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Sakama T, Ichinose M, Obara T, Shibata M, Kagawa T, Takakura H, Hirai K, Furuya H, Kato M, Mochizuki H. Effect of wheeze and lung function on lung sound parameters in children with asthma. Allergol Int 2023; 72:545-550. [PMID: 36935346 DOI: 10.1016/j.alit.2023.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/13/2023] [Accepted: 02/10/2023] [Indexed: 03/19/2023] Open
Abstract
BACKGROUND In children with asthma, there are many cases in which wheeze is confirmed by auscultation with a normal lung function, or in which the lung function is decreased without wheeze. Using an objective lung sound analysis, we examined the effect of wheeze and the lung function on lung sound parameters in children with asthma. METHODS A total of 114 children with asthma (males to females = 80: 34, median age 10 years old) were analyzed for their lung sound parameters using conventional methods, and wheeze and the lung function were checked. The effects of wheeze and the lung function on lung sound parameters were examined. RESULTS The patients with wheeze or decreased forced expiratory flow and volume in 1 s (FEV1) (% pred) showed a significantly higher sound power of respiration and expiration-to-inspiration sound power ratio (E/I) than those without wheeze and a normal FEV1 (% pred). There was no marked difference in the sound power of respiration or E/I between the patients without wheeze and a decreased FEV1 (% pred) and the patients with wheeze and a normal FEV1 (% pred). CONCLUSIONS Our data suggest that bronchial constriction in the asthmatic children with wheeze similarly exists in the asthmatic children with a decreased lung function. A lung sound analysis is likely to enable an accurate understanding of airway conditions.
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Affiliation(s)
- Takashi Sakama
- Department of Pediatrics, Tokai University Hachioji Hospital, Tokyo, Japan; Department of Pediatrics, Tokai University School of Medicine, Kanagawa, Japan
| | - Mami Ichinose
- Department of Pediatrics, Tokai University Hachioji Hospital, Tokyo, Japan; Department of Pediatrics, Tokai University School of Medicine, Kanagawa, Japan
| | - Takeru Obara
- Department of Pediatrics, Tokai University Hachioji Hospital, Tokyo, Japan; Department of Pediatrics, Tokai University School of Medicine, Kanagawa, Japan
| | - Mayuko Shibata
- Department of Pediatrics, Tokai University Hachioji Hospital, Tokyo, Japan; Department of Pediatrics, Tokai University School of Medicine, Kanagawa, Japan
| | - Takanori Kagawa
- Department of Pediatrics, Tokai University Hachioji Hospital, Tokyo, Japan; Department of Pediatrics, Tokai University School of Medicine, Kanagawa, Japan
| | - Hiromitsu Takakura
- Department of Pediatrics, Tokai University Hachioji Hospital, Tokyo, Japan; Department of Pediatrics, Tokai University School of Medicine, Kanagawa, Japan
| | - Kota Hirai
- Department of Pediatrics, Tokai University Hachioji Hospital, Tokyo, Japan; Department of Pediatrics, Tokai University School of Medicine, Kanagawa, Japan
| | - Hiroyuki Furuya
- Department of Basic Clinical Science and Public Health, Tokai University School of Medicine, Kanagawa, Japan
| | - Masahiko Kato
- Department of Pediatrics, Tokai University Hachioji Hospital, Tokyo, Japan; Department of Pediatrics, Tokai University School of Medicine, Kanagawa, Japan
| | - Hiroyuki Mochizuki
- Department of Pediatrics, Tokai University Hachioji Hospital, Tokyo, Japan; Department of Pediatrics, Tokai University School of Medicine, Kanagawa, Japan.
