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Comparison of different analysis algorithms to calculate multiple-breath washout outcomes

机译:比较各种分析算法以计算多呼吸清除结果

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Lung clearance index (LCI) is the main outcome of the multiple-breath washout (MBW) test. Current recommendations for LCI acquisition are based on low-grade evidence. The aim of this study was to challenge those recommendations using alternative methods for LCI analysis.Nitrogen MBW measurements from school-aged children, 20 healthy controls, 20 with cystic fibrosis (CF) and 17 with primary ciliary dyskinesia (PCD), were analysed using 1) current algorithms (standard), 2) three alternative algorithms to detect with higher precision the end of MBW testing and 3) two alternative algorithms to determine exhaled tracer gas concentrations. LCI values, intra-test repeatability, and ability to discriminate between health and lung disease were compared between these methods.The analysis methods strongly influenced LCI (mean±sd overall differences (%) between standard and alternative analysis methods: ?4.9±5.7%; range: ?66–19%), but did not improve intra-test variability. Discrimination between health and disease was comparable as areas under the receiver operator curves were not greater than that from standard analysis.This study supports current recommendations for LCI calculation in children. Alternative methods influence LCI estimates and hamper comparability between MBW setups. Alternative algorithms, whenever used, should be carefully reported.Lung clearance index values are strongly affected by the algorithms used for the analysis http://ow.ly/h2Rs30ktPiN
机译:肺部清除指数(LCI)是多呼吸冲洗(MBW)测试的主要结果。 LCI收购的当前建议是基于低等证据。本研究的目的是使用替代方法进行LCI分析来挑战那些建议。分析了学龄儿童,20名健康对照者,20例囊性纤维化(CF)和17例原发性睫状运动障碍(PCD)的MBW值1)当前算法(标准),2)三种替代算法,以更高的精度检测MBW测试的结束,以及3)两种替代算法,确定呼出的示踪气体浓度。比较了这两种方法的LCI值,测试内重复性以及区分健康和肺部疾病的能力。分析方法对LCI的影响很大(标准分析方法与替代分析方法之间的均值±标准偏差总体差异(%):4.9±5.7% ;范围:?66–19%),但并没有改善测试内变异性。由于接收者操作员曲线下的面积不大于标准分析中的面积,因此健康和疾病之间的区别具有可比性。本研究支持儿童LCI计算的当前建议。替代方法会影响LCI估计并妨碍MBW设置之间的可比性。无论何时使用替代算法,都应仔细报告。肺清除指数值受分析所用算法的强烈影响

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