Literature DB >> 35731457

Quantification of respiratory sounds by a continuous monitoring system can be used to predict complications after extubation: a pilot study.

Kazuya Kikutani1, Shinichiro Ohshimo2, Takuma Sadamori1, Shingo Ohki1, Hiroshi Giga1, Junki Ishii1, Hiromi Miyoshi1, Kohei Ota1, Mitsuaki Nishikimi1, Nobuaki Shime1.   

Abstract

To show that quantification of abnormal respiratory sounds by our developed device is useful for predicting respiratory failure and airway problems after extubation. A respiratory sound monitoring system was used to collect respiratory sounds in patients undergoing extubation. The recorded respiratory sounds were subsequently analyzed. We defined the composite poor outcome as requiring any of following medical interventions within 48 h as defined below. This composite outcome includes reintubation, surgical airway management, insertion of airway devices, unscheduled use of noninvasive ventilation or high-flow nasal cannula, unscheduled use of inhaled medications, suctioning of sputum by bronchoscopy and unscheduled imaging studies. The quantitative values (QV) for each abnormal respiratory sound and inspiratory sound volume were compared between composite outcome groups and non-outcome groups. Fifty-seven patients were included in this study. The composite outcome occurred in 18 patients. For neck sounds, the QVs of stridor and rhonchi were significantly higher in the outcome group vs the non-outcome group. For anterior thoracic sounds, the QVs of wheezes, rhonchi, and coarse crackles were significantly higher in the outcome group vs the non-outcome group. For bilateral lateral thoracic sounds, the QV of fine crackles was significantly higher in the outcome group vs the non-outcome group. Cervical inspiratory sounds volume (average of five breaths) immediately after extubation was significantly louder in the outcome group vs non-outcome group (63.3 dB vs 54.3 dB, respectively; p < 0.001). Quantification of abnormal respiratory sounds and respiratory volume may predict respiratory failure and airway problems after extubation.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Airway extubation; Auscultation; Intensive care unit; Respiratory insufficiency; Respiratory sound

Year:  2022        PMID: 35731457     DOI: 10.1007/s10877-022-00884-4

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  24 in total

1.  A breath sound analysis in children with cough variant asthma.

Authors:  Mayumi Enseki; Mariko Nukaga; Hiromi Tadaki; Hideyuki Tabata; Kota Hirai; Masahiko Kato; Hiroyuki Mochizuki
Journal:  Allergol Int       Date:  2018-05-29       Impact factor: 5.836

2.  Characterization and classification of asthmatic wheeze sounds according to severity level using spectral integrated features.

Authors:  Fizza Ghulam Nabi; Kenneth Sundaraj; Chee Kiang Lam; Rajkumar Palaniappan
Journal:  Comput Biol Med       Date:  2018-11-02       Impact factor: 4.589

3.  Noninvasive ventilation to prevent respiratory failure after extubation in high-risk patients.

Authors:  Stefano Nava; Cesare Gregoretti; Francesco Fanfulla; Enzo Squadrone; Mario Grassi; Annalisa Carlucci; Fabio Beltrame; Paolo Navalesi
Journal:  Crit Care Med       Date:  2005-11       Impact factor: 7.598

4.  Acoustic analysis of neonatal breath sounds using digital stethoscope technology.

Authors:  Lindsay Zhou; Faezeh Marzbanrad; Ashwin Ramanathan; Davood Fattahi; Pramodkumar Pharande; Atul Malhotra
Journal:  Pediatr Pulmonol       Date:  2020-01-09

5.  Effect of Postextubation High-Flow Nasal Cannula vs Conventional Oxygen Therapy on Reintubation in Low-Risk Patients: A Randomized Clinical Trial.

Authors:  Gonzalo Hernández; Concepción Vaquero; Paloma González; Carles Subira; Fernando Frutos-Vivar; Gemma Rialp; Cesar Laborda; Laura Colinas; Rafael Cuena; Rafael Fernández
Journal:  JAMA       Date:  2016-04-05       Impact factor: 56.272

Review 6.  The decision to extubate in the intensive care unit.

Authors:  Arnaud W Thille; Jean-Christophe M Richard; Laurent Brochard
Journal:  Am J Respir Crit Care Med       Date:  2013-06-15       Impact factor: 21.405

7.  Assessment of breath sounds at birth using digital stethoscope technology.

Authors:  Ashwin Ramanathan; Faezeh Marzbanrad; Kenneth Tan; Fatema-Tuz Zohra; Mathieu Acchiardi; Robert Roseby; Ajay Kevat; Atul Malhotra
Journal:  Eur J Pediatr       Date:  2020-01-06       Impact factor: 3.183

8.  A novel system that continuously visualizes and analyzes respiratory sounds to promptly evaluate upper airway abnormalities: a pilot study.

Authors:  Kazuya Kikutani; Shinichiro Ohshimo; Takuma Sadamori; Hiroshi Giga; Shingo Ohki; Tsubasa Nishida; Satoshi Yamaga; Nobuaki Shime
Journal:  J Clin Monit Comput       Date:  2021-01-18       Impact factor: 2.502

Review 9.  Automatic adventitious respiratory sound analysis: A systematic review.

Authors:  Renard Xaviero Adhi Pramono; Stuart Bowyer; Esther Rodriguez-Villegas
Journal:  PLoS One       Date:  2017-05-26       Impact factor: 3.240

10.  The accuracy of lung auscultation in the practice of physicians and medical students.

Authors:  Honorata Hafke-Dys; Anna Bręborowicz; Paweł Kleka; Jędrzej Kociński; Adam Biniakowski
Journal:  PLoS One       Date:  2019-08-12       Impact factor: 3.240

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