scholarly journals Correlations Between Traditional Chinese Medicine Syndromes and Clinical Indexes in Health Check-Up Population

2020 ◽  
Author(s):  
Pei-Hung Liao ◽  
Chia-Ling Tu ◽  
Chi-Feng Liu
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Clinical Laboratory ◽  
Cost Effective ◽  
Health Check ◽  
Syndrome Differentiation ◽  
Health Examination ◽  
Ann Model ◽  
Artificial Neural Network Ann ◽  
Tcm Syndrome

Abstract BackgroundRoutine health check-up is associated with improved lifespan and reduced medical cost. Traditional Chinese medicine (TCM) serves as a cost-effective modality in healthcare system. We examined the correlations of TCM syndromes with modern medical indicators in health check-up population.MethodsWe studied 5231 subjects undergoing health check-up between January 1st 2008 and December 31, 2016. Physical indexes such as body weight and blood pressure and biomedical indicators like live function and tumour markers were measured. All subjects underwent colonoscopy. All subjects were classified and differentiated into five different TCM syndromes. An artificial neural network (ANN) was employed to evaluate the predictive value of TCM syndrome differentiation.ResultsOf enrolled subjects, SADH accounted for 85.8% and IDSIBSB was found in 4576 subject (87.5%). YaDSK and YiDLK accounted for 99.5% (5207) and 80.9% (4232) respectively. We found that YiDLK is correlated with abnormality of liver function indexes. The results showed that SADH is correlated with level of cholesterol in health check-up population. The results showed that the predictive ANN model showed a good fitting with an accuracy of 100%.ConclusionThe results demonstrated that TCM syndromes were closely correlated with clinical laboratory indexes regardless of health status. TCM syndrome differentiation is suggested to contribute to routine health examination as screening measure with its non-invasive nature.

scholarly journals Treatment of Oral Ulcer Based on TCM Syndrome Differentiation

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Ying Yao ◽  
Li Liu
Keyword(s):  
Quality Of Life ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Western Medicine ◽  
Severe Case ◽  
Oral Ulcer ◽  
Syndrome Differentiation ◽  
Tcm Syndrome ◽  
Chinese Medicine Treatment

Oral ulcer is a kind of ulcerative injury that occurs in the oral mucosa and is very common in clinic. In severe case, it can affect the quality of life of the patients. Western medicine treatment of oral ulcer is often prone to relapse, while the effect of traditional Chinese medicine treatment is remarkable.

scholarly journals Syndrome Differentiation and Treatment Regularity in Traditional Chinese Medicine for Type 2 Diabetes: A Text Mining Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Zhili Dou ◽  
Ye Xia ◽  
Jiawei Zhang ◽  
Yizhen Li ◽  
Yunan Zhang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Current Status ◽  
Syndrome Differentiation ◽  
Acupuncture Points ◽  
Acupoint Therapy ◽  
Clinical Databases ◽  
Tcm Syndrome

ObjectiveThe goal of this study was to systematically summarize and categorize the syndrome differentiation, medication rules, and acupoint therapy in the domestic traditional Chinese medicine (TCM) literature on type 2 diabetes mellitus (T2DM), such that guidelines and new insights can be provided for future practitioners and researchers.MethodsTaking randomized controlled trials (RCTs) on the treatment of T2DM in TCM as the research theme, we searched for full-text literature in three major clinical databases, including CNKI, Wan Fang, and VIP, published between 1990 and 2020. We then conducted frequency statistics, cluster analysis, association rules extraction, and topic modeling based on a corpus of medical academic words extracted from 3,654 research articles.ResultsThe TCM syndrome types, subjective symptoms, objective indicators, Chinese herbal medicine, acupuncture points, and TCM prescriptions for T2DM were compiled based on invigorating the kidney and Qi, nourishing Yin, and strengthening the spleen. Most TCM syndrome differentiation for T2DM was identified as “Zhongxiao” (the lesion in the spleen and stomach) and “Xiaxiao” (the lesion in the kidney) deficiency syndromes, and most medications and acupoint therapies were focused on the “Spleen Channel” and “Kidney Channel.” However, stagnation of liver Qi was mentioned less when compared with other syndromes, which did not have symptomatic medicines.ConclusionThis study provides an in-depth perspective for the TCM syndrome differentiation, medication rules, and acupoint therapy for T2DM and provides practitioners and researchers with valuable information about the current status and frontier trends of TCM research on T2DM in terms of both diagnosis and treatment.

