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1.
PLoS One ; 17(10): e0275712, 2022.
Article in English | MEDLINE | ID: covidwho-2154259

ABSTRACT

BACKGROUND: At present, improving the accessibility to traditional Chinese medicine (TCM) health resources is an important component of China's health policy. This study evaluated the trends in the disparities and equity of TCM health resource allocation from 2010 to 2020 to inform optimal future local health planning and policy. METHOD: The data for this study were extracted from the China Health Statistical Yearbook (2011-2021) and China Urban Statistical Yearbook (2020). The equity and rationality of the allocation of TCM health resources at the national and provincial levels were evaluated using the Gini coefficient and the health resource aggregation degree, respectively. RESULT: The number of TCM-related institutions, beds, health staff, outpatients and admissions increased by 1.97, 2.61, 2.35, 1.72 and 2.41 times, respectively, between 2010 and 2020. The population-based Gini coefficients for health staff, beds and institutions were 0.12, 0.23 and 0.13, respectively, indicating acceptable equity, while the geographical area-based Gini index for health staff, beds and institutions were 0.65, 0.62 and 0.62, respectively, indicating serious inequity. The agglomeration degree as a function of geographical area was as follows: eastern region > central region > western region. Moreover, the institutional and health staff gaps between the geographical areas increased from 2012 to 2020. In addition, there was a relatively balanced agglomeration degree based on the population in these three regions and an increasingly equitable allocation of institutions and health staff. CONCLUSION: In recent years, China's TCM health resources and services have increased rapidly, but their proportions within the overall health system remain low. The equity and rationality of TCM health allocated by the population was better than that by the geographic area. Regional differences and inequalities, especially for institutions, still exist. A series of policies to promote the balanced development of TCM need to be implemented.


Subject(s)
Health Equity , Health Resources , China , Health Policy , Humans , Medicine, Chinese Traditional , Resource Allocation
3.
J Tradit Chin Med ; 42(6): 1006-1011, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2115566

ABSTRACT

OBJECTIVE: To characterize the tongue and pulse manifestations in asymptomatic coronavirus disease 2019 (COVID-19) cases in Shanghai. METHODS: We conducted a clinical study of 668 patients with asymptomatic infections in which we analyzed the tongue and pulse features in the Shanghai New International Expo Center mobile cabin hospital. The medical records of the patients, including tongue color, tongue coating, and pulse manifestations, were reviewed by healthcare workers. RESULTS: In total, 668 COVID-19 cases were included in the study. Patient age ranged from 5 to 96 years, with a median of 44.0 (IQR 33.0-53.0) years. Among the patients, 6.14% had comorbidities. The most common comorbid condition was diabetes (1.65%), followed by hypertension (0.89%), coronary heart disease (0.89%), thrombotic diseases (0.89%), congestive heart failure (0.60%), and stroke (0.45%). Pink-red (75.4%) was the most common tongue color, followed by red (23.4%) and pale red (1.2%). Tongue coating color and thickness were classified as white fur (9.28%), thin and yellow fur (48.65%), white greasy fur (8.98%), yellow greasy fur (24.70%), and less coating (8.39%). In addition, a large number of patients ( 300, 44.91%) presented superficial and rapid pulses, and 250 patients (37.4%) exhibited a slippery pulse. CONCLUSION: Our preliminary results showed that wind, heat, and dampness were the main etiologies of the severe acute respiratory syndrome coronavirus 2 Omicron (B.1.1.529) variant infection in traditional Chinese medicine. Furthermore, the main symptoms of the disease may be wind-heat invading the lung syndrome or damp-heat with the exuberance of virulence syndrome, which is of most significance in COVID-19 treatment.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , Child, Preschool , Child , Adolescent , Young Adult , Adult , Middle Aged , Aged , Aged, 80 and over , China/epidemiology , Medicine, Chinese Traditional/methods , Tongue
4.
Front Public Health ; 10: 1038017, 2022.
Article in English | MEDLINE | ID: covidwho-2109888

