Predicting glycemic control status and high blood glucose levels through voice characteristic analysis in patients with cystic fibrosis-related diabetes (CFRD)

Abstract Cystic fibrosis-related diabetes (CFRD) is associated with reduced life expectancy in adults with cystic fibrosis (CF). Voice analysis may be a convenient method for diagnosing and monitoring CFRD. This study aims to determine the relationship between voice characteristics and markers of gl...

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Main Authors: Pichatorn Suppakitjanusant, Nittaya Kasemkosin, Alisa K. Sivapiromrat, Samuel Weinstein, Boonsong Ongphiphadhanakul, William R. Hunt, Viranuj Sueblinvong, Vin Tangpricha
Format: Article
Language:English
Published: Nature Portfolio 2023-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-35416-w
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author Pichatorn Suppakitjanusant
Nittaya Kasemkosin
Alisa K. Sivapiromrat
Samuel Weinstein
Boonsong Ongphiphadhanakul
William R. Hunt
Viranuj Sueblinvong
Vin Tangpricha
author_facet Pichatorn Suppakitjanusant
Nittaya Kasemkosin
Alisa K. Sivapiromrat
Samuel Weinstein
Boonsong Ongphiphadhanakul
William R. Hunt
Viranuj Sueblinvong
Vin Tangpricha
author_sort Pichatorn Suppakitjanusant
collection DOAJ
description Abstract Cystic fibrosis-related diabetes (CFRD) is associated with reduced life expectancy in adults with cystic fibrosis (CF). Voice analysis may be a convenient method for diagnosing and monitoring CFRD. This study aims to determine the relationship between voice characteristics and markers of glucose and glycemic control and to identify if voice analysis can predict high blood glucose levels and glycemic control in adults with CFRD. We conducted a prospective cross-sectional study in adults with CF from March to December 2021. We recorded 3-second voice samples of a sustained /a/ vowel and analyzed voice characteristic using the Computerized Speech Lab with the Multi-Dimensional Voice Program. In female participants with CFRD, the noise-to-harmonic ratio was significantly lower in those with HbA1c ≥ 7. Furthermore, fundamental frequency variation was significantly lower in both male and female participants with CFRD who had a glucose level of 200 mg/dL or higher at the time of collection. This finding was also associated with a high level of point-of-care glucose. The human voice has potential as a non-invasive tool for measuring glucose levels and glycemic control status in CFRD patients in the future.
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spelling doaj.art-0c99d791c764423cb587ac46f6ccd1172023-07-09T11:11:08ZengNature PortfolioScientific Reports2045-23222023-05-011311810.1038/s41598-023-35416-wPredicting glycemic control status and high blood glucose levels through voice characteristic analysis in patients with cystic fibrosis-related diabetes (CFRD)Pichatorn Suppakitjanusant0Nittaya Kasemkosin1Alisa K. Sivapiromrat2Samuel Weinstein3Boonsong Ongphiphadhanakul4William R. Hunt5Viranuj Sueblinvong6Vin Tangpricha7Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol UniversityDepartment of Communication Science and Disorders, Faculty of Medicine Ramathibodi Hospital, Mahidol UniversityEmory College of Arts and Sciences, Emory UniversityEmory College of Arts and Sciences, Emory UniversityDivision of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol UniversityDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of MedicineDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of MedicineDivision of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of MedicineAbstract Cystic fibrosis-related diabetes (CFRD) is associated with reduced life expectancy in adults with cystic fibrosis (CF). Voice analysis may be a convenient method for diagnosing and monitoring CFRD. This study aims to determine the relationship between voice characteristics and markers of glucose and glycemic control and to identify if voice analysis can predict high blood glucose levels and glycemic control in adults with CFRD. We conducted a prospective cross-sectional study in adults with CF from March to December 2021. We recorded 3-second voice samples of a sustained /a/ vowel and analyzed voice characteristic using the Computerized Speech Lab with the Multi-Dimensional Voice Program. In female participants with CFRD, the noise-to-harmonic ratio was significantly lower in those with HbA1c ≥ 7. Furthermore, fundamental frequency variation was significantly lower in both male and female participants with CFRD who had a glucose level of 200 mg/dL or higher at the time of collection. This finding was also associated with a high level of point-of-care glucose. The human voice has potential as a non-invasive tool for measuring glucose levels and glycemic control status in CFRD patients in the future.https://doi.org/10.1038/s41598-023-35416-w
spellingShingle Pichatorn Suppakitjanusant
Nittaya Kasemkosin
Alisa K. Sivapiromrat
Samuel Weinstein
Boonsong Ongphiphadhanakul
William R. Hunt
Viranuj Sueblinvong
Vin Tangpricha
Predicting glycemic control status and high blood glucose levels through voice characteristic analysis in patients with cystic fibrosis-related diabetes (CFRD)
Scientific Reports
title Predicting glycemic control status and high blood glucose levels through voice characteristic analysis in patients with cystic fibrosis-related diabetes (CFRD)
title_full Predicting glycemic control status and high blood glucose levels through voice characteristic analysis in patients with cystic fibrosis-related diabetes (CFRD)
title_fullStr Predicting glycemic control status and high blood glucose levels through voice characteristic analysis in patients with cystic fibrosis-related diabetes (CFRD)
title_full_unstemmed Predicting glycemic control status and high blood glucose levels through voice characteristic analysis in patients with cystic fibrosis-related diabetes (CFRD)
title_short Predicting glycemic control status and high blood glucose levels through voice characteristic analysis in patients with cystic fibrosis-related diabetes (CFRD)
title_sort predicting glycemic control status and high blood glucose levels through voice characteristic analysis in patients with cystic fibrosis related diabetes cfrd
url https://doi.org/10.1038/s41598-023-35416-w
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