OBJECTIVE: Medical costs that may be avoided when any of the four new oral anticoagulants (NOACs), dabigatran, rivaroxaban, apixaban, and edoxaban, are used instead of warfarin for the treatment of non-valvular atrial fibrillation (NVAF) were estimated and compared. Additionally, the overall differences in medical costs were estimated for NVAF and venous thromboembolism (VTE) patient populations combined. METHODS: Medical cost differences associated with NOAC use vs warfarin or placebo among NVAF and VTE patients were estimated based on clinical event rates obtained from the published trial data. The clinical event rates were calculated as the percentage of patients with each of the clinical events during the trial periods. Univariate and multivariate sensitivity analyses were conducted for the medical-cost differences determined for NVAF patients. A hypothetical health plan population of 1 million members was used to estimate and compare the combined medical-cost differences of the NVAF and VTE populations and were projected in the years 2015-2018. RESULTS: In a year, the medical-cost differences associated with NOAC use instead of warfarin were estimated at -$204, -$140, -$495, and -$340 per patient for dabigatran, rivaroxaban, apixaban, and edoxaban, respectively. In 2014, among the hypothetical population, the medical-cost differences were -$3.7, -$4.2, -$11.5, and -$6.6 million for NVAF and acute VTE patients treated with dabigatran, rivaroxaban, apixaban, and edoxaban, respectively. In 2014, for the combined NVAF, acute VTE, and extended VTE patient populations, medical-cost differences were -$10.0, -$10.9, -$21.0, and -$21.0 million for dabigatran, rivaroxaban, 2.5 mg apixaban, and 5 mg apixaban, respectively. Medical-cost differences associated with use of NOACs were projected to steadily increase from 2014 to 2018. CONCLUSIONS: Medical costs are reduced when NOACs are used instead of warfarin/placebo for the treatment of NVAF or VTE, with apixaban being associated with the greatest reduction in medical costs.
OBJECTIVE: Medical costs that may be avoided when any of the four new oral anticoagulants (NOACs), dabigatran, rivaroxaban, apixaban, and edoxaban, are used instead of warfarin for the treatment of non-valvular atrial fibrillation (NVAF) were estimated and compared. Additionally, the overall differences in medical costs were estimated for NVAF and venous thromboembolism (VTE) patient populations combined. METHODS: Medical cost differences associated with NOAC use vs warfarin or placebo among NVAF and VTEpatients were estimated based on clinical event rates obtained from the published trial data. The clinical event rates were calculated as the percentage of patients with each of the clinical events during the trial periods. Univariate and multivariate sensitivity analyses were conducted for the medical-cost differences determined for NVAF patients. A hypothetical health plan population of 1 million members was used to estimate and compare the combined medical-cost differences of the NVAF and VTE populations and were projected in the years 2015-2018. RESULTS: In a year, the medical-cost differences associated with NOAC use instead of warfarin were estimated at -$204, -$140, -$495, and -$340 per patient for dabigatran, rivaroxaban, apixaban, and edoxaban, respectively. In 2014, among the hypothetical population, the medical-cost differences were -$3.7, -$4.2, -$11.5, and -$6.6 million for NVAF and acute VTEpatients treated with dabigatran, rivaroxaban, apixaban, and edoxaban, respectively. In 2014, for the combined NVAF, acute VTE, and extended VTEpatient populations, medical-cost differences were -$10.0, -$10.9, -$21.0, and -$21.0 million for dabigatran, rivaroxaban, 2.5 mg apixaban, and 5 mg apixaban, respectively. Medical-cost differences associated with use of NOACs were projected to steadily increase from 2014 to 2018. CONCLUSIONS: Medical costs are reduced when NOACs are used instead of warfarin/placebo for the treatment of NVAF or VTE, with apixaban being associated with the greatest reduction in medical costs.
Authors: Anene Ukaigwe; Pragya Shrestha; Paras Karmacharya; Sarah K Hussain; Soraya Samii; Mario D Gonzalez; Deborah Wolbrette; Gerald V Naccarrelli Journal: J Interv Card Electrophysiol Date: 2016-10-22 Impact factor: 1.900
Authors: Jeffrey Trocio; Virginia M Rosen; Anu Gupta; Oluwaseyi Dina; Lien Vo; Patrick Hlavacek; Lisa Rosenblatt Journal: Clinicoecon Outcomes Res Date: 2018-12-19