Lih-Wen Mau1,2, Jaime M Preussler1,2, Linda J Burns1,2, Susan Leppke1, Navneet S Majhail3, Christa L Meyer1,2, Tatenda Mupfudze1,2, Wael Saber4, Patricia Steinert4, David J Vanness5. 1. National Marrow Donor Program/Be The Match, Minneapolis, MN, USA. 2. Center for International Blood and Marrow Transplant Research, Minneapolis, MN, USA. 3. Blood & Marrow Transplant Program, Cleveland Clinic, Cleveland, OH, USA. 4. Center for International Blood and Marrow Transplant Research, Milwaukee, WI, USA. 5. Apriori Bayesian Consulting, LLC, 2643 Sleepy Hollow Drive, State College, PA, 16803, USA. dvanness@aprioribayesian.com.
Abstract
OBJECTIVES: The primary objective of this study was to predict healthcare cost trajectories for patients with newly diagnosed acute myeloid leukemia (AML) receiving allogeneic hematopoietic cell transplantation (alloHCT), as a function of days since chemotherapy initiation, days relative to alloHCT, and days before death or last date of insurance eligibility (LDE). An exploratory objective examined patients with AML receiving chemotherapy only. METHODS: We used Optum's de-identified Clinformatics® Data Mart Database to construct cumulative cost trajectories from chemotherapy initiation to death or LDE (through 31 December 2014) for US patients aged 20-74 years diagnosed between 1 March 2004 and 31 December 2013 (n = 187 alloHCT; n = 253 chemotherapy only). We used generalized additive modeling (GAM) to predict expected trajectories and bootstrapped confidence intervals (CIs) at user-specified intervals conditional on dates of alloHCT and death or LDE relative to chemotherapy initiation. RESULTS: Expected costs (in 2017 values) for a hypothetical patient receiving alloHCT 60 days after chemotherapy initiation and followed for 5 years were $US572,000 (95% CI 517,000-633,000); $US119,000 (95% CI 51,000-192,000); $US102,000 (95% CI 0-285,000); $US79,000 (95% CI 0-233,000), for years 1-4, respectively, and either $US494,000 (95% CI 212,000-799,000) or $US108,000 (95% CI 0-230,000) in year 5, whether the patient died or was lost to follow-up on day 1825, respectively. CONCLUSIONS: Rates of cost accrual varied over time since chemotherapy initiation, with accelerations around the time of alloHCT and death. GAM is a potentially useful approach for imputing longitudinal costs relative to treatment initiation and one or more intercurrent, clinical, or terminal events in randomized controlled trials or registries with unrecorded costs or for dynamic decision-analytic models.
OBJECTIVES: The primary objective of this study was to predict healthcare cost trajectories for patients with newly diagnosed acute myeloid leukemia (AML) receiving allogeneic hematopoietic cell transplantation (alloHCT), as a function of days since chemotherapy initiation, days relative to alloHCT, and days before death or last date of insurance eligibility (LDE). An exploratory objective examined patients with AML receiving chemotherapy only. METHODS: We used Optum's de-identified Clinformatics® Data Mart Database to construct cumulative cost trajectories from chemotherapy initiation to death or LDE (through 31 December 2014) for USpatients aged 20-74 years diagnosed between 1 March 2004 and 31 December 2013 (n = 187 alloHCT; n = 253 chemotherapy only). We used generalized additive modeling (GAM) to predict expected trajectories and bootstrapped confidence intervals (CIs) at user-specified intervals conditional on dates of alloHCT and death or LDE relative to chemotherapy initiation. RESULTS: Expected costs (in 2017 values) for a hypothetical patient receiving alloHCT 60 days after chemotherapy initiation and followed for 5 years were $US572,000 (95% CI 517,000-633,000); $US119,000 (95% CI 51,000-192,000); $US102,000 (95% CI 0-285,000); $US79,000 (95% CI 0-233,000), for years 1-4, respectively, and either $US494,000 (95% CI 212,000-799,000) or $US108,000 (95% CI 0-230,000) in year 5, whether the patientdied or was lost to follow-up on day 1825, respectively. CONCLUSIONS: Rates of cost accrual varied over time since chemotherapy initiation, with accelerations around the time of alloHCT and death. GAM is a potentially useful approach for imputing longitudinal costs relative to treatment initiation and one or more intercurrent, clinical, or terminal events in randomized controlled trials or registries with unrecorded costs or for dynamic decision-analytic models.
Authors: Annemieke Leunis; Hedwig M Blommestein; Peter C Huijgens; Nicole M A Blijlevens; Mojca Jongen-Lavrencic; Carin A Uyl-de Groot Journal: Leuk Res Date: 2012-10-12 Impact factor: 3.156
Authors: K Robin Yabroff; Elizabeth B Lamont; Angela Mariotto; Joan L Warren; Marie Topor; Angela Meekins; Martin L Brown Journal: J Natl Cancer Inst Date: 2008-04-29 Impact factor: 13.506