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MeSH Disease

Human Phenotype

Transmission

Seroprevalence
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    Early fibroproliferative changes on high-resolution CT predict mortality in COVID-19 pneumonia MESHD pneumonia HP patients with ARDS

    Authors: Zhilin Zeng; Min Xiang; Hanxiong Guan; Yiwen liu; huilan Zhang; Liming Xia; Zhan Juan; Qiongjie Hu

    doi:10.21203/rs.3.rs-32245/v1 Date: 2020-05-28 Source: ResearchSquare

    Objectives: To investigate the chest high-resolution CT (HRCT) findings in coronavirus disease MESHD 2019 (COVID-19) pneumonia MESHD pneumonia HP patients with acute respiratory distress HP syndrome MESHD (ARDS) and to evaluate its relationship with clinical outcome.Materials and Methods In this retrospective study, seventy-nine COVID-19 patients with ARDS were recruited. Clinical data were extracted from electronic medical records and analyzed. HRCT scans, obtained within 3 days before clinical ARDS onset, were evaluated by three independent observers and graded into six findings according to the extent of fibroproliferation. Multivariable Cox proportional hazard regression analysis was used to assess the independent predictive value of the CT score and radiologically fibroproliferation. Patient survival was determined by Kaplan-Meier analysis.Results: Compared with survivors, non-survivors showed higher of lung fibroproliferation, whereas there no significant differences in the area of increased attenuation without traction bronchiolectasis HP or bronchiectasis MESHD bronchiectasis HP. A HRCT score <230 enabled prediction of survival with 73.5% sensitivity SERO and 93.3% specificity (AUC= 0.9; 95% CI 0.831 to 0.968). Multivariate Cox proportional hazards model showed that the HRCT score is a significant independent risk factor for mortality (HR 13.007; 95% CI 3.935 to 43.001). Kaplan-Meier analysis revealed HRCT score≥230 was associated with higher fatality rate. Organ injury occurred less frequently in patients with HRCT score<230 compared to those with HRCT score≥230.Conclusion: Early pulmonary fibroproliferative changes in HRCT predicts increased mortality and susceptibility to organ injury in COVID-19 pneumonia MESHD pneumonia HP patients with early ARDS.

    Computed Tomography and Clinical Features Differentiating Coronavirus Disease MESHD 2019 from Seasonal Influenza Pneumonia MESHD Pneumonia HP

    Authors: Shuang Zhao; Zixing Huang; Hanjiang Zeng; Zhixia Chen; Fengming Luo; Chongwei Zhang; Bin Song

    doi:10.21203/rs.3.rs-31186/v1 Date: 2020-05-23 Source: ResearchSquare

    Objectives: To investigate computed tomography (CT) and clinical features could help differentiate coronavirus disease MESHD 2019 (COVID-19) from seasonal influenza pneumonia MESHD pneumonia HP.Methods: We retrospectively evaluated the clinical features and chest CT findings of Chinese patients with COVID-19 and seasonal influenza pneumonia MESHD pneumonia HP treated during the same period. Results: The 24 patients with COVID-19 (mean age TRANS, 41 years; 13 men) and 79 patients with seasonal influenza pneumonia MESHD pneumonia HP (mean age TRANS, 41 years; 50 men) differed significantly in mean temperature, respiratory rate, and systolic blood SERO pressure; in central-peripheral, superior-inferior, and anterior-posterior distribution but not lateral distribution of pulmonary lesions; and patchy ground-glass opacity (GGO), GGO nodules, vascular enlargement in GGO, air bronchogram, bronchiolectasis HP in GGO or consolidation, interlobular septal thickening, and crazy-paving pattern. Separate regression models were developed with clinical features, CT features (including anatomical distributions), and a combined model informed by the first two. The combined model had the best diagnostic performance SERO for identifying COVID-19: a cut-off value of 0.38 was 74% sensitive and 100% specific and had an area under the receiver operating characteristics curve of 0.94. This model was based on sputum production, vascular enlargement in GGO, and central-peripheral distribution (random vs subpleural). Conclusions: The combination of sputum production, vascular enlargement in GGO, and central-peripheral distribution should be extremely helpful in the differential diagnosis of COVID-19. 

    Chest Computed Tomography Findings in Asymptomatic TRANS Patients with COVID-19

    Authors: Min Cheol Chang; Jian Hur; Donghwi Park

    doi:10.1101/2020.05.09.20096370 Date: 2020-05-15 Source: medRxiv

    Background: Little is known about the damage to the respiratory system in asymptomatic TRANS patients with coronavirus disease MESHD (COVID-19). Objective: Herein, we evaluated the findings of chest computed tomography (CT) and radiography in patients with COVID-19 who were asymptomatic TRANS. Methods: We retrospectively investigated patients with a confirmed diagnosis of COVID-19 but who did not show any symptoms. Among the 139 patients with COVID-19 who were hospitalized, 10 (7.2%) were asymptomatic TRANS. Their chest CT and radiographic findings were analyzed. Results: In the results, all patients (100%) had ground glass opacity (GGO) on chest CT. Further, the GGO lesions were predominantly distributed peripherally and posteriorly in all patients. In 9 (90%) patients, the GGO lesions were combined with reticular opacity. Air-bronchogram due to bronchiolectasis HP surrounded by GGO was observed in 8 patients (80%). Additionally, the lung lesions were dominant on the right side in all patients. Conclusions: In conclusion, considering our results that the lung is affected in asymptomatic TRANS patients, it will be necessary to extend the indications of COVID-19 testing for effective management of COVID-19 during the pandemic.

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MeSH Disease
Human Phenotype
Transmission
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