Efficacy and safety of Qi and Blood Tonic Chinese Medicines in the treatment of COVID-19: A protocol for systematic review and meta-analysis.

BACKGROUND: Coronavirus disease in 2019 (COVID-19) is a sudden public event affecting all human beings, with the rapid transmission, extensive groups affected, many complications, and high mortality. Traditional Chinese Medicine has a long history of preventing and treating infectious diseases, and numerous studies have shown that Traditional Chinese Medicine, especially herbal medicine, has a positive effect on the prevention, treatment, and post-healing recovery of this COVID-19, and herbal medicines to supplement qi and blood often occupy a certain proportion of it. However, there is no relevant meta-analysis to date. Therefore, this study aims to evaluate the efficacy and safety of qi and blood tonic herbal medicines in the treatment of COVID-19 through Systematic Review and meta-analysis to provide a reference basis for widespread clinical application. METHODS: We will search from the following databases for the period from the time of database construction to March 1st, 2023. The English databases include: PubMed, MEDLINE, EMBASE, Cochrane library, WOS, Google Scholar, and CENTRAL; The Chinese databases include: China National Knowledge Infrastructure, China Biomedical Literature Database, Technology Journal Database, and Wanfang. Randomized controlled trials in English or Chinese that include Chinese herbal medicines for tonifying Qi and Blood in the treatment of patients with COVID-19 will be included. Data were independently screened and collected by 2 investigators. The risk of bias for each trial was assessed using the Cochrane Risk of Bias Tool 2.0. RevMan 5.3 software was used for the meta-analysis of the data. Primary outcome indicators included cure, mortality, and exacerbation rates (change in disease severity category, patient admission to ICU, etc.). Secondary outcome indicators included recovery rate or duration of major symptoms (e.g., fever, cough, fatigue, and weakness, etc.), rate or duration of nucleic acid conversion for severe acute respiratory syndrome coronavirus-2, improvement or recovery of chest CT performance, length of hospital stay, and other adverse events. RESULTS: This protocol adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-P guidelines to ensure clarity and completeness of reporting in all phases of the systematic review. CONCLUSION: This study will provide evidence regarding the efficacy and safety of Qi and Blood Tonic Chinese Medicines for the treatment of COVID-19. PROSPERO REGISTRATION NUMBER: CRD42022361822 (https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022361822).

Constructing tongue coating recognition model using deep transfer learning to assist syndrome diagnosis and its potential in noninvasive ethnopharmacological evaluation.

ETHNOPHARMACOLOGICAL RELEVANCE: Tongue coating has been used as an effective signature of health in traditional Chinese medicine (TCM). The level of greasy coating closely relates to the strength of dampness or pathogenic qi in TCM theory. Previous empirical studies and our systematic review have shown the relation between greasy coating and various diseases, including gastroenteropathy, coronary heart disease, and coronavirus disease 2019 (COVID-19). However, the objective and intelligent greasy coating and related diseases recognition methods are still lacking. The construction of the artificial intelligent tongue recognition models may provide important syndrome diagnosis and efficacy evaluation methods, and contribute to the understanding of ethnopharmacological mechanisms based on TCM theory. AIM OF THE STUDY: The present study aimed to develop an artificial intelligent model for greasy tongue coating recognition and explore its application in COVID-19. MATERIALS AND METHODS: Herein, we developed greasy tongue coating recognition networks (GreasyCoatNet) using convolutional neural network technique and a relatively large (N = 1486) set of tongue images from standard devices. Tests were performed using both cross-validation procedures and a new dataset (N = 50) captured by common cameras. Besides, the accuracy and time efficiency comparisons between the GreasyCoatNet and doctors were also conducted. Finally, the model was transferred to recognize the greasy coating level of COVID-19. RESULTS: The overall accuracy in 3-level greasy coating classification with cross-validation was 88.8% and accuracy on new dataset was 82.0%, indicating that GreasyCoatNet can obtain robust greasy coating estimates from diverse datasets. In addition, we conducted user study to confirm that our GreasyCoatNet outperforms TCM practitioners, yet only consuming roughly 1% of doctors' examination time. Critically, we demonstrated that GreasyCoatNet, along with transfer learning, can construct more proper classifier of COVID-19, compared to directly training classifier on patient versus control datasets. We, therefore, derived a disease-specific deep learning network by finetuning the generic GreasyCoatNet. CONCLUSIONS: Our framework may provide an important research paradigm for differentiating tongue characteristics, diagnosing TCM syndrome, tracking disease progression, and evaluating intervention efficacy, exhibiting its unique potential in clinical applications.

[Discussion on prevention and treatment of infectious diseases by using moxibustion for warming yang and strengthening body resistance to eliminate pathogenic cold and qi in ancient and mo-dern literature].

