The Effect of FOXP3+Regulatory T Cells on Infectious and Inflammatory Diseases

CD4+CD25+FOXP3+regulatory T cells (Tregs) contribute to the maintenance of immune homeostasis and tolerance in the body. The expression levels and functional stability of FOXP3 control the function and plasticity of Tregs. Tregs critically impact infectious diseases, especially by regulating the threshold of immune responses to pathogenic microorganisms. The functional regulatory mechanism and cell-specific surface markers of Tregs in different tissues and inflammatory microenvironments have been investigated in depth, which can provide novel ideas and strategies for immunotherapies targeting infectious diseases.Copyright © 2021. All rights reserved.

[Latent period and incubation period with associated factors of COVID-19 caused by Omicron variant].

Objective: To estimate the latent period and incubation period of Omicron variant infections and analyze associated factors. Methods: From January 1 to June 30, 2022, 467 infections and 335 symptomatic infections in five local Omicron variant outbreaks in China were selected as the study subjects. The latent period and incubation period were estimated by using log-normal distribution and gamma distribution models, and the associated factors were analyzed by using the accelerated failure time model (AFT). Results: The median (Q1, Q3) age of 467 Omicron infections including 253 males (54.18%) was 26 (20, 39) years old. There were 132 asymptomatic infections (28.27%) and 335 (71.73%) symptomatic infections. The mean latent period of 467 Omicron infections was 2.65 (95%CI: 2.53-2.78) days, and 98% of infections were positive for nucleic acid test within 6.37 (95%CI: 5.86-6.82) days after infection. The mean incubation period of 335 symptomatic infections was 3.40 (95%CI: 3.25-3.57) days, and 97% of them developed clinical symptoms within 6.80 (95%CI: 6.34-7.22) days after infection. The results of the AFT model analysis showed that compared with the group aged 18-49 years old, the latent period [exp(ß)=1.36 (95%CI: 1.16-1.60), P<0.001] and incubation period [exp(ß)=1.24 (95%CI: 1.07-1.45), P=0.006] of infections aged 0-17 years old were prolonged. The latent period [exp(ß)=1.38 (95%CI: 1.17-1.63), P<0.001] and the incubation period [exp(ß)=1.26 (95%CI: 1.06-1.48), P=0.007] of infections aged 50 years old and above were also prolonged. Conclusion: The latent period and incubation period of most Omicron infections are within 7 days, and age may be a influencing factor of the latent period and incubation period.

Clinical Application and Advantages of Sanjiao Theory in Sanren Decoction.

Sanrentang,originally contained in the Regulations on Febrile Diseases written by WU Ju-tong in the Qing dynasty,was composed of eight traditional Chinese herbs to treat damp-warm diseases. It is a treatment method of gradually clearing away damp heat of tri-jiao,with characteristics of separating dispersion and mobilizing discharge. "Separating dispersion" means dispersion in separated ways,with different ways to eliminate dampness to export the dampness,heat,evil and turbid out of the body. "Mobilizing discharge" means discharge to stretch and unblock the Qi,to get rid of dampness and evil. It can be seen,Sanrentang,as a desiccating formula,taking "separating dispersion and mobilizing discharge" as the cubic basis,has a significant effect on both internal and external dampness associated with pathogenic heat syndrome,and its clinical application is quite extensive. After consulting the data of the past 10 years,the authors gave a brief overview on the syndrome theory,clinical application and pharmacological effects of Sanrentang, and elaborated the therapeutic effect and pharmacological effect of Sanrentang in the clinical application of upper,middle and lower Tri-jiao respectively,providing theoretical reference for effective development and utilization of Sanrentang. Coronavirus disease-2019(COVID-19)swept the world in early 2020 and it is a great challenge for the medical community to seek for effective prevention and treatment methods. For COVID-19,although the cause of the disease belongs to the Qi of "pestilence",many doctors have different opinions on the pathogenic characteristics. However,they all agree with the clinical characteristics of "dampness". COVID-19,which has the attribute of "dampness evil",is so sticky that it can't be cured at once. In addition to the main symptoms such as fever and cough,it is also characterized by the middle-jiao dampness symptoms such as poor appetite,fullness of abdomen,loose stool and diarrhea. It is worthy to further explore the application prospect of Sanrentang in COVID-19 prevention and treatment.Copyright © 2021, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.

