Early predicting 30-day mortality in sepsis in MIMIC-III by an artificial neural networks model.

OBJECTIVE: Early identifying sepsis patients who had higher risk of poor prognosis was extremely important. The aim of this study was to develop an artificial neural networks (ANN) model for early predicting clinical outcomes in sepsis. METHODS: This study was a retrospective design. Sepsis patients from the Medical Information Mart for Intensive Care-III (MIMIC-III) database were enrolled. A predictive model for predicting 30-day morality in sepsis was performed based on the ANN approach. RESULTS: A total of 2874 patients with sepsis were included and 30-day mortality was 29.8%. The study population was categorized into the training set (n = 1698) and validation set (n = 1176) based on the ratio of 6:4. 11 variables which showed significant differences between survivor group and nonsurvivor group in training set were selected for constructing the ANN model. In training set, the predictive performance based on the area under the receiver-operating characteristic curve (AUC) were 0.873 for ANN model, 0.720 for logistic regression, 0.629 for APACHEII score and 0.619 for SOFA score. In validation set, the AUCs of ANN, logistic regression, APAHCEII score, and SOFA score were 0.811, 0.752, 0.607, and 0.628, respectively. CONCLUSION: An ANN model for predicting 30-day mortality in sepsis was performed. Our predictive model can be beneficial for early detection of patients with higher risk of poor prognosis.

The mediating role of general academic emotions in burnout and procrastination among Chinese medical undergraduates during the COVID-19 pandemic: A cross-sectional study.

Background: Academic procrastination has become more prevalent during the COVID-19 pandemic due to teaching/learning changes. This phenomenon induces academic burnout, which is already serious among medical students. However, the academic emotion, which is the factor most vulnerable to changes in the academic environment, is still unknown. Therefore, the current study aimed to investigate the mediating role of general academic emotions in procrastination and burnout among Chinese medical students during the COVID-19 pandemic. Methods: This cross-sectional study enrolled 995 medical students from China Medical University. We applied the Chinese version of the Maslach Burnout Inventory Student Survey (MBI-SS), the Aitken Procrastination Inventory (API) and the General Academic Emotion Questionnaire for College Students (GAEQ) to evaluate the variables of interest. We examined the mediation effects of GAEs by hierarchical linear regression analysis. Results: Correlation analyses showed a significant positive correlation between procrastination and burnout. Procrastination and burnout positively and negatively correlated with negative academic emotions, respectively. Hierarchical linear regression analyses showed that procrastination had positive associations with negative academic emotions, while it had negative associations with positive academic emotions. The contributions (as mediators) of GAEs to burnout and procrastination were 21.16% (NAEs), 29.75% (PAEs), 54.25% (NDEs) and 23.69% (PDEs). Conclusions: The results indicate that academic emotions had mediating effects on procrastination and burnout. Medical students' worries about the uncertainty of the learning environment may have exacerbated academic burnout. Targeted improvements in the teaching environment to communicate encouragement and reduce anxiety and helplessness among medical undergraduates for implementing medical education while preventing and controlling the infection.

Outcomes of lung-surgery patients suffered perioperative COVID-19: A systematic review of case reports and case series

Coronavirus disease 2019 has spread widely all over the world since December 2019.It is known that lung is mainly targeting organ of the disease. however, outcome of lung-surgery patients who suffered Coronavirus disease 2019 remains unclear. We comprehensively searched PubMed, Ovid and Web of Science for studies on Coronavirus disease 2019 and lung surgery by January 11, 2020. Then we meticulously collected information including survival information, demographics, surgery information, pathological data, comorbidity, symptoms, treatment and other detailed data. Cases were divided into survival group and death group for analysis, multivariate logistic regression analysis were further applied to assess prognostic predictors. A total of 20 studies including 52 patients were finally enrolled in this study, 36 patients were successfully discharged while 16 patients died even after treatment, mortality reached 30.77%. Of all the cases, a total of 10 patients were suffered Coronavirus disease 2019 before surgery and 3 patients died postoperatively, totally 42 patients were infected Coronavirus disease 2019 postoperatively and 13 patients died. Though mortality differences existed concerning several variables in different degree, no statistical significances were found concerning all variables in different level analysis. Total mortality of lung-surgery patients suffered perioperatively Coronavirus disease 2019 was 30.77%, while mortality of preoperative Coronavirus disease 2019 infection and postoperative Coronavirus disease 2019 infection reached 30% and 30.95%, respectively.

A nomogram for predicting acute respiratory distress syndrome in COVID-19 patients

Objective: To predict the in-hospital incidence of acute respiratory distress syndrome (ARDS) in COVID-19 patients by developing a predictive nomogram.

