Digital Transformation of Faculty Development: Responding and Supporting Academia During Disruptions Caused by the Coronavirus Disease 2019 Pandemic.

INTRODUCTION: The coronavirus disease 2019 pandemic disrupted the current practices for teaching and learning in medical and health professions education, creating challenges and opportunities for rapid transition. The authors describe how McMaster University's Program for Faculty Development (MacPFD) responded to this disruption by engaging in a digital transformation. METHODS: The digital transformation process of MacPFD was mapped to the conceptual framework of digital transformation: Vial's building blocks of the framework. A new website was launched to host and disseminate the content. Subsequently, both the website and the content were promoted using social media tools. Content generation, Google Analytics, event registrations, and Zoom webinar attendance records were data sources for the results. Analysis of the data was based on the reach component of the RE-AIM framework. RESULTS: Six-month data range results were reported as producer-centered and user-centered outcomes. The former consisted of 54 resources from diverse content authors, whereas the latter received 33,045 page views from 26,031 unique users from 89 countries. Live webinar events had 1484 registrants, with 312 (21%) being guests from external institutions. Before the coronavirus disease 2019 disruption, MacPFD was a local program to support its faculty. DISCUSSION: The MacPFD's digital transformation shows a clear transition to a new "glocal" approach: an expanded global reach while still tending to our local development needs of the home institution's faculty members.

Analysis of cardiovascular disease factors on SARS-CoV-2 infection severity.

Background: At present, COVID-19 is a global pandemic and is seriously harmful to humans. In this retrospective study, the aim was to investigate the interaction between CVD and COVID-19. Methods: A total of 180 patients diagnosed with COVID-19 in Yichang Central People's Hospital from 29 January to 17 March 2020 were initially included. The medical history, clinical manifestations at the time of admission, laboratory test results, hospitalization time and complications were recorded. According to the medical history, the patients were assigned to the nonsevere group with non-CVD (n = 90), the nonsevere group with CVD (n = 22), the severe group with non-CVD (n = 40) and the severe group with CVD (n = 28). Results: In the severe group, compared with non-CVD patients, CVD patients had a significantly higher incidence of fever (P < 0.05). However, compared with the nonsevere group, the severe group had significantly higher proportions of patients with hypertension, type 2 diabetes mellitus, CHD and HF (all P < 0.05). Among the patients with nonsevere COVID-19, the WBC count and the levels of IL-6, CRP, D-dimer, NT-proBNP, and FBG were significantly higher and the Hb level was significantly lower in the CVD patients than in the non-CVD patients (all P < 0.05). However, among the patients with severe COVID-19, only the level of NT-proBNP was significantly higher in CVD patients than in non-CVD patients (P < 0.05). In addition, the WBC count and the levels of IL-6, CRP, D-dimer, CKMB, ALT, AST, SCR, NT-proBNP, and FBG were significantly higher and the Hb level was significantly lower in the severe group than in the nonsevere group (all P < 0.05). However, among the patients with severe COVID-19, the incidences of acute myocardial injury, acute kidney injury, arrhythmia, and sudden death were significantly higher in the CVD group than in the non-CVD group (all P < 0.05). The same results were found in the comparison of the nonsevere group with the severe group. Among the patients with nonsevere COVID-19, those without CVD had a mean hospitalization duration of 25.25 (SD 7.61) days, while those with CVD had a mean hospitalization duration of 28.77 (SD 6.11) days; the difference was significant (P < 0.05). The same results were found in the comparison of the severe group. Conclusions: CVD affects the severity of COVID-19. COVID-19 also increases the risk of severe CVD.

