Procedures to improve the repeatability of forced oscillation measurements in school-aged children

被引:29
|
作者
Robinson, Paul D. [1 ,2 ,3 ]
Turner, Martin [1 ]
Brown, Nathan J. [1 ]
Salome, Cheryl [1 ]
Berend, Norbert [1 ]
Marks, Guy B. [1 ]
King, Greg G. [1 ,4 ,5 ]
机构
[1] Woolcock Inst Med Res, Sydney, NSW, Australia
[2] Childrens Hosp, Dept Resp Med, Westmead, NSW, Australia
[3] Univ Sydney, Childrens Hosp Westmead, Sch Clin, Discipline Paediat & Child Hlth,Fac Med, Sydney, NSW 2006, Australia
[4] Royal N Shore Hosp, No Clin Sch, St Leonards, NSW 2065, Australia
[5] Royal N Shore Hosp, Dept Resp Med, St Leonards, NSW 2065, Australia
基金
澳大利亚研究理事会; 澳大利亚国家健康与医学研究理事会;
关键词
Oscillometry; Data filtering; Respiratory system resistance; Respiratory system reactance; RESPIRATORY IMPEDANCE; AIRWAY DISTENSIBILITY; RESISTANCE; HEALTHY; CHALLENGE; MECHANICS; ASTHMA; FLOW;
D O I
10.1016/j.resp.2011.02.004
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
Forced oscillation technique (FOT) parameters are less repeatable than spirometry, and the impact of technical factors, such as data acquisition and data filtering, are unknown. FOT was performed, in triplicate, on 48 children (8-11 years) and repeated two weeks later. We examined the separate effects of monitoring tidal volume (V-T) prior to measurement and length of data acquisition on measurement repeatability. We compared the effects on repeatability of a filtering technique in which complete breaths containing respiratory artefact were rejected and statistical filters in which outlying data points were rejected. Within- and between-session repeatability of respiratory system resistance (Rrs) and reactance (Xrs) were assessed using coefficient of variation (CV) and intra-class correlation coefficient (ICC). Longer data acquisition reduced CV of Rrs and Xrs (60 s vs. shorter durations, p <= 0.001). Monitoring V-T reduced CV of Rrs (p = 0.05). Complete breath filtering improved CV and ICC for both Rrs and Xrs. The repeatability of FOT measurements can be improved by optimising data acquisition and filtering. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:199 / 206
页数:8
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