Where translation impacts: The non-professional community on Chinese online social media – A descriptive case study on the user-generated translation activity of Bilibili content creators

This study explored the user-generated translation activity in the context of the Chinese online social media. It focused on Bilibili content creators dedicated to translating public comments on China-related videos posted on international social media platforms such as YouTube, and creating videos featuring Chinese translated comments. Viewing their translation actions as events in a collective activity system, the authors collected data from 30 participants through a questionnaire and follow-up interviews with two participants who have recently worked on videos about China?s fight against Covid-19. All the data were analysed by using Engeström?s activity theory model to create an activity model showing how their user-generated translation activity was conducted. In this study, we observed that the participants, as the non-professional translation community on the Chinese online social media, were breaking down linguistic borders for fans and viewers, and postulated the possible interaction between the user-generated translation work and their better understanding of how the world saw China through grassroots expression of opinions.

Cardiovascular Disease and Coronavirus Disease 2019: Epidemiology, Management, and Prevention.

PURPOSE OF REVIEW: Coronavirus disease 2019 (COVID-19) has become a global pandemic associated with significant morbidity and mortality. This review summarizes findings up to date on the relationship between cardiovascular disease (CVD) and COVID-19. RECENT FINDINGS: Preexisting CVD is a common condition among patients with COVID-19 and is associated with increased disease severity and mortality. Conversely, COVID-19 has various clinical manifestations on cardiovascular system, including thrombotic events and cardiac dysfunction. The pandemic has impacted healthcare utilization among patients with CVD, which may have led to potential delay in access to the healthcare system during acute events not directly COVID-19-related. SUMMARY: While COVID-19 vaccine is being developed and distributed, controlling CVD risk factors and adherence to recommendations of existing immunization (e.g., influenza vaccine) are key in protecting the health of individuals with CVD during the COVID-19 pandemic. Further research is needed to understand the epidemiological and pathophysiological basis for the interaction between CVD and COVID-19.

The Relationship of COVID-19 Severity with Cardiovascular Disease and Its Traditional Risk Factors: A Systematic Review and Meta-Analysis.

BACKGROUND: Whether cardiovascular disease (CVD) and its traditional risk factors predict severe coronavirus disease 2019 (COVID-19) is uncertain, in part, because of potential confounding by age and sex. METHODS: We performed a systematic review of studies that explored pre-existing CVD and its traditional risk factors as risk factors of severe COVID-19 (defined as death, acute respiratory distress syndrome, mechanical ventilation, or intensive care unit admission). We searched PubMed and Embase for papers in English with original data (≥10 cases of severe COVID-19). Using random-effects models, we pooled relative risk (RR) estimates and conducted meta-regression analyses. RESULTS: Of the 661 publications identified in our search, 25 papers met our inclusion criteria, with 76,638 COVID-19 patients including 11,766 severe cases. Older age was consistently associated with severe COVID-19 in all eight eligible studies, with RR >~5 in >60-65 versus <50 years. Three studies showed no change in the RR of age after adjusting for covariate(s). In univariate analyses, factors robustly associated with severe COVID-19 were male sex (10 studies; pooled RR = 1.73, [95% CI 1.50-2.01]), hypertension (8 studies; 2.87 [2.09-3.93]), diabetes (9 studies; 3.20 [2.26-4.53]), and CVD (10 studies; 4.97 [3.76-6.58]). RR for male sex was likely to be independent of age. For the other three factors, meta-regression analyses suggested confounding by age. Only four studies reported multivariable analysis, but most of them showed adjusted RR ~2 for hypertension, diabetes, and CVD. No study explored renin-angiotensin system inhibitors as a risk factor for severe COVID-19. CONCLUSIONS: Despite the potential for confounding, these results suggest that hypertension, diabetes, and CVD are independently associated with severe COVID-19 and, together with age and male sex, can be informative for predicting the risk of severe COVID-19.

Comparison of clinical characteristics between patients with coronavirus disease 2019 (COVID-19) who retested RT-PCR positive versus negative: a retrospective study of data from Nanjing.

