Ceftazidime with avibactam for treating severe aerobic Gram-negative bacterial infections: technology evaluation to inform a novel subscription-style payment model.
Sue Harnan, Ben Kearns, Alison Scope, Laetitia Schmitt, Dina Jankovic, Jean Hamilton, Tushar Srivastava, Harry Hill, Chu Chang Ku, Shijie Ren, Claire Rothery, Laura Bojke, Mark Sculpher, Beth Woods
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The results were used to inform National Institute for Health and Care Excellence guidance in support of commercial discussions regarding contract value between the manufacturer and NHS England.</p><p><strong>Methods: </strong>The health benefit of ceftazidime-avibactam was first derived for a series of high-value clinical scenarios. These represented uses that were expected to have a significant impact on patients' mortality risks and health-related quality of life. Patient-level costs and health-related quality of life of ceftazidime-avibactam under various usage scenarios compared with alternative management strategies in the high-value clinical scenarios were quantified using decision modelling. Results were reported as incremental net health effects expressed in quality-adjusted life-years, which were scaled to 20-year population in quality-adjusted life-years using infection number forecasts based on data from Public Health England. The outcomes estimated for the high-value clinical scenarios were extrapolated to other expected uses for ceftazidime-avibactam.</p><p><strong>Results: </strong>The clinical effectiveness of ceftazidime-avibactam relative to its comparators was estimated by synthesising evidence on susceptibility of the pathogens of interest to the antimicrobials in a network meta-analysis. In the base case, ceftazidime-avibactam was associated with a statistically significantly higher susceptibility relative to colistin (odds ratio 7.24, 95% credible interval 2.58 to 20.94). The remainder of the treatments were associated with lower susceptibility than colistin (odds ratio < 1). The results were sensitive to the definition of resistance and the studies included in the analysis. In the base case, patient-level benefit of ceftazidime-avibactam was between 0.08 and 0.16 quality-adjusted life-years, depending on the site of infection and the usage scenario. There was a high degree of uncertainty surrounding the benefits of ceftazidime-avibactam across all subgroups, and the results were sensitive to assumptions in the meta-analysis used to estimate susceptibility. There was substantial uncertainty in the number of infections that are suitable for treatment with ceftazidime-avibactam, so population-level results are presented for a range of scenarios for the current infection numbers, the expected increases in infections over time, and rates of emergence of resistance. 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引用次数: 0
Abstract
Background: To limit the use of antimicrobials without disincentivising the development of novel antimicrobials, there is interest in establishing innovative models that fund antimicrobials based on an evaluation of their value as opposed to the volumes used. The aim of this project was to evaluate the population-level health benefit of ceftazidime-avibactam in the NHS in England, for the treatment of severe aerobic Gram-negative bacterial infections when used within its licensed indications. The results were used to inform National Institute for Health and Care Excellence guidance in support of commercial discussions regarding contract value between the manufacturer and NHS England.
Methods: The health benefit of ceftazidime-avibactam was first derived for a series of high-value clinical scenarios. These represented uses that were expected to have a significant impact on patients' mortality risks and health-related quality of life. Patient-level costs and health-related quality of life of ceftazidime-avibactam under various usage scenarios compared with alternative management strategies in the high-value clinical scenarios were quantified using decision modelling. Results were reported as incremental net health effects expressed in quality-adjusted life-years, which were scaled to 20-year population in quality-adjusted life-years using infection number forecasts based on data from Public Health England. The outcomes estimated for the high-value clinical scenarios were extrapolated to other expected uses for ceftazidime-avibactam.
Results: The clinical effectiveness of ceftazidime-avibactam relative to its comparators was estimated by synthesising evidence on susceptibility of the pathogens of interest to the antimicrobials in a network meta-analysis. In the base case, ceftazidime-avibactam was associated with a statistically significantly higher susceptibility relative to colistin (odds ratio 7.24, 95% credible interval 2.58 to 20.94). The remainder of the treatments were associated with lower susceptibility than colistin (odds ratio < 1). The results were sensitive to the definition of resistance and the studies included in the analysis. In the base case, patient-level benefit of ceftazidime-avibactam was between 0.08 and 0.16 quality-adjusted life-years, depending on the site of infection and the usage scenario. There was a high degree of uncertainty surrounding the benefits of ceftazidime-avibactam across all subgroups, and the results were sensitive to assumptions in the meta-analysis used to estimate susceptibility. There was substantial uncertainty in the number of infections that are suitable for treatment with ceftazidime-avibactam, so population-level results are presented for a range of scenarios for the current infection numbers, the expected increases in infections over time, and rates of emergence of resistance. The population-level benefit varied substantially across the scenarios, from 531 to 2342 quality-adjusted life-years over 20 years.