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Kuruma K, Otomo T, Sakama T, Akiyama K, Takakura H, Toyama D, Hirai K, Furuya H, Kato M, Mochizuki H. Breath sound analyses of infants with respiratory syncytial virus acute bronchiolitis. Pediatr Pulmonol 2022; 57:2320-2326. [PMID: 35670233 DOI: 10.1002/ppul.26034] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/02/2022] [Accepted: 06/06/2022] [Indexed: 11/11/2022]
Abstract
INTRODUCTION The reliability of a breath sound analysis using an objective method in infants has been reported. OBJECTIVE Breath sounds of infants with respiratory syncytial virus (RSV) acute bronchiolitis were analyzed via a breath sound spectrogram to evaluate their characteristics and examine their relationship with the severity. SUBJECTS AND METHODS We evaluated the inspiratory and expiratory breath sound parameters of 33 infants diagnosed with RSV acute bronchiolitis. The sound powers of inspiration and expiration were evaluated at the acute phase and recovery phase of infection. Furthermore, the relationship between the breath sound parameters and the clinical severity of acute bronchiolitis was examined. RESULTS Analyses of the breath sound spectrogram showed that the power of expiration as well as the expiration-to-inspiration sound ratio in the mid-frequency (E/I MF) was increased in the acute phase and decreased during the recovery phase. The E/I MF was inversely correlated with the SpO2 and positively correlated with the severity score. CONCLUSION In infants with RSV acute bronchiolitis, the sound power of respiration was large at the acute phase, significantly decreasing in the recovery phase. In 61% of participants, nonuniform, granular bands were shown in the low-pitched region of the expiratory spectrogram.
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Affiliation(s)
- Kenta Kuruma
- Department of Pediatrics, Tokai University Hachioji Hospital, Hachioji, Tokyo, Japan.,Tokyo Metropolitan Children's Medical Center, Fuchu, Japan
| | - Tomofumi Otomo
- Department of Pediatrics, Tokai University Hachioji Hospital, Hachioji, Tokyo, Japan.,Department of Pediatrics, Tokai University School of Medicine, Tokyo, Japan
| | - Takashi Sakama
- Department of Pediatrics, Tokai University Hachioji Hospital, Hachioji, Tokyo, Japan.,Department of Pediatrics, Tokai University School of Medicine, Tokyo, Japan
| | - Kosuke Akiyama
- Department of Pediatrics, Tokai University Hachioji Hospital, Hachioji, Tokyo, Japan.,Department of Pediatrics, Tokai University School of Medicine, Tokyo, Japan
| | - Hiromitsu Takakura
- Department of Pediatrics, Tokai University Hachioji Hospital, Hachioji, Tokyo, Japan.,Department of Pediatrics, Tokai University School of Medicine, Tokyo, Japan
| | - Daisuke Toyama
- Department of Pediatrics, Tokai University Hachioji Hospital, Hachioji, Tokyo, Japan.,Department of Pediatrics, Tokai University School of Medicine, Tokyo, Japan
| | - Kota Hirai
- Department of Pediatrics, Tokai University Hachioji Hospital, Hachioji, Tokyo, Japan.,Department of Pediatrics, Tokai University School of Medicine, Tokyo, Japan
| | - Hiroyuki Furuya
- Department of Basic Clinical Science and Public Health, Tokai University School of Medicine, Tokyo, Japan
| | - Masahiko Kato
- Department of Pediatrics, Tokai University Hachioji Hospital, Hachioji, Tokyo, Japan.,Department of Pediatrics, Tokai University School of Medicine, Tokyo, Japan
| | - Hiroyuki Mochizuki
- Department of Pediatrics, Tokai University Hachioji Hospital, Hachioji, Tokyo, Japan.,Department of Pediatrics, Tokai University School of Medicine, Tokyo, Japan
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Zhang J, Wang HS, Zhou HY, Dong B, Zhang L, Zhang F, Liu SJ, Wu YF, Yuan SH, Tang MY, Dong WF, Lin J, Chen M, Tong X, Zhao LB, Yin Y. Real-World Verification of Artificial Intelligence Algorithm-Assisted Auscultation of Breath Sounds in Children. Front Pediatr 2021; 9:627337. [PMID: 33834010 PMCID: PMC8023046 DOI: 10.3389/fped.2021.627337] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 02/12/2021] [Indexed: 11/20/2022] Open
Abstract
Objective: Lung auscultation plays an important role in the diagnosis of pulmonary diseases in children. The objective of this study was to evaluate the use of an artificial intelligence (AI) algorithm for the detection of breath sounds in a real clinical environment among children with pulmonary diseases. Method: The auscultations of breath sounds were collected in the respiratory department of Shanghai Children's Medical Center (SCMC) by using an electronic stethoscope. The discrimination results for all chest locations with respect to a gold standard (GS) established by 2 experienced pediatric pulmonologists from SCMC and 6 general pediatricians were recorded. The accuracy, sensitivity, specificity, precision, and F1-score of the AI algorithm and general pediatricians with respect to the GS were evaluated. Meanwhile, the performance of the AI algorithm for different patient ages and recording locations was evaluated. Result: A total of 