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韩国传统医学中的中风:韩国一项为期九年的多中心社区研究。

Stroke in Traditional Korean Medicine: A Nine-Year Multicentre Community-Based Study in South Korea.

作者信息

Ko Mi Mi, Lee Ju Ah, Cha Min Ho, Kang Byoung-Kab, Lee Myeong Soo

机构信息

KM Fundamental Research Division, Korea Institute of Oriental Medicine, Daejeon 305-811, South Korea.

Clinical Research Division, Korea Institute of Oriental Medicine, Daejeon 305-811, South Korea.

出版信息

Sci Rep. 2016 Jun 22;6:28286. doi: 10.1038/srep28286.

DOI:10.1038/srep28286
PMID:27329148
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4916442/
Abstract

In Korea, patients with stroke are commonly treated using traditional Korean medicine (TKM). The aim of this study was to provide information on the clinical characteristics of the pattern identification (PI) of stroke used in TKM. Stroke patients admitted to 15 TKM university hospitals from April 2005 through December 2013 were evaluated. The measured variables included the following factors as they related to the PI: (a) stroke etiology; (b) distribution of symptoms/signs; (c) physical characteristics and lifestyle parameters; (d) medical history; and (e) stroke-related laboratory results. Among 4912 stroke patients, 3466 patients received the same PI by two experts with the following distribution: Qi-Deficiency pattern (n = 810), Fire-Heat (FH) pattern (n = 1031), Dampness-Phlegm (DP) pattern (n = 1127), and Yin-Deficiency pattern (n = 498). Approximately 89.9% of subjects enrolled in this study had cerebral infarction. Some of specific symptoms were related to each type of PI, and obese phenotypes and blood lipids were significantly related to DP and FH. These results showed the characteristics of each type of PI and should lead to the standardization of diagnosis for stroke in TKM.

摘要

在韩国,中风患者通常接受传统韩医学(TKM)治疗。本研究旨在提供有关TKM中中风辨证(PI)临床特征的信息。对2005年4月至2013年12月期间入住15家韩医大学医院的中风患者进行了评估。所测量的变量包括与PI相关的以下因素:(a)中风病因;(b)症状/体征分布;(c)身体特征和生活方式参数;(d)病史;以及(e)与中风相关的实验室检查结果。在4912例中风患者中,3466例患者由两位专家得出相同的PI,分布如下:气虚证(n = 810)、火热证(FH,n = 1031)、痰湿证(DP,n = 1127)和阴虚证(n = 498)。本研究中约89.9%的受试者患有脑梗死。一些特定症状与每种PI类型相关,肥胖表型和血脂与DP和FH显著相关。这些结果显示了每种PI类型的特征,应有助于TKM中中风诊断的标准化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82de/4916442/ecfce86c4d7a/srep28286-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82de/4916442/ecfce86c4d7a/srep28286-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82de/4916442/ecfce86c4d7a/srep28286-f1.jpg

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Obes Rev. 2015 Mar;16(3):259-72. doi: 10.1111/obr.12260. Epub 2015 Feb 2.
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Uncoupling protein 2 gene polymorphisms in association with overweight and obesity susceptibility: A meta-analysis.
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Meta Gene. 2014 Jan 31;2:143-59. doi: 10.1016/j.mgene.2013.10.009. eCollection 2014 Dec.
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Chin J Integr Med. 2015 Jan;21(1):49-57. doi: 10.1007/s11655-014-1767-9. Epub 2014 Dec 24.
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