Conclusion: This work has provided quantitative estimates of the value of ceftazidime-avibactam within its areas of expected usage within the NHS.
Limitations: Given existing evidence, the estimates of the value of ceftazidime-avibactam are highly uncertain.
Future work: Future evaluations of antimicrobials would benefit from improvements to NHS data linkages, research to support appropriate synthesis of susceptibility studies, and application of routine data and decision modelling to assess enablement value.
Study registration: No registration of this study was undertaken.
Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Policy Research Programme (NIHR award ref: NIHR135592), conducted through the Policy Research Unit in Economic Methods of Evaluation in Health and Social Care Interventions, PR-PRU-1217-20401, and is published in full in Health Technology Assessment; Vol. 28, No. 73. See the NIHR Funding and Awards website for further award information.
背景:为了限制抗菌药物的使用,同时又不抑制新型抗菌药物的开发,人们有兴趣建立创新模式,根据抗菌药物的价值评估而不是使用量来资助抗菌药物。该项目的目的是评估头孢唑肟-阿维巴坦在英格兰国家医疗服务体系中用于治疗严重需氧革兰阴性菌感染时,在其许可适应症范围内的人群健康效益。研究结果为英国国家健康与护理卓越研究所(National Institute for Health and Care Excellence)提供了指导,以支持生产商与英国国家医疗服务体系(NHS England)就合同价值进行商业讨论:方法:首先针对一系列高价值临床方案得出头孢唑肟-阿维巴坦的健康效益。这些方案代表了预计会对患者死亡率风险和健康相关生活质量产生重大影响的用途。使用决策模型对头孢他啶-阿维巴坦在不同使用情况下的患者层面成本和健康相关生活质量进行量化,并与高价值临床方案中的替代管理策略进行比较。结果以质量调整生命年表示的增量净健康效应进行报告,并根据英格兰公共卫生部门的数据进行感染人数预测,以质量调整生命年表示的增量净健康效应按20年人口进行缩放。高价值临床方案的估计结果被外推至头孢他啶-阿维巴坦的其他预期用途:通过网络荟萃分析,综合相关病原体对抗菌药物敏感性的证据,估算出头孢他啶-阿维巴坦相对于同类药物的临床疗效。在基础病例中,头孢唑肟-阿维巴坦相对于可乐定的敏感性在统计学上明显更高(几率比 7.24,95% 可信区间 2.58 至 20.94)。其余治疗方法的敏感性均低于可乐定(几率比小于 1)。结果对耐药性的定义和纳入分析的研究很敏感。在基础病例中,头孢他啶-阿维巴坦在患者层面的获益为0.08至0.16质量调整生命年,具体取决于感染部位和使用方案。头孢他啶-阿维巴坦在所有亚组中的获益具有高度不确定性,其结果对用于估计易感性的荟萃分析中的假设非常敏感。适合使用头孢他啶-阿维巴坦治疗的感染病例数存在很大的不确定性,因此,本文针对当前感染病例数、随着时间推移感染病例数的预期增长以及耐药性的出现率等一系列假设,给出了人群水平的结果。不同情景下的人群获益差异很大,20 年间质量调整生命年从 531 年到 2342 年不等:这项研究对头孢他啶-阿维巴坦在国民保健服务体系中的预期使用范围内的价值进行了量化估算:局限性:鉴于现有证据,头孢他啶-阿维巴坦的价值估算具有高度不确定性:今后的工作:改进 NHS 数据链接、研究支持药敏性研究的适当综合、应用常规数据和决策建模评估启用价值,都将有利于今后的抗菌药物评估工作:本研究未进行注册:本奖项由国家健康与护理研究所(NIHR)政策研究计划(NIHR奖项编号:NIHR135592)资助,通过健康与社会护理干预措施经济评估方法政策研究组(PR-PRU-1217-20401)进行,全文发表于《健康技术评估》(Health Technology Assessment);第28卷,第73期。欲了解更多奖项信息,请访问 NIHR Funding and Awards 网站。
期刊介绍:
Health Technology Assessment (HTA) publishes research information on the effectiveness, costs and broader impact of health technologies for those who use, manage and provide care in the NHS.