Development and prospect of clinical research on lung transplantation in post-COVID-19 era

Lung transplantation has been advanced for nearly half a century around the globe, and it has been developed rapidly for over 20 years in China. The field of lung transplantation in China has been gradually integrated into the international community. The outbreak of novel coronavirus pneumonia (COVID-19) in 2020 brought big challenges, as well as diverted the worldwide attention to the development of lung transplantation in China, accelerating international communication and cooperation. With the steadily deepening of clinical and basic research on lung transplantation for severe cases of COVID-19, organ transplant physicians have deepened the understanding and thinking of the maintenance of donors, selection of elderly and pediatric candidates, and perioperative management of recipients, as the future perspective of lung transplantation in China. For interdisciplinary research related to lung transplantation, it is necessary to carry out multi-center clinical trials with qualified study design and constantly promote the theoretic and practical innovation.Copyright © 2021 The authors.

The influence of the COVID-19 pandemic on work connectivity behavior.

Introduction: Based on event system theory, this study analyzed the influence of the event strength of major public health outside the organization on work connectivity behavior. Methods: The study collected data from 532 employees on their psychological status and working style during the COVID-19 pandemic through an online questionnaire survey. Results: The results show that driven by financial risk perception, female employees are more willing to pay work connectivity behavior than male employees and unmarried employees are more willing to pay work connectivity behavior than married employees. The risk perception of employees aged 28-33 has the greatest impact on workplace behavior. The impact of financial risk perception on behavior of employees without children is much higher than that of employees with children. The influence of financial risk perception and social risk perception on their behavior of employees with master's degree is much higher than that of health risk perception, but the workplace behavior of employees with doctor's degree is mainly affected by health risk perception. Discussion: The novelty of the Corona Virus Disease event has a negative influence on work connectivity duration. The criticality, disruption of the Corona Virus Disease event has a positive influence on work connectivity duration. The criticality of the Corona Virus Disease event has a positive influence on work connectivity frequency. Employees' social risk perception, financial risk perception and health risk perception has a positive influence on the work connectivity duration and work connectivity frequency.

Improvement of stress adaptation and insulin resistance in women with GDM by WeChat group management during novel coronavirus pneumonia.

Aim: To evaluate the improvement of glycemic control and stress adaptation in patients with GDM by mobile phone WeChat management during novel coronavirus pneumonia. Methods: In this study, 75 women with GDM were included, of whom 35 were included in mobile WeChat group management as the GDM-M group and 40 as the GDM group. Results: After mobile WeChat group management for 4 weeks, E and NE were lower. MDA was lower, and SOD was higher. HOMA-IR was lower. E, NE, and cortisol were related to HOMA-IR positively, MDA was positively related to HOMA-IR, and SOD was negatively related to HOMA-IR. E and cortisol were positively related to MDA but negatively related to SOD. Conclusion: The stress adaptation disorder and insulin resistance in patients with GDM who have completed mobile WeChat group management can be improved during novel coronavirus pneumonia. Mobile WeChat management played a positive role in improving the insulin resistance of women with GDM under special circumstances, which may reduce the risk of maternal and fetal complications.

Edge Blockchain Construction Efficiency Maximization for COVID-19 Detection in a Body Area Network

The detection of traces of patients with novel coronavirus pneumonia (COVID-19) is a prerequisite for avoiding the rapid spread of the virus. However, too much patient privacy data uploaded to the cloud centre will overwhelm the network and cause user information security to not be guaranteed. In this paper, we propose a personal prediction method for COVID-19 infections by perceiving the information of worn biosensors and monitoring equipment in a body area network (BAN). Edge computing and blockchain technology are introduced to solve the problems of user privacy protection and perceptual data transmission and storage. We first construct an edge body area network (EBAN) and characterize the maximization function of the edge blockchain cost by considering the constraints on the bandwidth, storage space, and energy consumption. Then we build a blockchain without redundant perception information and select effective transmission paths by using the edge blockchain construction efficiency maximization (EBCEM) algorithm. Finally, we use the network simulator (NS-2) to simulate the performance of the EBCEM algorithm and compare it with the excellent assignment game algorithm (AGA) in terms of the effective requester ratio (ERR), effective provider ratio (EPR), edge blockchain construction success ratio (EBCSR), and average storage usage ratio (ASUR) in the EBAN. Author

Evolutionary Optimization of COVID-19 Vaccine Distribution with Evolutionary Demands

Vaccination uptake has become the key factor that will determine our success in containing the COVID-19 pandemic. Efficient distribution of vaccines to inoculation spots is crucial to curtailing the spread of the novel coronavirus pneumonia (COVID-19) pandemic. Normally, in a big city, a huge number of vaccines need to be transported from central depot(s) through a set of satellites to widely-scattered inoculation spots by special-purpose vehicles every day. Such a large two-echelon vehicle routing problem is computationally difficult. Moreover, the demands for vaccines evolve with the epidemic spread over time, and the actual demands are hard to determine early and exactly, which not only increases the problem difficulty but also prolongs the distribution time. Based on our practical experience of COVID-19 vaccine distribution in China, we present a hybrid machine learning and evolutionary computation method, which first uses a fuzzy deep learning model to forecast the demands for vaccines for each next day, such that we can pre-distribute the forecasted number of vaccines to the satellites in advance;after obtaining the actual demands, it uses an evolutionary algorithm (EA) to route vehicles to distribute vaccines from the satellites/depots to the inoculation spots on each day. The EA saves historical problem instances and their high-quality solutions in a knowledge base, so as to capture inherent relationship between evolving problem inputs to solutions;when solving a new problem instance on each day, the EA utilizes historical solutions that perform well on the similar instances to improve initial solution quality and hence accelerate convergence. Computational results on real-world instances of vaccine distribution demonstrate that the proposed method can produce solutions with significantly shorter distribution time compared to state-of-the-arts, and hence contribute to accelerating the achievement of herd immunity. IEEE

