Health Economics and Outcomes Research, Abbott Diagnostics, Wiesbaden, Germany.
Medical Affairs, Abbott Diagnostics, Max-Planck-Ring 2, 65205 Athens, Greece.
Eur Heart J Qual Care Clin Outcomes. 2022 May 5;8(3):342-351. doi: 10.1093/ehjqcco/qcab005.
To estimate the cost-effectiveness of using the cardiac specific marker high-sensitivity troponin-I (hsTnI) for assessing cardiovascular disease (CVD) risk in a general population.
A discrete-event simulation model was developed from a societal perspective of a low-risk (Germany) and a high-risk (Kazakhstan) country. The model compared a Screen&Prevent strategy guided by hsTnI against a do-nothing strategy. Risk functions were derived from published data of a prospective cohort study [Nord-Trøndelag Health (HUNT) Study]. The model assessed the number of CVD events and deaths, healthy life years, direct and indirect costs in PPP 2018 Dollar, and quality-adjusted life years (QALY) over a time horizon of 10 years. Screen&Prevent reduced the number of CVD events per 1000 subjects by 5.1 and 5.0, equal to a number-needed-to-screen of 195 and 191 in Kazakhstan and Germany. Screen&Prevent was cost saving in Kazakhstan and cost-effective in Germany with an incremental-cost-effectiveness ratio of $6755 ($2294; $24 054) per QALY gained at an opportunity-cost based willingness-to-pay threshold of $27 373. Varying input variables in univariate and probabilistic sensitivity analyses confirmed the robustness of the analysis.
Assessing the cardiovascular risk with hsTnI in a general population and subsequently referring those at high risk to preventive means would very likely be cost-effective or cost-saving by avoiding CVD events and associated direct and indirect costs. This conclusion is retained even if only the direct costs or only the costs for screening and prevention are considered. Future studies should evaluate the incremental cost-effectiveness of hsTnI-guided assessment strategies against established risk algorithms.
评估在一般人群中使用心脏特异性标志物高敏肌钙蛋白 I(hsTnI)评估心血管疾病(CVD)风险的成本效益。
从低风险(德国)和高风险(哈萨克斯坦)国家的社会角度出发,开发了一个离散事件模拟模型。该模型比较了 hsTnI 指导的 Screen&Prevent 策略与不采取任何措施的策略。风险函数源自一项前瞻性队列研究[挪威特伦德拉格健康(HUNT)研究]的已发表数据。该模型评估了在 10 年时间内,每 1000 例患者的 CVD 事件和死亡人数、健康寿命年数、直接和间接成本(按购买力平价 2018 美元计算)以及质量调整生命年(QALY)。Screen&Prevent 使每 1000 例患者的 CVD 事件减少了 5.1 和 5.0,在哈萨克斯坦和德国,这相当于需要筛查的人数分别为 195 和 191。在以机会成本为基础的支付意愿阈值为 27373 美元的情况下,Screen&Prevent 在哈萨克斯坦具有成本节约效果,在德国具有成本效益,增量成本效益比为每获得一个 QALY 节省 6755 美元(2294 美元;24054 美元)。在单变量和概率敏感性分析中改变输入变量,证实了分析的稳健性。
在一般人群中使用 hsTnI 评估心血管风险,随后将高危人群转介至预防措施,通过避免 CVD 事件及其相关的直接和间接成本,很可能具有成本效益或成本节约。即使只考虑直接成本或仅考虑筛查和预防成本,也保留这一结论。未来的研究应评估 hsTnI 指导评估策略与既定风险算法的增量成本效益。