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揭开婴儿多次呼吸冲洗黑匣子的奥秘。

Shedding light into the black box of infant multiple-breath washout.

作者信息

Oestreich Marc-Alexander, Wyler Florian, Latzin Philipp, Ramsey Kathryn A

机构信息

Pediatric Respiratory Medicine, Inselspital, University Children's Hospital of Bern, University of Bern, Bern, Switzerland.

Graduate School for Health Sciences, University of Bern, Bern, Switzerland.

出版信息

Pediatr Pulmonol. 2021 Aug;56(8):2642-2653. doi: 10.1002/ppul.25464. Epub 2021 May 25.

Abstract

BACKGROUND

Multiple-breath inert gas washout (MBW) is a sensitive technique to assess lung volumes and ventilation inhomogeneity in infancy. Poor agreement amongst commercially available setups and a lack of transparency in the underlying algorithms for the computation of infant MBW outcomes currently limit the widespread application of MBW as a surveillance tool in early lung disease.

METHODS

We determined all computational steps in signal processing and the calculation of MBW outcomes in the current infant WBreath/Exhalyzer D setup (Exhalyzer D device, Eco Medics AG; WBreath software version 3.28.0, ndd Medizintechnik AG; Switzerland). We developed a revised WBreath version based on current consensus guidelines and compared outcomes between the current (3.28.0) and revised (3.52.3) WBreath version. We analyzed 60 visits from 40 infants with cystic fibrosis (CF) and 20 healthy controls at 6 weeks and 1 year of age.

RESULTS

Investigation into the algorithms in WBreath 3.28.0 revealed discrepancies from current consensus guidelines, which resulted in a potential overestimation of functional residual capacity (FRC) and underestimation of lung clearance index (LCI). We developed a revised WBreath version (3.52.3), which overall resulted in 6.7% lower FRC (mean (SD) -1.78 (0.99) mL/kg) and 14.1% higher LCI (1.11 (0.57) TO) than WBreath version 3.28.0.

CONCLUSION

Comprehensive investigation into the signal processing and algorithms used for analysis of MBW measurements improves the transparency and robustness of infant MBW data. The revised software version calculates outcomes according to consensus guidelines. Future work is needed to validate and compare outcomes between infant MBW setups.

摘要

背景

多次呼吸惰性气体冲洗(MBW)是评估婴儿肺容积和通气不均匀性的一项敏感技术。目前,市售设备之间的一致性较差,且婴儿MBW结果计算的基础算法缺乏透明度,这限制了MBW作为早期肺部疾病监测工具的广泛应用。

方法

我们确定了当前婴儿WBreath/Exhalyzer D装置(Exhalyzer D设备,Eco Medics AG;WBreath软件版本3.28.0,ndd Medizintechnik AG;瑞士)中信号处理和MBW结果计算的所有计算步骤。我们根据当前的共识指南开发了一个修订版的WBreath,并比较了当前(3.28.0)和修订(3.52.3)版WBreath之间的结果。我们分析了40名囊性纤维化(CF)婴儿和20名健康对照在6周和1岁时的60次就诊情况。

结果

对WBreath 3.28.0算法的研究发现,其与当前共识指南存在差异,这可能导致功能残气量(FRC)被高估,肺清除指数(LCI)被低估。我们开发了一个修订版的WBreath(3.52.3),总体而言,与WBreath版本3.28.0相比,FRC降低了6.7%(平均(标准差)-1.78(0.99)mL/kg),LCI升高了14.1%(1.11(0.57)TO)。

结论

对用于分析MBW测量的信号处理和算法进行全面研究,可提高婴儿MBW数据的透明度和稳健性。修订后的软件版本根据共识指南计算结果。未来需要开展工作,以验证和比较婴儿MBW装置之间的结果。

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