Mariani Alfredo, Mohiuddin Syed, Muller Patrick, Samarasekera Eleanor, Swain Sharon A, Mills Joseph, Patel Riyaz, Preiss David, Shantsila Eduard, Downing Beatrice C, Lonergan Michael, Rowark Shaun, Welton Nicky J, Williams Rachael, Wonderling David
Science, Evidence and Analytics Directorate, National Institute for Health and Care Excellence, 2 Redman Place (2nd Floor), London, E20 1JQ, UK.
Centre for Guidelines, National Institute for Health and Care Excellence, London, UK.
Appl Health Econ Health Policy. 2025 May 24. doi: 10.1007/s40258-025-00977-6.
Despite the decreased risk of cardiovascular disease (CVD) with statins, there remains an unfulfilled clinical need to prevent CVD events and premature mortality through further cholesterol-modifying interventions. In people with established CVD taking a statin, lipid therapy escalation to reduce low-density lipoprotein cholesterol (LDL-C) or non-high-density lipoprotein cholesterol (non-HDL-C) levels may lower the risk of CVD hospital admissions and improve survival. However, the cost-effectiveness of different cholesterol treatment escalation thresholds is uncertain.
This study aimed to identify the most cost-effective cholesterol threshold for escalating lipid therapy in people with established CVD who are taking a statin, to support the 2023 update of the NICE guideline on CVD in England.
A cohort Markov model with a yearly cycle length was developed to compare the lifetime costs and quality-adjusted life years (QALYs) of various LDL-C treatment escalation thresholds (0-4.0 mmol/L), using a combination of treatment effects from an original network meta-analysis of randomised controlled trials (RCTs), real-world data for estimating baseline cholesterol levels and CVD event rates from a published meta-analysis of statin RCTs. The model used the following CVD events: ischaemic stroke; transient ischaemic attack; peripheral artery disease; myocardial infarction; unstable angina; coronary revascularisation; and mortality. The model also used evidence-based estimates of resource use and costs, and published quality of life data. Baseline LDL-C levels and CVD hospital admission rates were estimated through a bespoke analysis of the English primary care data from Clinical Practice Research Datalink (CPRD), linked to Hospital Episode Statistics Admitted Patient Care (HES) and Office for National Statistics (ONS) death registrations.
Data from 590,917 adult individuals (61.7% men) with CVD on a statin in primary care between 1 January 2013 and 28 February 2020 were included in the CPRD-HES-ONS analysis. The most cost-effective threshold for lipid therapy escalation was an LDL-C of 2.2 mmol/L (or equivalent non-HDL-C of 2.9 mmol/L) at NICE's lower cost per QALY of £20,000. An LDL-C of 2.0 mmol/L (or equivalent non-HDL-C of 2.6 mmol/L) was the most cost-effective treatment escalation threshold in a significant proportion (38%) of probabilistic simulations and produced more health. At this threshold, the model predicted that 42% of people with CVD would require combination therapy with ezetimibe while 19% would require an injectable drug such as inclisiran. At NICE's upper cost per QALY of £30,000, the most cost-effective LDL-C treatment escalation threshold was 1.7 mmol/L (or equivalent non-HDL-C of 2.2 mmol/L).
The results demonstrate the importance of establishing evidence of cost-effectiveness for cholesterol treatment escalation thresholds. The study's findings support the updated NICE guideline recommending a threshold of 2.0 mmol/L LDL-C (or equivalent non-HDL-C of 2.6 mmol/L) for secondary prevention of CVD.
尽管他汀类药物可降低心血管疾病(CVD)风险,但仍存在未满足的临床需求,即需要通过进一步的胆固醇调节干预措施来预防CVD事件和过早死亡。在已确诊患有CVD且正在服用他汀类药物的人群中,强化脂质治疗以降低低密度脂蛋白胆固醇(LDL-C)或非高密度脂蛋白胆固醇(非HDL-C)水平,可能会降低CVD住院风险并提高生存率。然而,不同胆固醇治疗强化阈值的成本效益尚不确定。
本研究旨在确定在已确诊患有CVD且正在服用他汀类药物的人群中,强化脂质治疗最具成本效益的胆固醇阈值,以支持英国国家卫生与临床优化研究所(NICE)2023年关于CVD的指南更新。
开发了一个年度周期长度的队列马尔可夫模型,使用来自随机对照试验(RCT)的原始网络荟萃分析的治疗效果、已发表的他汀类RCT荟萃分析中用于估计基线胆固醇水平和CVD事件发生率的真实世界数据,比较各种LDL-C治疗强化阈值(0至4.0 mmol/L)的终生成本和质量调整生命年(QALY)。该模型使用了以下CVD事件:缺血性中风;短暂性脑缺血发作;外周动脉疾病;心肌梗死;不稳定型心绞痛;冠状动脉血运重建;以及死亡率。该模型还使用了基于证据的资源使用和成本估计,以及已发表的生活质量数据。通过对来自临床实践研究数据链(CPRD)的英国初级保健数据进行定制分析,估计基线LDL-C水平和CVD住院率,该数据与医院事件统计入院患者护理(HES)和国家统计局(ONS)死亡登记相关联。
CPRD - HES - ONS分析纳入了2013年1月1日至2020年2月28日期间在初级保健中服用他汀类药物的590,917名患有CVD的成年个体(61.7%为男性)的数据。在NICE每QALY成本较低为20,000英镑的情况下,脂质治疗强化最具成本效益的阈值是LDL-C为2.2 mmol/L(或等效的非HDL-C为2.9 mmol/L)。在相当比例(38%)的概率模拟中,LDL-C为2.0 mmol/L(或等效的非HDL-C为2.6 mmol/L)是最具成本效益的治疗强化阈值,并且能带来更多健康收益。在此阈值下,模型预测42%的CVD患者需要依泽替米贝联合治疗,而19%的患者需要使用如英克西兰等注射药物。在NICE每QALY成本较高为30,000英镑的情况下,最具成本效益的LDL-C治疗强化阈值是1.7 mmol/L(或等效的非HDL-C为2.2 mmol/L)。
结果表明为胆固醇治疗强化阈值建立成本效益证据的重要性。该研究结果支持NICE更新后的指南,推荐将LDL-C阈值设定为2.0 mmol/L(或等效的非HDL-C为2.6 mmol/L)用于CVD的二级预防。