Identification of Hypertension Subgroups through Topological Analysis of Symptom-Based Patient Similarity

Yi-fei WANG; Jing-jing WANG; Wei PENG; Yong-hao REN; Chao GAO; Yun-lun LI; Rui WANG; Xiao-feng WANG; Song-jun HAN; Jia-yu LYU; Jia-ming HUAN; Cui CHEN; Hai-yan WANG; Zi-xin SHU; Xue-zhong ZHOU; Wei LI

doi:10.1007/s11655-021-3336-3

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Identification of Hypertension Subgroups through Topological Analysis of Symptom-Based Patient Similarity

Original Article | Updated：2021-09-01

- Identification of Hypertension Subgroups through Topological Analysis of Symptom-Based Patient Similarity
- Identification of Hypertension Subgroups through Topological Analysis of Symptom-Based Patient Similarity
- Chinese Journal of Integrative Medicine 2021年27卷第9期页码：656-665
- Affiliations：
  
  1.Clinical Research Base, the Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan (250014), China
  2.Institute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing(100044), China
  3.Department of Urology, the Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan (250014), China
  4.Information Center, the Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan (250014), China
  5.The First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan (250014), China
  6.College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan (250014), China
  7.College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan (250014), China
  8.Cardiovascular Department, Pingyin Hospital of Traditional Chinese Medicine, Jinan (250400), China
- Author bio：
  
  Dr. LI Wei, E-mail: lweidw@163.com
- Funds：
  
  the National Key Research and Development Project of China(2017YFC1703502;2017YFC1703506)
- DOI：10.1007/s11655-021-3336-3
  中图分类号：
- 纸质出版日期：2021-09-01，
  
  网络出版日期：2021-05-31，
  
  录用日期：2020-06-11
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Yi-fei WANG, Jing-jing WANG, Wei PENG, 等. Identification of Hypertension Subgroups through Topological Analysis of Symptom-Based Patient Similarity[J]. Chinese Journal of Integrative Medicine, 2021,27(9):656-665.

Yi-fei WANG, Jing-jing WANG, Wei PENG, et al. Identification of Hypertension Subgroups through Topological Analysis of Symptom-Based Patient Similarity[J]. Chinese Journal of Integrative Medicine, 2021,27(9):656-665.
Yi-fei WANG, Jing-jing WANG, Wei PENG, 等. Identification of Hypertension Subgroups through Topological Analysis of Symptom-Based Patient Similarity[J]. Chinese Journal of Integrative Medicine, 2021,27(9):656-665. DOI： 10.1007/s11655-021-3336-3.

Yi-fei WANG, Jing-jing WANG, Wei PENG, et al. Identification of Hypertension Subgroups through Topological Analysis of Symptom-Based Patient Similarity[J]. Chinese Journal of Integrative Medicine, 2021,27(9):656-665. DOI： 10.1007/s11655-021-3336-3.

摘要

Abstract

Objective:

To obtain the subtypes of the clinical hypertension population based on symptoms and to explore the relationship between hypertension and comorbidities.

Methods:

The data set was collected from the Chinese medicine (CM) electronic medical records of 33

458 hypertension inpatients in the Affiliated Hospital of Shandong University of Traditional Chinese Medicine between July 2014 and May 2017. Then

a hypertension disease comorbidity network (HDCN) was built to investigate the complicated associations between hypertension and their comorbidities. Moreover

a hypertension patient similarity network (HPSN) was constructed with patients' shared symptoms

and 7 main hypertension patient subgroups were identified from HPSN with a community detection method to exhibit the characteristics of clinical phenotypes and molecular mechanisms. In addition

the significant symptoms

diseases

CM syndromes and pathways of each main patient subgroup were obtained by enrichment analysis.

Results:

The significant symptoms and diseases of these patient subgroups were associated with different damaged target organs of hypertension. Additionally

the specific phenotypic features (symptoms

diseases

and CM syndromes) were consistent with specific molecular features (pathways) in the same patient subgroup.

Conclusion:

The utility and comprehensiveness of disease classification based on community detection of patient networks using shared CM symptom phenotypes showed the importance of hypertension patient subgroups.

关键词

Keywords

precision medicinehypertensionpatient subgroupnetwork medicinesymptom phenotype

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