Psychological Capital and Alienation among patients with COVID-19 infection: The mediating role of Social Support (preprint)

Background COVID-19 infection continues all over the world, causing serious physical and psychological impacts to patients. Patients with COVID-19 infection suffer from various negative emotional experiences such as anxiety, depression, mania, and alienation, which seriously affect their normal life and is detrimental to the prognosis. Our study is aimed to investigate the effect of psychological capital on alienation among patients with COVID-19 and the mediating role of social support in this relationship.Methods The data were collected in China by the convenient sampling method. A sample of 259 COVID-19 patients completed the psychological capital, social support and social alienation scale and the structural equation model was adopted to verify the research hypotheses.Results Psychological capital was significantly and negatively related to the COVID-19 patients’ social alienation (p < .01). And social support partially mediated the association between psychological capital and patients’ social alienation (p < .01).Conclusion Psychological capital is critical to predicting COVID-19 patients’ social alienation. Social support plays an intermediary role and explains how psychological capital alleviates the sense of social alienation among patients with COVID-19 infection.

Neutralization effect of plasma from vaccinated COVID-19 convalescents on SARS-CoV-2 Omicron variants

Background COVID-19 has caused a global pandemic and the death toll is increasing. With the coronavirus continuously mutating, Omicron has replaced Delta as the most widely reported variant in the world. Studies have shown that the plasma of some vaccinated people does not neutralize the Omicron variant. However, further studies are needed to determine whether plasma neutralizes Omicron after one- or two-dose vaccine in patients who have recovered from infection with the original strain. Methods The pseudovirus neutralization assays were performed on 64 plasma samples of convalescent COVID-19 patients, which were divided into pre-vaccination group, one-dose vaccinated group and two-dose vaccinated group. Results In the three groups, there were significant reductions of sera neutralizing activity from WT to Delta variant (B.1.617.2), and from WT to Omicron variant (B.1.1.529) (ps<0.001), but the difference between Delta and Omicron variants were not significant (p>0.05). The average neutralization of the Omicron variant showed a significant difference between pre-vaccination and two-dose vaccinated convalescent individuals (p<0.01). Conclusions Among the 64 plasma samples of COVID-19 convalescents, whether vaccinated or not, Omicron (B.1.1.529) escaped the neutralizing antibodies, with a significantly decreased neutralization activity compared to WT. And two-dose of vaccine could significantly raise the average neutralization of Omicron in convalescent individuals.

Prompt and precise identification of various sources of infection in response to the prevention of malaria re-establishment in China.

Prompt and precise diagnosis of patients is an essential component of malaria control and elimination strategies, it is even more vital for the prevention of malaria re-establishment in the post elimination phase. After eliminating malaria in China, the strategy for prevention of malaria re-establishment was updated in a timely manner from the elimination strategy focusing on each case/focus to the prevention of re-establishment focusing on timely identification of the source of infection. However, there are numerous challenges, such as the persistent large number of imported malaria cases, the long-term threat of border malaria, unknown levels of asymptomatic infections and Plasmodium falciparum HRP2/3 gene deletions, and the continuous spreading of antimalarial drug resistance. Meanwhile, the detection capacity also need to be further improved to meet the timely detection of all sources of infection, otherwise it is bound to occur introduced malaria cases and malaria re-establishment in the presence of malaria vector mosquitoes. Therefore, it is necessary to continuously strengthen the malaria detection competency at all levels, promote the research and development on the malaria parasitological testing technologies, thus improving the timely detection of various sources of infection, and preventing the re-establishment of malaria.

Prevention, treatment and potential mechanism of herbal medicine for Corona viruses: A review.

The pandemic of coronavirus disease 2019 (COVID-19) caused by the SARS-coronavirus 2(SARS-CoV-2) virus has become the greatest global public health crisis in recent years,and the COVID-19 epidemic is still continuing. However, due to the lack of effectivetherapeutic drugs, the treatment of corona viruses is facing huge challenges. In thiscontext, countries with a tradition of using herbal medicine such as China have beenwidely using herbal medicine for prevention and nonspecific treatment of corona virusesand achieved good responses. In this review, we will introduce the application of herbalmedicine in the treatment of corona virus patients in China and other countries, andreview the progress of related molecular mechanisms and antiviral activity ingredients ofherbal medicine, in order to provide a reference for herbal medicine in the treatment ofcorona viruses. We found that herbal medicines are used in the prevention and fightagainst COVID-19 in countries on all continents. In China, herbal medicine has beenreported to relieve some of the clinical symptoms of mild patients and shorten the length of hospital stay. However, as most herbal medicines for the clinical treatment of COVID-19still lack rigorous clinical trials, the clinical and economic value of herbal medicines in theprevention and treatment of COVID-19 has not been fully evaluated. Future work basedon large-scale randomized, double-blind clinical trials to evaluate herbal medicines andtheir active ingredients in the treatment of new COVID-19 will be very meaningful.