Guidelines for organ donation and transplantation in China during novel coronavirus pneumonia epidemic / 器官移植

In December 2019, a novel coronavirus pneumonia outbreak in Hubei Province spread rapidly to many provinces and cities. As organ transplantation is in the stage of high-quality development in China, how to carry out organ donation and transplantation in a scientific and orderly manner during the severe epidemic, summarize and analyze the clinical characteristics of COVID-19 on organ transplant recipients, and optimize the prevention, early diagnosis and treatment strategies of COVID-19 to ensure medical safety is essential to the development of organ transplantation and the treatment of the patients with end-stage organ failure as well as the overall situation of the prevention and control of COVID-19 epidemic. Thus, based on the instructions of the National Health Committee, the guidelines are issued by several experts organized by Branch of Organ Transplantation of Chinese Medical Association, providing help to the workers and managers of organ donation and transplantation in China. Approved by the Standing Committee of Branch of Organ Transplantation of Chinese Medical Association, the guidelines adopt the 'expert advice', 'prevention and control strategies' and 'guidance' published in China for reference, and will be revised upon changes of the further understanding of COVID-19 and epidemic control situation.

Clinical outcome of standardized oxygen therapy nursing strategy in COVID-19.

BACKGROUND: Novel coronavirus pneumonia (COVID-19) has become a global pandemic. However, a technical standard for oxygen therapy nursing, as well as how this would improve clinical outcomes and symptoms, is yet to be explored. METHODS: From February 9, 2020, to March 31, 2020, 58 patients of confirmed COVID-19 were admitted to the 20th ward of the Eastern Branch, Renmin Hospital of Wuhan University. Fifteen patients who did not receive oxygen therapy and 13 patients who were transferred from other hospitals were excluded. The rest of the 30 patients that received standardized oxygen therapy in our unit were included in the study. Baseline characteristics, symptoms, and finger pulse oxygen saturation were collected during hospitalization. RESULTS: Clinical outcomes of the 30 patients were as follows: 27 patients (90.00%) were cured and discharged; 3 patients (10.00%) who continued to stay in hospital were stabilized with symptoms relieved. The fingertip oxygen saturation was 94.80%±3.49% at ICU admission and 97.8%±1.27% when transferred out of ICU after standardized oxygen therapy (P<0.005). The symptoms of dyspnea, fatigue, and muscle aches of the patients were improved when transferred out of ICU, compared with their condition when admitted to ICU (P<0.05). CONCLUSIONS: The standardized oxygen therapy nursing strategy for patients with COVID-19 emphasizes the nursing measurement, which focuses on the patient's oxygenation. It is led by nurses and starts oxygen therapy at an earlier stage. It not only improves the clinical outcomes of critical patients but also effectively reduces the infection risk of medical staff while emphasizing nursing quality management.

Exploration on the feasibility of moxibustion in prevention and treatment of COVID-19 from the perspective of modern medical mechanism.

Novel coronavirus pneumonia (COVID-19) is rampant in many countries and regions and there is no time to delay the exploration of the scheme for its prevention and control. The pathogenic characteristics of novel coronavirus and the effect of moxibustion for warming up yang and strengthening the antipathogenic qi were analyzed in this paper. From the perspective of modern medical mechanism, during the prevention and treatment of novel coronaviral infection, moxibustion may be able to prevent and treat COVID-19 by improving the body's immunity so as to conquer virus, by anti-inflammation to alleviate the inflammatory response of COVID-19 and by improving lung function to inhibit pulmonary fibrosis.

Clinical characteristics of novel coronavirus pneumonia in organ transplant recipients and management strategy during the epidemic (1st edition) / 器官移植

In December 2019, a number of cases of pneumonia with unknown causes were successively reported in multiple hospitals in Wuhan City, Hubei Province, China. The pathogen is a novel coronavirus, which can lead to novel coronavirus pneumonia (COVID-19) and even threaten the patients' lives. In the following, the COVID-19 epidemic is spreading rapidly in many provinces and cities. It is particularly important to summarize and analyze the clinical characteristics of COVID-19 in solid organ transplantation (SOT) recipients and to optimize the prevention, early diagnosis and treatment strategies. Therefore, we organized Chinese experts in the field of organ transplantation to draft this article according to the characteristics of lung infection of SOT recipients and the characteristics of current COVID-19 by referring to relevant guidelines and specifications at home and abroad, aiming to provide reference for transplant physicians in China. This management strategy will be revised at any time with the deepening understanding of the COVID-19 infection.

Expert consensus on rehabilitation practice during outbreaks of the novel coronavirus pneumonia and other infectious respiratory diseases / 中华物理医学与康复杂志

The outbreak of the novel coronavirus pneumonia (NCP), an acute infectious respiratory disease in Wuhan, China in December 2019, which was officially named COVID-19 by WHO, has caused enormous burden on society and health services. To ensure safe rehabilitation practice during the epidemic, the Chinese Association of Rehabilitation Medicine formed an expert group to develop a consensus statement for rehabilitation practice. The consensus statement provides guidance on: (1) safeguarding medical staff, patients, caregivers and visitors; and (2) timing and methods of effective rehabilitation interventions for treatment of COVID-19 patients. It also emphasizes that non-COVID-19 patients still require rehabilitation intervention during the epidemic outbreak, bearing in mind the safety of staff and patients and making adaptations according to the individual conditions and the patients′ actual environment. This expert consensus statement applies to departments of rehabilitation medicine and related disciplines in general hospitals as well as to specialized rehabilitation facilities, and it provides valuable reference for rehabilitation professionals working with infectious respiratory diseases in the future.