Lozano-García Manuel, Fiz José Antonio, Martínez-Rivera Carlos, Torrents Aurora, Ruiz-Manzano Juan, Jané Raimon
Biomedical Signal Processing and Interpretation Group, Institute for Bioengineering of Catalonia (IBEC), Barcelona, Spain.
Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain.
PLoS One. 2017 Feb 8;12(2):e0171455. doi: 10.1371/journal.pone.0171455. eCollection 2017.
A thorough analysis of continuous adventitious sounds (CAS) can provide distinct and complementary information about bronchodilator response (BDR), beyond that provided by spirometry. Nevertheless, previous approaches to CAS analysis were limited by certain methodology issues. The aim of this study is to propose a new integrated approach to CAS analysis that contributes to improving the assessment of BDR in clinical practice for asthma patients.
Respiratory sounds and flow were recorded in 25 subjects, including 7 asthma patients with positive BDR (BDR+), assessed by spirometry, 13 asthma patients with negative BDR (BDR-), and 5 controls. A total of 5149 acoustic components were characterized using the Hilbert spectrum, and used to train and validate a support vector machine classifier, which distinguished acoustic components corresponding to CAS from those corresponding to other sounds. Once the method was validated, BDR was assessed in all participants by CAS analysis, and compared to BDR assessed by spirometry.
BDR+ patients had a homogenous high change in the number of CAS after bronchodilation, which agreed with the positive BDR by spirometry, indicating high reversibility of airway obstruction. Nevertheless, we also found an appreciable change in the number of CAS in many BDR- patients, revealing alterations in airway obstruction that were not detected by spirometry. We propose a categorization for the change in the number of CAS, which allowed us to stratify BDR- patients into three consistent groups. From the 13 BDR- patients, 6 had a high response, similar to BDR+ patients, 4 had a noteworthy medium response, and 1 had a low response.
In this study, a new non-invasive and integrated approach to CAS analysis is proposed as a high-sensitive tool for assessing BDR in terms of acoustic parameters which, together with spirometry parameters, contribute to improving the stratification of BDR levels in patients with obstructive pulmonary diseases.
对持续性附加音(CAS)进行全面分析,能够提供有关支气管扩张剂反应(BDR)的独特且互补的信息,这是肺量计所无法提供的。然而,以往的CAS分析方法存在某些方法学问题。本研究的目的是提出一种新的CAS综合分析方法,以有助于改善哮喘患者临床实践中BDR的评估。
记录了25名受试者的呼吸音和气流,其中包括7名经肺量计评估BDR为阳性(BDR+)的哮喘患者、13名BDR为阴性(BDR-)的哮喘患者以及5名对照者。使用希尔伯特谱对总共5149个声学成分进行了特征描述,并用于训练和验证支持向量机分类器,该分类器可区分与CAS对应的声学成分和与其他声音对应的声学成分。该方法经验证后,通过CAS分析对所有参与者的BDR进行评估,并与通过肺量计评估的BDR进行比较。
BDR+患者支气管扩张后CAS数量有一致的显著变化,这与肺量计测得的BDR阳性结果相符,表明气道阻塞具有高可逆性。然而,我们还发现许多BDR-患者的CAS数量有明显变化,揭示了肺量计未检测到的气道阻塞改变。我们提出了一种CAS数量变化的分类方法,这使我们能够将BDR-患者分为三个一致的组。在13名BDR-患者中,6名有高反应,类似于BDR+患者,4名有显著的中等反应,1名有低反应。
在本研究中,提出了一种新的非侵入性CAS综合分析方法,作为一种高灵敏度工具,可根据声学参数评估BDR,这些参数与肺量计参数一起有助于改善阻塞性肺疾病患者BDR水平的分层。