scholarly journals Research Progress of Traditional Chinese Medicine in Prevention and Treatment of AIDS

2020 ◽  
Vol 4 (4) ◽  
Author(s):  
Guoqiang Yang ◽  
Lu Jiao
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Salvia Miltiorrhiza ◽  
Internal Resistance ◽  
Research Progress ◽  
Syndrome Differentiation ◽  
Therapeutic Effects ◽  
Hiv Replication ◽  
Deficiency Type ◽  
Tcm Syndrome

Objective: To review the research progress of using Chinese medicine ginseng to prevent and treat AIDS in China. Methods: Based on the method of TCM syndrome differentiation, Chinese medical researchers divided AIDS into four types: heat toxin stagnation type, Qi and blood deficiency type, stasis and internal resistance type, and Qi and Yin injury type. Results: The therapeutic effects of the compound preparation of traditional Chinese medicine were significant, such as Aikang capsule, Tangcao tablet, Wuweilingqi capsule, Aining granule, compound Sanhuang powder, etc. Astragalus, licorice, honeysuckle, Scutellaria, bupleurum, Salvia miltiorrhiza, Viola, Hedyotis diffusa and other 8 kinds of traditional Chinese medicine have been proved to have anti HIV effect. Conclusion: Among the 27 kinds of Chinese medicine ginseng, Andrographis paniculata, Viola, Arnebia, Arctium lappa, Sophora flavescens, honeysuckle, Guanzhong, Prunella, Coptis, Wolfberry, Wedelia and epimedium have been proved to have the effect of preventing HIV replication.

scholarly journals On the Modern Clinical Application of Wendan Decoction

2021 ◽  
Vol 5 (5) ◽  
pp. 62-64
Author(s):  
Yina Xiao ◽  
Mingjun Zhao ◽  
Zijuan He ◽  
Gejing Chen ◽  
Mingming Wei
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Clinical Application ◽  
Daily Life ◽  
Syndrome Differentiation ◽  
Wide Range ◽  
Tcm Syndrome

Wendan Decoction is one of the commonly used prescriptions in clinical practice.it has a wide range of applications. On the basis of traditional Chinese medicine (TCM) syndrome differentiation, as long as it can be added or subdivided flexibly, it can be used to conquer various difficult and miscellaneous diseases seen in daily life.

scholarly journals Therapeutic Efficacy of Fuzheng-Huayu Tablet Based Traditional Chinese Medicine Syndrome Differentiation on Hepatitis-B-Caused Cirrhosis: A Multicenter Double-Blind Randomized Controlled Trail

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Ya-Nan Song ◽  
Ji-Jia Sun ◽  
Yi-Yu Lu ◽  
Lie-Ming Xu ◽  
Yue-Qiu Gao ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Hepatitis B ◽  
Therapeutic Efficacy ◽  
Life Quality ◽  
Classification Model ◽  
Syndrome Differentiation ◽  
Double Blind ◽  
Forecasting Method ◽  
Tcm Syndrome

Aim. To evaluate and predict the therapeutic efficacy of Fuzheng-Huayu tablet (FZHY) based traditional Chinese Medicine (TCM) syndrome differentiation or TCM symptoms on chronic hepatitis B caused cirrhosis (HBC).Methods.The trial was designed according to CONSORT statement. It was a multi-center, double-blind, randomized, placebo-controlled trail. Several clinical parameters, Child-Pugh classification and TCM symptoms were detected and evaluated. The FZHY efficacy was predicted by an established Bayes forecasting method following the Bayes classification model.Results.The levels of HA and TCM syndrome score in FZHY group were significantly decreased (P<0.05) compared to placebo group, respectively. The efficacy of FZHY on TCM syndrome score in HBC patients with some TCM syndromes was better. In TCM syndrome score evaluation, there were 53 effective and 22 invalid in FZHY group. TCM symptoms predicted FZHY efficacy on HBC were close to Child-Pugh score prediction.Conclusion.FZHY decreases the levels of HA and TCM syndrome scores, improves the life quality of HBC patients. Moreover, there were different therapeutic efficacies among different TCM syndromes, indicating that accurate TCM syndrome differentiation might guide the better TCM treatment. Furthermore, the FZHY efficacy was able to predict by Bayes forecasting method through the alteration of TCM symptoms.