ABSTRACT

COVID-19, referred to as new coronary pneumonia, is an acute infectious disease caused by a new type of coronavirus SARS-CoV-2. To evaluate the effect of integrated Chinese medicine and Western medicine in patients with COVID-19 from overseas. Data were collected from 178 COVID-19 patients overseas at First Affiliated Hospital of Xiamen University from April 1, 2021 to July 31, 2021. These patients received therapy of integrated Chinese medicine and western medicine. Demographic data and clinical characteristics were extracted and analyzed. In addition, the prescription which induced less length of PCR positive days and hospitalization days than the median value was obtained. The top 4 frequently used Chinese medicine and virus-related genes were analyzed by network pharmacology and bioinformatics analysis. According to the chest computed tomography (CT) measurement, abnormal lung findings were observed in 145 subjects. The median length of positive PCR/hospitalization days was 7/7 days for asymptomatic subjects, 14/24 days for mild subjects, 10/15 days for moderate subjects, and 14/20 days for severe subjects. The most frequently used Chinese medicine were Scutellaria baicalensis (Huangqin), Glycyrrhiza uralensis (Gancao), Bupleurum chinense (Chaihu), and Pinellia ternata (Banxia). The putative active ingredients were baicalin, stigmasterol, sigmoidin-B, cubebin, and troxerutin. ACE, SARS-CoV-2 3CL, SARS-CoV-2 Spike, SARS-CoV-2 ORF7a, and caspase-6 showed good binding properties to active ingredients. In conclusion, the clinical results showed that integrated Chinese medicine and Western medicine are effective in treating COVID-19 patients from overseas. Based on the clinical outcomes, the putative ingredients from Chinese medicine and the potential targets of SARS-CoV-2 were provided, which could provide a reference for the clinical application of Chinese medicine in treating COVID-19 worldwide.


Subject(s)
COVID-19 , Humans , SARS-CoV-2 , Retrospective Studies , Medicine, Chinese Traditional , Hospitalization
5.
Biomed Res Int ; 2022: 4133610, 2022.
Article in English | MEDLINE | ID: covidwho-2108379

ABSTRACT

The efficacy and safety of traditional Chinese medicine (TCM) paired with western medicine in the treatment of patients with COVID-19 remains controversial. This meta-analysis was performed to identify the effects of TCM. Seven electronic databases were reviewed from the inception of these databases to 30 June 2022. A quality assessment of the included studies was performed with the Cochrane Collaboration's tool to provide a score of high, unclear, or low risk of bias. The standard software program (Stata, version 12.0, statistical software) was used for endpoint analyses. A total of 13 RCTs involving 1398 patients conducted in China were included. The cross-sectional data from various studies were plotted, and the results illustrated that the statistically higher rates of total effectiveness (RR, 1.357; 95% CI, 1.259 to 1.464; P < 0.001), improvement of chest CT (RR, 1.249; 95% CI, 1.143 to 1.356; P < 0.001), and cough improvement (RR, 1.228; 95% CI, 1.057 to 1.570; P = 0.012) and a lower incidence of conversion to severe cases (RR, 0.408; 95% CI, 0.275 to 0.605; P < 0.001) were demonstrated in the TCM group than that of the control group. Of note, the subgroup on specific TCM of Lianhua Qingwen (LQ) revealed that the experiment group was associated with a higher rate of total effectiveness (RR, 1.248; 95% CI, 1.136 to 1.371; P < 0.001) and improvement of chest CT (RR, 1.226; 95% CI, 1.110 to 1.356; P < 0.001) and a lower rate of conversion to severe cases (RR, 0.469; 95% CI, 0.311 to 0.707; P < 0.001). However, there was no significant difference in fever improvement (RD, 0.110; 95% CI, -0.063 to 0.283; P = 0.213). The findings of this meta-analysis suggest that TCM combined with western medicine is more effective in treating COVID-19 via relieving symptoms, promoting patients' recovery, and cutting the rate of patients developing into severe conditions. However, given the relevant possible biases in our study, adequately powered and better-designed studies with long-term follow-up are required to reach a firmer conclusion.


