?

1- Kazi DS, Penko J, Coxson PG, Guzman D, Wei PC, Bibbins-Domingo K. Cost-Effectiveness of Alirocumab: A Just-in-Time Analysis Based on the ODYSSEY Outcomes Trial. Ann Intern Med 2019;170:221-229.
2- Mark DB, Hlatky MA, Califf RM, Naylor CD, Lee KL, Armstrong PW, Barbash G, White H, Simoons ML, Nelson CL, Clapp-Channing N. Cost effectiveness of thrombolytic therapy with tissue plasminogen activator as compared with streptokinase for acute myocardial infarction. New England journal of medicine. 1995 May 25;332(21):1418-24.
Dhruv S. Kazi, MD, MSc, MS, Kirsten Bibbins-Domingo, PhD, MD, MAS 15 April 2019
Authors' Response
We appreciate Dr. Himmelstein’s comment, which draws attention to a key unanswered question in US-based cost-effectiveness analyses: How much is the US health system willing to pay for one incremental quality-adjusted life year (QALY)? Several high-income countries formally incorporate cost-effectiveness analyses into the approval process for new drugs and have explicit cost-effectiveness thresholds, but the US does not. In fact, the US Congress has legislatively forbidden the Patient-Centered Outcomes Research Institute from adopting a cost-effectiveness threshold while evaluating a drug or device.1 The widely held belief that the US’s willingness-to-pay threshold is based on Medicare’s annual cost of a patient undergoing dialysis is apocryphal.

To provide researchers and policy-makers some guidance on this thorny issue, the American Heart Association and American College of Cardiology have defined high-value interventions as those with an incremental cost-effectiveness ratio (ICER) of less than 50,000/QALY and low-value interventions as those with an ICER of 150,000 per QALY or higher.2 These values were adapted from the World Health Organization’s Choosing Interventions that are Cost-Effective (WHO CHOICE) project, which classifies interventions into three categories of cost-effectiveness: highly cost-effective, with an ICER < gross domestic product (GDP) per capita; cost-effective, with an ICER between 1 and 3 times GDP per capita; and not cost-effective, with an ICER >3 times GDP per capita. Since the US per capita GDP is approximately $60,000, the WHO CHOICE framework would suggest that interventions between $60,000 and $180,000 per QALY would be cost-effective in the US. However, this GDP-based framework is fraught with its own theoretical and practical limitations,3 and unanswered questions include whether this threshold should vary based on the number of people eligible for the intervention. For instance, would we be willing to pay more for a new treatment that benefits a thousand patients with a rare disease than one for 10 million US adults at risk of major cardiovascular events?

We chose the $100,000 per QALY for our base-case analysis as it is the approximate mid-point of the ranges recommended by the organizations above.4 In line with the recommendations of the Second Panel of Cost Effectiveness in Health and Medicine, we presented additional analyses using the $50,000 per QALY and $150,000 per QALY thresholds in the online Supplement (Appendix Table 5).4,5

Identifying an explicit willingness-to-pay threshold would require our society to have a thoughtful conversation about the trade-offs of increasing or reducing the amount of money we spend on health care, and, by extension, a national consensus on how much we value health relative to other societal priorities. More importantly, we would have to be willing to forego interventions that do not meet our pre-determined threshold of cost-effectiveness. Although we do not appear to have the political appetite for this difficult conversation at the present time, clarifying our priorities in a time of economic uncertainty would enhance our health system’s ability to efficiently – and possibly equitably – allocate resources to improve the health of our population.

Dhruv S. Kazi, MD, MSc, MS
Beth Israel Deaconess Medical Center, Boston, MA

Kirsten Bibbins-Domingo, PhD, MD, MAS
University of California San Francisco, San Francisco, CA



References
1. PCORI Help Center. What Is PCORI’s Official Policy On Cost And Cost-Effectiveness Analysis? Patient-Centered Outcomes Research Institute.Available at https://help.pcori.org/hc/en-us/articles/213716587-What-is-PCORI-s-official-policy-on-cost-and-cost-effectiveness-analysis- . Accessed March 29, 2019.

