Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 33
Filter
1.
Jpn J Nurs Sci ; : e12376, 2020 Sep 08.
Article in English | MEDLINE | ID: covidwho-748728

ABSTRACT

AIM: Workplace social capital refers to relationship networks formed by individuals in an organization through long-term mutually beneficial interactions and cooperation with members. These relationship networks can create value and resources for organizations and individuals. This current study aimed to explore the potential impact of workplace social capital on the association between perceived stress and professional identity in clinical nurses during the COVID-19 outbreak. METHODS: In this cross-sectional study, 308 Chinese clinical nurses filled out the Chinese Workplace Social Capital Scale, the Chinese Perceived Stress Scale, and the Chinese Nurse's Professional Identity Scale. Descriptive analysis, independent samples t test, analysis of variance, Pearson correlation analyses, and bootstrap method were performed to analyze the data. RESULTS: Perceived stress was negatively correlated with professional identity (r = -0.455, p < .001). Workplace social capital was not found to moderate the relationship between perceived stress and professional identity (95% CI -0.03 to- 0.06, p = .47 > .05). Instead, it mediated that relationship (95% CI -0.61 to -0.19, p < .05), and its mediating effect was -0.37. CONCLUSIONS: In the early stages of the COVID-19 outbreak, workplace social capital among the investigated clinical nurses failed to buffer the negative impact of perceived stress on professional identity, but it did play a part in mediating perceived stress and professional identity. A healthy workplace should be provided to clinical nurses to improve their professional identity, while lowering perceived stress.

2.
Clin Transl Sci ; 2020 Sep 03.
Article in English | MEDLINE | ID: covidwho-742070

ABSTRACT

On March 11, 2020, the World Health Organization declared its assessment of COVID-19 as a global pandemic. However, specific anti SARS-CoV-2 drugs are still under development, and patients are managed by multiple complementary treatments. We performed a retrospective analysis to compare and evaluate the effect of low molecular weight heparin (LMWH) treatment on disease progression. For this purpose, the clinical records and laboratory indicators were extracted from electronic medical records of forty-two patients with COVID-19 (twenty-one of whom were treated with LMWH, and twenty-one without LMWH) hospitalized (Union Hospital of Huazhong University of Science and Technology) from February 1 to March 15, 2020. Changes in the percentage of lymphocytes before and after LMWH treatment were significantly different from those in the control group (p=0.011). Likewise, changes in the levels of D-dimer and fibrinogen degradation products (FDP) in the LMWH group before and after treatment were significantly different from those in the control group (p=0.035). Remarkably, IL-6 levels were significantly reduced after LMWH treatment (p=0.006), indicating that, besides other beneficial properties, LMWH may exert an anti-inflammatory effect and attenuate in part the 'cytokine storm' induced by the virus. Our results support the use of LMWH as a potential therapeutic drug for the treatment of COVID-19, paving the way for a subsequent well-controlled clinical study.

3.
Sustainability ; 12(17), 2020.
Article | WHO COVID | ID: covidwho-731207

ABSTRACT

The spread of the novel coronavirus at the start of 2020 shocked higher education across China then around the rest of the world To ensure sustainability of learning, this required an unprecedented shift from campus-based to emergency online education This created an urgent need to learn more about the quality of online education, the provision of global education, and the transformation potential of universities This paper analyses these matters, presenting insights from large-scale research conducted on a leading Chinese university, the first ever major research university to make this substantial transition This research applied a mixed methods design, which combines quantitative and qualitative approaches The results provide important insight into the nature, quality, and outcomes of online learning in major Asian research universities They signal critical areas that require reform to ensure the sustainability of future higher education