Antecedentes: La infección por SARS-CoV-2 está provocando graves consecuencias en la humanidad. El objetivo de este estudio retrospectivo fue investigar el impacto de las enfermedades cardiovasculares (ECV) en la gravedad de dicha infección. Métodos: Entre el 29 de enero y el 17 de marzo de 2020, se diagnosticaron 180 pacientes con neumonía por SARS-CoV-2 en el Hospital Popular Central de Yichang. Se registraron los antecedentes, manifestaciones clínicas, resultados de laboratorio, tiempo de hospitalización y complicaciones. Los pacientes se dividieron en cuatro grupos: 1) infección no grave sin ECV (n = 90), 2) infección no grave con ECV (n = 22), 3) infección grave sin ECV (n = 40) y 4) infección grave con ECV (n = 28). Resultados: La prevalencia de fiebre en los pacientes con ECV fue significativamente mayor que en aquellos sin ECV (P < 0,05). Sin embargo, en comparación con los pacientes no graves, la proporción de pacientes con hipertensión, diabetes mellitus tipo 2, cardiopatía coronaria e insuficiencia cardíaca en los pacientes graves fue significativamente mayor (p< 0,05). Los niveles de recuento de leucocitos, IL-6, PCR, dímero D, NT-proBNP y glucemia en ayunas (GA) en pacientes con ECV fueron significativamente mayores que en los de pacientes sin ECV, aunque los niveles de Hb fueron significativamente menores que los de los pacientes sin ECV (p< 0,05). Sin embargo, los valores de NT-proBNP en pacientes con ECV fueron significativamente mayores que en los pacientes sin ECV (P< 0,05). Además, el recuento de leucocitos y los niveles de IL-6, PCR, dímero D, CK-MB, ALT, AST, creatinina, NT-proBNPy GA en el grupo de pacientes graves fueron significativamente mayores que en el grupo no grave, mientras que los valores de Hb fueron significativamente menores que en el grupo no grave (p< 0,05). La prevalencia de lesión miocárdica aguda, lesión renal aguda, arritmia y muerte súbita en el grupo con ECV fue significativamente mayor que en el grupo sin ECV (p< 0,05). Los mismos resultados se encontraron al comparar los pacientes no graves con aquellos con infección grave. Entre los pacientes no graves, la duración media de la estancia hospitalaria fue de 25,25 (DE: 7,61) días en los pacientes sin ECV, mientras que la duración media de la estancia hospitalaria fue de 28,77 (DE: 6,11) días en los pacientes con ECV (p< 0,05). Los mismos resultados se observaron al comparar los dos grupos con infección grave. Conclusiones: La infección por SARS-CoV-2 es de evolución más grave en los pacientes con ECV.

Treatment of COVID-19 in Hemodialysis Patients Using Traditional Chinese Medicine: A Single-Center, Retrospective Study.

Background: To explore the effect of combining traditional Chinese medicine (TCM) and Western medicine in hemodialysis patients with coronavirus disease 2019 (COVID-19). Methods: This study was conducted from 27 January 2020 to 17 March 2020 in Wuhan Third Hospital Guanggu Branch, Wuhan, China. Fifty-three patients were included and divided into a control group (CG), which received Western medicine and a combined treatment group, which received TCM and Western medicine (TG). Clinical and laboratory data, TCM symptom scores, and chest computed tomography results were extracted and compared between the two groups. Results: The TG included 21 (67.7%) men and 10 (32.3%) women with a mean age of 61.02 (standard deviation [SD] 15.07, range 26-89) years. The mean dialysis duration in the TG was 49 (SD 31) months. Of all patients in the TG, 27 (87.1%) had fatigue, 18 (58.1%) had dry cough, 16 (51.6%) had anorexia, 11 (35.5%) had dyspnea, and 11 (35.5%) had fever. The CG included 14 (63.6%) men and 8 (36.4%) women with a mean age of 61.45 (SD 13.78, range 36-84) years. The mean dialysis duration in the CG was 63 (SD 46) months. Of all patients in the CG, 21 (95.5%) had fatigue, 12 (54.5%) had dry cough, 17 (77.3%) had anorexia, 12 (54.5%) had dyspnea, and 7 (31.8%) had fever. After treatment, the TCM symptom scores of the two groups decreased; the anorexia scores were lower in the TG than in the CG (p < 0.05). After treatment, albumin increased and D-dimer, C-reactive protein, and lactate dehydrogenase levels decreased in the TG. The d-dimer levels were lower and the albumin level was higher in the TG than in the CG after treatment (p < 0.05). The cure rate was higher, and the mortality rate was lower in the TG than in the CG (p < 0.05). Conclusion: A combination of TCM and Western medicine in hemodialysis patients with COVID-19 could relieve symptoms and help recovery. Further evidence from larger randomized controlled trials is needed to confirm our results.

Shumian capsule improves symptoms of sleep mood disorder in convalescent patients of Corona Virus Disease 2019.

