Analysis of social and psychological factors influencing the treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019.

Objective To explore the sociodemographic and psychological factors influencing the continuity of treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019 (COVID-19). Methods A total of 277 patients with chronic kidney disease who were admitted to Department of Nephrology, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Apr. 2020 to Mar. 2021 were enrolled and divided into 3 groups: non-dialysis group (n=102), hemodialysis (HD) group (n=108), and peritoneal dialysis (PD) group (n=67). All patients were investigated by online and offline questionnaires, including self-designed basic situation questionnaire, self-rating anxiety scale (SAS), and self-rating depression scale (SDS). The general sociodemographic data, anxiety and depression of the 3 groups were compared, and the influence of sociodemographic and psychological factors on the interruption or delay of treatment was analyzed by binary logistic regression model. Results There were significant differences in age distribution, marital status, occupation, medical insurance type, caregiver type, whether there was an urgent need for hospitalization and whether treatment was delayed or interrupted among the 3 groups (all P0.05). The average SAS score of 65 PD patients was 38.15+/-15.83, including 53 (81.5%) patients without anxiety, 7 (10.8%) patients with mild anxiety, and 5 (7.7%) patients with moderate to severe anxiety. The average SAS score of 104 patients in the HD group was 36.86+/-14.03, including 81 (77.9%) patients without anxiety, 18 (17.3%) patients with mild anxiety, and 5 (4.8%) patients with moderate to severe anxiety. There were no significant differences in the mean score of SAS or anxiety severity grading between the 2 groups (both P0.05). The mean SDS scores of 65 PD patients were 53.42+/-13.30, including 22 (33.8%) patients without depression, 21 (32.3%) patients with mild depression, and 22 (33.8%) patients with moderate to severe depression. The mean SDS scores of 104 patients in the HD group were 50.79+/-10.76, including 36 (34.6%) patients without depression, 56 (53.8%) patients with mild depression, and 12 (11.6%) patients with moderate to severe depression. There were no significant differences in mean SDS scores or depression severity grading between the 2 groups (both P0.05). The results of intra-group comparison showed that the incidence and severity of depression were higher than those of anxiety in both groups. Multivariate binary logistic regression analysis showed that high school education level (odds ratio OR=5.618, 95% confidence interval CI) 2.136-14.776, P0.01), and unmarried (OR=6.916, 95% CI 1.441-33.185, P=0.016), divorced (OR= 5.588, 95% CI 1.442-21.664, P=0.013), urgent need for hospitalization (OR=8.655, 95% CI 3.847-19.476, P0.01) could positively promote the continuity of treatment in maintenance dialysis patients under the regular epidemic prevention and control of COVID-19. In the non-dialysis group, no sociodemographic and psychological factors were found to be associated with the interruption or delay of treatment (P0.05). Conclusion Education, marital status, and urgent need for hospitalization are correlated with the continuity of treatment in patients with chronic kidney disease on maintenance dialysis.Copyright © 2022, Second Military Medical University Press. All rights reserved.

Travel behavior adjustment based epidemic spreading model and prediction for COVID-19

Owing to the continuous variant of the COVID-19 virus, the present epidemic may persist for a long time, and each breakout displays strongly region/time-dependent characteristics. Predicting each specific burst is the basic task for the corresponding strategies. However, the refinement of prevention and control measures usually means the limitation of the existing records of the evolution of the spread, which leads to a special difficulty in making predictions. Taking into account the interdependence of people' s travel behaviors and the epidemic spreading, we propose a modified logistic model to mimic the COVID-19 epidemic spreading, in order to predict the evolutionary behaviors for a specific bursting in a megacity with limited epidemic related records. It continuously reproduced the COVID-19 infected records in Shanghai, China in the period from March 1 to June 28, 2022. From December 7, 2022 when Mainland China adopted new detailed prevention and control measures, the COVID-19 epidemic broke out nationwide, and the infected people themselves took "ibuprofen” widely to relieve the symptoms of fever. A reasonable assumption is that the total number of searches for the word "ibuprofen” is a good representation of the number of infected people. By using the number of searching for the word "ibuprofen” provided on Baidu, a famous searching platform in Mainland China, we estimate the parameters in the modified logistic model and predict subsequently the epidemic spreading behavior in Shanghai, China starting from December 1, 2022. This situation lasted for 72 days. The number of the infected people increased exponentially in the period from the beginning to the 24th day, reached a summit on the 31st day, and decreased exponentially in the period from the 38th day to the end. Within the two weeks centered at the summit, the increasing and decreasing speeds are both significantly small, but the increased number of infected people each day was significantly large. The characteristic for this prediction matches very well with that for the number of metro passengers in Shanghai. It is suggested that the relevant departments should establish a monitoring system composed of some communities, hospitals, etc. according to the sampling principle in statistics to provide reliable prediction records for researchers. © 2023 Chinese Physical Society.

