Literature DB >> 33459947

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

Kazuya Kikutani1, Shinichiro Ohshimo2, Takuma Sadamori1, Hiroshi Giga1, Shingo Ohki1, Tsubasa Nishida1, Satoshi Yamaga1, Nobuaki Shime1.   

Abstract

Although respiratory sounds are useful indicators for evaluating abnormalities of the upper airway and lungs, the accuracy of their evaluation may be limited. The continuous evaluation and visualization of respiratory sounds has so far been impossible. To resolve these problems, we developed a novel continuous visualization system for assessing respiratory sounds. Our novel system was used to evaluate respiratory abnormalities in two patients. The results were not known until later. The first patient was a 23-year-old man with chronic granulomatous disease and persistent anorexia. During his hospital stay, he exhibited a consciousness disorder, bradypnea, and hypercapnia requiring tracheal intubation. After the administration of muscle relaxant, he suddenly developed acute airway stenosis. Because we could not intubate and ventilate, we performed cricothyroidotomy. Subsequent review of our novel system revealed mild stridor before the onset of acute airway stenosis, which had not been recognized clinically. The second patient was a 74-year-old woman who had been intubated several days earlier for tracheal burn injury, and was extubated after alleviation of her laryngeal edema. After extubation, she gradually developed inspiratory stridor. We re-intubated her after diagnosing post-extubation laryngeal edema. Subsequent review of our novel system revealed serially increased stridor after the extubation, at an earlier time than was recognized by healthcare providers. This unique continuous monitoring and visualization system for respiratory sounds could be an objective tool for improving patient safety regarding airway complications.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.

Entities:  

Keywords:  Airway; Laryngeal edema; Monitoring; Respiratory sounds

Mesh:

Year:  2021        PMID: 33459947     DOI: 10.1007/s10877-020-00641-5

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


  9 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.  A multi-channel acoustics monitor for perioperative respiratory monitoring: preliminary data.

Authors:  Kamal Jafarian; Majid Amineslami; Kamran Hassani; Mahdi Navidbakhsh; Mohammad Niakan Lahiji; D John Doyle
Journal:  J Clin Monit Comput       Date:  2015-04-14       Impact factor: 2.502

3.  Spectrogram for childhood asthma detection and analysis.

Authors:  Ho-Chang Kuo; Chi-Chun Lo; Yan-Di Wang; Jheng-Dao Wu; Bor-Shyh Lin
Journal:  Allergy       Date:  2019-04-15       Impact factor: 13.146

4.  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

5.  Tracheal Sound Analysis Using a Deep Neural Network to Detect Sleep Apnea.

Authors:  Hiroshi Nakano; Tomokazu Furukawa; Takeshi Tanigawa
Journal:  J Clin Sleep Med       Date:  2019-08-15       Impact factor: 4.062

6.  A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy.

Authors:  Hong Li; Mingyong Liu; Kun Liu; Feihu Zhang
Journal:  Sensors (Basel)       Date:  2017-12-25       Impact factor: 3.576

Review 7.  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

8.  Cardio-Respiratory Monitoring in Archery Using a Smart Textile Based on Flexible Fiber Bragg Grating Sensors.

Authors:  Daniela Lo Presti; Chiara Romano; Carlo Massaroni; Jessica D'Abbraccio; Luca Massari; Michele Arturo Caponero; Calogero Maria Oddo; Domenico Formica; Emiliano Schena
Journal:  Sensors (Basel)       Date:  2019-08-17       Impact factor: 3.576

9.  Respiratory sound analysis in the era of evidence-based medicine and the world of medicine 2.0.

Authors:  E Andrès; R Gass; A Charloux; C Brandt; A Hentzler
Journal:  J Med Life       Date:  2018 Apr-Jun
  9 in total
  2 in total

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

Authors:  Kazuya Kikutani; Shinichiro Ohshimo; Takuma Sadamori; Shingo Ohki; Hiroshi Giga; Junki Ishii; Hiromi Miyoshi; Kohei Ota; Mitsuaki Nishikimi; Nobuaki Shime
Journal:  J Clin Monit Comput       Date:  2022-06-22       Impact factor: 2.502

2.  Regional respiratory sound abnormalities in pneumothorax and pleural effusion detected via respiratory sound visualization and quantification: case report.

Authors:  Kazuya Kikutani; Shinichiro Ohshimo; Takuma Sadamori; Shingo Ohki; Hiroshi Giga; Junki Ishii; Hiromi Miyoshi; Kohei Ota; Nobuaki Shime
Journal:  J Clin Monit Comput       Date:  2022-02-11       Impact factor: 2.502

  2 in total

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