scholarly journals Professor Xiaoquan Du’s Seven Methods of Treating Stomachache

2021 ◽  
Vol 5 (4) ◽  
pp. 117-120
Author(s):  
Xuzhao Wang ◽  
Li Liu ◽  
Xiaoquan Du ◽  
Chunxia Ma ◽  
Wei Cui
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Clinical Diagnosis ◽  
Diagnosis And Treatment ◽  
Syndrome Differentiation ◽  
Main Symptom ◽  
Stomach Diseases ◽  
Characteristic Methods ◽  
Tcm Syndrome

Stomachache is the main symptom of stomach duct pain near the heart. Professor Xiaoquan Du is experienced in treating spleen and stomach diseases with traditional Chinese medicine (TCM) syndrome differentiation. He has vast practical TCM experience through years of clinical diagnosis and treatment, and incorporated his own characteristic methods in treatments, thereby developing seven methods for the treatment of stomachache. Clinically, methods such as “invigorating the spleen and benefiting the stomach” and “warming the middle and dispersing cold” are mostly adopted to treat stomach duct pain.

scholarly journals Evaluating the Traditional Chinese Medicine (TCM) Officially Recommended in China for COVID-19 Using Ontology-Based Side-Effect Prediction Framework (OSPF) and Deep Learning

2020 ◽  
Author(s):  
Zeheng Wang ◽  
Liang Li ◽  
Jing Yan ◽  
Yuanzhe Yao
Keyword(s):  
Deep Learning ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Side Effect ◽  
Ann Model ◽  
The Public ◽  
Supplementary Treatment ◽  
Artificial Neural Network Ann ◽  
Novel Coronavirus ◽  
Effective Drugs

Ethnopharmacological relevance: Novel coronavirus disease (COVID-19) outbroke in Wuhan has imposed a huge influence onto the society in term of the public heath and economy. However, so far, no effective drugs or vaccines have been developed. Whereas, the Traditional Chinese Medicine (TCM) has been considered as a promising supplementary treatment for the disease owing to its clinically proven performance on many diseases even like severe acute respiratory syndrome (SARS). Meanwhile, many side-effect (SE) reports suggest the SE of the TCM prescriptions cannot be ignored in curing the COVID-19, especially because COVID-19 always simultaneously leads to dramatic degradation of the patients&rsquo; physical condition. How to evaluate the TCM regarding to their latent SE is a urgent challenge. Aim of the study: In this study, we use an ontology-based side-effect prediction framework (OSPF) developed in our previous work and Artificial Neural Network (ANN)-based deep learning to evaluate the TCM prescriptions that are officially recommended in China for novel coronavirus (COVID-19). Materials and methods: Firstly, we adopted the OSPF developed in our previous work, where an ontology-based model separate all the ingredients in a TCM prescription into two categories: hot and cold. Then, we established a database by converting each TCM prescription into a vector containing the ingredient dosage and the according hot/cold attribution as well as the safe/unsafe label. And, we trained the ANN model using this database, after which a safety indicator (SI), as the complementary percentage of side-effect (SE) possibility, is then given for each TCM prescription. According to the proposed SI from high to low, we re-organize the recommended prescription list. Secondly, by using this method, we also evaluate the safety indicators of some other famous TCM prescriptions that are not in the recommended list but are used traditionally to cure flu-like diseases for extending the potential treatments. Results: Based on the SI generated in the ANN model, FTS, PMSP, and SF are the safest ones in recommended list, which all own a more-than-0.8 SI. Whereas, JHQG, LHQW, SFJD, XBJ, and SHL are the prescriptions that are most likely unsafe, where the indicators are all below 0.2. In the extra list, the indicators of XC, XQRS, CC, and CHBX are all above 0.8, and at the meantime, XZXS, SJ, QW, and KBD&rsquo;s indicators are all below 0.2. Conclusions: In total, there are seven TCM prescriptions which own the indicators more than 0.8, suggesting these prescriptions should be considered firstly in curing COVID-19, if suitable. We believe this work will provide a reasonable suggestion for the society to choose proper TCM as the supplementary treatment for COVID-19. Besides, this work also introduces a pilot and enlightening method for creating a more reasonable recommendation list of TCM to other diseases.