4.
QJM ; 2020 Aug 25.
Article in English | MEDLINE | ID: covidwho-729194

ABSTRACT

BACKGROUND: Patients on dialysis were susceptible to COVID-19 and were prone to severe clinical characteristics after infection; acute kidney injury was related to mortality in COVID-19 cases. Limited is known about the characteristics of COVID-19 patients with end-stage renal disease not requiring renal replacement therapy (RRT). AIM: Evaluate clinical characteristics, course and outcomes of COVID-19 patients with chronic kidney disease (CKD) who did not require RRT and those on dialysis. DESIGN: A two-center retrospective study. METHODS: 836 adult patients with COVID-19 (24 CKD not on dialysis; 15 dialysis-dependent CKD) were included. The study includes no patients with renal transplantation. Risk factors were explored. RESULTS: CKD not requiring RRT is an independent risk factor for in-hospital death [adjusted OR (aOR) 7.35 (95%CI 2.41-22.44)] and poor prognosis [aOR 3.01 (95%CI 1.23-7.33)]. Compared to COVID-19 cases without CKD, those with CKD not requiring RRT showed similar percentage of initial moderate cases (75.00% vs. 73.65%) but higher incidence of in-hospital neutrophilia (50.00% vs. 27.30%) or death (50.00% vs. 9.03%). The odds ratio of dialysis associated to mortality in CKD patients was 2.00 (95%CI 0.52-7.63), suggesting COVID-19 patients with dialysis-dependent CKD were at greater risk of in-hospital death. For COVID-19 patients with CKD not requiring RRT, statins reduced the risk of neutrophilia [OR 0.10 (95%CI 0.01-0.69)] while diuretics increased the risk of neutrophilia [OR 15.4 (95%CI 1.47-160.97)], although both showed no association to mortality. CONCLUSION: COVID-19 patients with CKD presented high incidence of neutrophilia, poor prognosis and in-hospital death, with dialysis patients being more vulnerable.

5.
Chin. Pharm. J. (China) ; 4(55): 284-292, 20200222.
Article in Chinese | ELSEVIER | ID: covidwho-703880

ABSTRACT

Beginning at the end of 2019, corona virus disease 2019(COVID-19) caused by sevare acute respiratory syndrome coronavirus(SARS-CoV-2) appeared in Wuhan, China, and spread rapidly across the country. Prior to this, there had been two outbreaks in the world that caused serious consequences by different coronaviruses: severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV). This article introduces the structure and classification of coronaviruses, discusses the origin, virological characteristics, and epidemiological overview of three coronaviruses-SARS-CoV, MERS-CoV, and SARS-CoV-2, and reviews the drugs that are currently on the market and are being developed to treat coronavirus infections, in order to explain the characteristics of coronavirus and provide new ideas for the prevention and control of 2019-nCoV and new coronavirus.

7.
Curr Med Sci ; 40(4): 597-601, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-695683

ABSTRACT

In late December 2019, COVID-19 was firstly recognized in Wuhan, China and spread rapidly to all of the provinces of China. The West Campus of Wuhan Union Hospital, the designated hospital to admit and treat the severe and critically ill COVID-19 cases, has treated a large number of such patients with great success and obtained lots of valuable experiences based on the Chinese guideline (V7.0). To standardize and share the treatment procedures of severe and critically ill cases, Wuhan Union Hospital has established a working group and formulated an operational recommendation, including the monitoring, early warning indicators, and several treatment principles for severe and critically ill cases. The treatment experiences may provide some constructive suggestions for treating the severe and critically ill COVID-19 cases all over the world.


Subject(s)
Betacoronavirus , Coronavirus Infections/therapy , Pneumonia, Viral/therapy , Antibodies, Monoclonal, Humanized/therapeutic use , Anticoagulants/therapeutic use , Antiviral Agents/therapeutic use , China/epidemiology , Clinical Laboratory Techniques , Combined Modality Therapy , Comorbidity , Coronavirus Infections/diagnosis , Coronavirus Infections/drug therapy , Coronavirus Infections/epidemiology , Critical Illness , Dexamethasone/therapeutic use , Hospitals , Humans , Immunization, Passive , Medicine, Chinese Traditional , Pandemics , Pneumonia, Viral/epidemiology , Respiratory Therapy/methods
9.
The Clinical Diagnosis and Treatment for New Coronavirus Pneumonia ; 2020.
Article | WHO COVID | ID: covidwho-691328
11.
Crit Care ; 24(1): 438, 2020 07 16.
Article in English | MEDLINE | ID: covidwho-651755

