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用于草花粉变应原免疫治疗经济学评价的非平稳马尔可夫模型。

A non-stationary Markov model for economic evaluation of grass pollen allergoid immunotherapy.

机构信息

Ionic Department in Legal and Economic System of Mediterranean (DJSGEM), University of Bari Aldo Moro, Taranto, Italy.

Department of Computer, Control, and Management Engineering Antonio Ruberti (DIAG), La Sapienza University, Rome, Italy.

出版信息

PLoS One. 2020 May 14;15(5):e0232753. doi: 10.1371/journal.pone.0232753. eCollection 2020.

DOI:10.1371/journal.pone.0232753
PMID:32407326
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7224467/
Abstract

INTRODUCTION

Allergic rhino-conjunctivitis (ARC) is an IgE-mediated disease that occurs after exposure to indoor or outdoor allergens, or to non-specific triggers. Effective treatment options for seasonal ARC are available, but the economic aspects and burden of these therapies are not of secondary importance, also considered that the prevalence of ARC has been estimated at 23% in Europe. For these reasons, we propose a novel flexible cost-effectiveness analysis (CEA) model, intended to provide healthcare professionals and policymakers with useful information aimed at cost-effective interventions for grass-pollen induced allergic rhino-conjunctivitis (ARC).

METHODS

Treatments compared are: 1. no AIT, first-line symptomatic drug-therapy with no allergoid immunotherapy (AIT). 2. SCIT, subcutaneous immunotherapy. 3. SLIT, sublingual immunotherapy. The proposed model is a non-stationary Markovian model, that is flexible enough to reflect those treatment-related problems often encountered in real-life and clinical practice, but that cannot be adequately represented in randomized clinical trials (RCTs). At the same time, we described in detail all the structural elements of the model as well as its input parameters, in order to minimize any issue of transparency and facilitate the reproducibility and circulation of the results among researchers.

RESULTS

Using the no AIT strategy as a comparator, and the Incremental Cost Effectiveness Ratio (ICER) as a statistic to summarize the cost-effectiveness of a health care intervention, we could conclude that: SCIT systematically outperforms SLIT, except when a full societal perspective is considered. For example, for T = 9 and a pollen season of 60 days, we have ICER = €16,729 for SCIT vs. ICER = €15,116 for SLIT (in the full societal perspective).For longer pollen seasons or longer follow-up duration the ICER decreases, because each patient experiences a greater clinical benefit over a larger time span, and Quality-adjusted Life Year (QALYs) gained per cycle increase accordingly.Assuming that no clinical benefit is achieved after premature discontinuation, and that at least three years of immunotherapy are required to improve clinical manifestations and perceiving a better quality of life, ICERs become far greater than €30,000.If the immunotherapy is effective only at the peak of the pollen season, the relative ICERs rise sharply. For example, in the scenario where no clinical benefit is present after premature discontinuation of immunotherapy, we have ICER = €74,770 for SCIT vs. ICER = €152,110 for SLIT.The distance between SCIT and SLIT strongly depends on under which model the interventions are meta-analyzed.

CONCLUSIONS

Even though there is a considerable evidence that SCIT outperforms SLIT, we could not state that both SCIT and SLIT (or only one of these two) can be considered cost-effective for ARC, as a reliable threshold value for cost-effectiveness set by national regulatory agencies for pharmaceutical products is missing. Moreover, the impact of model input parameters uncertainty on the reliability of our conclusions needs to be investigated further.

摘要

简介

过敏性鼻结膜炎(ARC)是一种由室内或室外过敏原或非特异性触发物引起的 IgE 介导的疾病。目前已有有效的季节性 ARC 治疗选择,但这些疗法的经济方面和负担也同样重要,因为 ARC 的患病率在欧洲估计为 23%。出于这些原因,我们提出了一种新的灵活的成本效益分析(CEA)模型,旨在为医疗保健专业人员和决策者提供有用的信息,以实现针对草花粉引起的过敏性鼻结膜炎(ARC)的具有成本效益的干预措施。

方法

比较的治疗方法有:1.不进行 AIT,一线对症药物治疗,无过敏原免疫疗法(AIT)。2. SCIT,皮下免疫疗法。3. SLIT,舌下免疫疗法。所提出的模型是一个非平稳的马尔可夫模型,它足够灵活,可以反映现实生活和临床实践中经常遇到的那些与治疗相关的问题,但在随机临床试验(RCT)中无法充分体现。同时,我们详细描述了模型的所有结构要素及其输入参数,以尽量减少透明度问题,并促进研究人员之间的结果可重复性和传播。

结果

使用不进行 AIT 策略作为对照,并以增量成本效益比(ICER)作为统计量来总结医疗保健干预的成本效益,我们可以得出结论:SCIT 系统优于 SLIT,除非考虑到全面的社会视角。例如,对于 T = 9 和花粉季节为 60 天的情况,我们得到 SCIT 的增量成本效益比(ICER)为 16729 欧元,而 SLIT 的 ICER 为 15116 欧元(在全面的社会视角下)。对于更长的花粉季节或更长的随访时间,ICER 会降低,因为每个患者在更长的时间内经历更大的临床获益,并且每个周期获得的质量调整生命年(QALY)相应增加。假设提前停药后没有临床获益,并且至少需要三年的免疫疗法才能改善临床表现和提高生活质量,ICER 会超过 30000 欧元。如果免疫疗法仅在花粉季节高峰期有效,那么相对 ICER 会急剧上升。例如,在提前停药后没有临床获益的情况下,我们得到 SCIT 的 ICER 为 74770 欧元,而 SLIT 的 ICER 为 152110 欧元。SCIT 和 SLIT 之间的差距取决于对干预措施进行荟萃分析的模型。

结论

尽管有相当多的证据表明 SCIT 优于 SLIT,但我们不能说 SCIT 和 SLIT(或两者中的任何一种)都可以被认为是 ARC 的具有成本效益的治疗方法,因为缺少国家监管机构为药品设定的可靠成本效益阈值。此外,还需要进一步研究模型输入参数不确定性对我们结论可靠性的影响。

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