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Quantitative analysis of lung sounds for monitoring idiopathic pulmonary fibrosis: a prospective pilot study

Quantitative analysis of lung sounds for monitoring idiopathic pulmonary fibrosis: a prospective pilot study
Quantitative analysis of lung sounds for monitoring idiopathic pulmonary fibrosis: a prospective pilot study
To the Editor:
Accurate monitoring of disease progression in idiopathic pulmonary fibrosis (IPF) is crucial for predicting prognosis and optimising management, including the initiation of therapies, the appropriate timing of supportive care and the prompt referral for lung transplantation. While forced vital capacity (FVC) via spirometry has been accepted as the most feasible and reliable tool to assess the deterioration in these patients in clinical practice as well as in randomised controlled trials [1, 2], in recent years both visual evaluation and computer-based analysis of high-resolution computed tomography (HRCT) parenchymal patterns have been shown to correlate with disease severity based on FVC and predict outcome in several fibrotic lung diseases, including IPF [3–5]. Electronic stethoscopes, which permit digital recording of lung sounds, potentially represent a simple, noninvasive and reproducible tool for evaluating disease severity and progression in patients with IPF. Although computerised lung sound analysis can discriminate between crackles due to pulmonary fibrosis and those due to pneumonia or heart failure [6–8], the utility of lung sounds for monitoring the course of the disease in these patients is still unknown. We have recently identified that typical “Velcro-type” crackles are closely correlated with the extent of several HRCT features, suggesting that lung sounds might facilitate the early detection of fibrotic lung disease [9]. In this prospective pilot study, we evaluated the longitudinal change in acoustic features of lung sounds recorded from patients with IPF and validated such features by examining correlations with several clinical, physiological and radiological parameters
0903-1936
Sgalla, Giacomo
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Larici, Anna Rita
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Sverzellati, Nicola
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Sverzellati, Nicola
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Bartholmai, Brian
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Walsh, Simon
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Nikolic, Dragana
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Barney, Anna
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Fletcher, Sophie
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Jones, Mark
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Davies, Donna
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Richeldi, Luca
89f3b3b9-2dc9-4803-a190-3d4facabd8c2
et al.
Sgalla, Giacomo
f7c37658-a00c-4b08-8dea-fa90b279de79
Larici, Anna Rita
8666a4c2-256f-40e4-96c0-d90f644c767c
Sverzellati, Nicola
b56b20ba-f1b9-45fd-866d-635a76690cb8
Sverzellati, Nicola
e0b79247-a1c3-459f-a3f6-817b362bd7b6
Bartholmai, Brian
ddd07f03-8c2d-4355-a744-dd919d34dc7d
Walsh, Simon
c9045d05-ca20-4756-b110-f9e369ea9f8d
Nikolic, Dragana
772b3eb2-c994-440a-ab86-27e862bd39f7
Barney, Anna
bc0ee7f7-517a-4154-ab7d-57270de3e815
Fletcher, Sophie
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Jones, Mark
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Davies, Donna
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Richeldi, Luca
89f3b3b9-2dc9-4803-a190-3d4facabd8c2

Sgalla, Giacomo, Nikolic, Dragana, Barney, Anna, Jones, Mark and Davies, Donna , et al. (2019) Quantitative analysis of lung sounds for monitoring idiopathic pulmonary fibrosis: a prospective pilot study. European Respiratory Journal, 53 (3), [1802093]. (doi:10.1183/13993003.02093-2018).

Record type: Letter

Abstract

To the Editor:
Accurate monitoring of disease progression in idiopathic pulmonary fibrosis (IPF) is crucial for predicting prognosis and optimising management, including the initiation of therapies, the appropriate timing of supportive care and the prompt referral for lung transplantation. While forced vital capacity (FVC) via spirometry has been accepted as the most feasible and reliable tool to assess the deterioration in these patients in clinical practice as well as in randomised controlled trials [1, 2], in recent years both visual evaluation and computer-based analysis of high-resolution computed tomography (HRCT) parenchymal patterns have been shown to correlate with disease severity based on FVC and predict outcome in several fibrotic lung diseases, including IPF [3–5]. Electronic stethoscopes, which permit digital recording of lung sounds, potentially represent a simple, noninvasive and reproducible tool for evaluating disease severity and progression in patients with IPF. Although computerised lung sound analysis can discriminate between crackles due to pulmonary fibrosis and those due to pneumonia or heart failure [6–8], the utility of lung sounds for monitoring the course of the disease in these patients is still unknown. We have recently identified that typical “Velcro-type” crackles are closely correlated with the extent of several HRCT features, suggesting that lung sounds might facilitate the early detection of fibrotic lung disease [9]. In this prospective pilot study, we evaluated the longitudinal change in acoustic features of lung sounds recorded from patients with IPF and validated such features by examining correlations with several clinical, physiological and radiological parameters

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Accepted/In Press date: 15 November 2018
Published date: 7 March 2019

Identifiers

Local EPrints ID: 426172
URI: http://eprints.soton.ac.uk/id/eprint/426172
ISSN: 0903-1936
PURE UUID: a5917ffe-8b3d-4eda-ae29-49daf61a788b
ORCID for Dragana Nikolic: ORCID iD orcid.org/0000-0002-9925-4814
ORCID for Anna Barney: ORCID iD orcid.org/0000-0002-6034-1478
ORCID for Sophie Fletcher: ORCID iD orcid.org/0000-0002-5633-905X
ORCID for Mark Jones: ORCID iD orcid.org/0000-0001-6308-6014
ORCID for Donna Davies: ORCID iD orcid.org/0000-0002-5117-2991

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Date deposited: 16 Nov 2018 17:30
Last modified: 21 Sep 2024 04:01

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Contributors

Author: Giacomo Sgalla
Author: Anna Rita Larici
Author: Nicola Sverzellati
Author: Nicola Sverzellati
Author: Brian Bartholmai
Author: Simon Walsh
Author: Dragana Nikolic ORCID iD
Author: Anna Barney ORCID iD
Author: Sophie Fletcher ORCID iD
Author: Mark Jones ORCID iD
Author: Donna Davies ORCID iD
Author: Luca Richeldi
Corporate Author: et al.

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