ABSTRACT

BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a public health emergency of global concern. We aimed to explore the risk factors of 14-day and 28-day mortality and develop a model for predicting 14-day and 28-day survival probability among adult hospitalized patients with COVID-19. METHODS: In this multicenter, retrospective, cohort study, we examined 828 hospitalized patients with confirmed COVID-19 hospitalized in Wuhan Union Hospital and Central Hospital of Wuhan between January 12 and February 9, 2020. Among the 828 patients, 516 and 186 consecutive patients admitted in Wuhan Union Hospital were enrolled in the training cohort and the validation cohort, respectively. A total of 126 patients hospitalized in Central Hospital of Wuhan were enrolled in a second external validation cohort. Demographic, clinical, radiographic, and laboratory measures; treatment; proximate causes of death; and 14-day and 28-day mortality are described. Patients' data were collected by reviewing the medical records, and their 14-day and 28-day outcomes were followed up. RESULTS: Of the 828 patients, 146 deaths were recorded until May 18, 2020. In the training set, multivariate Cox regression indicated that older age, lactate dehydrogenase level over 360 U/L, neutrophil-to-lymphocyte ratio higher than 8.0, and direct bilirubin higher than 5.0 µmol/L were independent predictors of 28-day mortality. Nomogram scoring systems for predicting the 14-day and 28-day survival probability of patients with COVID-19 were developed and exhibited strong discrimination and calibration power in the two external validation cohorts (C-index, 0.878 and 0.839). CONCLUSION: Older age, high lactate dehydrogenase level, evaluated neutrophil-to-lymphocyte ratio, and high direct bilirubin level were independent predictors of 28-day mortality in adult hospitalized patients with confirmed COVID-19. The nomogram system based on the four factors revealed good discrimination and calibration, suggesting good clinical utility.


Subject(s)
Coronavirus Infections/mortality , Coronavirus Infections/therapy , Models, Statistical , Pneumonia, Viral/mortality , Pneumonia, Viral/therapy , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Pandemics , Prognosis , Reproducibility of Results , Retrospective Studies , Risk Factors , Survival Analysis
13.
J Affect Disord ; 275: 188-193, 2020 10 01.
Article in English | MEDLINE | ID: covidwho-633860

ABSTRACT

BACKGROUND: Although studies have suggested experiencing the epidemic of severe infectious diseases increased the prevalence of mental health problems, the association between COVID-19 epidemic and risk of anxiety and depression symptom in college students in China was unclear. METHODS: A large cross-sectional online survey with 44,447 college students was conducted in Guangzhou, China. The Zung's Self-rating Anxiety Scale (SAS) and the Center for Epidemiologic Studies Depression Scale (CES-D Scale) were used to define the anxiety and depression symptom, respectively. Multivariable logistic regression models were used to analyze the association between COVID-19 epidemic and risk of anxiety and depression symptom. RESULTS: The prevalence of anxiety and depression symptom was 7.7% (95% confidence interval [CI]: 7.5%, 8.0%) and 12.2% (95%CI: 11.9%, 12.5%), respectively. Compared with students who reported have not infected or suspected cases in family members and relatives, students who reported having confirmed (OR=4.06; 95%CI: 1.62, 10.19; P = 0.003), and suspected (OR=2.11; 95%CI: 1.11, 4.00; P = 0.023) cases in family members and relatives had higher risk of depression symptom. Additionally, the proportions of students with anxiety and depression symptom reported more demand of psychological knowledge and interventions than those without (P<0.001). LIMITATIONS: All the data in this study was collected through online questionnaire, and we did not evaluate the reliability and validity. CONCLUSIONS: The prevalence of anxiety and depression symptom was relatively low in college students, but the COVID-19 epidemic-related factors might be associated with higher depression symptom risk.


Subject(s)
Anxiety/epidemiology , Coronavirus Infections/epidemiology , Coronavirus Infections/psychology , Depression/epidemiology , Pneumonia, Viral/epidemiology , Pneumonia, Viral/psychology , Students/psychology , Adolescent , Anxiety Disorders/epidemiology , China/epidemiology , Cross-Sectional Studies , Female , Humans , Male , Pandemics , Prevalence , Reproducibility of Results , Surveys and Questionnaires , Young Adult
15.
EBioMedicine ; 57: 102833, 2020 Jul.
Article in English | MEDLINE | ID: covidwho-613483