Subject(s)
COVID-19 , Drugs, Chinese Herbal , Humans , Medicine, Chinese Traditional , COVID-19/drug therapy , Cross-Sectional Studies , Drugs, Chinese Herbal/therapeutic use , Randomized Controlled Trials as Topic
6.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 39(5): 1005-1014, 2022 Oct 25.
Article in Chinese | MEDLINE | ID: covidwho-2100336

ABSTRACT

We aim to screen out the active components that may have therapeutic effect on coronavirus disease 2019 (COVID-19) from the severe and critical cases' prescriptions in the "Coronavirus Disease 2019 Diagnosis and Treatment Plan (Trial Ninth Edition)" issued by the National Health Commission of the People's Republic of China and explain its mechanism through the interactions with proteins. The ETCM database and SwissADME database were used to screen the active components contained in 25 traditional Chinese medicines in 3 prescriptions, and the PDB database was used to obtain the crystal structures of 4 proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Molecular docking was performed using Autodock Vina and molecular dynamics simulations were performed using GROMACS. Binding energy results showed that 44 active ingredients including xambioona, gancaonin L, cynaroside, and baicalin showed good binding affinity with multiple targets of SARS-CoV-2, while molecular dynamics simulations analysis showed that xambioona bound more tightly to the nucleocapsid protein of SARS-CoV-2 and exerted a potent inhibitory effect. Modern technical methods are used to study the active components of traditional Chinese medicine and show that xambioona is an effective inhibitor of SARS-CoV-2 nucleocapsid protein, which provides a theoretical basis for the development of new anti-SARS-CoV-2 drugs and their treatment methods.


Subject(s)
COVID-19 , Humans , COVID-19/drug therapy , SARS-CoV-2 , Molecular Docking Simulation , Medicine, Chinese Traditional , Molecular Dynamics Simulation , Nucleocapsid Proteins , Antiviral Agents/therapeutic use , Antiviral Agents/chemistry , Antiviral Agents/pharmacology
7.
Medicine (Baltimore) ; 101(43): e31447, 2022 Oct 28.
Article in English | MEDLINE | ID: covidwho-2097516

ABSTRACT

BACKGROUND: From the end of 2019 to now, COVID-19 is still prevalent, which poses a great threat to international public health. With the increasing number of people infected, the number of patients with COVID-19 sequelae is also increasing, but there is no specific drug for COVID-19 sequelae. In China, traditional Chinese medicine combined with acupuncture has been widely used in COVID-19 sequelae, but there is still a lack of evidence-based medicine evaluation. The purpose of this study was to evaluate the efficacy and safety of traditional Chinese medicine combined with moxibustion in the treatment of COVID-19 sequelae. METHODS: According to the retrieval strategy, the "long COVID" randomized controlled trial of traditional Chinese medicine combined with moxibustion will be search in eight databases composed of PubMed, Embase, Web of Science, China National knowledge Infrastructure Database, China Biomedical Database and China Science and Technology Journal Database, regardless of publication date or language. The study was screened according to the inclusion and exclusion criteria, and the Cochrane risk bias assessment tool was used to evaluate the quality of the study. Meta-analysis was carried out using RevMan5.3 and STATA12.0 software. Finally, the level of evidence of the results will be evaluated. RESULTS: This study will evaluate whether traditional Chinese medicine combined with moxibustion can effectively treat the symptoms of COVID-19 sequelae. CONCLUSION: This study will provide evidence whether there is benefit of traditional Chinese medicine combined with moxibustion in the treatment of COVID-19 sequelae. At the same time, our research results will provide a reference for clinical decision-making and guiding development in the future.


Subject(s)
COVID-19 , Moxibustion , Humans , Moxibustion/methods , Medicine, Chinese Traditional/methods , COVID-19/therapy , Systematic Reviews as Topic , Meta-Analysis as Topic , Research Design
9.
Phytomedicine ; 107: 154481, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2061761

