Employment Intention of Chinese Medical Students During the COVID-19 Epidemic: A Cross-Sectional Survey.

Context: In the process of combating the coronavirus disease 2019 (COVID-19) epidemic, medical personnel were at the forefront of the fight. As the future medical workforce, medical students often experienced firsthand how their seniors and teachers had to commit to working hard in combating the epidemic. Many were directly involved in the front line of the fight and that experience could easily have affected their intention to seek employment in a medically related career. Objective: The study intended to evaluate the impact of the COVID-19 pandemic on Chinese medical students' employment intentions and the factors associated with them to put forward relevant suggestions to provide a basis for medical education in the future. Design: The research team conducted a cross-sectional study, using an anonymous online questionnaire. Setting: The study took place in many provinces and cities in China and was conducted in an online questionnaire. Participants: Participants were 1114 college students studying clinical medicine, college students studying nursing, and students interning during standardized resident training, medical interns. Outcome Measures: The participants completed a self-administered questionnaire, which investigated their psychological statuses related to anxiety and depression as well as COVID-19's impact on their intentions related to job searches, regarding their willingness to engage in clinical or basic research in epidemic-related specialties and epidemic-related work. Results: Compared to college students studying clinical medicine, the employment intentions of nursing students and medical interns were more vulnerable to the epidemic. Females and nursing students were more reluctant to choose clinical work, and the choice was associated with depression. Nursing college students and medical interns were significantly less willing to engage in infection medicine, respiratory medicine, and intensive care medicine (all P < .001). Medical students with a bachelor's degree and postgraduate degrees were significantly less willing to engage in infection medicine and respiratory medicine (all P < .001), but medical students from regions with stable epidemics were more willing to engage in intensive care medicine. Medical students with a bachelor's degree were significantly less likely to be involved in epidemiology-related work than undergraduate students, and students from severe epidemic regions were significantly less willing to work in isolation wards or to go to Wuhan as volunteers. Conclusions: Participants' psychological statuses related to anxiety and depression, genders, degrees, current educational statuses, and regions affected employment intentions during the epidemic.

Analyzing the influence of COVID-19 epidemic on the employment intention of resident physicians in China.

INTRODUCTION: To investigate the effects and influencing factors of the COVID-19 epidemic on the employment intention of resident physicians in China. METHODOLOGY: 409 questionnaires were statistically analyzed after removing the missing values. We used the Chi-Square test for single-factor analysis and logistic regression analysis for multivariate analysis. The questions include the residents' employment intention and their willingness to engage in epidemic-related subspecialties and participate in epidemic-related work. RESULTS: Residents of severe and high-risk epidemic regions had much lower employment intentions than those of stable epidemic regions (OR = 1.917, 95% CI: 1.024, 3.591, p = 0.042). The higher the Center for Epidemiologic Studies Depression Scale (CES-D) score, the more susceptible was the resident's employement intention (OR = 1.085, 95% CI: 1.044, 1.128, p < 0.001). Residents from severe and high-risk epidemic regions were more willing to participate in clinical work (OR = 4.263, 95% CI: 1.892, 9.604, p < 0.001), and the higher the CES-D score, the lower was the proportion of residents willing to choose clinical work (OR = 0.941, 95% CI: 0.893, 0.992, p = 0.023). Residents from severe epidemics and high-risk provinces were less willing to participate in respiratory medicine (χ2 = 5.070, p = 0.027) and critical care medicine (χ2 = 7.046, p = 0.011). Compared to residents with bachelor's degrees, residents with master's and doctoral degrees were less willing to participate in isolation wards (OR = 1.831, 95% CI: 1.122, 2.990, p = 0.016). Residents in epidemic-related current rotation departments were less willing to go to Wuhan as volunteers (OR = 2.197, 95% CI: 1.110, 4.347, p = 0.024). CONCLUSIONS: The COVID-19 outbreak had a negative impact on the job intentions of Chinese residents in general.