ABSTRACT

BACKGROUND: The novel coronavirus pneumonia COVID-19 caused by SARS-CoV-2 infection could lead to a series of clinical symptoms and severe illnesses, including acute respiratory distress syndrome (ARDS) and fatal organ failure. We report the fundamental pathological investigation in the lungs and other organs of fatal cases for the mechanistic understanding of severe COVID-19 and the development of specific therapy in these cases. METHODS: The autopsy and pathological investigations of specimens were performed on bodies of two deceased cases with COVID-19. Gross anatomy and histological investigation by Hematoxylin and eosin (HE) stained were reviewed on each patient. Alcian blue/periodic acid-Schiff (AB-PAS) staining and Masson staining were performed for the examinations of mucus, fibrin and collagen fiber in lung tissues. Immunohistochemical staining was performed on the slides of lung tissues from two patients. Real-time PCR was performed to detect the infection of SARS-CoV-2. Flow cytometry analyses were performed to detect the direct binding of S protein and the expression of ACE2 on the cell surface of macrophages. FINDINGS: The main pathological features in lungs included extensive impairment of type I alveolar epithelial cells and atypical hyperplasia of type II alveolar cells, with formation of hyaline membrane, focal hemorrhage, exudation and pulmonary edema, and pulmonary consolidation. The mucous plug with fibrinous exudate in the alveoli and the dysfunction of alveolar macrophages were characteristic abnormalities. The type II alveolar epithelial cells and macrophages in alveoli and pulmonary hilum lymphoid tissue were infected by SARS-CoV-2. S protein of SARS-CoV-2 directly bound to the macrophage via the S-protein-ACE2 interaction. INTERPRETATION: Infection of alveolar macrophage by SARS-CoV-2 might be drivers of the "cytokine storm", which might result in damages in pulmonary tissues, heart and lung, and lead to the failure of multiple organs . FUNDING: Shanghai Guangci Translational Medical Research Development Foundation, Shanghai, China.


Subject(s)
Alveolar Epithelial Cells/pathology , Coronavirus Infections/pathology , Cytokine Release Syndrome/pathology , Lung/pathology , Macrophages, Alveolar/pathology , Pneumonia, Viral/pathology , Autopsy , Betacoronavirus , China , Coronavirus Infections/mortality , Cytokine Release Syndrome/mortality , Cytokines/blood , Cytokines/metabolism , Female , Humans , Hyperplasia/pathology , Male , Middle Aged , Pandemics , Peptidyl-Dipeptidase A/metabolism , Pneumonia, Viral/mortality , Spike Glycoprotein, Coronavirus/metabolism
17.
Traditional Med.Res. ; 4(5): 216-228, 20200702.
Article in English | ELSEVIER | ID: covidwho-621398

ABSTRACT

Background: Anxiety is a common comorbidity associated with chronic obstructive pulmonary disease (COPD), but no well-recognized method can provide effective relief. Liuzijue Qigong (LQG) is a traditional Chinese fitness method, based on breath pronunciation. This study aimed to examine the efficacy of LQG to relieve anxiety in COPD patients and to explore the factors that influence anxiety, including whether LQG is effective during the coronavirus disease 2019 (COVID-19) outbreak. Methods: We conducted an open-label, randomized, controlled, clinical trial. A total of 60 patients with stable COPD were randomly assigned to two groups. Both groups were given routine medical treatment, and the patients in the pulmonary rehabilitation (PR) group were given an extra intervention in the form of LQG, performed for 30 minutes each day for 12 weeks. Data collection was performed at baseline and 12 weeks (during the COVID-19 epidemic). The primary outcomes were the self-rating anxiety scale (SAS) scores, and the secondary outcomes were relevant information during the epidemic and analyses of the related factors that influenced SAS scores during the COVID-19 outbreak. Results: Compared with baseline, patients in both groups demonstrated varying degrees of improvements in their SAS scores (all P < 0.01). An analysis of covariance, adjusted for baseline scores, indicated that the SAS scores improved more dramatically in the PR group than in the control group (F = 9.539, P = 0.004). During the outbreak, the SAS scores for sleep disorder were higher than all other factors, reaching 1.38 ± 0.67, and the scores for “I can breathe in and out easily” for the PR group were lower than the scores for the control group (Z = −2.108, P = 0.035). Significant differences were identified between the two groups for the categories “How much has the outbreak affected your life”, “Do you practice LQG during the epidemic” and “Do you practice other exercises during the epidemic” (all P < 0.05). Compared with current reports, LQG had a relatively high adherence rate (80.95%). A multiple linear regression analysis revealed multiple predictors for SAS scores during the outbreak: group (b = −3.907, t = −3.824, P < 0.001), COPD assessment test score (b = 0.309, t = 2.876, P = 0.006), SAS score at baseline (b = 0.189, t = 3.074, P = 0.004), and living in a village (b = 4.886, t = 2.085, P = 0.043). Conclusion: LQG could effectively reduce the risks of anxiety among COPD patients, even during the COVID-19 outbreak. For those COPD patients with high COPD assessment test and high baseline SAS scores or who live in villages, we should reinforce the management and intervention of psychological factors during the epidemic.

