Effectiveness and Cost-Effectiveness of Sequential Treatment of Patients with Chronic Myeloid Leukemia in the United States: A Decision Analysis

Author:

Rochau Ursula12,Kluibenschaedl Martina1,Stenehjem David34,Kuan-Ling Kuo3,Radich Jerald5,Oderda Gary3,Brixner Diana1236,Siebert Uwe1278

Affiliation:

1. Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard Wallnoefer Center 1, 6060 Hall in Tirol, Austria

2. Area Health Technology Assessment, ONCOTYROL-Center for Personalized Cancer Medicine, Karl-Kapferer-Straße 5, 6020 Innsbruck, Austria

3. Department of Pharmacotherapy, University of Utah, 30 South 2000, Salt Lake City, UT 84112, USA

4. Huntsman Cancer Institute, University of Utah Hospitals & Clinics, 2000 Circle of Hope, Salt Lake City, UT 84112, USA

5. Clinical Research Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N, Seattle, WA 98104, USA

6. Program in Personalized Health, University of Utah, 15 North 2030 East, Room 2110, Salt Lake City, UT 84112, USA

7. Center for Health Decision Science, Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, 718 Huntington Avenue, Boston, MA 02215, USA

8. Institute for Technology Assessment, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 101 Merrimac Street, Boston, MA 02114, USA

Abstract

Currently several tyrosine kinase inhibitors (TKIs) are approved for treatment of chronic myeloid leukemia (CML). Our goal was to identify the optimal sequential treatment strategy in terms of effectiveness and cost-effectiveness for CML patients within the US health care context. We evaluated 18 treatment strategies regarding survival, quality-adjusted survival, and costs. For model parameters, the literature data, expert surveys, registry data, and economic databases were used. Evaluated strategies included imatinib, dasatinib, nilotinib, bosutinib, ponatinib, stem-cell transplantation (SCT), and chemotherapy. We developed a Markov state-transition model, which was analyzed as a cohort simulation over a lifelong time horizon with a third-party payer perspective and discount rate of 3%. Remaining life expectancies ranged from 5.4 years (3.9 quality-adjusted life years (QALYs)) for chemotherapy treatment without TKI to 14.4 years (11.1 QALYs) for nilotinibdasatinibchemotherapy/SCT. In the economic evaluation, imatinibchemotherapy/SCT resulted in an incremental cost-utility ratio (ICUR) of $171,700/QALY compared to chemotherapy without TKI. Imatinibnilotinibchemotherapy/SCT yielded an ICUR of $253,500/QALY compared to imatinibchemotherapy/SCT. Nilotinibdasatinibchemotherapy/SCT yielded an ICUR of $445,100/QALY compared to imatinibnilotinibchemotherapy/SCT. All remaining strategies were excluded due to dominance of the clinically superior strategies. Based on our analysis and current treatment guidelines, imatinibnilotinibchemotherapy/SCT and nilotinibdasatinibchemotherapy/SCT can be considered cost-effective for patients with CML, depending on willingness-to-pay.

Funder

Bundesministerium für Verkehr, Innovation und Technologie

Publisher

Hindawi Limited

Subject

Oncology,Hematology

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