ABSTRACT

BACKGROUND: Traditional Chinese medicine (TCM), as a significant part of the global pharmaceutical science, the abundant molecular compounds it contains is a valuable potential source of designing and screening new drugs. However, due to the un-estimated quantity of the natural molecular compounds and diversity of the related problems drug discovery such as precise screening of molecular compounds or the evaluation of efficacy, physicochemical properties and pharmacokinetics, it is arduous for researchers to design or screen applicable compounds through old methods. With the rapid development of computer technology recently, especially artificial intelligence (AI), its innovation in the field of virtual screening contributes to an increasing efficiency and accuracy in the process of discovering new drugs. PURPOSE: This study systematically reviewed the application of computational approaches and artificial intelligence in drug virtual filtering and devising of TCM and presented the potential perspective of computer-aided TCM development. STUDY DESIGN: We made a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Then screening the most typical articles for our research. METHODS: The systematic review was performed by following the PRISMA guidelines. The databases PubMed, EMBASE, Web of Science, CNKI were used to search for publications that focused on computer-aided drug virtual screening and design in TCM. RESULT: Totally, 42 corresponding articles were included in literature reviewing. Aforementioned studies were of great significance to the treatment and cost control of many challenging diseases such as COVID-19, diabetes, Alzheimer's Disease (AD), etc. Computational approaches and AI were widely used in virtual screening in the process of TCM advancing, which include structure-based virtual screening (SBVS) and ligand-based virtual screening (LBVS). Besides, computational technologies were also extensively applied in absorption, distribution, metabolism, excretion and toxicity (ADMET) prediction of candidate drugs and new drug design in crucial course of drug discovery. CONCLUSIONS: The applications of computer and AI play an important role in the drug virtual screening and design in the field of TCM, with huge application prospects.


Subject(s)
COVID-19 , Medicine, Chinese Traditional , Artificial Intelligence , COVID-19/drug therapy , Drug Design , Humans , Ligands , Pharmaceutical Preparations
11.
J Integr Med ; 20(6): 477-487, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-2041962

ABSTRACT

Traditional Chinese medicine, as a complementary and alternative medicine, has been practiced for thousands of years in China and possesses remarkable clinical efficacy. Thus, systematic analysis and examination of the mechanistic links between Chinese herbal medicine (CHM) and the complex human body can benefit contemporary understandings by carrying out qualitative and quantitative analysis. With increasing attention, the approach of network pharmacology has begun to unveil the mystery of CHM by constructing the heterogeneous network relationship of "herb-compound-target-pathway," which corresponds to the holistic mechanisms of CHM. By integrating computational techniques into network pharmacology, the efficiency and accuracy of active compound screening and target fishing have been improved at an unprecedented pace. This review dissects the core innovations to the network pharmacology approach that were developed in the years since 2015 and highlights how this tool has been applied to understanding the coronavirus disease 2019 and refining the clinical use of CHM to combat it.


Subject(s)
COVID-19 , Drugs, Chinese Herbal , Humans , COVID-19/drug therapy , Drugs, Chinese Herbal/pharmacology , Drugs, Chinese Herbal/therapeutic use , Network Pharmacology , Medicine, Chinese Traditional/methods , Treatment Outcome
12.
Int J Biol Sci ; 18(15): 5641-5652, 2022.
Article in English | MEDLINE | ID: covidwho-2040344

ABSTRACT

Background: Traditional Chinese Medicine (TCM) JingYinGuBiao formula (JYGB) was recommended by the Expert consensus on Traditional Chinese Medicine diagnosis and treatment of COVID-19 infection in Shanghai. We evaluated the safety and efficacy of JYGB in treating mild COVID-19 patients. Methods: A prospective, double-blind, randomized, controlled trial was conducted (ClinicalTrial.gov registration number: ChiCTR2200058695). A total of 885 patients were randomized into the treatment group (administration of JYGB,n=508) or the control group (administration of TCM placebo, n=377) with 7-day treatment. The primary outcomes were the negative conversion rate and negative conversion time of SARS-CoV2 RNA. Secondary outcomes included the hospitalized days and symptom improvement. Results: A total of 490 and 368 patients in the treatment and control groups completed the study. The cumulative negative conversion rates at 2 days, 3 days, 4 days, and 6 days post randomization in the treatment group were all markedly higher than those in the control group (13.88% vs. 9.24%, P=0.04; 32.24% vs. 16.58%, P<0.001; 51.43% vs. 36.14%, P <0.001; 77.76% vs. 69.84%, P=0.008). Compared with the control group, after JYGB treatment, the median negative conversion time (4.0 [3.0-6.0] vs. 5.0 [4.0-7.0] days, P<0.001) and hospitalized days (6.0 [4.0-8.0] vs. 7.0 [5.0-9.0] days, P<0.001) were reduced. While the symptoms were improved, there were no significant differences in symptom disappearance rates between both groups. In addition, further sub-group analysis showed that for patients with interval time ≤4 days or patients≤ 60 years, the clinical effects of JYGB were more remarkable with an increase in cumulative negative conversion rates, a decrease in negative conversion time and hospitalized days. JYGB was well tolerated without any severe side effects. Conclusion: JYGB, a TCM prescription, improves the negative conversion rate of SARS-CoV2 in mild COVID-19 patients.