2. Anderson JL, Heidenreich PA, Barnett PG, Creager MA, Fonarow GC, Gibbons RJ, Halperin JL, Hlatky MA, Jacobs AK, Mark DB, Masoudi FA, Peterson ED, Shaw LJ. ACC/AHA statement on cost/value methodology in clinical practice guidelines and performance measures: a report of the American College of Cardiology/American Heart Association Task Force on Performance Measures and Task Force on Practice Guidelines. J Am Coll Cardiol 2014;63: 2304–22.

3. Marseille, Elliot, Larson, Bruce, Kazi, Dhruv S, Kahn, James G & Rosen, Sydney. (‎2015)‎. Thresholds for the cost–effectiveness of interventions: alternative approaches. Bulletin of the World Health Organization, 93 (‎2)‎, 118 - 124. World Health Organization.

4. Cost-Effectiveness of Alirocumab: A Just-in-Time Analysis Based on the ODYSSEY Outcomes Trial. Kazi DS, Penko J, Coxson PG, Guzman D, Wei PC, Bibbins-Domingo K. Ann Intern Med. 2019 Jan 1. doi: 10.7326/M18-1776.

5. Sanders GD, Neumann PJ, Basu A, Brock DW, Feeny D, Krahn M, Kuntz KM, Meltzer DO, Owens DK, Prosser LA, Salomon JA, Sculpher MJ, Trikalinos TA, Russell LB, Siegel KE, Ganiats TG. Recommendations for Conduct, Methodological Practices, and Reporting of Cost-effectiveness Analyses. Second Panel on Cost-Effectiveness in Health and Medicine. JAMA. 2016;316(10):1093-1103. doi:10.1001/jama.2016.12195

Information & Authors

Information

Published In

cover image Annals of Internal Medicine
Annals of Internal Medicine
Volume 170Number 419 February 2019
Pages: 221 - 229

