Literature DB >> 24046460

Computerized adventitious respiratory sounds as outcome measures for respiratory therapy: a systematic review.

Alda Marques1, Ana Oliveira, Cristina Jácome.   

Abstract

INTRODUCTION: There is a need to develop simple, noninvasive, and sensitive outcome measures for respiratory therapy. Adventitious respiratory sounds (ie, crackles and wheezes) can be objectively characterized with computerized respiratory sound analysis (CORSA) and have been shown to contribute for diagnosis purposes; however, their potential for use as outcome measures is unknown. Thus, this systematic review synthesizes the evidence on the use of computerized adventitious respiratory sounds as outcome measures.
METHODS: The Web of Knowledge, MEDLINE, EMBASE, and SCOPUS databases were searched. Reviewers independently selected studies according to the eligibility criteria. Effect sizes and 95% CIs were computed.
RESULTS: Twelve studies with different designs (observational, n = 3; quasi-experimental n = 7; and randomized controlled trial, n = 2) were included. Eight studies were conducted with adults, and 4 studies with children. Most studies explored only one type of adventitious respiratory sound. For wheezes, the occupation rate seemed to be the most promising parameter to be used as an outcome measure, with high/medium effect sizes (0.62-1.82). For crackles, the largest deflection width showed high effect sizes (1.31 and 1.04); however, this was explored in only one study. Crackle number and 2-cycle duration presented conflicting information, with high/poor effect sizes depending on the study.
CONCLUSIONS: Specific variables of each adventitious respiratory sound detected and characterized by CORSA showed high effect sizes and, thus, the potential to be used as outcome measures. Further research with robust study designs and larger samples (both of children and adult populations), and following CORSA guidelines is needed to build evidence-based knowledge on this topic.

Entities:  

Keywords:  adventitious respiratory sounds; computerized respiratory sound analysis; crackles; outcome measure; respiratory sounds; wheezes

Mesh:

Year:  2013        PMID: 24046460     DOI: 10.4187/respcare.02765

Source DB:  PubMed          Journal:  Respir Care        ISSN: 0020-1324            Impact factor:   2.258


  6 in total

1.  Validation of computerized wheeze detection in young infants during the first months of life.

Authors:  Lia C Puder; Hendrik S Fischer; Silke Wilitzki; Jakob Usemann; Simon Godfrey; Gerd Schmalisch
Journal:  BMC Pediatr       Date:  2014-10-09       Impact factor: 2.125

2.  Automatic Classification of Adventitious Respiratory Sounds: A (Un)Solved Problem?

Authors:  Bruno Machado Rocha; Diogo Pessoa; Alda Marques; Paulo Carvalho; Rui Pedro Paiva
Journal:  Sensors (Basel)       Date:  2020-12-24       Impact factor: 3.576

3.  A Machine-Learning Model for Lung Age Forecasting by Analyzing Exhalations.

Authors:  Marc Pifarré; Alberto Tena; Francisco Clarià; Francesc Solsona; Jordi Vilaplana; Arnau Benavides; Lluis Mas; Francesc Abella
Journal:  Sensors (Basel)       Date:  2022-02-01       Impact factor: 3.576

4.  Remote Analysis of Respiratory Sounds in Patients With COVID-19: Development of Fast Fourier Transform-Based Computer-Assisted Diagnostic Methods.

Authors:  Gregory Furman; Evgeny Furman; Artem Charushin; Valery Sheludko; Vladimir Sokolovsky; David Shtivelman; Ekaterina Eirikh; Sergey Malinin
Journal:  JMIR Form Res       Date:  2022-07-19

5.  Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1.

Authors:  Fu-Shun Hsu; Shang-Ran Huang; Chien-Wen Huang; Chao-Jung Huang; Yuan-Ren Cheng; Chun-Chieh Chen; Jack Hsiao; Chung-Wei Chen; Li-Chin Chen; Yen-Chun Lai; Bi-Fang Hsu; Nian-Jhen Lin; Wan-Ling Tsai; Yi-Lin Wu; Tzu-Ling Tseng; Ching-Ting Tseng; Yi-Tsun Chen; Feipei Lai
Journal:  PLoS One       Date:  2021-07-01       Impact factor: 3.240

6.  Lung Sounds in Children before and after Respiratory Physical Therapy for Right Middle Lobe Atelectasis.

Authors:  Satoshi Adachi; Hiroshi Nakano; Hiroshi Odajima; Chikako Motomura; Yukiko Yoshioka
Journal:  PLoS One       Date:  2016-09-09       Impact factor: 3.240

  6 in total

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