Clinical Characteristics and Inflammatory Immune Responses in COVID-19 Patients With Hypertension: A Retrospective Study.

Coronavirus disease (COVID-19) patients with cardiovascular and metabolic disorders have been found to have a high risk of developing severe conditions with high mortality, further affecting the prognosis of COVID-19. However, the effect of hypertension and angiotensin-converting enzyme inhibitors (ACEI) and angiotensin receptor blocker (ARB) agents on the clinical characteristics and inflammatory immune responses in COVID-19 patients is still undefined. In this study, 90 COVID-19 patients were divided into hypertension and nonhypertension groups. The hypertension group was divided into well-controlled and poorly controlled subgroups based on blood pressure levels; moreover, hypertensive patients were also divided into ACEI/ARB and non-ACEI/ARB subgroups according to the administration of ACEI/ARB antihypertensive agents. The clinical characteristics of and inflammatory immune biomarker levels in the different groups of COVID-19 patients were compared, and the association between the combined effect of hypertension with ACEI/ARB antihypertensive agents and the severity of COVID-19 was examined. The results showed that the levels of aminotransferase (AST) and hs-cTnI were higher in the hypertension group compared with the nonhypertension group. The long-term use of ACEI/ARB agents in patients had statistically significantly lower AST, low-density lipoprotein cholesterol (LDL-C), and oxygen uptake and lower white cell count, neutrophil count, and levels of CD4, CD8, CRP, and PCT but without statistical significance. In addition, compared with COVID-19 patients without hypertension, hypertensive patients without the use of ACEI/ARB had a higher risk of developing severity of COVID-19 (for poorly controlled patients: OR = 3.97, 95% CI = 1.03-15.30; for well-controlled patients: OR = 6.48, 95% CI = 1.77-23.81). Hypertension could cause organ damage in COVID-19 patients, but the long-term use of ACEI/ARB agents may be beneficial to alleviate this injury.

Communication on the prevention and treatment of COVID-19 epidemic between Anhui Province of China and federal districts along the Volga river in Russia

The ongoing coronavirus infection (COVID19) pandemic is associated with high rates of morbidity and mortality. Russia, as a transport hub between Europe and Asia, has been hit hard by COVID19. The aim of this publication is to present the materials of a teleconference held between experts from Anhui province in China and experts from the federal districts of Russia. Material and methods. Discussion of methods of prevention and treatment of the new coronavirus infection COVID19, as well as issues affecting the immune aspects of the disease, complications and possible longterm followup for patients after a new coronavirus infection. Results and discussion. The situation was especially difficult for the federal district along the Volga River, so we shared and discussed questions on the prevention and treatment of the COVID19 epidemic, which were asked by the experts of the region. Conclusion. The presented article is the result of an online meeting of the doctors from the Volga region of Russia with experts from Anhui province in China.

Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)

The aim is to diagnose COVID-19 earlier and to improve its treatment by applying medical technology, the “COVID-19 Intelligent Diagnosis and Treatment Assistant Program (nCapp)” based on the Internet of Things. Terminal eight functions can be implemented in real-time online communication with the “cloud” through the page selection key. According to existing data, questionnaires, and check results, the diagnosis is automatically generated as confirmed, suspected, or suspicious of 2019 novel coronavirus (2019-nCoV) infection. It classifies patients into mild, moderate, severe or critical pneumonia. nCapp can also establish an online COVID-19 real-time update database, and it updates the model of diagnosis in real time based on the latest real-world case data to improve diagnostic accuracy. Additionally, nCapp can guide treatment. Front-line physicians, experts, and managers are linked to perform consultation and prevention. nCapp also contributes to the long-term follow-up of patients with COVID-19. The ultimate goal is to enable different levels of COVID-19 diagnosis and treatment among different doctors from different hospitals to upgrade to the national and international through the intelligent assistance of the nCapp system. In this way, we can block disease transmission, avoid physician infection, and epidemic prevention and control as soon as possible.