History

Published online: 1 January 2019
Published in issue: 19 February 2019

Keywords

Authors

Affiliations

Dhruv S. Kazi, MD, MSc, MS
Beth Israel Deaconess Medical Center, Boston, Massachusetts (D.S.K.)
Joanne Penko, MS, MPH
University of California, San Francisco, San Francisco, California (J.P., P.G.C., D.G., P.C.W., K.B.)
Pamela G. Coxson, PhD
University of California, San Francisco, San Francisco, California (J.P., P.G.C., D.G., P.C.W., K.B.)
David Guzman, MSPH
University of California, San Francisco, San Francisco, California (J.P., P.G.C., D.G., P.C.W., K.B.)
Pengxiao C. Wei, BS, MPH
University of California, San Francisco, San Francisco, California (J.P., P.G.C., D.G., P.C.W., K.B.)
Kirsten Bibbins-Domingo, PhD, MD, MAS
University of California, San Francisco, San Francisco, California (J.P., P.G.C., D.G., P.C.W., K.B.)
Disclaimer: The Framingham Cohort and Framingham Offspring Research Materials were obtained from the U.S. National Heart, Lung, and Blood Institute (NHLBI) Biologic Specimen and Data Repository Information Coordinating Center. The manuscript does not necessarily reflect the opinions or views of the Framingham Cohort, Framingham Offspring, or NHLBI.
Financial Support: By the University of California, San Francisco, and the Institute for Clinical and Economic Review.
Disclosures: Drs. Kazi and Coxson and Ms. Penko report grants from the Institute for Clinical and Economic Review during the conduct of the study. Authors not named here have disclosed no conflicts of interest. Disclosures can also be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M18-1776.
Editors' Disclosures: Christine Laine, MD, MPH, Editor in Chief, reports that her spouse has stock options/holdings with Targeted Diagnostics and Therapeutics. Darren B. Taichman, MD, PhD, Executive Editor, reports that he has no financial relationships or interests to disclose. Cynthia D. Mulrow, MD, MSc, Senior Deputy Editor, reports that she has no relationships or interests to disclose. Deborah Cotton, MD, MPH, Deputy Editor, reports that she has no financial relationships or interest to disclose. Jaya K. Rao, MD, MHS, Deputy Editor, reports that she has stock holdings/options in Eli Lilly and Pfizer. Sankey V. Williams, MD, Deputy Editor, reports that he has no financial relationships or interests to disclose. Catharine B. Stack, PhD, MS, Deputy Editor for Statistics, reports that she has stock holdings in Proctor & Gamble, Pfizer, and Johnson & Johnson.
Reproducible Research Statement: Study protocol: Not available. Statistical code: The Cardiovascular Disease Policy Model is available to interested readers who submit a 1- to 2-page research proposal and collaboration plan to Dr. Bibbins-Domingo (e-mail, [email protected]) and sign the Creative Commons agreement available at http://tiny.ucsf.edu/CVDpolicymodel, pending approval by the model team. Data set: Data for this study come from sources detailed in the Supplement. Data from the Framingham Heart Study are available following approval of research applications submitted at http://biolincc.nhlbi.nih.gov/studies/framcohort/?q=framingham for the Framingham Heart Study cohort and http://biolincc.nhlbi.nih.gov/studies/framoffspring/?q=framingham for the Framingham Offspring Study. Data on the health survey, vital statistics, and health care costs are publicly available from government sources described in the Supplement.
Corresponding Author: Kirsten Bibbins-Domingo, PhD, MD, MAS, Department of Epidemiology and Biostatistics, University of California, San Francisco, 55 016th Street, 2nd Floor, Box 0560, San Francisco, CA 94143; e-mail, [email protected].
Current Author Addresses: Dr. Kazi: Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, 375 Longwood Avenue, 4th Floor, Boston, MA 02215.
Ms. Penko, Drs. Coxson and Bibbins-Domingo, and Ms. Wei: Department of Epidemiology and Biostatistics, University of California, San Francisco, 55 016th Street, 2nd Floor, Box 0560, San Francisco, CA 94143.
Mr. Guzman: UCSF Center for Vulnerable Populations, 1001 Potrero Avenue, Building 10, W13, UCSF-ZSFGH Box 1364, San Francisco, CA 94110.
Author Contributions: Conception and design: D.S. Kazi, J. Penko, K. Bibbins-Domingo.
Analysis and interpretation of the data: D.S. Kazi, J. Penko, P.G. Coxson, D. Guzman, P.C. Wei, K. Bibbins-Domingo.
Drafting of the article: D.S. Kazi, K. Bibbins-Domingo.
Critical revision for important intellectual content: D.S. Kazi, J. Penko, K. Bibbins-Domingo.
Final approval of the article: D.S. Kazi, J. Penko, P.G. Coxson, D. Guzman, P.C. Wei, K. Bibbins-Domingo.
Provision of study materials or patients: D.S. Kazi, K. Bibbins-Domingo.
Statistical expertise: D.S. Kazi, K. Bibbins-Domingo.
Obtaining of funding: D.S. Kazi, K. Bibbins-Domingo.
Administrative, technical, or logistic support: J. Penko, P.C. Wei, K. Bibbins-Domingo.
Collection and assembly of data: D.S. Kazi, P.G. Coxson, K. Bibbins-Domingo.
This article was published at Annals.org on 1 January 2019.

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Dhruv S. Kazi, Joanne Penko, Pamela G. Coxson, et al. Cost-Effectiveness of Alirocumab: A Just-in-Time Analysis Based on the ODYSSEY Outcomes Trial. Ann Intern Med.2019;170:221-229. [Epub 1 January 2019]. doi:10.7326/M18-1776

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