Interactive training versus self-driven training in the prediction of colorectal polyp histology by trainees using the NICE classification.

BACKGROUND: The COVID-19 pandemic has impacted endoscopic training of the Narrow Band Imaging International Colorectal Endoscopic (NICE) classification, which could accurately predict pathology of colorectal polyps. This study aimed to evaluate the diagnostic performance by trainees of self-driven training vs. interactive training in the prediction of colorectal polyp histology. METHODS: This was a prospective randomized controlled study at five academic centers from January 1, 2021 to May 31, 2021. Trainees with no previous formal training of narrow band imaging or blue light imaging for prediction of colorectal polyp histology were randomly allocated to the self-driven training group or interactive training group. Before and after the training, all trainees were given 20 selected cases of colorectal polyp for testing. Their diagnostic performance was analyzed. RESULTS: Overall, the two training groups showed similar accuracy of NICE classification (79.3% vs. 78.1%; P = 0.637), vessel analysis (77.8% vs. 77.6%, P = 0.939), and surface pattern analysis (78.1% vs. 76.9%, P = 0.616). The accuracy of color analysis in the interactive training group was better (74.4% vs. 80.0%, P = 0.027). For high-confidence predictions, the self-driven training group showed higher accuracy of NICE classification (84.8% vs. 78.7%, P < 0.001) but no difference for analysis of color (79.6% vs. 81.0%), vessel pattern (83.0% vs. 78.5%), and surface pattern (81.8% vs. 78.5%). CONCLUSIONS: Overall, self-driven training showed comparable accuracy of NICE classification, vessel pattern, and surface pattern to interactive training, but lower accuracy of color analysis. This method showed comparable effectiveness and is more applicable than interactive training. It is worth spreading during the COVID-19 pandemic. Trial registration Name of the registry: Chinese Clinical Trial Registry, Trial registration number: ChiCTR2000031659, Date of registration: 06/04/2020, URL of trial registry record: http://www.chictr.org.cn/showproj.aspx?proj=51994.

Normalized COVID-19 prevention and control management.

When the coronavirus disease (COVID-19) virus swept the world in December 2019, it brought widespread side-effects. While there is no specific treatment for COVID-19, individuals and collectives often respond rapidly to develop a routine, making the prevention and control of COVID-19 normalized and institutionalized and creating vaccines successfully in a short time. However, this situation also exposed a spectrum of problems triggered by lockdown, isolation, and vaccinations. Herein, we analyze the prevention management of COVID-19 from epidemic psychology in order to provide a new sight for overcoming the psychological problems of COVID-19.

Normalized COVID-19 prevention and control management

When the coronavirus disease (COVID-19) virus swept the world in December 2019, it brought widespread side-effects. While there is no specific treatment for COVID-19, individuals and collectives often respond rapidly to develop a routine, making the prevention and control of COVID-19 normalized and institutionalized and creating vaccines successfully in a short time. However, this situation also exposed a spectrum of problems triggered by lockdown, isolation, and vaccinations. Herein, we analyze the prevention management of COVID-19 from epidemic psychology in order to provide a new sight for overcoming the psychological problems of COVID-19.

Analysis of COVID-19 Collective Irrationalities Based on Epidemic Psychology.

As the SARS-CoV-2 virus swept the world in late 2019, it has brought widespread fear, some suspicion, and degrees of stigma. In the shadow of the COVID-19 pandemics, a series of collective irrationalities such as panic buying, protest marches against vaccines, and pandemic stigma occurred. This phenomenon is inseparable from the spread of rumors about the epidemic. The advent of social media has radically changed the way we consume information and form opinions and made a flood of digital misinformation becoming ubiquitous. The diffusion of false rumors affects the public's perception of reality and disrupts the prevention of the epidemic. This paper analyzes the COVID-19 collective irrationalities from epidemic psychology to provide a new reference view for overcoming psychological problems related to COVID-19.

