Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup

LIU Xiao-qing; ZHANG Run-shun; ZHOU Xue-zhong; ZHOU Hong; HE Yu-yao; HAN Shu; ZHANG Jing; SHU Zi-xin; ZHANG Xue-bin; JI Jing-hui; ZHONG Quan; ZHANG Li-li; MOU Zi-jun; HE Li-yun; ZHANG Lun-zhong; YANG Jie; HU Yan-jie; CHEN Zheng-guang; LI Xiao-zhen; TAN Yan; YAN Zhan-feng; CAO Ke-gang; MENG Wei; ZHAO He; ZHANG Wei; ZHONG Li-qun

doi:10.1007/s11655-022-3571-2

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Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup

Clinical Experience | Updated：2023-04-27

- Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup
- Chinese Journal of Integrative Medicine Vol. 29, Issue 5, Pages: 441-447(2023)
- Affiliations：
  
  1.Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing (100700), China
  2.Department of Gastroenterology, Guanganmen Hospital, China Academy of Chinese Medical Sciences, Beijing (100053), China
  3.School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing (100044), China
  4.Department of Neurology, Weifang Hospital of Traditional Chinese Medicine, Weifang, Shandong Province (261041), China
  5.Beijing Zhong Teng Bai Mai Medical Technology Co. Ltd., Beijing (100027), China
  6.Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing (100700), China
  7.Department of Radiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing (100700), China
  8.School of Life Sciences, Beijing University of Chinese Medicine, Beijing (100029), China
  9.Department of Otolaryngology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing (100029), China
  10.Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston (MA 02115), United States
- Author bio：
  
  Prof. ZHONG Li-qun, E-mail:zhongliqun163@163.com
- Funds：
- DOI：10.1007/s11655-022-3571-2
  CLC：
- Published：2023-05，
  
  Published Online：20 June 2022，
  
  Accepted：25 September 2020
Scan for full text
LIU Xiao-qing, ZHANG Run-shun, ZHOU Xue-zhong, et al. Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup. [J]. Chinese Journal of Integrative Medicine 29(5):441-447(2023)
DOI：

LIU Xiao-qing, ZHANG Run-shun, ZHOU Xue-zhong, et al. Analysis of Chinese Medical Syndrome Features of Ischemic Stroke Based on Similarity of Symptoms Subgroup. [J]. Chinese Journal of Integrative Medicine 29(5):441-447(2023) DOI： 10.1007/s11655-022-3571-2.

摘要

Abstract

Objective:

To derive the Chinese medicine (CM) syndrome classification and subgroup syndrome characteristics of ischemic stroke patients.

Methods:

By extracting the CM clinical electronic medical records (EMRs) of 7

170 hospitalized patients with ischemic stroke from 2016 to 2018 at Weifang Hospital of Traditional Chinese Medicine

Shandong Province

China

a patient similarity network (PSN) was constructed based on the symptomatic phenotype of the patients. Thereafter the efficient community detection method BGLL was used to identify subgroups of patients. Finally

subgroups with a large number of cases were selected to analyze the specific manifestations of clinical symptoms and CM syndromes in each subgroup.

Results:

Seven main subgroups of patients with specific symptom characteristics were identified

including M3

M29 and M4. M3 and M0 subgroups had prominent posterior circulatory symptoms

while M3 was associated with autonomic disorders

and M4 manifested as anxiety; M2 and M4 had motor and motor coordination disorders; M1 had sensory disorders; M5 had more obvious lung infections; M29 had a disorder of consciousness. The specificity of CM syndromes of each subgroup was as follows. M3

M29 and M4 all had the same syndrome as wind phlegm pattern; M3 and M0 both showed hyperactivity of Gan (Liver) yang pattern; M2 and M29 had similar syndromes

which corresponded to intertwined phlegm and blood stasis pattern and phlegm-stasis obstructing meridians pattern

respectively. The manifestations of CM syndromes often appeared in a combination of 2 or more syndrome elements. The most common combination of these 7 subgroups was wind-phlegm. The 7 subgroups of CM syndrome elements were specifically manifested as pathogenic wind

pathogenic phlegm

and deficiency pathogens.

Conclusions:

There were 7 main symptom similarity-based subgroups in ischemic stroke patients

and their specific characteristics were obvious. The main syndromes were wind phlegm pattern and hyperactivity of Gan yang pattern.

关键词

Keywords

ischemic strokepatient similarity networksubgroupsyndromeChinese medicine

references

Pan W, Cheng T, Niu CX, Zhao XL. Application of Chinese medicine information in the age of big data. Chin J Library Inform Sci Tradit Chin Med (Chin) 2014;38:2-4.

Yu HB, Li SY, Hu JL, Li Z. Intelligent integration and application of traditional Chinese medicine clinical medical research information-sharing systems. World Sci Technol Modern Tradit Chin Med Mater Med (Chin) 2013;15:1480-1482.

Fang CH, Lu RM, Li JY, Liu C, Xin L, Ding L, et al. Research on Chinese medicine syndrome and treatment of diabetes based on information sharing system of clinical scientific research. Clin J Tradit Chin Med (Chin) 2013;25:659-662, 656.

