支气管激发试验中强迫呼气时采集的数字化肺音对气道高反应性的预测价值。

IF 2.7
Expert review of respiratory medicine Pub Date : 2025-05-01 Epub Date: 2025-04-03 DOI:10.1080/17476348.2025.2487690
Mengting Zhu, Qianwen Wang, Shibo Zhu, Limin Zhu, Dongyang Xu, Nan Hu, Like You, Shengsheng Cai, Yonghuai Li
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引用次数: 0

摘要

背景:本研究探讨支气管激发试验中强迫呼气肺音的声学特征及其对气道高反应性(AHR)的预测价值。研究设计和方法:受试者进行支气管激发试验,增加甲胆碱剂量(0.072-1.25 mg)。采用肺活量法测量第一秒用力呼气量(FEV1),以生理盐水前FEV1为基线。AHR定义为FEV1相对于基线下降≥20%。同时,从右下肺野记录肺音。从第一秒用力呼气声中提取35个声学特征,包括24个频谱参数、5个mel-frequency倒谱系数(MFCCs)和6个熵参数。通过相关分析、分组比较和逻辑回归来评估声学特征与AHR之间的关系。结果:17例AHR阳性。AHR与频谱参数降低(A1-A3, MFCC2-MFCC5)和频谱熵增加相关(p)。结论:呼吸音的声学特征可以预测AHR,为支气管刺激试验提供了一种潜在的无创替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The airway hyperresponsiveness prediction value of digitalized lung sound collected during forced expiration in bronchial provocation test.

Background: This study investigated the acoustic characteristics of forced expiratory lung sounds during bronchial provocation tests and their predictive value for airway hyperresponsiveness (AHR).

Research design and methods: Participants underwent a bronchial provocation test with incremental methacholine doses (0.072-1.25 mg). Forced expiratory volume in the first second (FEV1) was measured using spirometry, with pre-saline FEV1 as the baseline. AHR was defined as a ≥ 20% decline in FEV1%Ref (FEV1 relative to baseline). Simultaneously, lung sounds were recorded from the right lower lung field. Thirty-five acoustic features were extracted from the first-second forced expiratory lung sound, including 24 spectral parameters, 5 mel-frequency cepstral coefficients (MFCCs), and 6 entropy parameters. Correlation analysis, group comparisons, and logistic regression were conducted to assess the relationship between acoustic features and AHR.

Results: Seventeen patients tested positive for AHR. AHR was associated with decreased spectral parameters (A1-A3, MFCC2-MFCC5) and increased spectral entropy (p < 0.05). Logistic regression identified effective power (PT) and MFCC5 as independent predictors, yielding an AUC of 0.856 (95% CI: 0.769-0.944).

Conclusions: Acoustic features of breath sounds can predict AHR, offering a potential noninvasive alternative to bronchial challenge tests.

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