Comparative Analysis of Early-Stage Clinical Features Between COVID-19 and Influenza A H1N1 Virus Pneumonia.

Introduction: Influenza virus pneumonia and COVID-19 are two different types of respiratory viral pneumonia but with very similar clinical manifestations. The aim of the present study was to help clinicians gain a better understanding about differences between Influenza virus pneumonia and COVID-19 by comparative analysis of the early-stage clinical features. Methods: Clinical data of patients with confirmed diagnosis of COVID-19 and influenza A pneumonia identified in our hospital were collected and analyzed retrospectively to identify the clinical features that could differentiate between the two types of viral pneumonia. Results: The two types of viral pneumonia mainly affected adults, especially people over 50 years, with no gender difference between them. Fever, cough, sputum and muscle soreness were the most common symptoms of COVID-19. Some patients with COVID-19 may also exhibit digestive tract symptoms. Elevation of C-reactive protein (CRP) was a more common phenomenon in patients with COVID-19 than that in patients with influenza A H1N1 virus pneumonia. In addition, eosinophil count was decreased and the monocyte percentage was increased in COVID-19 patients. The grid-form shadow was a typical presentation of COVID-19 on the lung CT image, and the disease usually progressed quickly within a week. Conclusion: Influenza pneumonia and COVID-19 are two different types of respiratory viral pneumonia with very similar clinical manifestations. The percentage of monocytes is increased and the eosinophil count is decreased in COVID-19. Glass-ground density exudation shadow located peripherally is the typical sign of COVID-19 on the lung CT image, and the shadow often with grid-form sign. These features may not be typically observed in patients with influenza pneumonia. Chest CT scan combined with nucleic acid detection is an effective and accurate method for diagnosing COVID-19. Blood routine test has a limited diagnostic value in differentiating the two forms of pneumonia.

Impact of Cardiovascular Disease on Clinical Characteristics and Outcomes of Coronavirus Disease 2019 (COVID-19).

BACKGROUND: To investigate the effect of cardiovascular disease (CVD) on the global pandemic, coronavirus disease 2019 (COVID-19), we analyzed the cases of laboratory-confirmed COVID-19 patients in Wuhan.Methods and Results:Data were extracted from the medical records. SARS-CoV-2 RNA was confirmed by RT-PCR. A total of 33 (53.2%) of 62 cases with CVD, who had higher prevalence of severe COVID-19 compared with non-CVD patients (P=0.027). The median age of all patients was 66.0 (53.3, 73.0) years old. Coronary artery disease (11.3%) and hypertension (38.7%) were the common coexisting CVDs in COVID-19 patients. High-sensitivity cardiac troponin I (hs-cTnI), creatinine, high-density lipoprotein-cholesterol, interleukin-6, C-reactive protein, prothrombin time, and D-dimer levels in the severe COVID-19 with CVD group were higher than in the non-severe COVID-19 with CVD group (P<0.05). For all patients, chest computed tomography (CT) showed ground-glass opacity (66.1%), local (21.0%), bilateral (77.4%), and interstitial abnormalities (4.8%). In COVID-19 patients with CVD, 27 (81.8%) were cured and discharged. 6 (18.2%) remained in hospital, including 2 (3.2%) patients requiring intubation and mechanical ventilation. The hs-cTnI levels in the remaining hospitalized patients were higher than in the discharged patients (P=0.047). CONCLUSIONS: CVDs play a vital role in the disease severity of COVID-19. COVID-19 could result in myocardial injury, which affects the prognosis of COVID-19.

The epidemiologic and clinical features of suspected and confirmed cases of imported 2019 novel coronavirus pneumonia in north Shanghai, China.

