Corpus overview


Overview

MeSH Disease

Human Phenotype

Transmission

Seroprevalence
    displaying 21 - 30 records in total 43
    records per page




    Comparison of initial HRCT features of COVID-19 pneumonia HP pneumonia MESHD and other viral pneumonias MESHD pneumonias HP

    Authors: Yilong Huang; Yuanming Jiang; Li Wu; Wenfang Yi; Jiyao Ma; Peng Wang; Ying Xie; Zhipeng Li; Xiang Li; Minchang Hong; Jialong Zhou; Chuwei Duan; Yunhui Yang; Wei Zhao; Feng Yuan; Dan Han; Bo He

    doi:10.21203/rs.3.rs-29527/v1 Date: 2020-05-17 Source: ResearchSquare

    Background: Multicenter retrospective comparison of the first high-resolution computed tomography (HRCT) findings of coronavirus disease MESHD 2019 (COVID-19) and other viral pneumonias MESHD pneumonias HP.Methods: We retrospectively collected clinical and imaging data from 254 cases of confirmed TRANS viral pneumonia MESHD pneumonia HP in 20 hospitals in Yunnan Province, China, from March 1, 2015, to March 15, 2020. According to the virus responsible for the pneumonia HP pneumonia MESHD, the pneumonias HP pneumonias MESHD were divided into non-COVID-19 (133 cases) and COVID-19 (121 cases). The non-COVID-19 pneumonias HP pneumonias MESHD included 3 types: cytomegalovirus (CMV) (31 cases), influenza A virus (82 cases), and influenza B virus (20 cases). The differences in the basic clinical characteristics, lesion distribution, location and imaging signs among the four viral pneumonias HP pneumonias MESHD were analyzed and compared.Results: Fever HP Fever MESHD and cough HP cough MESHD were the most common clinical symptoms of the four viral pneumonias HP pneumonias MESHD. Compared with the COVID-19 patients, the non-COVID-19 patients had higher proportions of fatigue HP fatigue MESHD, sore throat, expectorant and chest tightness HP chest tightness MESHD (all p<0.000). In addition, in the CMV pneumonia MESHD pneumonia HP patients, the proportion of patients with combined acquired immunodeficiency HP immunodeficiency MESHD syndrome ( AIDS MESHD) and leukopenia HP leukopenia MESHD were high (all p<0.000). Comparisons of the imaging findings of the four viral pneumonias HP pneumonias MESHD showed that pulmonary lesions of COVID-19 were more likely to occur in the peripheral and lower lobes of both lungs, while those of CMV pneumonia MESHD pneumonia HP were diffusely distributed. Compared with the non-COVID-19 pneumonias HP pneumonias MESHD, COVID-19 pneumonia HP pneumonia MESHD was more likely to present as ground-glass opacity (GGO), intralobular interstitial thickening HP, vascular thickening and halo sign (all p<0.05). In addition, in the early stage of COVID-19, extensive consolidation, fibrous stripes, subpleural lines, crazy-paving pattern, tree-in-bud HP, mediastinal lymphadenectasis, pleural thickening HP pleural thickening MESHD and pleural effusion HP pleural effusion MESHD were rare (all p<0.05).Conclusion: The HRCT findings of COVID-19 pneumonia HP pneumonia MESHD and other viral pneumonias MESHD pneumonias HP overlapped significantly, but many important differential imaging features could still be observed.

    Comparison of Hospitalized Patients with Severe Pneumonia MESHD Pneumonia HP Caused by COVID-19 and Highly Pathogenic Avian Influenza (H7N9): A Retrospective Study from A Designated Hospital

