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识别小儿肺部疾病:振荡技术检测结果的比较

Identifying pediatric lung disease: A comparison of forced oscillation technique outcomes.

机构信息

Telethon Kids Institute, Nedlands, Western Australia, Australia.

Division of Pediatrics, Faculty of Health and Medical Sciences, University of Western Australia, Nedlands, Perth, Western Australia, Australia.

出版信息

Pediatr Pulmonol. 2019 Jun;54(6):751-758. doi: 10.1002/ppul.24286. Epub 2019 Mar 18.

Abstract

RATIONALE

Increasing evidence suggests the forced oscillation technique (FOT) has the capacity to provide non-invasive monitoring and diagnosis of respiratory disease in young children. However, which FOT outcomes provide the most pertinent clinical information is currently unknown. The aim of this study was to determine which FOT outcomes were most sensitive for differentiating between health and specific childhood respiratory disease.

METHODS

Respiratory impedance was measured using a commercial device (i2M, Chess Medical, Belgium) in children aged between 3 and 7 years, who had been diagnosed with either cystic fibrosis (N = 84), asthma (N = 99) or were born very preterm (N = 114). Z-scores were calculated for respiratory system resistance (Rrs) and reactance (Xrs) at 6, 8, and 10 Hz, the resonance frequency (Fres), frequency dependence (Fdep ), and area under the reactance curve (AX). Pairwise comparisons of the area under the receiver operating characteristic (ROC) curve were used to determine the most relevant FOT variables.

RESULTS AND CONCLUSIONS

The FOT outcomes best able to discern between health and disease were Fres (P < 0.0001) in cystic fibrosis, Fres (P < 0.0001) in asthma and Xrs (P < 0.0001) in children born preterm. These findings suggest the utility of specific FOT outcomes is dependent on the respiratory disease being assessed. It is hoped that a disease-specific approach to interpreting FOT data can help further refine the FOT technique to aid in the diagnosis of children with pediatric respiratory disease.

摘要

原理

越来越多的证据表明,强迫振荡技术(FOT)有能力提供小儿呼吸系统疾病的非侵入性监测和诊断。然而,目前尚不清楚哪种 FOT 结果提供最相关的临床信息。本研究旨在确定哪些 FOT 结果最能区分健康和特定的儿童呼吸系统疾病。

方法

使用商业设备(i2M,Chess Medical,比利时)测量 3 至 7 岁儿童的呼吸阻抗,这些儿童被诊断为囊性纤维化(N=84)、哮喘(N=99)或早产儿(N=114)。计算了 6、8 和 10 Hz 时呼吸系统阻力(Rrs)和电抗(Xrs)的 Z 分数、共振频率(Fres)、频率依赖性(Fdep)和电抗曲线下面积(AX)。使用受试者工作特征(ROC)曲线下面积的成对比较来确定最相关的 FOT 变量。

结果和结论

最能区分健康和疾病的 FOT 结果是囊性纤维化中的 Fres(P<0.0001)、哮喘中的 Fres(P<0.0001)和早产儿中的 Xrs(P<0.0001)。这些发现表明,特定的 FOT 结果的实用性取决于正在评估的呼吸系统疾病。希望采用特定疾病的方法来解释 FOT 数据能够帮助进一步完善 FOT 技术,以帮助诊断患有儿科呼吸系统疾病的儿童。

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