BACKGROUND: A recent cluster of pneumonia cases in Wuhan (China) is known to be caused by a novel beta-coronavirus named the corona virus disease 2019 (COVID-19) and can be spread through human-to-human transmission. METHODS: Data of 21 patients with laboratory-confirmed COVID-19 and 84 patients with suspected COVID-19 were analyzed by RT-PCR. The epidemiologic and clinical features as well as clinical outcomes were compared between the confirmed and suspected cases. RESULTS: Altogether 105 patients had been enrolled in this study by February 15, 2020 in north Shanghai, including 21 confirmed cases and 84 suspected cases of COVID-19. The incubation period of these confirmed patients with imported COVID-19 was 17.6 days (IQR 5-34 days) and the median time from symptom onset to diagnosis was 145.64 h (IQR 21-441 h). More than 50% of the confirmed patients were older than 51 (range, 51-60) years. Fifty (59.5%) of the 84 probably patients were younger than 40 years, including 27 (32%) patients younger than 30 years. Most confirmed patients were men (61.9%, 13/21), and less than 50% of them had underlying diseases, including diabetes (9.5%, 2/21), hypertension (19%, 4/21), COPD (23.8%, 5/21), and CD (23.8%, 5/21). In addition, 10 (47.6%) of the 21 confirmed patients were ordinary employees, and 12 (57.2%) of them had recently been to Wuhan or had close contacts with people from Wuhan. Of the 84 suspected patients, 28 (33.3%) were retired employees; 69 (82.1%) had recently been to supermarkets and groceries or had a history of traveling abroad or to other cities of China. The common onset symptoms of the patients in both groups were fever and cough. The symptom of Sputum production was more pronounced in probably patients (40.5%, 34/84) than that in confirmed patients (9.5%, 2/21). More than 50% imported patients (53.3%, 56/105) had one and two affected lobes. Twenty-nine (27.6%) of the 105 imported patients had been discharged, no patient had died, and all the other patients are still in hospital. CONCLUSIONS: The overall incubation period in this cohort of imported confirmed COVID-19 patients was longer than that in Wuhan, mostly infecting older men. The disease onset of imported COVID-19 infection was occult, and the clinical symptoms were usually mild, mostly presenting as low fever, fatigue, light cough, and mild dyspnea.

Assessing risk factors for SARS-CoV-2 infection in patients presenting with symptoms in Shanghai, China: a multicentre, observational cohort study.

Background: The outbreak of COVID-19 has led to international concern. We aimed to establish an effective screening strategy in Shanghai, China, to aid early identification of patients with COVID-19. Methods: We did a multicentre, observational cohort study in fever clinics of 25 hospitals in 16 districts of Shanghai. All patients visiting the clinics within the study period were included. A strategy for COVID-19 screening was presented and then suspected cases were monitored and analysed until they were confirmed as cases or excluded. Logistic regression was used to determine the risk factors of COVID-19. Findings: We enrolled patients visiting fever clinics from Jan 17 to Feb 16, 2020. Among 53 617 patients visiting fever clinics, 1004 (1·9%) were considered as suspected cases, with 188 (0·4% of all patients, 18·7% of suspected cases) eventually diagnosed as confirmed cases. 154 patients with missing data were excluded from the analysis. Exposure history (odds ratio [OR] 4·16, 95% CI 2·74-6·33; p<0·0001), fatigue (OR 1·56, 1·01-2·41; p=0·043), white blood cell count less than 4 × 109 per L (OR 2·44, 1·28-4·64; p=0·0066), lymphocyte count less than 0·8 × 109 per L (OR 1·82, 1·00-3·31; p=0·049), ground glass opacity (OR 1·95, 1·32-2·89; p=0·0009), and having both lungs affected (OR 1·54, 1·04-2·28; p=0·032) were independent risk factors for confirmed COVID-19. Interpretation: The screening strategy was effective for confirming or excluding COVID-19 during the spread of this contagious disease. Relevant independent risk factors identified in this study might be helpful for early recognition of the disease. Funding: National Natural Science Foundation of China.