Research on two-dimensional code scanning and automatic recording device for human body temperature measurement based on stm32

With the outbreak and normal development of COVID-19, the effective detection and recording of body temperature has become a new focus of our attention. At present, there is no complete system to measure temperature, automatic record and specific information at home and abroad. To this end, combined with professional knowledge, our team designed a two-dimensional code scanning and human body temperature automatic recording device with STM32F1 as the core. The device STM32F1 development board is the main control chip. By connecting the WIFI module through the serial port, STM32F1 uses the function of wireless communication. Through the communication protocol, the link between the router and the ESC cloud server of Ali Cloud is utilized. The router or mobile data is transmitted to the user side (APP, applets) according to the specified communication protocol. Inside the development board, the code of each part is written to complete the device integrating code scanning and temperature measurement, which can be displayed and alarm through the node (OLED display screen). This will play a good role in preventing the spread of COVID-19. The system can be used in hospitals, communities, railway stations, shopping malls and many other public places. © 2022 IEEE.

Expert consensus on diagnosis and treatment of adult mental stress-induced hypertension in China (2022 Revision): Part B

Mental stress has been recognized as an essential risk factor for hypertension. Therefore, experts specializing in cardiology, psychiatry, and Traditional Chinese Medicine organized by the Psycho-cardiology Group, College of Cardiovascular Physicians of Chinese Medical Doctor Association, and Hypertension Group of the Chinese Society of Cardiology proposed the expert consensus on the diagnosis and treatment of adult mental stress-induced hypertension in March 2021, which includes the epidemiology, etiology, diagnosis, and treatment of the mental stress-induced hypertension. This consensus will hopefully facilitate the clinical practice of this disorder. In addition, the COVID-19 pandemic has become one of the primary global sources of psychosocial stressors since the beginning of 2020, and the revision of this expert consensus in 2022 has increased the relevant content. This consensus consists of two parts. The sections of Part A include (I) Background and epidemiological characteristics, (II) Pathogenesis, and (III) Diagnosis. The sections of Part B contain (IV) Treatment recommendations, and (V) Prospects. This article presents Part B of the consensus. © 2022 Heart and Mind ;Published by Wolters Kluwer - Medknow.

Expert consensus on diagnosis and treatment of adult mental stress induced hypertension in China (2022 revision): Part A

Mental stress has been recognized as an essential risk factor for hypertension. Therefore, experts specializing in cardiology, psychiatry, and Traditional Chinese Medicine organized by the Psycho-Cardiology Group of College of Cardiovascular Physicians of Chinese Medical Doctor Association and Hypertension Group of Chinese Society of Cardiology proposed the expert consensus on the diagnosis and treatment of adult mental stress-induced hypertension in March 2021, which includes the epidemiology, etiology, diagnosis, and treatment of the mental stress-induced hypertension. This consensus will hopefully facilitate the clinical practice of this disorder. In addition, the COVID-19 pandemic has become one of the primary global sources of psychosocial stressors since the beginning of 2020, and the revision of this expert consensus in 2022 has increased the relevant content. This consensus consists of Part A and Part B. Part A includes (I) Background and epidemiological characteristics, (II) Pathogenesis, and (III) Diagnosis and Part B includes (IV) Treatment recommendations and (V) Prospects. This part presents the content of Part A. © 2022 Heart and Mind ;Published by Wolters Kluwer - Medknow.

