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

BACKGROUND: Several respiratory diseases are associated with specific respiratory sounds. In contrast to auscultation, computerized lung sound analysis is objective and can be performed continuously over an extended period. Moreover, audio recordings can be stored. Computerized lung sounds have rare...

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Autores principales: Puder, Lia C, Fischer, Hendrik S, Wilitzki, Silke, Usemann, Jakob, Godfrey, Simon, Schmalisch, Gerd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287542/
https://www.ncbi.nlm.nih.gov/pubmed/25296955
http://dx.doi.org/10.1186/1471-2431-14-257
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author Puder, Lia C
Fischer, Hendrik S
Wilitzki, Silke
Usemann, Jakob
Godfrey, Simon
Schmalisch, Gerd
author_facet Puder, Lia C
Fischer, Hendrik S
Wilitzki, Silke
Usemann, Jakob
Godfrey, Simon
Schmalisch, Gerd
author_sort Puder, Lia C
collection PubMed
description BACKGROUND: Several respiratory diseases are associated with specific respiratory sounds. In contrast to auscultation, computerized lung sound analysis is objective and can be performed continuously over an extended period. Moreover, audio recordings can be stored. Computerized lung sounds have rarely been assessed in neonates during the first year of life. This study was designed to determine and validate optimal cut-off values for computerized wheeze detection, based on the assessment by trained clinicians of stored records of lung sounds, in infants aged <1 year. METHODS: Lung sounds in 120 sleeping infants, of median (interquartile range) postmenstrual age of 51 (44.5–67.5) weeks, were recorded on 144 test occasions by an automatic wheeze detection device (PulmoTrack®). The records were retrospectively evaluated by three trained clinicians blinded to the results. Optimal cut-off values for the automatically determined relative durations of inspiratory and expiratory wheezing were determined by receiver operating curve analysis, and sensitivity and specificity were calculated. RESULTS: The optimal cut-off values for the automatically detected durations of inspiratory and expiratory wheezing were 2% and 3%, respectively. These cutoffs had a sensitivity and specificity of 85.7% and 80.7%, respectively, for inspiratory wheezing and 84.6% and 82.5%, respectively, for expiratory wheezing. Inter-observer reliability among the experts was moderate, with a Fleiss’ Kappa (95% confidence interval) of 0.59 (0.57-0.62) for inspiratory and 0.54 (0.52 - 0.57) for expiratory wheezing. CONCLUSION: Computerized wheeze detection is feasible during the first year of life. This method is more objective and can be more readily standardized than subjective auscultation, providing quantitative and noninvasive information about the extent of wheezing.
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spelling pubmed-42875422015-01-10 Validation of computerized wheeze detection in young infants during the first months of life Puder, Lia C Fischer, Hendrik S Wilitzki, Silke Usemann, Jakob Godfrey, Simon Schmalisch, Gerd BMC Pediatr Research Article BACKGROUND: Several respiratory diseases are associated with specific respiratory sounds. In contrast to auscultation, computerized lung sound analysis is objective and can be performed continuously over an extended period. Moreover, audio recordings can be stored. Computerized lung sounds have rarely been assessed in neonates during the first year of life. This study was designed to determine and validate optimal cut-off values for computerized wheeze detection, based on the assessment by trained clinicians of stored records of lung sounds, in infants aged <1 year. METHODS: Lung sounds in 120 sleeping infants, of median (interquartile range) postmenstrual age of 51 (44.5–67.5) weeks, were recorded on 144 test occasions by an automatic wheeze detection device (PulmoTrack®). The records were retrospectively evaluated by three trained clinicians blinded to the results. Optimal cut-off values for the automatically determined relative durations of inspiratory and expiratory wheezing were determined by receiver operating curve analysis, and sensitivity and specificity were calculated. RESULTS: The optimal cut-off values for the automatically detected durations of inspiratory and expiratory wheezing were 2% and 3%, respectively. These cutoffs had a sensitivity and specificity of 85.7% and 80.7%, respectively, for inspiratory wheezing and 84.6% and 82.5%, respectively, for expiratory wheezing. Inter-observer reliability among the experts was moderate, with a Fleiss’ Kappa (95% confidence interval) of 0.59 (0.57-0.62) for inspiratory and 0.54 (0.52 - 0.57) for expiratory wheezing. CONCLUSION: Computerized wheeze detection is feasible during the first year of life. This method is more objective and can be more readily standardized than subjective auscultation, providing quantitative and noninvasive information about the extent of wheezing. BioMed Central 2014-10-09 /pmc/articles/PMC4287542/ /pubmed/25296955 http://dx.doi.org/10.1186/1471-2431-14-257 Text en © Puder et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Puder, Lia C
Fischer, Hendrik S
Wilitzki, Silke
Usemann, Jakob
Godfrey, Simon
Schmalisch, Gerd
Validation of computerized wheeze detection in young infants during the first months of life
title Validation of computerized wheeze detection in young infants during the first months of life
title_full Validation of computerized wheeze detection in young infants during the first months of life
title_fullStr Validation of computerized wheeze detection in young infants during the first months of life
title_full_unstemmed Validation of computerized wheeze detection in young infants during the first months of life
title_short Validation of computerized wheeze detection in young infants during the first months of life
title_sort validation of computerized wheeze detection in young infants during the first months of life
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287542/
https://www.ncbi.nlm.nih.gov/pubmed/25296955
http://dx.doi.org/10.1186/1471-2431-14-257
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