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

<h4>Background</h4>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'...

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Autores principales:	Chih-Yu Chen, Kuo-Meng Liao, Sheng-Hung Wang, Su-Chiu Chen, Chen-Jung Chang, Tien-Chung Wang, Gin-Chung Wang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d8bfd37879d14d5ea5722ca8ead89750
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spelling	oai:doaj.org-article:d8bfd37879d14d5ea5722ca8ead897502021-12-02T20:13:18ZNon-Invasive radial pressure wave analysis may digitally predict women's risks of type 2 diabetes (T2DM): A case and control group study.1932-620310.1371/journal.pone.0259269https://doaj.org/article/d8bfd37879d14d5ea5722ca8ead897502021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259269https://doaj.org/toc/1932-6203<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Result</h4>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.<h4>Conclusion</h4>We thus concluded that pulse spectrum was a non-invasive predictor for women's risk of T2DM.Chih-Yu ChenKuo-Meng LiaoSheng-Hung WangSu-Chiu ChenChen-Jung ChangTien-Chung WangGin-Chung WangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0259269 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chih-Yu Chen Kuo-Meng Liao Sheng-Hung Wang Su-Chiu Chen Chen-Jung Chang Tien-Chung Wang Gin-Chung Wang Non-Invasive radial pressure wave analysis may digitally predict women's risks of type 2 diabetes (T2DM): A case and control group study.
description	<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Result</h4>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.<h4>Conclusion</h4>We thus concluded that pulse spectrum was a non-invasive predictor for women's risk of T2DM.
format	article
author	Chih-Yu Chen Kuo-Meng Liao Sheng-Hung Wang Su-Chiu Chen Chen-Jung Chang Tien-Chung Wang Gin-Chung Wang
author_facet	Chih-Yu Chen Kuo-Meng Liao Sheng-Hung Wang Su-Chiu Chen Chen-Jung Chang Tien-Chung Wang Gin-Chung Wang
author_sort	Chih-Yu Chen
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_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_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_sort	non-invasive radial pressure wave analysis may digitally predict women's risks of type 2 diabetes (t2dm): a case and control group study.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/d8bfd37879d14d5ea5722ca8ead89750
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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.

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