Chinese Society of Neurology, Chinese Stroke Society. Chinese guidelines for diagnosis and treatment of acute ischemic stroke 2018. Chin J Neurol (Chin) 2018;51:666-682.

Zhang J, Zhao JJ, Yang W, Zhang LN, Wang CL, Wang J, et al. Cross-sectional analysis of risk of ischemic stroke recurrence based on traditional Chinese medicine syndrome characteristics. Chin J Exp Tradit Med Form (Chin) 2018;24:194-198.

Yuan SH, Wang TF, Zhang LW. Cognitive thinking and data mining methods of Chinese medicine syndromes. J Tradit Chin Med (Chin) 2011;52:284-288.

Kong LY, Chai KF, Niu YN. Investigate the statistical analysis method for the diagnosis of syndromes in Chinese medicine. J Zhejiang Chin Med Univ (Chin) 2014;38:825-828.

Xue P. Clinical observation on 76 cases of acute ischemic stroke treated by comprehensive therapy of traditional Chinese medicine. Clin Res Pract (Chin) 2018;3:114-115.

Wei HF, Ji G, Zheng PY. Study of standardization of syndrome diagnosis: an analysis of current status. J Chin Integr Med (Chin) 2007;5:115-121.

Liu BY, Zhou XZ, Zhang RS, Wang YH, Xie Q, Guo YF, et al. Basic requirements of TCM electronic medical record system in medical treatment and clinical scientific research information sharing system. China Digit Med (Chin) 2012;7:57-60.

Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E. Fast unfolding of communities in large networks. J Statist Mechan Theory Exp 2008;2008:P10008.

Powers WJ, Rabinstein AA, Ackerson T, Adeoye OM, Bambakidis NC, Becker K, et al. Guidelines for the early management of patients with acute ischemic stroke: 2019 update to the 2018 guidelines for the early management of acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2019;50:e344-e418.

China Association of Chinese Medicine. Symptoms in Chinese medicine. In: Guidelines for diagnosis and treatment of common internal diseases in Chinese medicine. Beijing:China Press of Traditional Chinese Medicine;2008:56-62.

Dongzhimen Hospital of Beijing University of Chinese Medicine, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine. Diagnostic and treatment program of traditional Chinese medicine for stroke (2017 edition). In: Clinical pathway and diagnosis and treatment plan (2017 edition). Beijing: National Administration of Traditional Chinese Medicine;2017:1-8.

Suphakit N, Jatsada S, Ekkachai N, Supachanun W. Using of Jaccard coefficient for keywords similarity. In:Proceedings of the International MultiConference of Engineers and Computer Scientists. The 2013 IAENG International Conference on Internet Computing and Web Services (ICICWS'13) at: Hong Kong, China.

Wang YF, Wang JJ, Peng W, Ren YH, Gao C, Li YL, et al. Identification of hypertension subgroups through topological analysis of symptom-based patient similarity. Chin J Integr Med 2021;27:656-665.

Bodenreider O. The Unified Medical Language System(UMLS): integrating biomedical terminology. Nucleic Acids Res 2004;32:267-270.

GB/T15657-1995, National Standard of the People's Republic of China. Classification and code of TCM diseases and syndromes.

Zhang TY, Lai XX, Li TT, Xie XL, Liu WD, Yang QY, et al. A network pharmacology and molecule docking approach to investigating active compounds and mechanisms of Gonglaoye-Xianhecao herbal pair for ischemic stroke. Chin Pharmacol Bull (Chin) 2021;37:1607-1613.

Wen T, Liu B, Wan X, Zhang X, Zhang J, Zhou X, et al. Risk factors associated with 31-day unplanned readmission in 50, 912 discharged patients after stroke in China. BMC Neurol 2018;26:218.

Wang Y, Liu H, Lin Y, Liu G, Chu H, Zhao P et al. Network-based approach to identify potential targets and drugs that promote neuroprotection and neurorepair in acute ischemic stroke. Sci Rep 2017;5:40137.

Liu XS, Cui SK. Research progress of Chinese medicine on ischemic stroke. Henan Tradit Chin Med (Chin) 2012;32:129-131.

Liu XZ, Song YF, Wang YH, Zhou HX, Wang XZ. Discussion on the syndrome differentiation and treatment of acute ischemic stroke through the evolution of key syndromes. J Tradit Chin Med (Chin) 2021;62:2051-2054.

Song YF, Liu XZ, Ran CL, Wang YH, Lu YK, Yang HY, et al. Evolution of pattern elements in acute ischemic stroke and its correlation with objective indicators. J Beijing Univ Tradit Chin Med (Chin) 2021;44:947-952.

Song ZG. Clinical observation on Invigorating Qi and Promoting Blood Circulation for Removing Blood Stasis Recipe in treating ischemic stroke in convalescent period. Guangming J Chin Med (Chin) 2021;36:3581-3584.

Yang YW, Hu XM. Research progress of inflammasome in ischemic stroke. J Apoplexy Nervous Dis (Chin) 2021;38:1140-1143.

Gao CY, Wu CH, Zhao JG, Cao XL, Xu BY, Wu BS, et al. Guidelines for the diagnosis and treatment of cerebral infarction with integrated traditional Chinese and Western medicine in China (2017). Chin J Integr Tradit West Med 2018;38:136-144.

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