Subject(s)
COVID-19 , Humans , COVID-19/drug therapy , SARS-CoV-2 , RNA, Viral , Medicine, Chinese Traditional , Prospective Studies , China , Treatment Outcome
13.
BMC Microbiol ; 22(1): 214, 2022 09 09.
Article in English | MEDLINE | ID: covidwho-2038660

ABSTRACT

BACKGROUND: Tongue coating is an important health indicator in traditional Chinese medicine (TCM). The tongue coating microbiome can distinguish disease patients from healthy controls. To study the relationship between different types of tongue coatings and health, we analyzed the species composition of different types of tongue coatings and the co-occurrence relationships between microorganisms in Chinese adults. From June 2019 to October 2020, 158 adults from Hangzhou and Shaoxing City, Zhejiang Province, were enrolled. We classified the TCM tongue coatings into four different types: thin white tongue fur (TWF), thin yellow tongue fur (TYF), white greasy tongue fur (WGF), and yellow greasy tongue fur (YGF). Tongue coating specimens were collected and used for 16S rRNA gene sequencing using the Illumina MiSeq system. Wilcoxon rank-sum and permutational multivariate analysis of variance tests were used to analyze the data. The microbial networks in the four types of tongue coatings were inferred independently using sparse inverse covariance estimation for ecological association inference. RESULTS: The microbial composition was similar among the different tongue coatings; however, the abundance of microorganisms differed. TWF had a higher abundance of Fusobacterium periodonticum and Neisseria mucosa, the highest α-diversity, and a highly connected community (average degree = 3.59, average closeness centrality = 0.33). TYF had the lowest α-diversity, but the most species in the co-occurrence network diagram (number of nodes = 88). The platelet-to-lymphocyte ratio (PLR) was associated with tongue coating (P = 0.035), and the YGF and TYF groups had higher PLR values. In the co-occurrence network, Aggregatibacter segnis was the "driver species" of the TWF and TYF groups and correlated with C-reactive protein (P < 0.05). Streptococcus anginosus was the "driver species" in the YGF and TWF groups and was positively correlated with body mass index and weight (P < 0.05). CONCLUSION: Different tongue coatings have similar microbial compositions but different abundances of certain bacteria. The co-occurrence of microorganisms in the different tongue coatings also varies. The significance of different tongue coatings in TCM theory is consistent with the characteristics and roles of the corresponding tongue-coating microbes. This further supports considering tongue coating as a risk factor for disease.


Subject(s)
Microbiota , Tongue , Adult , Bacteria/genetics , Humans , Medicine, Chinese Traditional , Microbiota/genetics , RNA, Ribosomal, 16S/genetics , Tongue/microbiology
15.
Zhongguo Zhong Yao Za Zhi ; 47(17): 4765-4777, 2022 Sep.
Article in Chinese | MEDLINE | ID: covidwho-2030500