MOLS-Net: Multi-organ and lesion segmentation network based on sequence feature pyramid and attention mechanism for aortic dissection diagnosis

Aortic dissection is a rapid and critical cardiovascular disease. The automatic segmentation and detection of related organs and lesions in CT volumes of aortic dissection provide great help for the rapid diagnosis and treatment of aortic dissection. However, the diagnosis of aortic dissection involves multi-organ and lesion segmentation, which is also a multi-label segmentation problem. It faces many challenges, such as small target scale, variable location of the true and false lumen, and complex judgment. To solve these problems, this paper proposes a deep model (MOLS-Net) to segment and detect aortic dissection from CT volumes quickly and automatically. First, the sequence feature pyramid attention module correlates CT image sequence features of different scales and guides the current image segmentation by exploring the correlation between slices. Secondly, combine the spatial attention module and the channel attention module in the decoder of the network to strengthen the model’s positioning accuracy of the target area and the feature utilization. Thirdly, this paper designs a multi-label classifier for the inter-class relationship of multi-label segmentation of aortic dissection and realizes multi-label segmentation on the end-to-end network. In this paper, we evaluate MOLS-Net on multiple datasets (self-made aortic dissection segmentation dataset and COVID-19 CT segmentation dataset), and the results show that the proposed method is superior to other state-of-the-art methods.

Retrospective Study of Critically Ill COVID-19 Patients With and Without Extracorporeal Membrane Oxygenation Support in Wuhan, China.

Background: Extracorporeal membrane oxygenation (ECMO) might benefit critically ill COVID-19 patients. But the considerations besides indications guiding ECMO initiation under extreme pressure during the COVID-19 epidemic was not clear. We aimed to analyze the clinical characteristics and in-hospital mortality of severe critically ill COVID-19 patients supported with ECMO and without ECMO, exploring potential parameters for guiding the initiation during the COVID-19 epidemic. Methods: Observational cohort study of all the critically ill patients indicated for ECMO support from January 1 to May 1, 2020, in all 62 authorized hospitals in Wuhan, China. Results: Among the 168 patients enrolled, 74 patients actually received ECMO support and 94 not were analyzed. The in-hospital mortality of the ECMO supported patients was significantly lower than non-ECMO ones (71.6 vs. 85.1%, P = 0.033), but the role of ECMO was affected by patients' age (Logistic regression OR 0.62, P = 0.24). As for the ECMO patients, the median age was 58 (47-66) years old and 62.2% (46/74) were male. The 28-day, 60-day, and 90-day mortality of these ECMO supported patients were 32.4, 68.9, and 74.3% respectively. Patients survived to discharge were younger (49 vs. 62 years, P = 0.042), demonstrated higher lymphocyte count (886 vs. 638 cells/uL, P = 0.022), and better CO2 removal (PaCO2 immediately after ECMO initiation 39.7 vs. 46.9 mmHg, P = 0.041). Age was an independent risk factor for in-hospital mortality of the ECMO supported patients, and a cutoff age of 51 years enabled prediction of in-hospital mortality with a sensitivity of 84.3% and specificity of 55%. The surviving ECMO supported patients had longer ICU and hospital stays (26 vs. 18 days, P = 0.018; 49 vs. 29 days, P = 0.001 respectively), and ECMO procedure was widely carried out after the supplement of medical resources after February 15 (67.6%, 50/74). Conclusions: ECMO might be a benefit for severe critically ill COVID-19 patients at the early stage of epidemic, although the in-hospital mortality was still high. To initiate ECMO therapy under tremendous pressure, patients' age, lymphocyte count, and adequacy of medical resources should be fully considered.

The Traumatic Experience of Clinical Nurses During the COVID-19 Pandemic: Which Factors are Related to Post-Traumatic Growth?

OBJECTIVE: Post-traumatic growth (PTG) is a positive result of fighting against traumatic events. This study aimed to investigate the current status of PTG of clinical nurses and analyze its influencing factors. METHODS: A total of 1790 nurses participated in the study and completed the questionnaire. Demographic data and related scales of PTG, post-traumatic stress disorder, coping style, social support, and self-efficacy were collected online. Through univariate analysis and multiple linear regression analysis, the related influencing factors were studied. RESULTS: The total score of PTG of 1790 nurses was 67.17 ± 14.79. The analysis revealed that good social support and self-efficacy were important factors to improve the level of PTG of clinical nurses, while bad psychological state and working for many years were the negative factors of PTG. CONCLUSION: Good social support and self-efficacy can help clinical nurses cope with the novel coronavirus disease 2019 pandemic and accept the disease's challenges. If these factors can be considered in clinical practice, this will help promote clinical nurses' mental health.

