PMID- 35341148
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220329
IS  - 1741-427X (Print)
IS  - 1741-4288 (Electronic)
IS  - 1741-427X (Linking)
VI  - 2022
DP  - 2022
TI  - TCM Syndrome Recognition Model of Type 2 Diabetes Mellitus in Shanghai Based on 
      TCM Inquiry Information.
PG  - 2843218
LID - 10.1155/2022/2843218 [doi]
LID - 2843218
AB  - BACKGROUND: Type 2 diabetes mellitus (T2DM) has become one of the serious public 
      health problems in China, and it affects the quality of survival of patients 
      significantly. The long-term monitoring and early warning of T2DM and its 
      complications should be paid attention to. Artificial diagnosis of T2DM in 
      traditional Chinese medicine (TCM) is subjective and unrepeatable at the present 
      stage. It is important to develop standardized collection and objective analysis 
      methods of TCM inquiry. Therefore, we are interested in establishing syndrome 
      recognition models. OBJECTIVE: The establishment of the TCM syndrome recognition 
      model of T2DM is helpful to the syndrome diagnosis of the disease, and the clear 
      diagnosis of the syndrome is the prerequisite for the effective treatment of the 
      disease by TCM. At present, there are few studies on syndrome recognition models 
      of T2DM. Therefore, based on the inquiry information of TCM, we establish a 
      latent structure model (LSM) of T2DM syndrome in Shanghai, hoping to provide 
      services for the health management of TCM for diabetes in the future. METHODS: A 
      total of 587 effective samples of T2DM patients in Shanghai were collected. The 
      gender, course of disease, and chronic complications were analyzed by one-way 
      ANOVA and frequency analysis. Inquiry symptoms that could be included in the 
      model were screened. In the study, 30 symptoms were used as observable variables 
      to analyze the symptom information of TCM inquiry, and then, the TCM syndrome 
      recognition model was established. RESULTS: The clinical syndromes of patients 
      with T2DM in Shanghai were mixed with deficiency and excess. The LSM divided the 
      pattern of the disease into qi-yin deficiency pattern, yin deficiency pattern, qi 
      deficiency pattern, and qi stagnation pattern. These patterns were mainly located 
      in the spleen and stomach, liver, and kidney. CONCLUSION: The results of the 
      syndrome classification of T2DM by LSM are basically consistent with the TCM 
      clinical characteristics of the disease, which could reflect its main etiology 
      and pathogenesis. The LSM of TCM inquiry syndrome diagnosis of T2DM confirmed the 
      objectivity of TCM syndrome differentiation to some extent, and it will lay a 
      foundation for the development of a mobile APP for TCM health management of T2DM.
CI  - Copyright (c) 2022 Chunlei Hou et al.
FAU - Hou, Chunlei
AU  - Hou C
AD  - Shanghai Key Laboratory of Health Identification and Assessment, Laboratory of 
      Traditional Chinese Medicine Four Diagnostic Information, Shanghai University of 
      Traditional Chinese Medicine, Shanghai 201203, China.
FAU - Cui, Yanjie
AU  - Cui Y
AD  - Shanghai Key Laboratory of Health Identification and Assessment, Laboratory of 
      Traditional Chinese Medicine Four Diagnostic Information, Shanghai University of 
      Traditional Chinese Medicine, Shanghai 201203, China.
FAU - Xu, Ying
AU  - Xu Y
AD  - Shanghai Key Laboratory of Health Identification and Assessment, Laboratory of 
      Traditional Chinese Medicine Four Diagnostic Information, Shanghai University of 
      Traditional Chinese Medicine, Shanghai 201203, China.
FAU - Wang, Yiqin
AU  - Wang Y
AUID- ORCID: 0000-0002-0280-7495
AD  - Shanghai Key Laboratory of Health Identification and Assessment, Laboratory of 
      Traditional Chinese Medicine Four Diagnostic Information, Shanghai University of 
      Traditional Chinese Medicine, Shanghai 201203, China.
FAU - Hao, Yiming
AU  - Hao Y
AUID- ORCID: 0000-0001-9374-2369
AD  - Shanghai Key Laboratory of Health Identification and Assessment, Laboratory of 
      Traditional Chinese Medicine Four Diagnostic Information, Shanghai University of 
      Traditional Chinese Medicine, Shanghai 201203, China.
LA  - eng
PT  - Journal Article
DEP - 20220315
PL  - United States
TA  - Evid Based Complement Alternat Med
JT  - Evidence-based complementary and alternative medicine : eCAM
JID - 101215021
PMC - PMC8941545
COIS- The authors declare that they have no conflicts of interest.
EDAT- 2022/03/29 06:00
MHDA- 2022/03/29 06:01
PMCR- 2022/03/15
CRDT- 2022/03/28 05:23
PHST- 2021/12/13 00:00 [received]
PHST- 2022/02/16 00:00 [accepted]
PHST- 2022/03/28 05:23 [entrez]
PHST- 2022/03/29 06:00 [pubmed]
PHST- 2022/03/29 06:01 [medline]
PHST- 2022/03/15 00:00 [pmc-release]
AID - 10.1155/2022/2843218 [doi]
PST - epublish
SO  - Evid Based Complement Alternat Med. 2022 Mar 15;2022:2843218. doi: 
      10.1155/2022/2843218. eCollection 2022.