18.
Traditional Med.Res. ; 4(5): 201-215, 20200702.
Article in English | ELSEVIER | ID: covidwho-621396

ABSTRACT

Background: To evaluate the mechanism of Chinese patent drug Xuebijing (XBJ) injection in the treatment of a new coronavirus disease 2019 (COVID-19) based on network pharmacology and molecular docking technology. Methods: The TCMSP database was employed to collect and screen the active ingredients of the Chinese herb contained in the XBJ injection. The GeneCards database and STRING database were applied to collect and expand the targets of COVID-19 and compare and screen the related targets of COVID-19 by XBJ injection. Cytoscape was employed to build a network connecting Chinese medicine, compounds, targets, disease, and topology analysis was performed via the Network Analyzer to screen the key ingredients and targets. The software of Schrödinger molecular docking was used to verify the binding activity of the key ingredients of XBJ injection and the key targets of COVID-19. Metascape platform and DAVID database were utilized to conduct Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes analysis on the key targets of COVID-19 treated by XBJ injection. Results: Eight key compounds and 15 key targets were screened and verified by molecular docking; these key compounds included luteolin, quercetin, baicalein, and kaempferol. The key targets included DPP4, AR, ESR1, CALM1, and protein kinase 1. Gene Ontology analysis involved an apoptosis and hypoxia reaction and the changes in blood vessel morphology. Kyoto Encyclopedia of Genes and Genomes analysis involved signaling pathways of hypoxia inducible factor-1, VEGF, and PI3K/AKT/NF-κB. Conclusion: The mechanism of XBJ injection when used to treat COVID-19 should be further investigated as the key compounds in XBJ regulated the expression of key targets such as protein kinase 1, VEGF-A, B-cell lymphoma-2, and TNF, which affected the COVID-19 receptors such as angiotensin-converting enzyme 2 and signaling pathways like hypoxia inducible factor-1, PI3K-Akt, and NF-κB, which alleviated the inflammation, respiratory distress, and hypoxia caused by COVID-19 infection.

20.
Zhongguo Zhong Yao Za Zhi ; 45(10): 2257-2264, 2020 May.
Article in Chinese | MEDLINE | ID: covidwho-378552

ABSTRACT

There is urgent need to discover effective traditional Chinese medicine(TCM) for treating coronavirus disease 2019(COVID-19). The development of a bioinformatic tool is beneficial to predict the efficacy of TCM against COVID-19. Here we deve-loped a prediction platform TCMATCOV to predict the efficacy of the anti-coronavirus pneumonia effect of TCM, based on the interaction network imitating the disease network of COVID-19. This COVID-19 network model was constructed by protein-protein interactions of differentially expressed genes in mouse pneumonia caused by SARS-CoV and cytokines specifically up-regulated by COVID-19. TCMATCOV adopted quantitative evaluation algorithm of disease network disturbance after multi-target drug attack to predict potential drug effects. Based on the TCMATCOV platform, 106 TCM were calculated and predicted. Among them, the TCM with a high disturbance score account for a high proportion of the classic anti-COVID-19 prescriptions used by clinicians, suggesting that TCMATCOV has a good prediction ability to discover the effective TCM. The five flavors of Chinese medicine with a disturbance score greater than 1 are mainly spicy and bitter. The main meridian of these TCM is lung, heart, spleen, liver, and stomach meridian. The TCM related with QI and warm TCM have higher disturbance score. As a prediction tool for anti-COVID-19 TCM prescription, TCMATCOV platform possesses the potential to discovery possible effective TCM against COVID-19.


Subject(s)
Betacoronavirus , Coronavirus Infections , Pandemics , Pneumonia, Viral , Animals , Computational Biology , Drugs, Chinese Herbal , Humans , Medicine, Chinese Traditional , Mice
SELECTION OF CITATIONS
SEARCH DETAIL