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Four Subgroups of Blood Stasis Syndrome Are Identified by Manifestation Cluster Analysis in Males

Blood stasis syndrome (BSS) is an important pathological condition in traditional East Asian medicine and is associated with ischemic heart disease, cerebral vascular accident, diabetes mellitus, chronic renal failure, severe traumatic injury, and dysmenorrhea. However, previous studies have been un...

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Autores principales: You, Sooseong, Kang, Byoung-Kab, Kim, Jihyun, Lee, Hoyoung, Shim, Eun Hyoung, Ko, Mi Mi, Choi, Jiae, Choi, Tae-Young, Jun, Ji Hee, Jung, Jeeyoun, Cha, Minho, Lee, Ju Ah, Lee, Myeong Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6644214/
https://www.ncbi.nlm.nih.gov/pubmed/31360206
http://dx.doi.org/10.1155/2019/2647525
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author You, Sooseong
Kang, Byoung-Kab
Kim, Jihyun
Lee, Hoyoung
Shim, Eun Hyoung
Ko, Mi Mi
Choi, Jiae
Choi, Tae-Young
Jun, Ji Hee
Jung, Jeeyoun
Cha, Minho
Lee, Ju Ah
Lee, Myeong Soo
author_facet You, Sooseong
Kang, Byoung-Kab
Kim, Jihyun
Lee, Hoyoung
Shim, Eun Hyoung
Ko, Mi Mi
Choi, Jiae
Choi, Tae-Young
Jun, Ji Hee
Jung, Jeeyoun
Cha, Minho
Lee, Ju Ah
Lee, Myeong Soo
author_sort You, Sooseong
collection PubMed
description Blood stasis syndrome (BSS) is an important pathological condition in traditional East Asian medicine and is associated with ischemic heart disease, cerebral vascular accident, diabetes mellitus, chronic renal failure, severe traumatic injury, and dysmenorrhea. However, previous studies have been unable to reveal the clinical and biological characteristics or biological markers of BSS. We hypothesized that the heterogeneity among the manifestations of BSS or non-BSS could interfere with an analysis to describe the characteristics of BSS. In this study, male participants based on the severity of BSS-associated symptoms and signs were clustered and classified into four subgroups: BSS subgroups (1), (2), (3), and (4). Non-BSS core subgroup was redefined using manifestation cluster analysis. Biological characteristics of subgroups BSS(1) and BSS(2) belong to the range of the non-BSS core subgroup (1), whereas that of subgroups BSS(3) and BSS(4) are characterized by different biological parameters such as systemic inflammatory conditions and elevated D-dimer level. Our results suggested that patients in subgroups of BSS(3) and BSS(4) are more likely to be exposed in an inflammatory state than other BSS subgroups. We found the heterogeneity among the manifestations which could mask the characteristics of BSS and identified the clinical and biological profiles of the four BSS subgroups through comparisons of the redefined non-BSS and BSS subgroups. This finding could provide accurate diagnostic criteria and new approaches for BSS treatments in different subgroups.
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spelling pubmed-66442142019-07-29 Four Subgroups of Blood Stasis Syndrome Are Identified by Manifestation Cluster Analysis in Males You, Sooseong Kang, Byoung-Kab Kim, Jihyun Lee, Hoyoung Shim, Eun Hyoung Ko, Mi Mi Choi, Jiae Choi, Tae-Young Jun, Ji Hee Jung, Jeeyoun Cha, Minho Lee, Ju Ah Lee, Myeong Soo Evid Based Complement Alternat Med Research Article Blood stasis syndrome (BSS) is an important pathological condition in traditional East Asian medicine and is associated with ischemic heart disease, cerebral vascular accident, diabetes mellitus, chronic renal failure, severe traumatic injury, and dysmenorrhea. However, previous studies have been unable to reveal the clinical and biological characteristics or biological markers of BSS. We hypothesized that the heterogeneity among the manifestations of BSS or non-BSS could interfere with an analysis to describe the characteristics of BSS. In this study, male participants based on the severity of BSS-associated symptoms and signs were clustered and classified into four subgroups: BSS subgroups (1), (2), (3), and (4). Non-BSS core subgroup was redefined using manifestation cluster analysis. Biological characteristics of subgroups BSS(1) and BSS(2) belong to the range of the non-BSS core subgroup (1), whereas that of subgroups BSS(3) and BSS(4) are characterized by different biological parameters such as systemic inflammatory conditions and elevated D-dimer level. Our results suggested that patients in subgroups of BSS(3) and BSS(4) are more likely to be exposed in an inflammatory state than other BSS subgroups. We found the heterogeneity among the manifestations which could mask the characteristics of BSS and identified the clinical and biological profiles of the four BSS subgroups through comparisons of the redefined non-BSS and BSS subgroups. This finding could provide accurate diagnostic criteria and new approaches for BSS treatments in different subgroups. Hindawi 2019-07-08 /pmc/articles/PMC6644214/ /pubmed/31360206 http://dx.doi.org/10.1155/2019/2647525 Text en Copyright © 2019 Sooseong You et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
You, Sooseong
Kang, Byoung-Kab
Kim, Jihyun
Lee, Hoyoung
Shim, Eun Hyoung
Ko, Mi Mi
Choi, Jiae
Choi, Tae-Young
Jun, Ji Hee
Jung, Jeeyoun
Cha, Minho
Lee, Ju Ah
Lee, Myeong Soo
Four Subgroups of Blood Stasis Syndrome Are Identified by Manifestation Cluster Analysis in Males
title Four Subgroups of Blood Stasis Syndrome Are Identified by Manifestation Cluster Analysis in Males
title_full Four Subgroups of Blood Stasis Syndrome Are Identified by Manifestation Cluster Analysis in Males
title_fullStr Four Subgroups of Blood Stasis Syndrome Are Identified by Manifestation Cluster Analysis in Males
title_full_unstemmed Four Subgroups of Blood Stasis Syndrome Are Identified by Manifestation Cluster Analysis in Males
title_short Four Subgroups of Blood Stasis Syndrome Are Identified by Manifestation Cluster Analysis in Males
title_sort four subgroups of blood stasis syndrome are identified by manifestation cluster analysis in males
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6644214/
https://www.ncbi.nlm.nih.gov/pubmed/31360206
http://dx.doi.org/10.1155/2019/2647525
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