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Using the spring constant method to analyze arterial elasticity in type 2 diabetic patients

BACKGROUND: This study tests the validity of a newly-proposed spring constant method to analyze arterial elasticity in type 2 diabetic patients. METHODS: The experimental group comprised 66 participants (36 men and 30 women) ranging between 46 and 86 years of age, all with diabetes mellitus. In the...

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Autores principales: Wei, Ching-Chuan, Huang, Shu-Wen, Bau, Cho-Tsan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3770446/
https://www.ncbi.nlm.nih.gov/pubmed/22531211
http://dx.doi.org/10.1186/1475-2840-11-39
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author Wei, Ching-Chuan
Huang, Shu-Wen
Bau, Cho-Tsan
author_facet Wei, Ching-Chuan
Huang, Shu-Wen
Bau, Cho-Tsan
author_sort Wei, Ching-Chuan
collection PubMed
description BACKGROUND: This study tests the validity of a newly-proposed spring constant method to analyze arterial elasticity in type 2 diabetic patients. METHODS: The experimental group comprised 66 participants (36 men and 30 women) ranging between 46 and 86 years of age, all with diabetes mellitus. In the experimental group, 21 participants suffered from atherosclerosis. All were subjected to the measurements of both the carotid-femoral pulse wave velocity (cfPWV) and the spring constant method. The comparison (control) group comprised 66 normal participants (37 men and 29 women) with an age range of 40 to 80 years who did not have diabetes mellitus. All control group members were subjected to measurement by the spring constant method. RESULTS: Statistical analysis of the experimental and control groups indicated a significant negative correlation between the spring constant and the cfPWV (P < .001; r = - 0.824 and – 0.71). Multivariate analysis similarly indicated a close relationship. The Student’s t test was used to examine the difference in the spring constant parameter between the experimental and control groups. A P-value less than .05 confirmed that the difference between the 2 groups was statistically significant. In receiver operating characteristic curve (ROC), the Area Under Curve (AUC, = 0.85) indicates good discrimination. These findings imply that the spring constant method can effectively identify normal versus abnormal characteristics of elasticity in normal and diabetic participants. CONCLUSIONS: This study verifies the use of the spring constant method to assess arterial elasticity, and found it to be efficient and simple to use. The spring constant method should prove useful not only for improving clinical diagnoses, but also for screening diabetic patients who display early evidence of vascular disease.
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spelling pubmed-37704462013-09-12 Using the spring constant method to analyze arterial elasticity in type 2 diabetic patients Wei, Ching-Chuan Huang, Shu-Wen Bau, Cho-Tsan Cardiovasc Diabetol Original Investigation BACKGROUND: This study tests the validity of a newly-proposed spring constant method to analyze arterial elasticity in type 2 diabetic patients. METHODS: The experimental group comprised 66 participants (36 men and 30 women) ranging between 46 and 86 years of age, all with diabetes mellitus. In the experimental group, 21 participants suffered from atherosclerosis. All were subjected to the measurements of both the carotid-femoral pulse wave velocity (cfPWV) and the spring constant method. The comparison (control) group comprised 66 normal participants (37 men and 29 women) with an age range of 40 to 80 years who did not have diabetes mellitus. All control group members were subjected to measurement by the spring constant method. RESULTS: Statistical analysis of the experimental and control groups indicated a significant negative correlation between the spring constant and the cfPWV (P < .001; r = - 0.824 and – 0.71). Multivariate analysis similarly indicated a close relationship. The Student’s t test was used to examine the difference in the spring constant parameter between the experimental and control groups. A P-value less than .05 confirmed that the difference between the 2 groups was statistically significant. In receiver operating characteristic curve (ROC), the Area Under Curve (AUC, = 0.85) indicates good discrimination. These findings imply that the spring constant method can effectively identify normal versus abnormal characteristics of elasticity in normal and diabetic participants. CONCLUSIONS: This study verifies the use of the spring constant method to assess arterial elasticity, and found it to be efficient and simple to use. The spring constant method should prove useful not only for improving clinical diagnoses, but also for screening diabetic patients who display early evidence of vascular disease. BioMed Central 2012-04-25 /pmc/articles/PMC3770446/ /pubmed/22531211 http://dx.doi.org/10.1186/1475-2840-11-39 Text en Copyright © 2012 Wei et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Investigation
Wei, Ching-Chuan
Huang, Shu-Wen
Bau, Cho-Tsan
Using the spring constant method to analyze arterial elasticity in type 2 diabetic patients
title Using the spring constant method to analyze arterial elasticity in type 2 diabetic patients
title_full Using the spring constant method to analyze arterial elasticity in type 2 diabetic patients
title_fullStr Using the spring constant method to analyze arterial elasticity in type 2 diabetic patients
title_full_unstemmed Using the spring constant method to analyze arterial elasticity in type 2 diabetic patients
title_short Using the spring constant method to analyze arterial elasticity in type 2 diabetic patients
title_sort using the spring constant method to analyze arterial elasticity in type 2 diabetic patients
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3770446/
https://www.ncbi.nlm.nih.gov/pubmed/22531211
http://dx.doi.org/10.1186/1475-2840-11-39
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