Cargando…

Non-Invasive radial pressure wave analysis may digitally predict women’s risks of type 2 diabetes (T2DM): A case and control group study

BACKGROUND: Women not only have worse diabetes complications, but also have menstrual cycle, pregnancy, and menopause which can make managing diabetes more difficult. The aim of this study was to investigate if radial pressure wave analysis may non-invasively screen for women’s risk of type 2 diabet...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Chih-Yu, Liao, Kuo-meng, Wang, Sheng-Hung, Chen, Su-Chiu, Chang, Chen-Jung, Wang, Tien-Chung, Wang, Gin-Chung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555842/
https://www.ncbi.nlm.nih.gov/pubmed/34714885
http://dx.doi.org/10.1371/journal.pone.0259269
_version_ 1784592060651667456
author Chen, Chih-Yu
Liao, Kuo-meng
Wang, Sheng-Hung
Chen, Su-Chiu
Chang, Chen-Jung
Wang, Tien-Chung
Wang, Gin-Chung
author_facet Chen, Chih-Yu
Liao, Kuo-meng
Wang, Sheng-Hung
Chen, Su-Chiu
Chang, Chen-Jung
Wang, Tien-Chung
Wang, Gin-Chung
author_sort Chen, Chih-Yu
collection PubMed
description BACKGROUND: Women not only have worse diabetes complications, but also have menstrual cycle, pregnancy, and menopause which can make managing diabetes more difficult. The aim of this study was to investigate if radial pressure wave analysis may non-invasively screen for women’s risk of type 2 diabetes. METHODS: Spectrum analysis of the radial pressure wave was performed to evaluate the first five harmonic components, C1 to C5. The study consisted of a total of 808 non-pregnant female subjects aged 20–95 over the period of 4 years, and 404 of them were diagnosed with Type 2 diabetes as the case group. RESULT: The first five harmonic components are significantly different in a comparison of the case group and the control group. In the logistic regression analysis, T2DM was found to be associated with C1 (OR = 1.055, CI = 1.037–1.074, p < 0.001), C2 (OR = 1.051, CI = 1.019–1.085, p = 0.002), and C3 (OR = 0.972, CI = 0.950–0.994, p = 0.013). In the Receiver Operating Characteristic curve analysis, the Area Under Curve of using C3 only (70%, p <0.05), weighted C1, C2 and C3, (75%, p < 0.05), and weighted C1, C2 and C3 and Body mass Index (84%, p <0.05) were tested for the accuracy on how well these tests separate the women into the groups with and without the T2DM. CONCLUSION: We thus concluded that pulse spectrum was a non-invasive predictor for women’s risk of T2DM.
format Online
Article
Text
id pubmed-8555842
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-85558422021-10-30 Non-Invasive radial pressure wave analysis may digitally predict women’s risks of type 2 diabetes (T2DM): A case and control group study Chen, Chih-Yu Liao, Kuo-meng Wang, Sheng-Hung Chen, Su-Chiu Chang, Chen-Jung Wang, Tien-Chung Wang, Gin-Chung PLoS One Research Article BACKGROUND: Women not only have worse diabetes complications, but also have menstrual cycle, pregnancy, and menopause which can make managing diabetes more difficult. The aim of this study was to investigate if radial pressure wave analysis may non-invasively screen for women’s risk of type 2 diabetes. METHODS: Spectrum analysis of the radial pressure wave was performed to evaluate the first five harmonic components, C1 to C5. The study consisted of a total of 808 non-pregnant female subjects aged 20–95 over the period of 4 years, and 404 of them were diagnosed with Type 2 diabetes as the case group. RESULT: The first five harmonic components are significantly different in a comparison of the case group and the control group. In the logistic regression analysis, T2DM was found to be associated with C1 (OR = 1.055, CI = 1.037–1.074, p < 0.001), C2 (OR = 1.051, CI = 1.019–1.085, p = 0.002), and C3 (OR = 0.972, CI = 0.950–0.994, p = 0.013). In the Receiver Operating Characteristic curve analysis, the Area Under Curve of using C3 only (70%, p <0.05), weighted C1, C2 and C3, (75%, p < 0.05), and weighted C1, C2 and C3 and Body mass Index (84%, p <0.05) were tested for the accuracy on how well these tests separate the women into the groups with and without the T2DM. CONCLUSION: We thus concluded that pulse spectrum was a non-invasive predictor for women’s risk of T2DM. Public Library of Science 2021-10-29 /pmc/articles/PMC8555842/ /pubmed/34714885 http://dx.doi.org/10.1371/journal.pone.0259269 Text en © 2021 Chen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Chih-Yu
Liao, Kuo-meng
Wang, Sheng-Hung
Chen, Su-Chiu
Chang, Chen-Jung
Wang, Tien-Chung
Wang, Gin-Chung
Non-Invasive radial pressure wave analysis may digitally predict women’s risks of type 2 diabetes (T2DM): A case and control group study
title Non-Invasive radial pressure wave analysis may digitally predict women’s risks of type 2 diabetes (T2DM): A case and control group study
title_full Non-Invasive radial pressure wave analysis may digitally predict women’s risks of type 2 diabetes (T2DM): A case and control group study
title_fullStr Non-Invasive radial pressure wave analysis may digitally predict women’s risks of type 2 diabetes (T2DM): A case and control group study
title_full_unstemmed Non-Invasive radial pressure wave analysis may digitally predict women’s risks of type 2 diabetes (T2DM): A case and control group study
title_short Non-Invasive radial pressure wave analysis may digitally predict women’s risks of type 2 diabetes (T2DM): A case and control group study
title_sort non-invasive radial pressure wave analysis may digitally predict women’s risks of type 2 diabetes (t2dm): a case and control group study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555842/
https://www.ncbi.nlm.nih.gov/pubmed/34714885
http://dx.doi.org/10.1371/journal.pone.0259269
work_keys_str_mv AT chenchihyu noninvasiveradialpressurewaveanalysismaydigitallypredictwomensrisksoftype2diabetest2dmacaseandcontrolgroupstudy
AT liaokuomeng noninvasiveradialpressurewaveanalysismaydigitallypredictwomensrisksoftype2diabetest2dmacaseandcontrolgroupstudy
AT wangshenghung noninvasiveradialpressurewaveanalysismaydigitallypredictwomensrisksoftype2diabetest2dmacaseandcontrolgroupstudy
AT chensuchiu noninvasiveradialpressurewaveanalysismaydigitallypredictwomensrisksoftype2diabetest2dmacaseandcontrolgroupstudy
AT changchenjung noninvasiveradialpressurewaveanalysismaydigitallypredictwomensrisksoftype2diabetest2dmacaseandcontrolgroupstudy
AT wangtienchung noninvasiveradialpressurewaveanalysismaydigitallypredictwomensrisksoftype2diabetest2dmacaseandcontrolgroupstudy
AT wangginchung noninvasiveradialpressurewaveanalysismaydigitallypredictwomensrisksoftype2diabetest2dmacaseandcontrolgroupstudy