Analysis of social and psychological factors influencing the treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019

Objective To explore the sociodemographic and psychological factors influencing the continuity of treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019 (COVID-19). Methods A total of 277 patients with chronic kidney disease who were admitted to Department of Nephrology, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Apr. 2020 to Mar. 2021 were enrolled and divided into 3 groups: non-dialysis group (n=102), hemodialysis (HD) group (n=108), and peritoneal dialysis (PD) group (n=67). All patients were investigated by online and offline questionnaires, including self-designed basic situation questionnaire, self-rating anxiety scale (SAS), and self-rating depression scale (SDS). The general sociodemographic data, anxiety and depression of the 3 groups were compared, and the influence of sociodemographic and psychological factors on the interruption or delay of treatment was analyzed by binary logistic regression model. Results There were significant differences in age distribution, marital status, occupation, medical insurance type, caregiver type, whether there was an urgent need for hospitalization and whether treatment was delayed or interrupted among the 3 groups (all P<0.05). The average SAS score of 65 PD patients was 38.15+/-15.83, including 53 (81.5%) patients without anxiety, 7 (10.8%) patients with mild anxiety, and 5 (7.7%) patients with moderate to severe anxiety. The average SAS score of 104 patients in the HD group was 36.86+/-14.03, including 81 (77.9%) patients without anxiety, 18 (17.3%) patients with mild anxiety, and 5 (4.8%) patients with moderate to severe anxiety. There were no significant differences in the mean score of SAS or anxiety severity grading between the 2 groups (both P>0.05). The mean SDS scores of 65 PD patients were 53.42+/-13.30, including 22 (33.8%) patients without depression, 21 (32.3%) patients with mild depression, and 22 (33.8%) patients with moderate to severe depression. The mean SDS scores of 104 patients in the HD group were 50.79+/-10.76, including 36 (34.6%) patients without depression, 56 (53.8%) patients with mild depression, and 12 (11.6%) patients with moderate to severe depression. There were no significant differences in mean SDS scores or depression severity grading between the 2 groups (both P>0.05). The results of intra-group comparison showed that the incidence and severity of depression were higher than those of anxiety in both groups. Multivariate binary logistic regression analysis showed that high school education level (odds ratio [OR]=5.618, 95% confidence interval [CI]) 2.136-14.776, P<0.01), and unmarried (OR=6.916, 95% CI 1.441-33.185, P=0.016), divorced (OR= 5.588, 95% CI 1.442-21.664, P=0.013), urgent need for hospitalization (OR=8.655, 95% CI 3.847-19.476, P<0.01) could positively promote the continuity of treatment in maintenance dialysis patients under the regular epidemic prevention and control of COVID-19. In the non-dialysis group, no sociodemographic and psychological factors were found to be associated with the interruption or delay of treatment (P>0.05). Conclusion Education, marital status, and urgent need for hospitalization are correlated with the continuity of treatment in patients with chronic kidney disease on maintenance dialysis.Copyright © 2022, Second Military Medical University Press. All rights reserved.

An observational study on the safety of COVID-19 vaccination in patients with myasthenia gravis.

OBJECTIVE: There is concern that the coronavirus disease (COVID-19) vaccine may trigger or worsen autoimmune diseases. The objective of this study was to determine the impacts of COVID-19 vaccination on symptom severity in patients with myasthenia gravis (MG). METHODS: A total of 106 enrolled patients with MG who were vaccinated against COVID-19 were followed up, and a questionnaire was used to document in detail the exacerbation of muscle weakness after vaccination and all other uncomfortable reactions after vaccination. Demographic, clinical characteristics, medication, and vaccination data were collected by follow-up interview. The main observation outcome was whether the MG symptoms of patients were exacerbated. The definition of exacerbation is according to the subjective feeling of the patient or a 2-point increase in daily life myasthenia gravis activity score relative to before vaccination, within 30 days after vaccination. RESULTS: Of 106 enrolled patients [median age (SD) 41.0 years, 38 (35.8%) men, 53 (50.0%) with generalized MG, 74 (69.8%) positive for acetylcholine receptor antibody, and 21 (19.8%) with accompanying thymoma], muscle weakness symptoms were stable in 102 (96.2%) patients before vaccine inoculation. Muscle weakness worsened in 10 (9.4%) people after vaccination, of which 8 patients reported slight symptom worsening that resolved quickly (within a few days). Two (1.9%) of patients showed serious symptom aggravation that required hospitalization. CONCLUSION: Our results suggest that inactivated virus vaccines against COVID-19 may be safe for patients with MG whose condition is stable. Patients with generalized MG may be more likely to develop increased muscle weakness after vaccination.