Global natural gas development trend and enlightenment

In 2021, the contradiction between natural gas supply and demand in various regions around the world was prominent caused by multiple factors, such as the reduced global COVID-19, slowly recovered world economy, resumed growth of energy consumption, intertwined geopolitical and financial risks, significantly risen and violently fluctuated energy prices. The global natural gas development trend is predicted by analyzing the development direction of the petroleum industry, natural gas supply and demand base level, trend of trade volume, and natural gas reserves distribution and output change. The results show that natural gas reserves are abundant in the world, and the investment in natural gas exploration and development has rebounded driven by the demand growth and price rise;The proportion of natural gas in the world energy consumption structure is increasing, which plays an important role in promoting the global energy transition;The global natural gas supply and demand shows a pattern of "tight balance”, in which the Asia Pacific is the major importer of natural gas, and it is expected that natural gas will surpass oil to grow to be the world's largest energy. In the future, it is suggested that China should actively adjust its energy strategy, enhance its linkage with international energy market, improve the energy prices monitoring and judgement mechanism, timely adjust its foreign strategic cooperation in energy business, increase domestic investment in natural gas exploration and development, enhance multilateral international energy cooperation, and stick to the bottom line of energy security, accelerate the construction of natural gas operation system integrating "reserve increase, supply security and price stabilization”, and improve the ability to respond to crises, so as to better cope with the challenges posed by global energy development and natural gas market fluctuations. Copyright © 2022, Petroleum Industry Press, PetroChina. All rights reserved.

Clinical Application and Advantages of Sanjiao Theory in Sanren Decoction.

Sanrentang,originally contained in the Regulations on Febrile Diseases written by WU Ju-tong in the Qing dynasty,was composed of eight traditional Chinese herbs to treat damp-warm diseases. It is a treatment method of gradually clearing away damp heat of tri-jiao,with characteristics of separating dispersion and mobilizing discharge. "Separating dispersion" means dispersion in separated ways,with different ways to eliminate dampness to export the dampness,heat,evil and turbid out of the body. "Mobilizing discharge" means discharge to stretch and unblock the Qi,to get rid of dampness and evil. It can be seen,Sanrentang,as a desiccating formula,taking "separating dispersion and mobilizing discharge" as the cubic basis,has a significant effect on both internal and external dampness associated with pathogenic heat syndrome,and its clinical application is quite extensive. After consulting the data of the past 10 years,the authors gave a brief overview on the syndrome theory,clinical application and pharmacological effects of Sanrentang, and elaborated the therapeutic effect and pharmacological effect of Sanrentang in the clinical application of upper,middle and lower Tri-jiao respectively,providing theoretical reference for effective development and utilization of Sanrentang. Coronavirus disease-2019(COVID-19)swept the world in early 2020 and it is a great challenge for the medical community to seek for effective prevention and treatment methods. For COVID-19,although the cause of the disease belongs to the Qi of "pestilence",many doctors have different opinions on the pathogenic characteristics. However,they all agree with the clinical characteristics of "dampness". COVID-19,which has the attribute of "dampness evil",is so sticky that it can't be cured at once. In addition to the main symptoms such as fever and cough,it is also characterized by the middle-jiao dampness symptoms such as poor appetite,fullness of abdomen,loose stool and diarrhea. It is worthy to further explore the application prospect of Sanrentang in COVID-19 prevention and treatment.Copyright © 2021, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.