scholarly journals Towards an Ontology-Based Decision Support System for Syndrome-Differentiation and Treatment of Psoriasis Vulgaris in Traditional Chinese Medicine

2020 ◽  
Author(s):  
Hai Long ◽  
Zhe Wang ◽  
Yidi Cui ◽  
Junhui Wang ◽  
Bo Gao ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Psoriasis Vulgaris ◽  
Domain Ontology ◽  
Approximate Reasoning ◽  
Syndrome Differentiation ◽  
Syndrome Differentiation And Treatment ◽  
Tcm Syndrome

Abstract Background: Psoriasis is a chronic, non-communicable, painful, disfiguring and disabling disease, which is not curable and strongly declines the patients’ quality of life (QoL). However, diagnose and treatment in traditional Chinese medicine (TCM) based on syndrome differentiation has been used in practice for a long time and has also achieved some effect. Though, up to now, only few studies are available reporting on the use of semantic technologies and pertain to knowledge systems that use TCM-syndrome differentiation for information retrieval and automated reasoning. Nowadays, the diagnosis in TCM relies mainly on the personal expertise and clinical experience of the doctors. For various reasons, misdiagnoses or missed diagnoses cannot be completely excluded, leading to unexpected results.Methods: Firstly, we developed a domain ontology for syndrome differentiation of psoriasis vulgaris. For this purpose, we used the ontology editor Protégé and applied a top-down approach which adopts the framework of general formal ontology (GFO) and its middle-level core ontology GFO-TCM. Furthermore, we implement a prototype which is based on this ontology. Additionally, we also used a case-database for CBR (Case Based Reasoning) combined with fuzzy pattern recognition.Results: A prototype for diagnosis and treatment of psoriasis vulgaris, named ONTOPV-system, is proposed which is based on the principle of syndrome differentiation and treatment in TCM; this system realizes an expert-assisted decision support method which relies on a domain ontology, uses fuzzy logic reasoning, and case retrieval and is intended to support clinical diagnostic decisions for TCM practitioners.Conclusions: We designed and implemented a prototype for psoriasis diagnosis in terms of syndrome differentiation. The system can not only realize the basic functionalities of data collection, querying, browsing and navigation, but also support rule-based knowledge reasoning and customize approximate reasoning based on CBR through fuzzy logic, which can provide users with clinical decision support for TCM syndrome differentiation in diagnosis of psoriasis. In addition, it comprises a domain knowledge base of psoriasis, which is developed based on the GFO framework with good extensibility.

scholarly journals Chinese Medicine Characteristic Nursing for Mild and Ordinary Types of SARS-CoV-2 Virus Infected Patients

2020 ◽  
Vol 218 ◽  
pp. 03045
Author(s):  
Meirong Wu
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Virus Disease ◽  
Main Idea ◽  
Nursing Program ◽  
Syndrome Differentiation ◽  
Epidemic Disease ◽  
Nursing Experience ◽  
Ordinary Type ◽  
Tcm Syndrome

SARS-CoV-2 is a new type of coronavirus, its source has not been accurately traced back. According to relevant medical studies, this noncellular morphological microorganism of about 60-140 nm in length may cause severe respiratory, cardiovascular and digestive system damage to infected patients. The disease caused by the virus is named as COVID-19 (Corona Virus Disease 2019) by WHO. For COVID-19, no matter it is an anonymous asymptomatic treatment by Chinese and Western medicine, there is currently no specific medicine. The Traditional Chinese Medicine (TCM) book named as “Basic Questions · Acupuncture Theory” points out that this kind of disease is a epidemic disease, easy to infect each other, and its symptoms are similar for all ages. Based on many years of traditional Chinese medicine nursing experience and authoritative literature, the author summarizes a set of traditional Chinese medicine characteristic nursing program for mild / ordinary type of SARS-CoV-2 virus infected patients, which can make the patient recover quickly. The main idea is to improve the patients’ resistance to the coronavirus by using traditional Chinese medicine characteristic nursing such as diet conditioning, scraping, massage, plaster, baduanjin exercise, moxibustion and Chinese medicine emotion nursing on the basis of TCM syndrome differentiation and classification. The TCM characteristic nursing program summarized in this paper has been applied to patients with mild / ordinary type of new coronavirus pneumonia, and has achieved good nursing results.

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