BACKGROUND: The epidemiological and clinical characteristics of patients with coronavirus disease 2019 (COVID-19) have been reported. However, the prevalence of retesting positive by RT-PCR for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and the associated patient characteristics, remain unclear. METHODS: We included 90 confirmed cases of COVID-19 treated in the Nanjing Public Health Center from January 20, 2020 to February 16, 2020 in this retrospective study. All patients completed treatment for COVID-19 and were retested by RT-PCR for SARS-CoV-2 4-20 days after completion of therapy. The clinical characteristics between patients with who retested positive versus negative by RT-PCR were compared, and the factors predictive of positive retesting were analyzed. Positive retesting was modeled with the area under the receiver operating characteristic curve (AUC). RESULTS: The age range of the study population was 0.8-97 years, and all patients were cured or showed improvement. A total of 10 (11%) patients retested positive by RT-PCR 4-20 days after completion of therapy. As compared with patients who retested negative, those who retested positive had a lower percentage of pre-admission fever, a higher percentage of post-admission fever, a lower percentage of bilateral lung infection, higher white blood cell (WBC) count and creatine phosphokinase, and lower hypersensitive c-reactive protein (hs-CRP), interleukin-6 and erythrocyte sedimentation rates (all P<0.05). Logistic regression analysis of the above eight key variables showed that lower hs-CRP and higher WBC were independently associated with positive retesting by RT-PCR. A combination of hs-CRP and WBC were predictive of positive retesting, with an AUC of 0.859. CONCLUSIONS: Patients with COVID-19 who retested positive by RT-PCR for SARS-CoV-2 had mild symptoms and better blood testing results. A combination of hs-CRP and WBC may predict positive retesting by RT-PCR; however, the sensitivity and specificity should be studied further.

Complementary and alternative therapies for post-traumatic stress disorder: A protocol for systematic review and network meta-analysis.

BACKGROUND: Post-traumatic stress disorder (PTSD) is a psychiatric disorder. While bringing psychologic pain to patients, it also damages their social function, which is a great threat to people's life and health. Complementary and alternative medicine (CAM) therapies have been used clinically to treat PTSD; however, the selection strategies of different CAM interventions in clinical practice is still uncertain, and the purpose of this study is to evaluate the efficacy and acceptability of different CAM therapies using systematic review and network meta-analysis. METHODS: According to the strategy, the authors will retrieve a total of 7 electronic databases by June 2020. After a series of screening, the 2 researchers will use Aggregate Data Drug Information System and Stata software to analyze the data extracted from randomized controlled trials of CAM therapies for the PTSD. Finally, the evidence grade of the results will be evaluated. RESULTS: This study will provide a reliable evidence for the selection of CAM therapies for PTSD. CONCLUSION: The results of this study will provide references for evaluating the influence of different CAM therapies for PTSD, and provide decision-making references for clinical research.

New Insights of Emerging SARS-CoV-2: Epidemiology, Etiology, Clinical Features, Clinical Treatment, and Prevention.

Since the first reports that the novel coronavirus was showing human-to-human transmission characteristics and asymptomatic cases, the number of patients with associated pneumonia has continued to rise and the epidemic has grown. It now threatens the health and lives of people across the world. The governments of many countries have attached great importance to the prevention of SARS-CoV-2, via research into the etiology and epidemiology of this newly emerged disease. Clinical signs, treatment, and prevention characteristics of the novel coronavirus pneumonia have been receiving attention worldwide, especially from medical personnel. However, owing to the different experimental methods, sample sizes, sample sources, and research perspectives of various studies, results have been inconsistent, or relate to an isolated aspect of the virus or the disease it causes. Currently, systematic summary data on the novel coronavirus are limited. This review combines experimental and clinical evidence into a systematic analysis and summary of the current progress of research into SARS-CoV-2, from multiple perspectives, with the aim of gaining a better overall understanding of the disease. Our report provides important information for current clinicians, for the prevention and treatment of COVID-19 pneumonia.

Loopholes in Current Infection Control and Prevention Practices Against COVID-19 in Radiology Department and Improvement Suggestions.

OBJECTIVES: To improve the infection control and prevention practices against coronavirus disease 2019 (COVID-19) in radiology department through loophole identification and providing rectifying measurements. METHODS: Retrospective analysis of 2 cases of health-care-associated COVID-19 transmission in 2 radiology departments and comparing the infection control and prevention practices against COVID-19 with the practices of our department, where no COVID-19 transmission has occurred. RESULTS: Several loopholes have been identified in the infection control and prevention practices against COVID-19 of the 2 radiology departments. Loopholes were in large part due to our limited understanding of the highly contagious coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which is characterized by features not observed in other SARS viruses. We recommend to set up an isolation zone for handling patients who do not meet the diagnostic criteria of COVID-19 but are not completely cleared of the possibility of infection. CONCLUSIONS: Loopholes in the infection control and prevention practices against COVID-19 of the 2 radiology departments are due to poor understanding of the emerging disease which can be fixed by establishing an isolation zone for patients not completely cleared of SARS-CoV-2 infection.

Infection Control against COVID-19 in Departments of Radiology.

The COVID-19 epidemic, which is caused by the novel coronavirus SARS-CoV-2, has spread rapidly to become a world-wide pandemic. Chest radiography and chest CT are frequently used to support the diagnosis of COVID-19 infection. However, multiple cases of COVID-19 transmission in radiology department have been reported. Here we summarize the lessons we learned and provide suggestions to improve the infection control and prevention practices of healthcare workers in departments of radiology.