Graph Convolutional Network-Based Rumor Blocking on Social Networks

Misinformation and rumors can spread rapidly and widely through online social networks, seriously endangering social stability. Therefore, rumor blocking on social networks has become a hot research topic. In the existing research, when users receive two opposing opinions, they tend to believe the one arrives first. In this article, we argue that users will dialectically trust the information based on their own opinions rather than the rule of first-come-first-listen. We propose a confidence-based opinion adoption (CBOA) model, which considers the opinion and confidence according to the traditional linear threshold (LT) model. Based on this model, we propose the directed graph convolutional network (DGCN) method to select the <inline-formula> <tex-math notation="LaTeX">$k$</tex-math> </inline-formula> most influential positive cascade nodes to suppress the propagation of rumors. Finally, we verify our method on four real network datasets. The experimental results show that our method can sufficiently suppress the propagation of rumors and obtains smaller number of rumor nodes than the baseline algorithms. IEEE

Neurological impact of COVID-19: Sub-acute brain microstructural alterations in self-isolated individuals

Objective: This study investigates the effects of COVID-19 on brain microstructure among those recently recovering from COVID-19 through self isolation. Background: Microstructural differences have previously been detected in comparisons of COVID-19 patients with controls, particularly in regions related to the olfactory system. The olfactory system is connected with the caudate, putamen, thalamus, precuneus, and cingulate regions. Design/Methods: Here we report diffusion magnetic resonance imaging (3 T Siemens MRI) findings from 40 patients (mean age: 43.7, 68% female) who self-isolated after testing positive for COVID (COV+), and 14 COVID negative (COV-) subjects (mean age: 43, 64% female) who had flu-like symptoms. This is part of the Canadian-based NeuroCOVID-19 study. Fractional anisotropy (FA), mean diffusivity (MD), mode of anisotropy (MO), free water fraction (F), tissue-specific FA (FAt) and tissue-specific MD (MDt) were obtained using data with b=700 and 1400 (DIPY free-water model). Regions of interest in the grey matter and white matter were delineated using FreeSurfer. Differences between groups were assessed using an analysis of variance (ANOVA), the Kruskal-Wallis Test and the Mann-Whitney Test, corrected for false-discovery rate of 0.05. Effect size (Cohen's d) was also computed (d>0.45 deemed large effect). Results: In the COV+ group, all three tests revealed decreased FA and FAt in the insula, and increased MD in the parstriangularis cortex. Increased FA and FAt in the cuneus (along with decreased MD) was also found. MD was reduced in COV+ in the temporal and supramarginal areas. MO was lower in COV+ in the insula and amygdala regions. Conclusions: In patients, higher MD with lower FA and MO suggest increased extracellular fluids, while lower MD with decreased FA and MO may suggest necrotic debris built up following inflammation. The cuneus and insula are involved in visual and taste processing, respectively. This study highlights the need to study neurological effects of COVID-19.

“Long-hauler ” impact of COVID-19 on brain microstructure: a 3-month follow-up study

Objective: This study investigates the chronic effects of COVID-19 on brain microstructure. Background: Microstructural differences have previously been detected in comparisons of COVID-19 patients with controls, particularly in the insula, cuneus, inferior temporal and anterior cingulate regions. Design/Methods: Here we report diffusion magnetic resonance imaging (3 T Siemens MRI) findings from 20 participants (mean age: 45.3, 55% female), both immediately after recovery and at a 3-month follow-up. Fractional anisotropy (FA), mean diffusivity (MD), mode of diffusivity (MO), free water fraction (F), tissue-specific FA (FAt) and tissue-specific MD (MDt) were obtained using DTI data with b=700 and 1400 (DIPY free-water model). Regions of interest in the grey matter and white matter were delineated using FreeSurfer. To assess differences between baseline and follow-up, a paired t-test, the Wilcoxon Test and Friedman Test were performed, corrected for false-discovery rate of 0.05. Effect size (Cohen's d) was also computed (d>0.45 deemed large effect). Results: All three tests revealed decreased F in the hippocampus and decreased MD in the parahippocampal region of the WM at follow-up. In the GM, F was increased in the medial orbitofrontal region. In the WM, MD was increased in the paracentral region and MDt was increased in the parahippocampal and lateral orbitofrontal regions. Conclusions: These results suggest that microstructural abnormalities persist following recovery. Increased extracellular fluid (i.e. F and MD) in the frontal lobe suggest spreading of COVID-19 impact, while decreased F and MD in the hippocampal region suggest debris accumulation as part of the inflammatory process. None of the regions affected in sub-acute COVID-19 appear to fully recover within three months.

