医学
置信区间
胸内动脉
旁路移植
质量调整寿命年
动脉
成本效益
冠状动脉疾病
血运重建
外科
内科学
心脏病学
心肌梗塞
风险分析(工程)
作者
Matthew Little,Alastair Gray,Douglas G. Altman,Umberto Benedetto,Marcus Flather,Stephen Gerry,Belinda Lees,Jacqueline Murphy,Mario Gaudino,David P. Taggart
出处
期刊:European Heart Journal - Quality of Care and Clinical Outcomes
[Oxford University Press]
日期:2021-01-27
卷期号:8 (3): 324-332
被引量:6
标识
DOI:10.1093/ehjqcco/qcab004
摘要
Abstract Aims Using bilateral internal thoracic arteries (BITAs) for coronary artery bypass grafting (CABG) has been suggested to improve survival compared to CABG using single internal thoracic arteries (SITAs) for patients with advanced coronary artery disease. We used data from the Arterial Revascularization Trial (ART) to assess long-term cost-effectiveness of BITA grafting compared to SITA grafting from an English health system perspective. Methods and results Resource use, healthcare costs, and quality-adjusted life years (QALYs) were assessed across 10 years of follow-up from an intention-to-treat perspective. Missing data were addressed using multiple imputation. Incremental cost-effectiveness ratios were calculated with uncertainty characterized using non-parametric bootstrapping. Results were extrapolated beyond 10 years using Gompertz functions for survival and linear models for total cost and utility. Total mean costs at 10 years of follow-up were £17 594 in the BITA arm and £16 462 in the SITA arm [mean difference £1133 95% confidence interval (CI) £239 to £2026, P = 0.015]. Total mean QALYs at 10 years were 6.54 in the BITA arm and 6.57 in the SITA arm (adjusted mean difference −0.01 95% CI −0.2 to 0.1, P = 0.883). At 10 years, BITA grafting had a 33% probability of being cost-effective compared to SITA, assuming a cost-effectiveness threshold of £20 000. Lifetime extrapolation increased the probability of BITA being cost-effective to 51%. Conclusions BITA grafting has significantly higher costs but similar quality-adjusted survival at 10 years compared to SITA grafting. Extrapolation suggests this could change over lifetime.
科研通智能强力驱动
Strongly Powered by AbleSci AI