In Vitro Fertilization with Preimplantation Genetic Testing for Aneuploidy for Infertility in China: A Cost-Effectiveness Analysis

Objectives: To investigate the cost-effectiveness of preimplantation genetic testing for aneuploidy (PGT-A) versus conventional technology in in vitro fertilization (IVF) from the perspective of the healthcare system in China. Design: Economic evaluation based on a large multi-center randomized trial (CESE-PGS study). Population: Infertile women with a good prognosis for a live birth in China Methods: Following the exact steps in the IVF protocol, a decision tree model was developed, based on the data from the CESE-PGS trial and using cost scenarios for IVF in China. The scenarios were compared for costs per patient and cost-effectiveness. One-way sensitivity analysis and probabilistic sensitivity analysis were performed to confirm the robustness of the findings. Main Outcome Measures: Costs per live birth, Costs per patient, Incremental cost-effectiveness for miscarriage prevention Results: The average costs per live birth of PGT-A were estimated as ¥39230.71, which is about 16.8% higher than that of the conventional group. Threshold analysis revealed that PGT-A would need to increase the pregnancy rate of 26.24% to 98.24% or a cost reduction of ¥4649.29 to ¥1350.71 to achieve the same cost-effectiveness. The incremental costs per prevented miscarriage was approximately ¥45600.23. Probabilistic sensitivity analysis indicated a probability of 97.50% that PGT-A is cost-effective when the willingness to pay was ¥ 21,7113.00 per prevented miscarriage. Conclusions: The present cost-effectiveness analysis demonstrates that embryo selection with PGT‑A is not suitable for routine applications from the perspective of healthcare providers in China, given the cumulative live birth rate (CLBR) and the high costs of PGT‑A.