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使用呼出一氧化氮分数指导哮喘治疗:哮喘治疗算法研究的设计与方法学问题

Using fractional exhaled nitric oxide to guide asthma therapy: design and methodological issues for ASthma TReatment ALgorithm studies.

作者信息

Gibson P G

机构信息

Department of Respiratory and Sleep Medicine, Centre for Asthma and Respiratory Diseases, Hunter Medical Research Institute at John Hunter Hospital, University of Newcastle, Newcastle, Australia.

出版信息

Clin Exp Allergy. 2009 Apr;39(4):478-90. doi: 10.1111/j.1365-2222.2009.03226.x. Epub 2009 Feb 25.

Abstract

BACKGROUND

Current asthma guidelines recommend treatment based on the assessment of asthma control using symptoms and lung function. Noninvasive markers are an attractive way to modify therapy since they offer improved selection of active treatment(s) based on individual response, and improved titration of treatment using markers that are better related to treatment outcomes.

AIMS

To review the methodological and design features of noninvasive marker studies in asthma.

METHODS

Systematic assessment of published randomized trials of asthma therapy guided by fraction of exhaled nitric oxide(FENO).

RESULTS

FENO has appeal as a marker to adjust asthma therapy since it is readily measured, gives reproducible results, and is responsive to changes in inhaled corticosteroid doses. However, the five randomised trials of FENO guided therapy have had mixed results. This may be because there are specific design and methodological issues that need to be addressed in the conduct of ASthma TReatment ALgorithm(ASTRAL) studies. There needs to be a clear dose response relationship for the active drugs used and the outcomes measured. The algorithm decision points should be based on outcomes in the population of interest rather than the range of values in healthy people, and the algorithm used needs to provide a sufficiently different result to clinical decision making in order for there to be any discernible benefit. A new metric is required to assess the algorithm performance, and the discordance:concordance(DC) ratio can assist with this.

CONCLUSION

Incorporating these design features into future FENO studies should improve the study performance and aid in obtaining a better estimate of the value of FENO guided asthma therapy.

摘要

背景

当前哮喘指南建议根据症状和肺功能对哮喘控制情况的评估来进行治疗。非侵入性标志物是调整治疗方案的一种有吸引力的方法,因为它们能根据个体反应更好地选择有效治疗方法,并使用与治疗结果更相关的标志物来优化治疗剂量滴定。

目的

综述哮喘非侵入性标志物研究的方法学和设计特点。

方法

对已发表的以呼出一氧化氮分数(FENO)为指导的哮喘治疗随机试验进行系统评估。

结果

FENO作为调整哮喘治疗的标志物具有吸引力,因为它易于测量,结果可重复,并且对吸入性糖皮质激素剂量的变化有反应。然而,五项FENO指导治疗的随机试验结果不一。这可能是因为在哮喘治疗算法(ASTRAL)研究的开展过程中存在一些需要解决的特定设计和方法学问题。所用活性药物与所测量的结果之间需要有明确的剂量反应关系。算法决策点应基于目标人群的结果,而不是健康人的数值范围,并且所使用的算法需要提供与临床决策有足够差异的结果,以便能有任何可察觉的益处。需要一种新的指标来评估算法性能,不一致:一致(DC)比可对此提供帮助。

结论

将这些设计特点纳入未来的FENO研究中应能提高研究性能,并有助于更好地评估FENO指导的哮喘治疗的价值。

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