Early Stage Of Coronavirus Disease 2019 Research Articles

Cardiac injuries in patients with coronavirus disease 2019: Not to be ignored

ObjectiveTo describe the clinical features of coronavirus disease 2019 (COVID-19). MethodsWe recruited 73 patients with COVID-19 [49 men and 24 women; average age: 58.36 years (SD: 14.31)] admitted to the intensive care unit of Wuhan Jinyintan Hospital from December 30, 2019 to February 16, 2020. Demographics, underlying diseases, and laboratory test results on admission were collected and analyzed. Data were compared between survivors and non-survivors. ResultsThe non-survivors were older (65.46 [SD 9.74]vs 46.23 [12.01]) and were more likely to have chronic medical illnesses. Non-survivors tend to develop more severe lymphopenia, with higher C-reactive protein, interleukin-6, D-dimer, and hs-Troponin I(hs-TnI) levels. Patients with elevated hs-TnI levels on admission had shorter duration from symptom onset to death. Increased hs-TnI level was related to dismal prognosis. Death risk increased by 20.8% when the hs-TnI level increased by one unit. After adjusting for inflammatory or coagulation index, the independent predictive relationship between hs-TnI and death disappeared. ConclusionsCardiac injury may occur at the early stage of COVID-19, which is associated with high mortality. Inflammatory factor cascade and coagulation abnormality may be the potential mechanisms of COVID-19 combined with cardiac injury.

Clinically Application Value of CT Imaging in Predicting Illness Severity in the Early Stages of COVID-19: A Nomogram Plot Model

Background: Coronavirus disease 2019 (COVID-19) has been a serious health threat worldwide We aimed to describe a nomogram plot for the prediction of identifyi

Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China.

The outbreak of Corona Virus Disease 2019 (COVID-19) is a grave global public health emergency. Nowadays, social media has become the main channel through which the public can obtain information and express their opinions and feelings. This study explored public opinion in the early stages of COVID-19 in China by analyzing Sina-Weibo (a Twitter-like microblogging system in China) texts in terms of space, time, and content. Temporal changes within one-hour intervals and the spatial distribution of COVID-19-related Weibo texts were analyzed. Based on the latent Dirichlet allocation model and the random forest algorithm, a topic extraction and classification model was developed to hierarchically identify seven COVID-19-relevant topics and 13 sub-topics from Weibo texts. The results indicate that the number of Weibo texts varied over time for different topics and sub-topics corresponding with the different developmental stages of the event. The spatial distribution of COVID-19-relevant Weibo was mainly concentrated in Wuhan, Beijing-Tianjin-Hebei, the Yangtze River Delta, the Pearl River Delta, and the Chengdu-Chongqing urban agglomeration. There is a synchronization between frequent daily discussions on Weibo and the trend of the COVID-19 outbreak in the real world. Public response is very sensitive to the epidemic and significant social events, especially in urban agglomerations with convenient transportation and a large population. The timely dissemination and updating of epidemic-related information and the popularization of such information by the government can contribute to stabilizing public sentiments. However, the surge of public demand and the hysteresis of social support demonstrated that the allocation of medical resources was under enormous pressure in the early stage of the epidemic. It is suggested that the government should strengthen the response in terms of public opinion and epidemic prevention and exert control in key epidemic areas, urban agglomerations, and transboundary areas at the province level. In controlling the crisis, accurate response countermeasures should be formulated following public help demands. The findings can help government and emergency agencies to better understand the public opinion and sentiments towards COVID-19, to accelerate emergency responses, and to support post-disaster management.

Gastrointestinal symptoms in patients with mild and severe COVID-19: a scoping review and meta-analysis.

The current research aimed to analyze and summarize observational studies that compared the incidence of gastrointestinal symptoms in mild and severe COVID-19 infection. Coronavirus disease 2019 (COVID-19) has been identified as a public health threat worldwide. Previous studies, however, have reported contradictory results of COVID-19-related gastrointestinal symptoms in severe and mild forms. A search of Medline, ISI Web of Science, EMBASE, and Cochrane Library databases was conducted for articles published up to May 2020. Data from each study was combined using the random-effects model to calculate odds ratios (ORs) and 95% confidence intervals (95% CIs). Sensitivity was examined by sequentially excluding one study in each turn. Publication bias was evaluated using the Egger's and Begg's tests. Twenty studies (4,265 patients) were reviewed. It was found that the prevalence of diarrhea [OR (0.40), (95% CI 0.91, -2.16), p = 0.03, I2 = 88.1%, PHeterogenity = 0.00)] and nausea and vomiting [OR (0.27), (95% CI 0.07, 1.01), p = 0.05, I2 = 89.3%, PHeterogenity = 0.00)] increased significantly in the severe form compared to the mild form of COVID-19, while abdominal pain and anorexia had no significant increased prevalence in admitted and hospitalized COVID-19 patients. Moreover, COVID-19-related gastrointestinal symptoms were seen in higher rates in males [OR (1.42), (95% CI 1.23, 1.65), p < 0.05, I2= 18.4%, PHeterogenity = 0.23] than in females. No significant publication bias was observed in the meta-analysis. Sensitivity analyses showed a similar effect size while reducing the heterogeneity. The data provides valuable information for the discovery of prognosis biomarkers to diagnosis more severe disease in the early stages of COVID-19.

Prevalence and Duration of Acute Loss of Smell or Taste in COVID-19 Patients.

Initially, acute loss of smell (anosmia) and taste (ageusia) was not considered important symptoms for coronavirus disease 2019 (COVID-19). To determine the prevalence of these symptoms and to evaluate their diagnostic significance, we (approximately 150 physicians of the Daegu Medical Association) prospectively collected data of cases of anosmia and ageusia from March 8, 2020, via telephone interview among 3,191 patients in Daegu, Korea. Acute anosmia or ageusia was observed in 15.3% (488/3,191) patients in the early stage of COVID-19 and in 15.7% (367/2,342) patients with asymptomatic-to-mild disease severity. Their prevalence was significantly more common among females and younger individuals (P = 0.01 and P < 0.001, respectively). Most patients with anosmia or ageusia recovered within 3 weeks. The median time to recovery was 7 days for both symptoms. Anosmia and ageusia seem to be part of important symptoms and clues for the diagnosis of COVID-19, particularly in the early stage of the disease.