Traditional Chinese medicine (TCM) is an important part of primary health care in Asian countries that has utilized complex herbal formulations (consisting 2 or more medicinal herbs) for treating diseases over thousands of years. There seems to be a general assumption that the synergistic therapeutic effects of Chinese herbal medicine (CHM) derive from the complex interactions between the multiple bioactive components within the herbs and/or herbal formulations. However, evidence to support these synergistic effects remains weak and controversial due to several reasons, including the very complex nature of CHM, misconceptions about synergy and methodological challenges to study design. In this review, we clarify the definition of synergy, identify common errors in synergy research and describe current methodological approaches to test for synergistic interaction. We discuss the strengths and weaknesses of these models in the context of CHM and summarize the current status of synergy research in CHM. Despite the availability of some scientific data to support the synergistic effects of multi-herbal and/or herb-drug combinations, the level of evidence remains low, and the clinical relevancy of most of these findings is undetermined. There remain significant challenges in the development of suitable methods for synergistic studies of complex herbal combinations.
Objectives Severe or critical COVID-19 is associated with intensive care unit admission, increased secondary infection rate, and would lead to significant worsened prognosis. Risks and characteristics relating to secondary infections in severe COVID-19 have not been described. Methods Severe and critical COVID-19 patients from Shanghai were included. We collected lower respiratory, urine, catheters, and blood samples according to clinical necessity and culture and mNGS were performed. Clinical and laboratory data were archived. Results We found 57.89% (22/38) patients developed secondary infections. The patient receiving invasive mechanical ventilation or in critical state has a higher chance of secondary infections (P<0.0001). The most common infections were respiratory, bloodstream and urinary infections, and in respiratory infections, the most detected pathogens were gram-negative bacteria (26, 50.00%), following by gram-positive bacteria (14, 26.92%), virus (6, 11.54%), fungi (4, 7.69%), and others (2, 3.85%). Respiratory Infection rate post high flow, tracheal intubation, and tracheotomy were 12.90% (4/31), 30.43% (7/23), and 92.31% (12/13) respectively. Secondary infections would lead to lower discharge rate and higher mortality rate. Conclusion Our study originally illustrated secondary infection proportion in severe and critical COVID-19 patients. Culture accompanied with metagenomics sequencing increased pathogen diagnostic rate. Secondary infections risks increased after receiving invasive respiratory ventilations and intravascular devices, and would lead to a lower discharge rate and a higher mortality rate.
Background The asymptomatic patients with SARS-CoV-2 can act as an unseen carrier for magnifying the transmission of COVID-19. Aims This study was designed to appraise the burden of asymptomatic individuals and estimate their occurrence among different age groups and gender by reviewing the existing published data on asymptomatic people with COVID-19. Methods Three electronic databases: PubMed, Embase and Web of Science (WoS) were used to search studies as per the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) and the search was limited to English language. The study population of this review includes asymptomatic individuals infected by COVID-19. All original articles which have reported cases of the COVID-19 patients with no symptoms until 31 April 2020 were included in the study. Random effects model was applied to analyze pooled data on the prevalence of symptomless cases among total COVID-19 infected patients and also on different age groups and gender. Results In the meta-analysis of 16 studies, comprising 2,788 COVID-19 infected patients, the pooled prevalence of asymptomatic cases was 48.2% (95% CI, 30%-67%). Among the asymptomatic patients, 55.5% (95% CI, 43.6%-66.8%) were female and 49.6% (95% CI, 20.5%-79.1%) were children. Conclusion About half of the COVID-19 infected patients were asymptomatic cases. Children and females were more apparent to be asymptomatic patient of COVID-19 and could act as unseen carrier of SARS-CoV-2. Symptom based screening only, might fail to identify all SARS-CoV-2 infections escalating the threat of global spread of SARS-CoV-2. Therefore, mass surveillance system tracking asymptomatic cases is a pressing need of public health, paying special attention to female and young children, which could aid in prevention and containment of this unprecedented pandemic.
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