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Swallowing sound evaluation using an electronic stethoscope and artificial intelligence analysis for patients with amyotrophic lateral sclerosis

BACKGROUND AND PURPOSE: Non-invasive, simple, and repetitive swallowing evaluation is required to prevent aspiration pneumonia in neurological care. We investigated the usefulness of swallowing sound evaluation in patients with amyotrophic lateral sclerosis (ALS) using our new electronic stethoscope...

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Autores principales: Nakamori, Masahiro, Ishikawa, Ruoyi, Watanabe, Tomoaki, Toko, Megumi, Naito, Hiroyuki, Takahashi, Tamayo, Simizu, Yoshitaka, Yamazaki, Yu, Maruyama, Hirofumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435850/
https://www.ncbi.nlm.nih.gov/pubmed/37602264
http://dx.doi.org/10.3389/fneur.2023.1212024
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author Nakamori, Masahiro
Ishikawa, Ruoyi
Watanabe, Tomoaki
Toko, Megumi
Naito, Hiroyuki
Takahashi, Tamayo
Simizu, Yoshitaka
Yamazaki, Yu
Maruyama, Hirofumi
author_facet Nakamori, Masahiro
Ishikawa, Ruoyi
Watanabe, Tomoaki
Toko, Megumi
Naito, Hiroyuki
Takahashi, Tamayo
Simizu, Yoshitaka
Yamazaki, Yu
Maruyama, Hirofumi
author_sort Nakamori, Masahiro
collection PubMed
description BACKGROUND AND PURPOSE: Non-invasive, simple, and repetitive swallowing evaluation is required to prevent aspiration pneumonia in neurological care. We investigated the usefulness of swallowing sound evaluation in patients with amyotrophic lateral sclerosis (ALS) using our new electronic stethoscope artificial intelligence (AI) analysis tool. METHODS: We studied patients with ALS who provided written informed consent. We used an electronic stethoscope, placed a Bluetooth-enabled electronic stethoscope on the upper end of the sternum, performed a 3-mL water swallow three times, and remotely identified the intermittent sound components of the water flow caused at that time by AI, with the maximum value as the swallowing sound index. We examined the correlation between the swallowing sound index and patient background, including swallowing-related parameters. RESULTS: We evaluated 24 patients with ALS (age 64.0 ± 11.8 years, 13 women, median duration of illness 17.5 months). The median ALS Functional Rating Scale-Revised (ALSFRS-R) score was 41 (minimum 18, maximum 47). In all cases, the mean swallowing sound index was 0.209 ± 0.088. A multivariate analysis showed that a decrease in the swallowing sound index was significantly associated with a low ALSFRS-R score, an ALSFRS-R bulbar symptom score, % vital capacity, tongue pressure, a Mann Assessment of Swallowing Ability (MASA) score, and a MASA pharyngeal phase-related score. CONCLUSION: Swallowing sound evaluation using an electronic stethoscope AI analysis showed a correlation with existing indicators in swallowing evaluation in ALS and suggested its usefulness as a new method. This is expected to be a useful examination method in home and remote medical care.
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spelling pubmed-104358502023-08-19 Swallowing sound evaluation using an electronic stethoscope and artificial intelligence analysis for patients with amyotrophic lateral sclerosis Nakamori, Masahiro Ishikawa, Ruoyi Watanabe, Tomoaki Toko, Megumi Naito, Hiroyuki Takahashi, Tamayo Simizu, Yoshitaka Yamazaki, Yu Maruyama, Hirofumi Front Neurol Neurology BACKGROUND AND PURPOSE: Non-invasive, simple, and repetitive swallowing evaluation is required to prevent aspiration pneumonia in neurological care. We investigated the usefulness of swallowing sound evaluation in patients with amyotrophic lateral sclerosis (ALS) using our new electronic stethoscope artificial intelligence (AI) analysis tool. METHODS: We studied patients with ALS who provided written informed consent. We used an electronic stethoscope, placed a Bluetooth-enabled electronic stethoscope on the upper end of the sternum, performed a 3-mL water swallow three times, and remotely identified the intermittent sound components of the water flow caused at that time by AI, with the maximum value as the swallowing sound index. We examined the correlation between the swallowing sound index and patient background, including swallowing-related parameters. RESULTS: We evaluated 24 patients with ALS (age 64.0 ± 11.8 years, 13 women, median duration of illness 17.5 months). The median ALS Functional Rating Scale-Revised (ALSFRS-R) score was 41 (minimum 18, maximum 47). In all cases, the mean swallowing sound index was 0.209 ± 0.088. A multivariate analysis showed that a decrease in the swallowing sound index was significantly associated with a low ALSFRS-R score, an ALSFRS-R bulbar symptom score, % vital capacity, tongue pressure, a Mann Assessment of Swallowing Ability (MASA) score, and a MASA pharyngeal phase-related score. CONCLUSION: Swallowing sound evaluation using an electronic stethoscope AI analysis showed a correlation with existing indicators in swallowing evaluation in ALS and suggested its usefulness as a new method. This is expected to be a useful examination method in home and remote medical care. Frontiers Media S.A. 2023-08-03 /pmc/articles/PMC10435850/ /pubmed/37602264 http://dx.doi.org/10.3389/fneur.2023.1212024 Text en Copyright © 2023 Nakamori, Ishikawa, Watanabe, Toko, Naito, Takahashi, Simizu, Yamazaki and Maruyama. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Nakamori, Masahiro
Ishikawa, Ruoyi
Watanabe, Tomoaki
Toko, Megumi
Naito, Hiroyuki
Takahashi, Tamayo
Simizu, Yoshitaka
Yamazaki, Yu
Maruyama, Hirofumi
Swallowing sound evaluation using an electronic stethoscope and artificial intelligence analysis for patients with amyotrophic lateral sclerosis
title Swallowing sound evaluation using an electronic stethoscope and artificial intelligence analysis for patients with amyotrophic lateral sclerosis
title_full Swallowing sound evaluation using an electronic stethoscope and artificial intelligence analysis for patients with amyotrophic lateral sclerosis
title_fullStr Swallowing sound evaluation using an electronic stethoscope and artificial intelligence analysis for patients with amyotrophic lateral sclerosis
title_full_unstemmed Swallowing sound evaluation using an electronic stethoscope and artificial intelligence analysis for patients with amyotrophic lateral sclerosis
title_short Swallowing sound evaluation using an electronic stethoscope and artificial intelligence analysis for patients with amyotrophic lateral sclerosis
title_sort swallowing sound evaluation using an electronic stethoscope and artificial intelligence analysis for patients with amyotrophic lateral sclerosis
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435850/
https://www.ncbi.nlm.nih.gov/pubmed/37602264
http://dx.doi.org/10.3389/fneur.2023.1212024
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