112 hospitalized children with pulmonary diseases were recruited for the study from May to December 2019. A total of 672 breath sounds were collected, and 627 (93.3%) breath sounds, including 159 crackles (23.1%), 264 wheeze (38.4%), and 264 normal breath sounds (38.4%), were fully analyzed by the AI algorithm. The accuracy of the detection of adventitious breath sounds by the AI algorithm and general pediatricians with respect to the GS were 77.7% and 59.9% (p < 0.001), respectively. The sensitivity, specificity, and F1-score in the detection of crackles and wheeze from the AI algorithm were higher than those from the general pediatricians (crackles 81.1 vs. 47.8%, 94.1 vs. 77.1%, and 80.9 vs. 42.74%, respectively; wheeze 86.4 vs. 82.2%, 83.0 vs. 72.1%, and 80.9 vs. 72.5%, respectively; p < 0.001). Performance varied according to the age of the patient, with patients younger than 12 months yielding the highest accuracy (81.3%, p < 0.001) among the age groups. Conclusion: In a real clinical environment, children's breath sounds were collected and transmitted remotely by an electronic stethoscope; these breath sounds could be recognized by both pediatricians and an AI algorithm. The ability of the AI algorithm to analyze adventitious breath sounds was better than that of the general pediatricians.
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Affiliation(s)
- Jing Zhang
- Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Han-Song Wang
- Paediatric AI Clinical Application and Research Center, Shanghai Children's Medical Center, Shanghai, China.,Child Health Advocacy Institute, China Hospital Development Institute of Shanghai Jiao Tong University, Shanghai, China
| | | | - Bin Dong
- Paediatric AI Clinical Application and Research Center, Shanghai Children's Medical Center, Shanghai, China
| | - Lei Zhang
- Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fen Zhang
- Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shi-Jian Liu
- Paediatric AI Clinical Application and Research Center, Shanghai Children's Medical Center, Shanghai, China
| | - Yu-Fen Wu
- Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shu-Hua Yuan
- Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ming-Yu Tang
- Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen-Fang Dong
- Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Lin
- Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ming Chen
- Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xing Tong
- Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lie-Bin Zhao
- Paediatric AI Clinical Application and Research Center, Shanghai Children's Medical Center, Shanghai, China.,Child Health Advocacy Institute, China Hospital Development Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yong Yin
- Department of Respiratory Medicine, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Adachi T, Kainuma K, Asano K, Amagai M, Arai H, Ishii KJ, Ito K, Uchio E, Ebisawa M, Okano M, Kabashima K, Kondo K, Konno S, Saeki H, Sonobe M, Nagao M, Hizawa N, Fukushima A, Fujieda S, Matsumoto K, Morita H, Yamamoto K, Yoshimoto A, Tamari M. Strategic Outlook toward 2030: Japan's research for allergy and immunology - Secondary publication. Allergol Int 2020; 69:561-570. [PMID: 32600925 DOI: 10.1016/j.alit.2020.04.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 04/09/2020] [Indexed: 12/17/2022] Open
Abstract
Strategic Outlook toward 2030: Japan's Research for Allergy and Immunology (Strategy 2030) is the national research strategy based on Japan's Basic Law on Measures Against Allergic Diseases, a first of its kind worldwide. This strategy was established by a multi-disciplinary committee consisting of administrators of the Ministry of Health, Labour and Welfare of Japan, young and senior experts from various research societies and associations, and representatives of patient and public groups. Whereas the issues of transition, integration, and international collaboration have yet to be solved in this research realm in Japan, identification of unmet needs, digitization of information and transparent procedures, and strategic planning for complex problems (a process dubbed MIERUKA by the Toyota Way) are crucial to share and tackle the same vision and goals. The committee developed three specific actions focusing on preemptive treatment, interdisciplinarity and internationality, and life stage. The real success of Strategy 2030 is made by the spontaneous contributions of doctors, dentists, veterinarians, and other medical professionals; basic and clinical research scientists, research supporters, and pharmaceutical/medical device companies; manufacturers of food, healthcare, and home appliances; and patients, their families, and the public. The hope is to establish a stable society in which people can live long, healthy lives, as free as possible from allergic and immunological diseases, at each individual life stage. This article is based on a Japanese review first reported in Arerugi, introduces the developmental process and details of Strategy 2030.