The diagnostic values of lung ultrasound for ARDS

OBJECTIVE: Acute respiratory distress syndrome (ARDS) is a critical disease commonly found in many clinical cases, with a mortality rate of approximately 50%. Early diag-nosis and intervention are important for improv-ing ARDS prognosis. In this study, the applica-tions of lung ultrasound in ARDS diagnosis and assessment are reviewed to clarify its key clini-cal values and application prospects. MATERIALS AND METHODS: According to the standard diagnosis of ARDS based on the Berlin definition, CXR or CT examination should be conducted. However, both the blurred images of the former, as well as the inconvenience and high risks of the latter, impose restrictions on their application in critically ill patients.RESULTS: Lung ultrasound was shown to im-prove safety, effectiveness, lacked radiation, can be performed bedside, and offers dynam-ic functionality.CONCLUSIONS: It may be a suitable approach to replace or complement traditional imaging ex-aminations with lung ultrasound.

Research on University Teaching Quality Evaluation and Guarantee System Based on Block Chain Technology

Influenced by the COVID-19 epidemic in the past two years, colleges and universities at home and abroad have adopted a combination of online and offline teaching reform, education informatization and intelligent talent training methods, which have become the focus of research for educators. The teaching quality is related to the quality of talent cultivation, and the intelligence, fairness and accuracy of the teaching evaluation system are particularly important. And block chain technology is decentralized and safe and reliable features, so the development of the technology based on big data and chain blocks obeys the law of education development of teaching evaluation system, to solve the shortage of the current appraisal system, and realize the sharing of teaching resources, integrate and optimize the teaching resources, promoting the standardization and standardization of teaching resources construction, To promote the construction and better development of disciplines in colleges and universities. © 2022 IEEE.

[The differential diagnosis of pulmonary infiltrates in cancer patients during the outbreak of the 2019 novel coronavirus disease].

Objective: To investigate the principles of differential diagnosis of pulmonary infiltrates in cancer patients during the outbreak of novel coronavirus (2019-nCoV) by analyzing one case of lymphoma who presented pulmonary ground-glass opacities (GGO) after courses of chemotherapy. Methods: Baseline demographics and clinicopathological data of eligible patients were retrieved from medical records. Information of clinical manifestations, history of epidemiology, lab tests and chest CT scan images of visiting patients from February 13 to February 28 were collected. Literatures about pulmonary infiltrates in cancer patients were searched from databases including PUBMED, EMBASE and CNKI. Results: Among the 139 cancer patients who underwent chest CT scans before chemotherapy, pulmonary infiltrates were identified in eight patients (5.8%), five of whom were characterized with GGOs in lungs. 2019-nCoV nuclear acid testing was performed in three patients and the results were negative. One case was a 66-year-old man who was diagnosed with non-Hodgkin lymphoma and underwent CHOP chemotherapy regimen. His chest CT scan image displayed multiple GGOs in lungs and the complete blood count showed decreased lymphocytes. This patient denied any contact with confirmed/suspected cases of 2019-nCoV infection, fever or other respiratory symptoms. Considering the negative result of nuclear acid testing, this patient was presumptively diagnosed with viral pneumonia and an experiential anti-infection treatment had been prescribed for him. Conclusions: The 2019 novel coronavirus disease (COVID-19) complicates the clinical scenario of pulmonary infiltrates in cancer patients. The epidemic history, clinical manifestation, CT scan image and lab test should be taken into combined consideration. The 2019-nCoV nuclear acid testing might be applied in more selected patients. Active anti-infection treatment and surveillance of patient condition should be initiated if infectious disease is considered.