ABSTRACT

Epidemic diseases have caused huge harm to the society. Traditional Chinese medicine(TCM) has made great contributions to the prevention and treatment of them. It is of great reference value for fighting diseases and developing drugs to explore the medication law and mechanism of TCM under TCM theory. In this study, the relationship between the TCM theory of cold pestilence and modern epidemic diseases was investigated. Particularly, the the relationship of coronavirus disease 2019(COVID-19), severe acute respiratory syndrome(SARS), and influenza A(H1 N1) with the cold pestilence was identified and analyzed. The roles of TCM theory of cold pestilence in preventing and treating modern epidemic diseases were discussed. Then, through data mining and textual research, prescriptions for the treatment of cold pestilence were collected from major databases and relevant ancient books, and their medication laws were examined through analysis of high-frequency medicinals and medicinal pairs, association rules analysis, and cluster analysis. For example, the prescriptions with high confidence levels were identified: "Glycyrrhizae Radix et Rhizoma-Bupleuri Radix-Paeoniae Radix Alba" "Glycyrrhizae Radix et Rhizoma-Pinelliae Rhizoma-Bupleuri Radix", and TCM treatment methods with them were analyzed by clustering analysis to yield the medicinal combinations: "Zingiberis Rhizoma-Aconiti Lateralis Radix Praeparata-Ginseng Radix et Rhizoma" "Poria-Atractylodis Macrocephalae Rhizoma" "Cinnamomi Ramulus-Asari Radix et Rhizoma" "Citri Reticulatae Pericarpium-Perillae Folium" "Pinelliae Rhizoma-Magnoliae Officinalis Cortex-Atractylodis Rhizoma" "Paeoniae Radix Alba-Angelicae Sinensis Radix-Glycyrrhizae Radix et Rhizoma-Bupleuri Radix-Scutellariae Radix-Rhizoma Zingiberis Recens" "Ephedrae Herba-Armeniacae Semen Amarum-Gypsum Fibrosum" "Chuanxiong Rhizoma-Notopterygii Rhizoma et Radix-Angelicae Dahuricae Radix-Platycodonis Radix-Saposhnikoviae Radix". Then, according to the medication law for cold pestilence, the antiviral active components of medium-frequency and high-frequency medicinals were retrieved. It was found that these components exerted the antiviral effect by inhibiting virus replication, regulating virus proteins and antiviral signals, and suppressing protease activity. Based on network pharmacology, the mechanisms of the medicinals against severe acute respiratory syndrome coronavirus(SARS-CoV), 2019 novel coronavirus(2019-nCoV), and H1 N1 virus were explored. It was determined that the key targets were tumor necrosis factor(TNF), endothelial growth factor A(VEGFA), serum creatinine(SRC), epidermal growth factor receptor(EGFR), matrix metalloproteinase 9(MMP9), mitogen-activated protein kinase 14(MAPK14), and prostaglandin-endoperoxide synthase 2(PTGS2), which were involved the mitogen-activated protein kinase(MAPK) pathway, advanced glycation end-products(AGE)-receptor for AGE(RAGE) pathway, COVID-19 pathway, and mTOR pathway. This paper elucidated the medication law and mechanism of TCM for the prevention and treatment of epidemic diseases under the guidance of TCM theory of cold pestilence, in order to build a bridge between the theory and modern epidemic diseases and provide reference TCM methods for the prevention and treatment of modern epidemic diseases and ideas for the application of data mining to TCM treatment of modern diseases.


Subject(s)
Aconitum , Communicable Disease Control , Communicable Diseases , Drugs, Chinese Herbal , Epidemics , Medicine, Chinese Traditional , Pinellia , Antiviral Agents , COVID-19/drug therapy , COVID-19/epidemiology , Calcium Sulfate , Communicable Diseases/drug therapy , Communicable Diseases/microbiology , Communicable Diseases/virology , Creatinine , Cyclooxygenase 2 , Drugs, Chinese Herbal/therapeutic use , Endothelial Growth Factors , Epidemics/prevention & control , ErbB Receptors , Humans , Matrix Metalloproteinase 9 , Mitogen-Activated Protein Kinase 14 , SARS-CoV-2 , TOR Serine-Threonine Kinases , Tumor Necrosis Factors
16.
BMC Complement Med Ther ; 22(1): 240, 2022 Sep 15.
Article in English | MEDLINE | ID: covidwho-2029706

