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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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 |
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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 |
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