Abstract

ObjectiveA study has analyzed the long-term cost-effectiveness of fluticasone furoate/umeclidinium bromide/vilanterol combination therapy (FF/UMEC/VI) versus umeclidinium bromide/vilanterol dual therapy (UMEC/VI) in the treatment of moderate or severe chronic obstructive pulmonary disease (COPD), providing evidence for decision-making in COPD treatment. MethodsFrom the perspective of the whole society, a Markov model based on the severity of COPD was established, consisting of four states: moderate, severe, very severe, and death. The cycle of the model is three months, and the time frame of the study is 20 years. Data such as initial states, transition probabilities, costs, and utilities were collected from published literature, the National Institute for Health and Care Excellence (NICE) COPD economic report, Yaozh database, and the National Statistics Office. The discount rate is 5 %, and the willingness to pay threshold is set at three times the per capita GDP of China in 2022. TreeAge Pro 2011 was used to obtain the results of multiplication analyses, and one-way factor analysis and probability sensitivity analysis were conducted. ResultsThe study findings demonstrate that for patients treated with FF/UMEC/VI and UMEC/VI, the 20-year treatment costs amount to $10,126.46 and $10,685.74, respectively. Similarly, the effectiveness is 32.94 quality-adjusted life years (QALYs) and 32.19 QALYs, respectively. The incremental cost-effectiveness ratio is $-745.70/QALY, which is lower than the willingness to pay threshold. The tornado plot from one-way factor analysis indicates that the first two factors impacting the results are the utility values for severe COPD of UMEC/VI and FF/UMEC/VI. Probability sensitivity analysis indicates that FF/UMEC/VI compared to UMEC/VI can be considered a more cost−effective treatment at the willingness to pay threshold of $35,806.96. ConclusionThe triple therapy (FF/UMEC/VI) is more affordable than dual therapy (UMEC/VI) when compared to China's three times GDP per capita criterion.

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