UNIQUE SARS-CoV-2 FURIN-CLEAVAGE SITE VARIANTS in URINE of SEVERE COVID-19 PATIENTS

Background: Although the respiratory tract is the initial site of infection for SARS-CoV-2, coronavirus disease 19 (COVID-19) can affect multiple organ systems with devastating consequences. Acute kidney injury (AKI) has emerged as a leading cause of morbidity, affecting more than a third of adult patients hospitalized with COVID-19. SARS-CoV-2 infection is believed to cause AKI through different mechanisms, including interaction with the angiotensin-converting enzyme 2 (ACE2) receptor, cytokine storm, hemodynamic compromise, and direct viral infection of kidney cells. A major barrier to studying the kidney as a potential site of viral infection and replication is the limited availability of fresh kidney tissue from human subjects. To overcome this limitation, we assessed the presence of SARS-CoV-2 RNA in urine of critically ill COVID-19 patients. Methods: Fifty-two sequential urine and nasal swab specimens were collected from 18 patients (median (IQR) age 57 (50-62) years) hospitalized in the intensive care unit (ICU) with COVID-19. We performed single genome amplification and sequence analysis of the full-length SARS-CoV-2 spike gene to determine the frequency of genetic mutations in urine compared to those amplified from nasal swabs. Results: Forty single genome SARS-CoV-2 spike sequences were amplified in urine samples from four of the ten patients that developed AKI. Analysis of these sequences revealed that deletions and mutations of the SARS-CoV-2 furin-cleavage site (RRAR) were the predominant mutations observed in urine-derived viral RNA (30/40). For 3 of the 4 patients the corresponding nasal swabs were negative for SARS-CoV-2, suggesting that these patients were shedding viral RNA in urine but had cleared the infection in the respiratory tract. None of the 15 nasal swab sequences derived from the fourth patient had deletions or mutations in the furin-cleavage site. Conclusion: Our study identified unique mutations/deletions in the SARS-CoV-2 spike gene amplified from urine samples of critically ill COVID-19 patients. Notably, these mutations/deletions have been infrequently observed in SARS-CoV-2 genome sequences from respiratory tract samples deposited in the publicly available databases but have been reported to occur after passaging the virus in the African green monkey kidney cell line, Vero-E6, raising the possibility of SARS-CoV-2 renal tropism or cell/organ specific selection of viral variants. Our data provide in vivo evidence of a phenomenon previously reported only in vitro.

Forward privacy multikeyword ranked search over encrypted database

Dynamic searchable encryption (SE) aims at achieving varied search function over encrypted database in dynamic setting, which is a trade-off in efficiency, security, and functionality. Recent work proposes a file-injection attack which can successfully attack by utilizing some information leaked in the update process. To mitigate this attack, some SE schemes with forward privacy are proposed. However, these schemes are designed to achieve single keyword or conjunctive keyword search, which cannot support multikeyword search. Moreover, these schemes do not consider the function of results ranking. In this paper, we propose a forward privacy multikeyword ranked search scheme over encrypted database. We design a forward privacy multikeyword search scheme based on the classic MRSE scheme. Our scheme makes the cloud cannot obtain the actual match results of the past query with the newly updated files by adding the well-chosen dummy elements to the original index and query vectors. We rank the search results based on the matched keyword number and the (Formula presented.) rule in the dynamic setting. Our scheme uses only the symmetric encryption primitive. We implement our scheme for COVID-19 data set and the experimental evaluation results show that the proposed scheme is secure and efficient. © 2022 Wiley Periodicals LLC.