College Students Online Education Evaluation Through SWOT Analysis During COVID-19

The COVID-19 epidemic has disrupted the normal teaching and learning in universities, which poses significant challenges to college education. The traditional face-to-face learning mode has been switched to online (distance) learning, causing various influences on students' academic performance. As higher education plays a central role in technology innovation and society development, it is of great importance to investigate and improve online education in the context of COVID-19. This study distributed online questionnaires to college students from 30 provinces or municipalities in China to evaluates the SWOT (Strengths, Weaknesses, Opportunities, and Threats) factors of shifting from traditional learning to online learning during COVID-19 Pandemic. The SWOT analysis has been employed to construct 16 kind of internal and external evaluation factors and 4 kind of improvement strategies for assess online education. The basic data of subjective weight method - AHP comes from the questionnaire survey, and the weight value of SWOT factors are determined through the questionnaire survey results. The fuzzy MARCOS approach is used to select the most suitable strategies for its effective implementation. Several coping strategies are suggested to improve the online education in post-pandemic era, which is essential for higher education and promoting a civilized and sustainable society. "By reforming and innovating the teacher led teaching mode, stimulate students' interest in learning, get rid of the boring learning state, create a good learning atmosphere and improve the teaching quality" is the most effective strategy to enhance the online learning experience and increase students' satisfaction. This methodology is applicable with a case study concerning the students' online education in pandemic and the validity of this approach is presented through comparative analysis and sensitivity analysis. Through example verification, it is found that SWOT method is suitable for online education evaluation research no matter how the research object changes.

New Advances in Nanomaterial-Based Antiviral Strategies

The ongoing coronavirus disease 2019 (COVID-19) pandemic and other major viral infectious diseases have become a significant threat to people's life and economic/social development. In recent years, with the development of nanotechnology, nanomaterial-based antiviral agents have been extensively studied. However, the clinical applications of antiviral nanomaterials are still limited. Herein, the recent advances in nanomaterial-based antiviral strategies, mainly including antiviral nanodrugs, drug nanocarriers, and nanovaccines, are summarized. The clinical challenges and prospects of nanomaterial-based antiviral strategies are also discussed.

Exploration of nitrogen-doped grape peels carbon dots for baicalin detection

Baicalin, a flavonoid compound extracted from the rhizome of Scutellar iae Baicalensis, plays a vital role in improving liver function after injury, reducing liver disease and treating primary liver cancer, which is also the first SARS-CoV-2 3CLpro virus inhibitor according to the latest research data published in Bio-Rxiv. Therefore, constructing a simple and highly sensitive analytical method for the determination of baicalin is of great significance for the clinical and pharmacy settings. Herein, for the first time, carbon dots are explored for baicalin detection. Using biomass waste grape peels as the organic carbon source, nitrogen-doped fluorescent carbon dots (PT-NCDs) were fabricated, which were synthesized perfectly by a simple, environmentally friendly and one-step solid-phase thermal method without adding any other organic or acid/base reagents. Based on the synergistic effect of photo-induced electron transfer and dynamic quenching, a quenched fluorescence sensor for the determination of baicalin with a good linear range of 0.1-20 mu M and a satisfactory detection limit of 43.8 nM was constructed, which successfully quantified trace amount of baicalin in baicalin capsules, human serum and urine samples. The results indicate that PT-CDs are expected to become potential sensing materials for the real-time monitoring of baicalin in organisms, which is very important for our health. (C) 2021 Elsevier Ltd. All rights reserved.

[Analysis of the development trend and severity of the COVID-19 panidemic in the global world]