OBJECTIVE: To evaluate the clinical effectiveness of Shumian capsule in improving the symptoms of insomnia, anxiety, depression, and other symptoms of convalescent patients of COVID-19. METHODS: Totally 200 patients were collected and randomly divided into experiment group (n = 100) and control group (n = 100). The control group was treated with Shumian capsule simulator, and the experiment group was treated with Shumian capsule. The improvement of TCM symptom score, the total effective rate and symptom disappearance rate of TCM symptoms in the two groups before and after treatment were observed, and the clinical effect was evaluated. RESULTS: One week after treatment, the scores of anxiety symptoms in the experiment group were significantly different from those in the control group (P < 0.05), but there was no significant difference in the scores of insomnia and depression between the experiment group and the control group (P > 0.05). There was no significant difference in the total effective rate and disappearance rate of TCM symptoms of insomnia, anxiety and depression between the experiment group and the control group (P > 0.05). After 2 weeks of treatment, the scores of insomnia, anxiety, depression and the total effective rate of TCM symptoms in the experiment group were significantly different from those in the control group (P < 0.05). There was no significant difference in the disappearance rate of insomnia, anxiety and depression between the experiment group and the control group (P > 0.05). There were no significant differences in heart rate, respiration, systolic blood pressure and diastolic blood pressure between the experiment group and the control group (P > 0.05). CONCLUSION: Shumian capsule can significantly improve the symptoms of insomnia, anxiety and depression in COVID-19's convalescent patients with sleep and mood disorders.

Analysis of cardiovascular disease factors on SARS-CoV-2 infection severity.

BACKGROUND: At present, COVID-19 is a global pandemic and is seriously harmful to humans. In this retrospective study, the aim was to investigate the interaction between CVD and COVID-19. METHODS: A total of 180 patients diagnosed with COVID-19 in Yichang Central People's Hospital from 29 January to 17 March 2020 were initially included. The medical history, clinical manifestations at the time of admission, laboratory test results, hospitalization time and complications were recorded. According to the medical history, the patients were assigned to the nonsevere group with non-CVD (n=90), the nonsevere group with CVD (n=22), the severe group with non-CVD (n=40) and the severe group with CVD (n=28). RESULTS: In the severe group, compared with non-CVD patients, CVD patients had a significantly higher incidence of fever (P<0.05). However, compared with the nonsevere group, the severe group had significantly higher proportions of patients with hypertension, type 2 diabetes mellitus, CHD and HF (all P<0.05). Among the patients with nonsevere COVID-19, the WBC count and the levels of IL-6, CRP, D-dimer, NT-proBNP, and FBG were significantly higher and the Hb level was significantly lower in the CVD patients than in the non-CVD patients (all P<0.05). However, among the patients with severe COVID-19, only the level of NT-proBNP was significantly higher in CVD patients than in non-CVD patients (P<0.05). In addition, the WBC count and the levels of IL-6, CRP, D-dimer, CKMB, ALT, AST, SCR, NT-proBNP, and FBG were significantly higher and the Hb level was significantly lower in the severe group than in the nonsevere group (all P<0.05). However, among the patients with severe COVID-19, the incidences of acute myocardial injury, acute kidney injury, arrhythmia, and sudden death were significantly higher in the CVD group than in the non-CVD group (all P<0.05). The same results were found in the comparison of the nonsevere group with the severe group. Among the patients with nonsevere COVID-19, those without CVD had a mean hospitalization duration of 25.25 (SD 7.61) days, while those with CVD had a mean hospitalization duration of 28.77 (SD 6.11) days; the difference was significant (P<0.05). The same results were found in the comparison of the severe group. CONCLUSIONS: CVD affects the severity of COVID-19. COVID-19 also increases the risk of severe CVD.

Traditional Chinese Medicine Decoctions Significantly Reduce the Mortality in Severe and Critically Ill Patients with COVID-19: A Retrospective Cohort Study.

