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Association of hypertension with physical factors of wrist pulse waves using a computational approach: a pilot study
BACKGROUND: The objectives of this pilot study were to examine the association between hypertension and physical factors of wrist pulse waves to avoid subjective diagnoses in Traditional Chinese Medicine (TCM) and Traditional Korean Medicine (TKM). An additional objective was to assess the predictiv...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499170/ https://www.ncbi.nlm.nih.gov/pubmed/26162371 http://dx.doi.org/10.1186/s12906-015-0756-7 |
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author | Lee, Bum Ju Jeon, Young Ju Ku, Boncho Kim, Jaeuk U. Bae, Jang-Han Kim, Jong Yeol |
author_facet | Lee, Bum Ju Jeon, Young Ju Ku, Boncho Kim, Jaeuk U. Bae, Jang-Han Kim, Jong Yeol |
author_sort | Lee, Bum Ju |
collection | PubMed |
description | BACKGROUND: The objectives of this pilot study were to examine the association between hypertension and physical factors of wrist pulse waves to avoid subjective diagnoses in Traditional Chinese Medicine (TCM) and Traditional Korean Medicine (TKM). An additional objective was to assess the predictive power of individual and combined physical factors in order to identify the degree of agreement between diagnosis accuracies using physical factors and using a sphygmomanometer in the prediction of hypertension. METHODS: In total, 393 women aged 46 to 73 years participated in this study. Logistic regression (LR) and a naïve Bayes algorithm (NB) were used to assess statistically significant differences and the predictive power of hypertension, and a wrapper-based machine learning method was used to evaluate the predictive power of combinations of physical factors. RESULTS: In both wrists, L-PPI and R-PPI (maximum pulse amplitudes in the left Gwan and right Gwan) were the factors most strongly associated with hypertension after adjusting for age and body mass index (p = <0.001, odds ratio (OR) = 2.006 on the left and p = <0.001, OR = 2.504 on the right), and the best predictors (NB-AUC = 0.692, LR-AUC = 0.7 on the left and NB-AUC = 0.759, LR-AUC = 0.763 on the right). Analyses of both individual and combined physical factors revealed that the predictive power of the physical factors in the right wrist was higher than for the left wrist. The predictive powers of the combined physical factors were higher than those of the best single predictors in both the left and right wrists. CONCLUSION: We suggested new physical factors related to the sum of the area on the particular region of pulse waves in both wrists. L-PPI and R-PPI among all variables used in this study were good indicators of hypertension. Our findings support the quantification and objectification of pulse patterns and disease in TCM and TKM for complementary and alternative medicine. |
format | Online Article Text |
id | pubmed-4499170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44991702015-07-12 Association of hypertension with physical factors of wrist pulse waves using a computational approach: a pilot study Lee, Bum Ju Jeon, Young Ju Ku, Boncho Kim, Jaeuk U. Bae, Jang-Han Kim, Jong Yeol BMC Complement Altern Med Research Article BACKGROUND: The objectives of this pilot study were to examine the association between hypertension and physical factors of wrist pulse waves to avoid subjective diagnoses in Traditional Chinese Medicine (TCM) and Traditional Korean Medicine (TKM). An additional objective was to assess the predictive power of individual and combined physical factors in order to identify the degree of agreement between diagnosis accuracies using physical factors and using a sphygmomanometer in the prediction of hypertension. METHODS: In total, 393 women aged 46 to 73 years participated in this study. Logistic regression (LR) and a naïve Bayes algorithm (NB) were used to assess statistically significant differences and the predictive power of hypertension, and a wrapper-based machine learning method was used to evaluate the predictive power of combinations of physical factors. RESULTS: In both wrists, L-PPI and R-PPI (maximum pulse amplitudes in the left Gwan and right Gwan) were the factors most strongly associated with hypertension after adjusting for age and body mass index (p = <0.001, odds ratio (OR) = 2.006 on the left and p = <0.001, OR = 2.504 on the right), and the best predictors (NB-AUC = 0.692, LR-AUC = 0.7 on the left and NB-AUC = 0.759, LR-AUC = 0.763 on the right). Analyses of both individual and combined physical factors revealed that the predictive power of the physical factors in the right wrist was higher than for the left wrist. The predictive powers of the combined physical factors were higher than those of the best single predictors in both the left and right wrists. CONCLUSION: We suggested new physical factors related to the sum of the area on the particular region of pulse waves in both wrists. L-PPI and R-PPI among all variables used in this study were good indicators of hypertension. Our findings support the quantification and objectification of pulse patterns and disease in TCM and TKM for complementary and alternative medicine. BioMed Central 2015-07-11 /pmc/articles/PMC4499170/ /pubmed/26162371 http://dx.doi.org/10.1186/s12906-015-0756-7 Text en © Lee et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lee, Bum Ju Jeon, Young Ju Ku, Boncho Kim, Jaeuk U. Bae, Jang-Han Kim, Jong Yeol Association of hypertension with physical factors of wrist pulse waves using a computational approach: a pilot study |
title | Association of hypertension with physical factors of wrist pulse waves using a computational approach: a pilot study |
title_full | Association of hypertension with physical factors of wrist pulse waves using a computational approach: a pilot study |
title_fullStr | Association of hypertension with physical factors of wrist pulse waves using a computational approach: a pilot study |
title_full_unstemmed | Association of hypertension with physical factors of wrist pulse waves using a computational approach: a pilot study |
title_short | Association of hypertension with physical factors of wrist pulse waves using a computational approach: a pilot study |
title_sort | association of hypertension with physical factors of wrist pulse waves using a computational approach: a pilot study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499170/ https://www.ncbi.nlm.nih.gov/pubmed/26162371 http://dx.doi.org/10.1186/s12906-015-0756-7 |
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