ABSTRACT

BACKGROUND: To curb the spread of the first wave of the COVID-19 pandemic, the Swiss government declared a state of health emergency and ordered a legal restriction concerning the opening of healthcare institutions. In this study, we aimed to assess the proportion of traditional Chinese medicine (TCM) physicians and therapists who consulted patients regarding COVID-19 during the first wave of the pandemic in 2020 in Switzerland, as well as the extent to which COVID-19 affected their practices during the same period. METHODS: A retrospective study was performed by using a questionnaire from January to April 2021 among a random sample of TCM physicians and therapists based in Switzerland. The survey included questions on demographic characteristics, opening status of practices, channels of communication used for the medical encounter, and experience in managing the prevention, acute, and recovery stages of COVID-19 infection. RESULTS: Among the 320 participants, 76% consulted a patient regarding COVID-19 at least once. Overall, physicians and therapists consulted more patients during recovery (76.3%) and prevention (67.8%) than during the acute stage (19.8%) of the disease. Acupuncture was the most frequently used technique among TCM therapists and physicians consulting for prevention (80.4%) and recovery (92.5%), whereas Chinese pharmacopeia was the most used technique among those consulting for the acute stage (59.3%). Of those who closed their practices from March to April 2020 but kept consulting, telephone (30.4%) and home visits (29.9%) were the two principal methods of consultation. CONCLUSIONS: The restriction concerning the opening of practices induced a loss of the health workforce, especially among TCM therapists. Nonetheless, TCM therapists and physicians consulted patients regarding COVID-19, especially during the recovery stage. As there is a demand for the use of TCM in the context of COVID-19, it raises the need for a better consideration of TCM in the Swiss health care system.


Subject(s)
COVID-19 , Medicine, Chinese Traditional , Humans , Pandemics , Retrospective Studies , Switzerland
17.
J Healthc Eng ; 2022: 6337082, 2022.
Article in English | MEDLINE | ID: covidwho-2020520

ABSTRACT

In this work, an improved Apriori algorithm is proposed. The main goal is to improve the processing efficiency of the algorithm, and the idea and process of the Apriori algorithm are optimized. The proposed method is compared with the classical association rule algorithm to verify its effectiveness. Traditional Chinese medicine plays a certain role in the prevention and treatment of COVID-19. In order to deeply mine the association rules between Chinese herbal medicines for the prevention and treatment of COVID-19, this improved Apriori algorithm is applied from the retrieved published scientific literature and the guidelines for the prevention and treatment of COVID-19 published all over China. Based on the representation of traditional Chinese medicine data in binary form, the potential core traditional Chinese medicine combinations in the treatment of COVID-19 are identified. The results of association rules of Chinese herbal medicine data obtained from the real database provide an important reference for the analysis of COVID-19 combined treatment of Chinese herbal medicine.


Subject(s)
COVID-19 , Drugs, Chinese Herbal , Algorithms , COVID-19/drug therapy , China , Drugs, Chinese Herbal/therapeutic use , Humans , Medicine, Chinese Traditional
18.
Molecules ; 27(17)2022 Sep 02.
Article in English | MEDLINE | ID: covidwho-2010213

ABSTRACT

Since the outbreak of the COVID-19 pandemic, traditional Chinese medicine has played an important role in the treatment process. Furthermore, the discovery of artemisinin in Artemisia annua has reduced the incidence of malaria all over the world. Therefore, it is becoming urgent and important to establish a novel method of conducting systematic research on Chinese herbal medicine, improving the medicinal utilization value of traditional Chinese medicine and bringing great benefits to human health all over the world. Fructus Malvae, a kind of Chinese herbal medicine which has been recorded in the "Chinese Pharmacopoeia" (2020 edition), refers to the dry, ripe fruits of Malva verticillata L. Recently, some studies have shown that Fructus Malvae exhibits some special pharmacological activities; for example, it has diuretic, anti-diabetes, antioxidant and anti-tumor properties, and it alleviates hair loss. Furthermore, according to the reports, the active ingredients separated and identified from Fructus Malvae contain some very novel compounds such as nortangeretin-8-O-ß-d-glucuronopyranoside and 1-O-(6-deoxy-6-sulfo)-glucopyranosyl-2-O-linolenoyl-3-O-palmitoyl glyceride, which could be screened as important candidate compounds for diabetes- or tumor-treatment drugs, respectively. Therefore, in this research, we take Fructus Malvae as an example and systematically summarize the chemical constituents and pharmacological activity research progress of it. This review will be helpful in promoting the development and application of Fructus Malvae and will also provide an example for other investigations of traditional Chinese medicine.


Subject(s)
COVID-19 , Drugs, Chinese Herbal , COVID-19/drug therapy , Drugs, Chinese Herbal/pharmacology , Drugs, Chinese Herbal/therapeutic use , Fruit , Humans , Medicine, Chinese Traditional , Pandemics
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