Expert consensus on prevention and cardiopulmonary resuscitation for cardiac arrest in COVID-19

Background: Cardiopulmonary resuscitation (CPR) strategies in COVID-19 patients differ from those in patients suffering from cardiogenic cardiac arrest. During CPR, both healthcare and non-healthcare workers who provide resuscitation are at risk of infection. The Working Group for Expert Consensus on Prevention and Cardiopulmonary Resuscitation for Cardiac Arrest in COVID-19 has developed this Chinese Expert Consensus to guide clinical practice of CPR in COVID-19 patients. Main recommendations: (1) A medical team should be assigned to evaluate severe and critical COVID-19 for early monitoring of cardiac-arrest warning signs. (2) Psychological counseling and treatment are highly recommended, since sympathetic and vagal abnormalities induced by psychological stress from the COVID-19 pandemic can induce cardiac arrest. (3) Healthcare workers should wear personal protective equipment (PPE). (4) Mouth-to-mouth ventilation should be avoided on patients suspected of having or diagnosed with COVID-19. (5) Hands-only chest compression and mechanical chest compression are recommended. (6) Tracheal-intubation procedures should be optimized and tracheal-intubation strategies should be implemented early. (7) CPR should be provided for 20-30 min. (8) Various factors should be taken into consideration such as the interests of patients and family members, ethics, transmission risks, and laws and regulations governing infectious disease control. Changes in management: The following changes or modifications to CPR strategy in COVID-19 patients are proposed: (1) Healthcare workers should wear PPE. (2) Hands-only chest compression and mechanical chest compression can be implemented to reduce or avoid the spread of viruses by aerosols. (3) Both the benefits to patients and the risk of infection should be considered. (4) Hhealthcare workers should be fully aware of and trained in CPR strategies and procedures specifically for patients with COVID-19.

SARS-CoV-2-Triggered Mast Cell Rapid Degranulation Induces Alveolar Epithelial Inflammation and Lung Injury (preprint)

SARS-CoV-2 infection-induced hyper-inflammation links to the acute lung injury and COVID-19 severity. Identifying the primary mediators that initiate the uncontrolled hypercytokinemia is essential for treatments. Mast cells (MCs) are strategically located at the mucosa and beneficially or detrimentally regulate immune inflammations. Here we showed that SARS-CoV-2-triggeed MC degranulation initiated alveolar epithelial inflammation and lung injury. SARS-CoV-2 challenge induced MC degranulation in ACE-2 humanized mice and rhesus macaques, and a rapid MC degranulation could be recapitulated with Spike-RBD binding to ACE2 in cells; MC degranulation alterred various signaling pathways in alveolar epithelial cells, particularly, led to the production of pro-inflammatory factors and consequential disruption of tight junctions. Importantly, the administration of clinical MC stabilizers for blocking degranulation dampened SARS-CoV-2-induced production of pro-inflammatory factors and prevented lung injury. These findings uncover a novel mechanism for SARS-CoV-2 initiating lung inflammation, and suggest an off-label use of MC stabilizer as immunomodulators for COVID-19 treatments.

Multiple organ injury on admission predicts in-hospital mortality in patients with COVID-19.

Multiorgan injury has been implicated in patients with coronavirus disease 2019 (COVID-19). We aim to assess the impact of organ injury (OI) on prognosis according to the number of affected organs at admission. This is a retrospective cohort study of patients with confirmed COVID-19 in Wuhan Third Hospital & Tongren Hospital of Wuhan University from February 17 to March 22, 2020. We classified the patients according to the presence and number of damaged organs (heart, liver, and kidney). The percentage of patients with no, one, two, or three organs affected was 59.75%, 30.46%, 8.07%, and 1.72%, respectively. With the increasing number of OI, there is a tendency of gradual increase regarding the white blood cell counts, neutrophil counts, levels of C-reactive protein (CRP), lactate dehydrogenase, D-dimer, and fibrinogen as well as the incidence of most complications. In a Cox regression model, individuals with OI, old age, and an abnormal level of CRP were at a higher risk of death compared with those without. Patients with three organ injuries had the highest mortality rate (57.9%; hazard ratio [HR] with 95% confidence interval [CI] vs. patients without OI: 22.31 [10.42-47.77], those with two [23.6%; HR = 8.68, 95% CI = 4.58-16.48], one [8.6%; HR = 3.1, 95% CI = 1.7-5.7], or no OI [2.6%]; p < .001). The increasing number of OI was associated with a high risk of mortality in COVID-19 infection.

Consideration and recommendations for malaria blood testing during the COVID-19 pandemic

With the ongoing global spread of coronavirus disease 2019 (COVID-19) epidemic, there is a risk of co-occurrence of malaria and COVID-19 in people returning from malaria-endemic areas abroad. In order to conduct timely, accurate and safe detection of malaria cases, ensuring early finding, diagnosis and treatment of imported malaria, we propose that facing the current pandemic situation, higher level of biosafety protective practice is needed for handling malaria blood samples with potential risk, use of rapid diagnostic test and nuclear acid detection method is the first choice, confirmation of Plasmodium species should be made based on consistency between at least two detection methods, and blood smears should be prepared with special procedures when necessary.