OBJECTIVE: To analyze the recent severity of COVID-19 in various countries. METHODS: Data were ollected on the epidemic situation of COVID-19 in various countries as of January 16, 2021, and the scale and overall trend of the epidemic were retrospectively described;combined with the recent trend of newly confirmed cases, from January 10 to 16 (the 54th week) and the newly confirmed cases indexes, such as the number and incidence density the severity of the epidemic was classified. Feasible suggestions were put forward based on the variation of the virus, actual data of vaccine research and development and possible existence in many countries. RESULTS: Up to January 16, 2021, there were 92 510 419 confirmed cases worldwide;4 849 301 new confirmed cases were confirmed in the 54th week, and they were still growing. Among all the continents, the cumulative number of confirmed cases in Europe, North America, and Asia has exceeded 21 million, and the number of new confirmed cases in a single week in North America, South America and Asia were all increasing. Among the countries, the cumulative number of confirmed cases in 18 countries including the United States, India, and Brazil was more than 1 million, accounting for 77.04% of the total number of cumulative confirmed cases in the world. Eleven countries including the United States, Brazil, France, Spain, Colombia, The United Kingdom, Russia, Germany, South Africa, Italy, and India are at higher risk of the epidemic;The United States, Brazil, France, Spain, and Colombia were still experiencing new confirmed cases and increasing status, the risk of the epidemic was greater. Novel coronavirus mutates frequently, up to February 2021, there had been 3 931 mutant genotypes in the world. At the same time, a total of 11 vaccines were successfully launched, however we were still facing some troubles, such as the global shortage of vaccines, the public's willingness to vaccinate needed to be improved, and equity in the distribution of vaccines. CONCLUSION: The global epidemic situation is still getting worse, with repeated epidemics in all the continents and countries, and has not been fundamentally controlled. At the continent level, North America, South America, and Europe have the most severe epidemics;at the national level, The United States, Brazil, France, Spain, Colombia and other countries have higher epidemic risks. Focusing on the severely affected countries will help bring the global epidemic under control as soon as possible. Under the premise of ensuring the safety and effectiveness of the vaccines, it is a key and feasible direction to improve the yield and vaccination rate of the vaccines, shorten the onset time of the vaccines and prolong the immune persistence.

The dynamics of cross-boundary fire-Financial contagion between the oil and stock markets

Motivated by the complex dynamics between the oil and stock markets, this study develops a dynamic Markov regime switching-copula-extreme value theory model to quantitatively investigate financial contagion and its characteristics between these two markets. The proposed model is applied to daily returns on crude oil prices and the stock markets in the United States and China over six major extreme downside risk events. We find that financial contagion is shorter, stronger, and more susceptible to extreme downside shocks in the United States than in China. In addition, the COVID-19 crisis shows the largest financial contagion compared with previous crises.

[Laboratory testing, prevention and control of asymptomatic carriers of coronavirus disease 2019].

With many hard efforts, the epidemic prevention and control work in China has borne successful, accelerating the gradual restoration of production, living order and routine medical work. However, there is increasing evidence that many patients with COVID-19 are asymptomatic, but they are potential transmitter of the virus. There are difficulties in screening for asymptomatic infections, which makes it more difficult for national prevention and control of this epidemic. Therefore, it is urgent to develop better screening and laboratory testing for asymptomatic infections with COVID-19 with high speed, sensitivity and specificity. It is also important to improve our risk assessment, prevention and control strategies to further prevent the spread of the epidemic.

[Effects on the integrated treatment of colorectal cancer patients during COVID-19 epidemic in China: a cross-sectional study].

Objective: To understand the treatment status and effects on colorectal cancer (CRC) patients in China during the COVID-19 pandemic, and provide evidence for decision-making for health-care workers. Methods: The method of cross-sectional study was applied. A questionnaire survey of CRC patients in China was carried out. Their basic and treatment information during the COVID-19 were collected and associated effects on treatment, nursing, state of psychology and needs of social support were analyzed. Results: Of the 1147 participants in the study, 635 (55.4%) were male and 512 (44.6%) were female with mean age of (52.8±12.8) years. The treatment or follow up of 896 (78.1%) CRC patients were affected during the COVID-19 outbreak. A total of 253 patients (22.1%) had their treatment regiments changed, of whom 141 (12.3%) had their chemotherapy regiments postponed or changed, and 83 patients (7.2%) had their surgical treatment affected. Among the above 83 patients, 39 patients (3.4%) underwent emergency surgery. A total of 277 patients (24.1%) had their out-of-hospital care needs affected, mainly due to maintenance of PICC (49.5%, 137/277). CRC patients had poorer sleep quality and increased levels of insomnia than before (P<0.001), and were more distressed, anxious, depressed, and angry than they were before. They presented the more requirements of help (P<0.001). In addition, 376 patients (32.8%) had received telemedicine services, but only 36.4% (137/376) of them were satisfied. Conclusions: The COVID-19 epidemic has effect on the integrated treatment of CRC patients include diagnosis, treatment, examination and prognosis. While protecting CRC patients from being infected with SARS-CoV-2, health-care workers should also actively help them to receive timely and correct treatment and pay attention to their nursing, nutritional, psychological and social support needs in the COVID-19 epidemic.