A Lung Sound Analysis in Infants with Risk Factors for Asthma During Acute Respiratory Infection

Ishizu, Hiroko; Shioya, Hiromi; Tadaki, Hiromi; Yamazaki, Fusae; Miyamoto, Manabu; Enseki, Mayumi; Tabata, Hideyuki; Niimura, Fumio; Furuya, Hiroyuki; Ito, Shuichi; Yoshihara, Shigemi; Mochizuki, Hiroyuki

doi:10.1089/ped.2019.1131

Cited by 3 publications

(7 citation statements)

References 29 publications

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“…These findings were similar to those of two previous reports concerning first‐visit infants in the healthy period 14 and after an ARI. 16 Of note, in the younger group, the values of spectrum curve indices (A 3 /A T , B 4 /A T , and RPF 75 ) of the infants with a history of asthma and/or asthmatic bronchitis (Question No. 7), atopic dermatitis (Question No.…”

Section: Discussionmentioning

confidence: 99%

“…One reason for this suspicion is that no relationships were noted between the presence of wheezing and atopy, as in the previous study. 16 While an age‐dependent difference does appear to exist, ≤12 months of atopy‐related sounds and >12 months of infection‐related sounds, the lack of any marked difference in the spectrum curve index values in the older group may be due to the number of subjects in the older group being too small. We speculate that these differences are dependent on pure bronchial constriction (the high‐pitched sound) 9 , 12 and the edema and/or remodeling in the bronchial wall and peri‐wall region due to airway inflammation (the middle‐pitched sound), but we lack any supporting evidence.…”

Section: Discussionmentioning

confidence: 99%

“…In an ongoing, multi‐institutional prospective study (Diagnosis of Infantile Asthma Using Lung Sound Analysis; DIAL) 14 , 16 conducted from 1 January 2012, to 31 March 2016, a total of 443 infants (mean age at the first visit, 9 months old; range, 3‐24 months old) who attended an infant health checkup at the National Hospital Organization Yokohama Medical Center, Isehara municipal clinic, Yamato Municipal Hospital, Dokkyo University School of Medicine and Uchida Iin Y Child Clinic. All parents agreed to participate in this study.…”

Section: Methodsmentioning

confidence: 99%

“…At the first visit, none of the subjects had wheezing on auscultation. According to our previous reports, 16 infants who had an acute respiratory infection (ARI) within the 7 days prior to their first visit were identified as infants with an ARI. As in a previous study, 16 since the proportion of subjects with and without an ARI varied significantly with age, we divided the subjects into two age groups.…”

Section: Methodsmentioning

confidence: 99%

“…According to our previous reports, 16 infants who had an acute respiratory infection (ARI) within the 7 days prior to their first visit were identified as infants with an ARI. As in a previous study, 16 since the proportion of subjects with and without an ARI varied significantly with age, we divided the subjects into two age groups. Subjects who were 3 to 24 months old at the first visit were evenly divided into two age groups based on the midline of the age (3‐12 and 13‐24 months old) for a stratified analysis (Table 1 ).…”

Section: Methodsmentioning

confidence: 99%

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Lung sound analysis in infants with risk factors for asthma development

Miyamoto

Yoshihara

Shioya

et al. 2021

Health Science Reports

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Background and objectives Using a lung sound analysis, the prognosis of asthma was investigated in infants with risk factors for asthma development by a long‐term observation. Methods A total of 268 infants were included (median age: 8 months old). The lung sound parameters (the ratio of the third and fourth area to the total area under the curve [A 3 /A T and B 4 /A T ], and the ratio of power and frequency at 50% and 75% of the highest frequency [RPF 50 and RPF 75 ]) were evaluated at the first visit. At 3 years old, using a questionnaire, we examined the relationship between the lung sound parameters and risk factors of asthma development. Results Among the 268 infants, 175 infants were in good health and 93 had a history of acute respiratory infection (ARI) within 7 days at the first visit. Among the 3‐ to 12‐month‐old infants with an ARI, the A 3 /A T , B 4 /A T values in those with a history of asthma/asthmatic bronchitis, atopic dermatitis, and atopy were smaller than in the infants without such histories. Among the 13‐ to 24‐month‐old infants with an ARI, the A 3 /A T and B 4 /A T values in those with a wheezing history were larger than in the infants without such a history. Conclusions The characteristics of the lung sounds in infants with risk factors for asthma development were demonstrated over long‐term follow‐up. Lung sound analyses may be useful for assessing the airway condition of infants.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

Lung sound analysis in infants with risk factors for asthma development

Miyamoto

Yoshihara

Shioya

et al. 2021

Health Science Reports

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Effects of COVID-19 pandemic–associated reduction in respiratory infections on infantile asthma development

Kaiga,

Miyamoto,

Matsushita

et al. 2024

Journal of Allergy and Clinical Immunology: Global

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The analysis of lung sounds in infants and children with a history of wheezing/asthma using an automatic procedure

Mochizuki,

Hirai,

Furuya

et al. 2024

BMC Pulm Med

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Background Lung sound analysis parameters have been reported to be useful biomarkers for evaluating airway condition. We developed an automatic lung sound analysis software program for infants and children based on lung sound spectral curves of frequency and power by leveraging machine learning (ML) technology. Methods To put this software program into clinical practice, in Study 1, the reliability and reproducibility of the software program using data from younger children were examined. In Study 2, the relationship between lung sound parameters and respiratory flow (L/s) was evaluated using data from older children. In Study 3, we conducted a survey using the ATS-DLD questionnaire to evaluate the clinical usefulness. The survey focused on the history of wheezing and allergies, among healthy 3-year-old infants, and then measured lung sounds. The clinical usefulness was evaluated by comparing the questionnaire results with the results of the new lung sound parameters. Results In Studies 1 and 2, the parameters of the new software program demonstrated excellent reproducibility and reliability, and were not affected by airflow (L/s). In Study 3, infants with a history of wheezing showed lower FAP 0 and RPF 75p ( p < 0.001 and p = 0.025, respectively) and higher PAP 0 ( p = 0.001) than healthy infants. Furthermore, infants with asthma/asthma-like bronchitis showed lower FAP 0 ( p = 0.002) and higher PAP 0 ( p = 0.001) than healthy infants. Conclusions Lung sound parameters obtained using the ML algorithm were able to accurately assess the respiratory condition of infants. These parameters are useful for the early detection and intervention of childhood asthma.

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A Lung Sound Analysis in Infants with Risk Factors for Asthma During Acute Respiratory Infection

Cited by 3 publications

References 29 publications

Lung sound analysis in infants with risk factors for asthma development

Lung sound analysis in infants with risk factors for asthma development

Effects of COVID-19 pandemic–associated reduction in respiratory infections on infantile asthma development

The analysis of lung sounds in infants and children with a history of wheezing/asthma using an automatic procedure

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