Comparison of the Clinical Characteristics of Patients With COVID-19 in Suining and Wuhan (preprint)

 Background Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which was first identified in December 2019 in Wuhan. This study mainly analyzed the clinical characteristics, imaging features, and prognosis of patients with COVID-19 in Suining, one of China's fourth-tier cities, and Wuhan in 2019 and compared data between the 2 cities. Methods A retrospective analysis of the epidemiological history, clinical data, symptom presentation, laboratory test results, chest computed tomography (CT) imaging features, treatment measures and prognosis of 68 patients with COVID-19 diagnosed at Wuhan Red Cross Hospital and 17 patients with COVID-19 diagnosed at Suining Central Hospital from January 23, 2020, to February 27, 2020, was conducted. Results 1) The incidence rate of COVID-19 in Wuhan was 52.99‱, and the incidence rate in Suining was 0.04‱. The median age of patients with COVID-19 was 40.71 years old in Suining and 56.04 years old in Wuhan. The age of patients with COVID-19 in Wuhan was significantly older than that of patients with COVID-19 in Suining. Among the 68 patients with COVID-19 in Wuhan, 30 (44.1%) had hypertension, and 25 (36.8%) had diabetes. Three out of the 17 patients in Suining (17.6%) had hypertension, and 2 patients (11.8%) had diabetes. The proportion of patients with diabetes or hypertension in Wuhan was significantly higher than that in Suining (P<0.05). In the clinical classification, there were 1 (5.9%) and 23 (33.8%) patients with severe COVID-19 in Suining and Wuhan, respectively. The proportion of patients with severe COVID-19 in Wuhan was significantly higher than that in Suining (P<0.05).Fever and cough were the most common clinical symptoms, with 9 cases (52.9%) and 8 cases (47.1%) in Suining, respectively, and 54 cases (79.4%) and 42 cases (61.8%) in Wuhan, respectively. There was 1 patient (5.9%) with COVID-19 with dyspnea in Suining and 23 patients (33.8%) with COVID-19 with dyspnea in Wuhan; the difference was statistically significant (P<0.05). Chest CT showed that lung consolidation occurred in 2 (11.8%) and 26 (38.2%) patients with COVID-19 in Suining and Wuhan, respectively. The proportion of lung consolidation in patients in Wuhan was significantly higher than that in patients in Suining (P<0.05). The laboratory tests suggested that percentage ofelevated C-reactive protein (CRP) (58.8%), ALT (33.8%), blood glucose (45.6%), creatine kinase (CK) (33.8%) or D-dimer (47.1%) of patients in Wuhan were significantly increased than those in Suining (29.4%, 5.9%, 17.6%, 5.9%, and 17.7%, respectively). Moreover, the average length of hospital stay of patients in Wuhan was 17.49 days, which was significantly longer than that of patients in Suining (12.29 days). Conclusions The incidence of COVID-19 in fourth-tier cities, Suining, in China was significantly lower than that in Wuhan, and the disease severity was generally lower than that in Wuhan, with mostly good prognoses. Advanced age, diabetes, and hypertension are important factors that aggravate COVID-19, while elevated CRP, ALT, blood glucose, CK, and D-dimer levels are important indicators for severe disease. 

Estimating the case fatality ratio of the COVID-19 epidemic in China (preprint)

Background: Corona Virus Disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan city and rapidly spread throughout China since late December 2019. Crude case fatality ratio (CFR) with dividing the number of known deaths by the number of confirmed cases does not represent the true CFR and might be off by orders of magnitude. We aim to provide a precise estimate of the CFR of COVID-19 using statistical models at the early stage of the epidemic. Methods: We extracted data from the daily released epidemic report published by the National Health Commission P. R. China from 20 Jan 2020, to 1 March 2020. Competing risk model was used to obtain the cumulative hazards for death, cure, and cure-death hazard ratio. Then the CFR was estimated based on the slope of the last piece in joinpoint regression model, which reflected the most recent trend of the epidemic. Results: As of 1 March 2020, totally 80,369 cases were diagnosed as COVID-19 in China. The CFR of COVID-19 were estimated to be 70.9% (95% CI: 66.8%-75.6%) during Jan 20-Feb 2, 20.2% (18.6%-22.1%) during Feb 3-14, 6.9% (6.4%-7.4%) during Feb 15-23, 1.5% (1.4%-1.6%) during Feb 24-March 1 in Hubei province, and 20.3% (17.0%-25.3%) during Jan 20-28, 1.9% (1.8%-2.1%) during Jan 29-Feb 12, 0.9% (0.8%-1.1%) during Feb 13-18, 0.4% (0.4%-0.5%) during Feb 19-March 1 in other areas of China, respectively. Conclusions: Based on analyses of public data, we found that the CFR in Hubei was much higher than that of other regions in China, over 3 times in all estimation. The CFR would follow a downwards trend based on our estimation from recently released data. Nevertheless, at early stage of outbreak, CFR estimates should be viewed cautiously because of limited data source on true onset and recovery time.