Coronavirus disease (COVID-19) is a new infectious disease associated with high mortality, and traditional Chinese medicine decoctions (TCMDs) have been widely used for the treatment of patients with COVID-19 in China; however, the impact of these decoctions on severe and critical COVID-19-related mortality has not been evaluated. Therefore, we aimed to address this gap. In this retrospective cohort study, we included inpatients diagnosed with severe/critical COVID-19 at the Tongren Hospital of Wuhan University and grouped them depending on the recipience of TCMDs (TCMD and non-TCMD groups). We conducted a propensity score-matched analysis to adjust the imbalanced variables and treatments and used logistic regression methods to explore the risk factors associated with in-hospital death. Among 282 patients with COVID-19 who were discharged or died, 186 patients (66.0%) received TCMD treatment (TCMD cohort) and 96 (34.0%) did not (non-TCMD cohort). After propensity score matching at a 1:1 ratio, 94 TCMD users were matched to 94 non-users, and there were no significant differences in baseline clinical variables between the two groups of patients. The all-cause mortality was significantly lower in the TCMD group than in the non-TCMD group, and this trend remained valid even after matching (21.3% [20/94] vs. 39.4% [37/94]). Multivariable logistic regression model showed that disease severity (odds ratio: 0.010; 95% CI: 0.003, 0.037; [Formula: see text]¡ 0.001) was associated with increased odds of death and that TCMD treatment significantly decreased the odds of in-hospital death (odds ratio: 0.115; 95% CI: 0.035, 0.383; [Formula: see text]¡ 0.001), which was related to the duration of TCMD treatment. Our findings show that TCMD treatment may reduce the mortality in patients with severe/critical COVID-19.

Serological investigation of asymptomatic cases of SARS-CoV-2 infection reveals weak and declining antibody responses.

Without an effective vaccine against SARS-CoV-2, the build-up of herd immunity through natural infection has been suggested as a means to control COVID-19. Although population immunity is typically estimated by the serological investigation of recovered patients, humoral immunity in asymptomatic subjects has not been well studied, although they represent a large proportion of all SARS-CoV-2 infection cases. In this study, we conducted a serosurvey of asymptomatic infections among food workers and performed serological and cellular response analyses of asymptomatic subjects in Wuhan, the original epicenter of the COVID-19 outbreak. Our data showed that up to 5.91% of the food workers carried SARS-CoV-2 IgG antibodies asymptomatically; however, in 90.4% of them, the antibody level declined over a 2-week period. IgM and IgG antibodies, including neutralizing antibodies, were significantly lower in asymptomatic subjects than in recovered symptomatic patients with similar disease courses. Furthermore, the asymptomatic subjects showed lymphopenia and a prominent decrease in the B-cell population, as well as a low frequency of antibody-secreting cells and a low cytokine response. These factors probably contributed to the low and unsustained antibody levels in asymptomatic subjects. Our results show that asymptomatic subjects are likely to be vulnerable to SARS-CoV-2 reinfection, and neither the proportion of population immunity nor the breadth of immune responses is sufficient for herd immunity.

Potential mechanism prediction of Cold-Damp Plague Formula against COVID-19 via network pharmacology analysis and molecular docking.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a new global public health emergency. The therapeutic benefits of Cold‒Damp Plague Formula (CDPF) against COVID-19, which was used to treat "cold‒dampness stagnation in the lung" in Trial Versions 6 and 7 of the "Diagnosis and Treatment Protocol for COVID-19", have been demonstrated, but the effective components and their mechanism of action remain unclear. METHODS: In this study, a network pharmacology approach was employed, including drug-likeness evaluation, oral bioavailability prediction, protein‒protein interaction (PPI) network construction and analysis, Gene Ontology (GO) terms, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation, and virtual docking, to predict the bioactive components, potential targets, and molecular mechanism of CDPF for COVID-19 treatment. RESULTS: The active compound of herbs in CDPF and their candidate targets were obtained through database mining, and an herbs-ingredients-targets network was constructed. Subsequently, the candidate targets of the active compounds were compared to those relevant to COVID-19, to identify the potential targets of CDPF for COVID-19 treatment. Subsequently, the PPI network was constructed, which provided a basis for cluster analysis and hub gene screening. The seed targets in the most significant module were selected for further functional annotation. GO enrichment analysis identified four main areas: (1) cellular responses to external stimuli, (2) regulation of blood production and circulation, (3) free radical regulation, (4) immune regulation and anti-inflammatory effects. KEGG pathway analysis also revealed that CDPF could play pharmacological roles against COVID-19 through "multi components‒multi targets‒multi pathways" at the molecular level, mainly involving anti-viral, immune-regulatory, and anti-inflammatory pathways; consequently, a "CDPF-herbs-ingredients-targets-pathways-COVID-19" network was constructed. In hub target analysis, the top hub target IL6, and ACE2, the receptor via which SARS-CoV-2 typically enters host cells, were selected for molecular docking analyses, and revealed good binding activities. CONCLUSIONS: This study revealed the active ingredients and potential molecular mechanism by which CDPF treatment is effective against COVID-19, and provides a reference basis for the wider application and further mechanistic investigations of CDPF in the fight against COVID-19.