Moxibustion therapy has a good therapeutic effect in warming yang, strengthening body resistance to dispel pathogenic cold and qi, thus being able to prevent and treat infectious diseases. There are many records about clinical application of moxibustion to infectious diseases in ancient and modern literature. In the present paper, we expound the specific methods of moxibustion for strengthening the body resistance and preventing infectious diseases and its application in the treatment of miasma, bone steaming disease, cholera, pestis, epidemic hemorrhagic fever and so on, in the records of ancient and modern times, and expound its effectiveness. On this basis, we also proposed the feasibility of moxibustion in the prevention and treatment of COVID-19, a new type of infectious disease currently.

The interpretation of human body in traditional Chinese medicine and its influence on the characteristics of TCM theory.

Traditional Chinese medicine (TCM) has a long history of serving the Chinese people's health since its birth, including playing an important role in treating and preventing COVID-19 in 2020. The fact that TCM has been used in China for thousands of years shows the value and reason why it must exist. Although TCM has been or is being questioned, there is no doubt about its importance in terms of efficacy. This article focuses on how TCM understands the human body in comparison with anatomy knowledge in western medicine and discusses the development and advances of TCM in terms of the body view and the theory innovation. The purpose is to let foreign scholars get better understanding of TCM from this perspective.

The combined therapy of a traditional Chinese medicine formula and Western medicine for a critically ill case infected with COVID-19.

OBJECTIVE: Presentation of a case illustrating the benefits of traditional Chinese medicine (TCM) for treatment of Coronavirus disease 2019 (COVID-19) in critically ill patients. CLINICAL FEATURES AND OUTCOME: A 58-year-old woman presented with cough, fever, dizziness, chest tightness, polypnea and poor appetite. She was admitted to Guizhou Provincial People's hospital, and diagnosed with critically ill type of COVID-19 in February 2020. According to the patient's symptoms and signs, the TCM syndrome differentiation was qi deficiency, dampness-stasis and toxin accumulation. Then she received the combined therapy of a modified Chinese herbal formula and Western medicine. During a twelve-day period of treatment, her respiratory distress and appetite quickly improved. Abnormal laboratory indicators were resumed in time and lung lesions in CT scan largely absorbed. No side effects associated with this Chinese herbal formula were found. Before discharge, two consecutive nasopharyngeal swabs were shown to be negative for severe acute respiratory coronavirus 2 (SARS-CoV-2). CONCLUSIONS: Our case report suggests that collaborative treatments with traditional Chinese medicine prove beneficial in the management of COVID-19 in critically ill patients. In order to give optimal care for this COVID-19 crisis for the whole world, Chinese medicine practitioners and Western medical doctors should work together in frontline.

Can Chinese Medicine Be Used for Prevention of Corona Virus Disease 2019 (COVID-19)? A Review of Historical Classics, Research Evidence and Current Prevention Programs.

OBJECTIVE: Since December 2019, an outbreak of corona virus disease 2019 (COVID-19) occurred in Wuhan, and rapidly spread to almost all parts of China. This was followed by prevention programs recommending Chinese medicine (CM) for the prevention. In order to provide evidence for CM recommendations, we reviewed ancient classics and human studies. METHODS: Historical records on prevention and treatment of infections in CM classics, clinical evidence of CM on the prevention of severe acute respiratory syndrome (SARS) and H1N1 influenza, and CM prevention programs issued by health authorities in China since the COVID-19 outbreak were retrieved from different databases and websites till 12 February, 2020. Research evidence included data from clinical trials, cohort or other population studies using CM for preventing contagious respiratory virus diseases. RESULTS: The use of CM to prevent epidemics of infectious diseases was traced back to ancient Chinese practice cited in Huangdi's Internal Classic (Huang Di Nei Jing) where preventive effects were recorded. There were 3 studies using CM for prevention of SARS and 4 studies for H1N1 influenza. None of the participants who took CM contracted SARS in the 3 studies. The infection rate of H1N1 influenza in the CM group was significantly lower than the non-CM group (relative risk 0.36, 95% confidence interval 0.24-0.52; n=4). For prevention of COVID-19, 23 provinces in China issued CM programs. The main principles of CM use were to tonify qi to protect from external pathogens, disperse wind and discharge heat, and resolve dampness. The most frequently used herbs included Radix astragali (Huangqi), Radix glycyrrhizae (Gancao), Radix saposhnikoviae (Fangfeng), Rhizoma Atractylodis Macrocephalae (Baizhu), Lonicerae Japonicae Flos (Jinyinhua), and Fructus forsythia (Lianqiao). CONCLUSIONS: Based on historical records and human evidence of SARS and H1N1 influenza prevention, Chinese herbal formula could be an alternative approach for prevention of COVID-19 in high-risk population. Prospective, rigorous population studies are warranted to confirm the potential preventive effect of CM.