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Affiliation(s)
- Takeya Adachi
- Japan Agency for Medical Research and Development (AMED), Tokyo, Japan; International Human Frontier Science Program Organization (HFSPO), Strasbourg, France; CNRS UPR 3572, Institut de Biologie Moléculaire et Cellulaire (IBMC), Université de Strasbourg, Strasbourg, France.
| | - Keigo Kainuma
- Institute for Clinical Research, National Hospital Organization, Mie National Hospital, Mie, Japan
| | - Koichiro Asano
- Division of Pulmonary Medicine, Department of Medicine, Tokai University, School of Medicine, Kanagawa, Japan
| | - Masayuki Amagai
- Department of Dermatology, Keio University School of Medicine, Tokyo, Japan
| | - Hiroyuki Arai
- Pharmaceuticals and Medical Devices Agency (PMDA), Tokyo, Japan
| | - Ken J Ishii
- Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Komei Ito
- Department of Allergy, Aichi Children's Health and Medical Center, Aichi, Japan
| | - Eiichi Uchio
- Department of Ophthalmology, Fukuoka University School of Medicine, Fukuoka, Japan
| | - Motohiro Ebisawa
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization, Sagamihara National Hospital, Kanagawa, Japan
| | - Mitsuhiro Okano
- Department of Otorhinolaryngology, International University of Health and Welfare School of Medicine, Chiba, Japan
| | - Kenji Kabashima
- Department of Dermatology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Kenji Kondo
- Department of Otolaryngology and Head and Neck Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Satoshi Konno
- Department of Respiratory Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Hokkaido, Japan
| | - Hidehisa Saeki
- Department of Cutaneous and Mucosal Pathophysiology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan
| | - Mariko Sonobe
- Japanese Mother's Society for Allergy Care (JMSAC), Kanagawa, Japan
| | - Mizuho Nagao
- Institute for Clinical Research, National Hospital Organization, Mie National Hospital, Mie, Japan
| | - Nobuyuki Hizawa
- Division of Respiratory Medicine, Institute of Clinical Medicine, University of Tsukuba, Ibaraki, Japan
| | | | - Shigeharu Fujieda
- Department of Otorhinolaryngology-Head and Neck Surgery, School of Medicine, University of Fukui, Fukui, Japan
| | - Kenji Matsumoto
- Department of Allergy and Clinical Immunology, National Research Institute for Child Health and Development, Tokyo, Japan
| | - Hideaki Morita
- Department of Allergy and Clinical Immunology, National Research Institute for Child Health and Development, Tokyo, Japan
| | - Kazuhiko Yamamoto
- Center for Integrative Medical Sciences, The Institute of Physical and Chemical Research (RIKEN), Kanagawa, Japan
| | | | - Mayumi Tamari
- Division of Molecular Genetics, The Jikei University School of Medicine, Research Center for Medical Science, Tokyo, Japan.
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