Cost-effectiveness of follow-up algorithms for chronic thromboembolic pulmonary hypertension in pulmonary embolism survivors
Luijten D, van den Hout WB, Boon GJAM, Barco S, Bogaard HJ, Delcroix M, Kreitner KF, Held M, Huisman MV, Jara-Palomares L, Konstantinides SV, Kroft LJM, Mairuhu ATA, Meijboom LJ, van Mens TE, Ninaber MK, Nossent EJ, Pruszczyk P, Valerio L, Vonk Noord
INTRODUCTION: Achieving an early diagnosis of chronic thromboembolic pulmonary hypertension (CTEPH) in pulmonary embolism (PE) survivors results in better quality of life and survival. Importantly, dedicated follow-up strategies to achieve an earlier CTEPH diagnosis involve costs that were not explicitly incorporated in the models assessing their cost-effectiveness. We performed an economic evaluation of 11 distinct PE follow-up algorithms to determine which should be preferred.
MATERIALS AND METHODS: 11 different PE follow-up algorithms and one hypothetical scenario without a dedicated CTEPH follow-up algorithm were included in a Markov model. Diagnostic accuracy of consecutive tests was estimated from patient-level data of the InShape II study (n=424). The lifelong costs per CTEPH patient were compared and related to quality-adjusted life-years (QALYs) for each scenario.
RESULTS: Compared to not performing dedicated follow-up, the integrated follow-up algorithms are associated with an estimated increase of 0.89-1.2 QALYs against an incremental cost-effectiveness ratio (ICER) of EUR 25 700-46 300 per QALY per CTEPH patient. When comparing different algorithms with each other, the maximum differences were 0.27 QALYs and EUR 27 600. The most cost-effective algorithm was the InShape IV algorithm, with an ICER of EUR 26 700 per QALY compared to the next best algorithm.
CONCLUSION: Subjecting all PE survivors to any of the currently established dedicated follow-up algorithms to detect CTEPH is cost-effective and preferred above not performing a dedicated follow-up, evaluated against the Dutch acceptability threshold of EUR 50 000 per QALY. The model can be used to identify the locally preferred algorithm from an economical point-of-view within local logistical possibilities.
Copyright ©The authors 2025.
ERJ open research, 2025-01-16