Assessment of Chinese medicine for coronavirus-related pneumonia: A protocol for systematic review and meta-analysis.

BACKGROUND: The 2019 novel coronavirus disease has caused a global pandemic with substantial morbidity and mortality. Chinese medicine has been extensively employed in the coronavirus-related pandemic in China. We aim to assess the efficacy and safety of Chinese medicine in treatment of coronavirus-related pneumonia with the updated results of relevant clinical trials. METHODS: Six electronic databases including PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure, Chongqing VIP, and SinoMed will be searched to identify randomized controlled trials up to May 2020. Patients diagnosed with coronavirus-related pneumonia including severe acute respiratory syndrome, Middle East respiratory syndrome, and 2019 novel coronavirus disease and administrated with Chinese medicine will be included. The primary outcome is the all cause mortality at the longest follow up available. The second outcomes include the length of stay in hospital and intensive care units, the duration of mechanical ventilation, and adverse events. The pooled effects will be analyzed and reported as risk ratios for dichotomous data using the Mantel-Haenszel method or mean differences for continuous data using the inverse-variance method. Sensitivity and subgroup analyses will be performed to test the robustness of the results and to explore the potential sources of heterogeneities. The Egger test and/or funnel plots will be used for the examination of publication bias. The grades of recommendation assessment, development, and evaluation methodology will be used to summarize the quality of evidence. The trial sequential analysis will be conducted to test whether the meta-analysis has a sufficient sample size after adjustment of the increased type I and II error risks. RESULTS: The evidence to date of Chinese medicine in treatment of coronavirus-related pneumonia will be systematically reviewed and meta-analyzed. CONCLUSION: The relevant studies will be summarized and further evidence will be provided.PROSPERO registration number: CRD42020178879.

Corona virus disease 2019: hysteresis effect of chest CT and the correlation of its severity with lymphocyte count in peripheral blood (preprint)

Background Chest computed tomography (CT) has been accepted to provide reference for the diagnose and assessment the severity of Corona Virus Disease 2019 (COVID-19). Decrease in the counts of lymphocyte and leukocyte is used as the diagnostic indicator of suspected COVID-19 cases. However, there is few study on exploring the hysteresis of chest CT changes and the predictive role of lymphocyte count in peripheral blood before treatment in the severity of the disease. Methods A retrospective analysis was carried out focusing on the data of patients tested to be positive for RNA nucleic acid test of SARS-CoV-2 with nasopharyngeal swabs in 4 hospitals. An independent assessment was performed by one clinician using the DEXIN FACT Workstation Analysis System, and the assessment results were reviewed by another clinician. Furthermore, the mean hysteresis time was calculated according to the median time from progression to the most serious situation to improvement of chest CT in patients after fever relief. The optimal scaling regression analysis was performed by including variables with statistical significance in univariate analysis. In addition, a multivariate regression model was established to investigate the relationship of the percentage of lesion/total lung volume with lymphocyte and other variables. Results In the included 166 patients with COVID-19, the average value of the most serious percentage of lesion/total lung volume was 6.62, of which 90 patients with fever had an average hysteresis time of 4.5 days after symptom relief, with a similar trend observed in those without fever. Multivariate analysis revealed that lymphocyte count in peripheral blood and transcutaneous oxygen saturation decreased with the increase of the percentage of lesion/total lung volume. Meanwhile, age, fever and C-reactive protein exhibited no such effect in the established model. Conclusions There is a hysteresis effect in the improvement of chest CT image in relative to fever relief in patients with COVID-19. Besides, the percentage of lesion/total lung volume of chest CT correlates negatively with lymphocyte count in peripheral blood and transcutaneous oxygen saturation. Findings in our study may contribute to understanding the disease status of patients with COVID-19 and grasping the opportunity of treatment by clinicians.