The Application of the Edge-cloud Computing System Based on Reinforcement Learning in Large- scale Mask Recognition

As the epidemic of the COVID-19 continues, many venues need to be installed with recognition equipment at the entrance to recognize whether people wear masks. However, it is not economical to install multiple high-performance devices with a great recognition model only for mask recognition, and not fast to use the combination of camera shooting devices and cloud computing. Therefore, this paper put forward an edge-cloud computing system, whose purpose is to use the poor computing resources of the edge server to share the computing pressure of the cloud server. In other words, the recognition tasks are assigned not only to the cloud device but also to the edge devices with poor computing power and a simple recognition model. The scheduling optimization problem is solved by reinforcement learning method. In the case of insufficient and imperfect data sets, this system still shows high recognition accuracy and fast response speed.

Information anxiety, intergroup emotion, and rational coping in hotel employees under normalized pandemic prevention measures

This study applied the intergroup emotion theory framework to explore the internal driving framework of hotel employees' information anxiety and the internal correlation mechanism of intergroup emotions and coping actions under normal epidemic prevention conditions. In this study, a mixed research method was used. Based on 105 videos and 15 in-depth interview records, the internal driving framework of hotel employees' information anxiety identified in the qualitative research context and the internal correlation mechanism of hotel employees’ information anxiety, analysed within the framework of intergroup sentiment analysis, was examined based on 213 valid questionnaires. The results verified the internal relationship between information anxiety of hotel employees and behaviour tendency and intergroup relationship, and also confirmed information anxiety of employees as a mediating variable on intergroup relationship and cognitive evaluation. © 2021 The Authors

Automatic Lung Lobe Analysis with COVID-19 Support

Objectives: Coronavirus disease 2019 (COVID-19) is an infectious lung disease affecting more than 90 millionindividuals worldwide as of Jan 11, 2021, and still significantly impacts our daily life. In 2020, we presented anautomatic lung segmentation workflow to analyze lung function quantitatively at the lung lobe level [1]. To furthersupport and contribute to COVID-19 analysis, we extended our work in [1] and developed a fully automatic researchprototype analysis workflow using the deep learning based segmentation [2] trained for lung fissure delineation and opacity detection with over 8000 chest CT image volumes. The objective of this study is to evaluate the performance of the proposed workflow with publicly available datasets. Methods: The RSNA International COVID-19 Open Radiology Database (RICORD) provided imaging data with annotations and supporting clinical information for education and research [3]. In this study, we used the first batch of 120 datasets from RICORD to evaluate our workflow. One dataset is of irregular size and was excluded from theanalysis. The remaining datasets comprised 43 datasets scanned with General Electric (GE) Healthcare scanners,18 datasets scanned with Siemens Healthineers scanners, and 58 datasets scanned with scanners from undisclosed vendors. For annotation, the reconstructed slice thickness was 3 mm for 76 datasets, 2 mm for 33datasets, and between 2 and 3 mm for the remaining 10 datasets. The datasets were split to 3 parts and annotatedby 3 teams respectively. In our evaluation, we segmented both lung lobes and infectious opacity for each dataset, then compared the infectious opacity with the annotation. Following the RICORD annotation Quality Assurance (QA)check, 104 of the 119 datasets with adequate image quality were included for quantitative and statistical analysisusing two types of correlations, Pearson's coefficient, and Kendall's Tau. The result from datasets with inadequatequality was also provided for comparison. We also evaluated the inter-team variability of annotation. Results: The automatic lung analysis workflow completed successfully for all patient datasets. For the 104 datasets with adequate image quality, the mean and standard deviation of the percentage of infectious opacity in the wholelung (segmented in our workflow) is 31.8±26% for our segmentation and 33.5±30% for the annotation. ThePearson's coefficient is 0.765 (p<.0001) and the Kendall's Tau is 0.720 (p<.0001). The results are then grouped by the annotation team. The Pearson's coefficients are 0.765(p<.0001) for team 1, 0.670(p<.0001) for team 2, and0.827(p<.0001) for team 3. The Kendall's Tau is 0.704(p<.0001) for team 1, 0.608(p<.0001) for team 2, and0.778(p<.0001) for team 3. The segmentation results from our analysis workflow have the highest correlation with the annotation from team 3, while the lowest correlation with the annotation from team 1. For the datasets with inadequate quality noted in RICORD QA check (breathing motion, artifacts, etc.), the Pearson's coefficient isdecreased to 0.429(p=0.188) and the Kendall's Tau is decreased to 0.348(p=0.206). Conclusions: The image quality plays a critical role in the accuracy of segmentation. With these completely unseenpublic datasets from multiple vendors and relatively suboptimal reconstruction quality, our automatic segmentationshows reasonable and acceptable results compared with the RICORD manual annotation. The inter-team variability of annotation is observed and will also impact clinical reading. This evaluation demonstrates that our extendedautomatic lung analysis workflow has the ability to provide robust automatic lung lobe segmentation with COVID-19analysis support for SPECT/CT and PET/CT lung ventilation and perfusion studies.

The Innovative Development Strategy of Service Trade in Wuhan Based on SWOT Analysis in the Context of Sino-US Trade Friction and the COVID-19 Pandemic

The negative impact of Sino-US trade friction on China and Wuhan's economy, politics, trade and many other fields is extensive and profound, and the COVID-19's outbreak has exacerbated this impact. Under these circumstances, this paper analyzes the strategic situation of Wuhan's service trade based on SWOT analysis. Accordingly, this paper puts forward countermeasures for the innovative development of service trade in Wuhan. © 2021 The Authors, published by EDP Sciences.

Metabolic associated fatty liver disease increases coronavirus disease 2019 disease severity in nondiabetic patients

BACKGROUND AND AIM: Coronavirus disease 2019 (COVID-19) has attracted increasing worldwide attention. While diabetes is known to aggravate COVID-19 severity, it is not known whether nondiabetic patients with metabolic dysfunction are also more prone to more severe disease. The association of metabolic associated fatty liver disease (MAFLD) with COVID-19 severity in nondiabetic patients was investigated here. METHODS: The study cohort comprised 65 patients with (i.e. cases) and 65 patients without MAFLD (i.e. controls). Each case was randomly matched with one control by sex (1:1) and age (+/-5 years). The association between the presence of MAFLD (as exposure) and COVID-19 severity (as the outcome) was assessed by binary logistic regression analysis. RESULTS: In nondiabetic patients with COVID-19, the presence of MAFLD was associated with a four-fold increased risk of severe COVID-19;the risk increased with increasing numbers of metabolic risk factors. The association with COVID-19 severity persisted after adjusting for age, sex, and coexisting morbid conditions. CONCLUSION: Health-care professionals caring for nondiabetic patients with COVID-19 should be cognizant of the increased likelihood of severe COVID-19 in patients with MAFLD.

Construction of TCM Health Management Model for Patients with Convalescence of Coronavirus Disease Based on Artificial Intelligence

Coronavirus Disease(COVID-19) is prevalent worldwide. Discharged patients generally have decreased lung function, immune function, psychological and social adaptability. Providing dynamic, comprehensive and continuous health services for patients returning to the community and families has become a prominent problem in the global public health field. In recent years, artificial intelligence (AI) and big data management has been widely used in the field of medicine, but it is still relatively blank in the field of health management. Based on this, this study is guided by the traditional Chinese medicine(TCM) thinking of 'pre-preventing disease, preventing pre-existing disease, and preventing post-relapse', combined with TCM health management plan, referring to the three-way linkage model of hospital-community-family, constructing TCM health management model for patients with convalescence of COVID-19 based on artificial intelligence. This article will tap the advantages of TCM resources, improve the quality of patient recovery 'Rehabilitation', break the time and space limitations of health management and provide TCM health management methods for patients with convalescence with a view to human health promotion. © 2020 IEEE.