    Authors: Binbin Gu; Lin Yao; XinYun Zhu; Pei-jun Tang; Cheng Chen

    doi:10.21203/rs.3.rs-28119/v1 Date: 2020-05-08 Source: ResearchSquare

    Background Considerable attention has been focused on clinical features of Coronavirus Disease MESHD 2019 (COVID-19), it is also important for clinicians to differentiate it from influenza virus infections MESHD.Methods The clinical data of 23 cases of H7N9 and 23 cases of COVID-19 with severe pneumonia HP pneumonia MESHD were collected. The comparisons were performed with the t test, Mann-Whitney U test, Fisher exact test or the chi-squared test, and multivariable logistic regression analysis.Results All of the cases were under the circumstance of sufficient medical staff and medical supplies. The rate of coexisting disease was lower in the severe COVID-19 group than in the severe H7N9 group (p < 0.05). Radiologically, severe COVID-19 patients had less consolidation and pleural effusion HP pleural effusion MESHD, but more crazy-paving pattern than severe H7N9 patients (p < 0.05). Clinically, compared to severe H7N9, severe COVID-19 patients were more inclined to surfer to relative better disease severity score, less secondary bacterial infection MESHD, a shorter time to beginning absorption on CT, but a longer duration of viral shedding from the admission (p < 0.05). Although more severe H7N9 patients needed non-invasive respiratory support, these two groups ultimately yielded comparable mortality. Based on multiple logistic regression analysis, severe COVID-19 infection MESHD was associated with a lower risk of the presence of severe ARDS (OR 0.964, 95% [CI] 0.931–0.998, p = 0.040), but exhibited longer duration of viral shedding (OR 0.734, 95% [CI] 0.550–0.980, p = 0.036) than severe H7N9 infection MESHD.Conclusion Although the conditions of severe H7N9 patients seemed to be more critical than those of severe COVID-19 patients, the relatively lower mortality of these two severe cases is to be expected in context of sufficient medical supplies.

    TRACKING AND PREDICTING COVID-19 RADIOLOGICAL TRAJECTORY USING DEEP LEARNING ON CHEST MESHD X-RAYS: INITIAL ACCURACY TESTING

    Authors: Simon Duchesne; Daniel Gourdeau; Patrick Archambault; Carl Chartrand-Lefebvre; Louis Dieumegarde; Reza Forghani; Christian Gagne; Alexandre Hains; David Hornstein; Huy Le; Simon Lemieux; Marie-Helene Levesque; Diego Martin; Lorne Rosenbloom; An Tang; Fabrizio Vecchio; Nathalie Duchesne

    doi:10.1101/2020.05.01.20086207 Date: 2020-05-05 Source: medRxiv

    Background - Decision scores and ethically mindful algorithms are being established to adjudicate mechanical ventilation in the context of potential resources shortage due to the current onslaught of COVID-19 cases. There is a need for a reproducible and objective method to provide quantitative information for those scores. Purpose - Towards this goal, we present a retrospective study testing the ability of a deep learning algorithm at extracting features from chest x-rays (CXR) to track and predict radiological evolution. Materials and Methods - We trained a repurposed deep learning algorithm on the CheXnet open dataset (224,316 chest X-ray images of 65,240 unique patients) to extract features that mapped to radiological labels. We collected CXRs of COVID-19-positive patients from two open-source datasets (last accessed on April 9, 2020)(Italian Society for Medical and Interventional Radiology and MILA). Data collected form 60 pairs of sequential CXRs from 40 COVID patients (mean age TRANS +/- standard deviation: 56 +/- 13 years; 23 men, 10 women, seven not reported) and were categorized in three categories: Worse, Stable, or Improved on the basis of radiological evolution ascertained from images and reports. Receiver operating characteristic analyses, Mann-Whitney tests were performed. Results - On patients from the CheXnet dataset, the area under ROC curves ranged from 0.71 to 0.93 for seven imaging features and one diagnosis. Deep learning features between Worse and Improved outcome categories were significantly different for three radiological signs and one diagnostic (Consolidation, Lung Lesion MESHD, Pleural Effusion HP Pleural Effusion MESHD and Pneumonia HP; all P < 0.05). Features from the first CXR of each pair could correctly predict the outcome category between Worse and Improved cases with 82.7% accuracy. Conclusion - CXR deep learning features show promise for classifying the disease trajectory. Once validated in studies incorporating clinical data and with larger sample sizes, this information may be considered to inform triage decisions.

    The first 2019-nCoV infection case report from Iran

    Authors: Maryam Mansoori; Somayeh Vafaei; Zahra Madjd; Masoume Mesgarian

    doi:10.21203/rs.3.rs-26452/v1 Date: 2020-05-01 Source: ResearchSquare

    Background: The total mortality rate of COVID-19 is estimated almost at 2 % based on a wide range of publications. To avoid negative global impact of this new emergency, the entailment of control measures for prevention is highly recommended. Unfortunately, Iran has been the manifestation of attention as one of the countries is struggling with this pandemic. Here we intend to report a unique case of 2019-nCoV infected patient with underlying diseases MESHD and one of the rare pulmonary manifestations of 2019-nCoV infection MESHD ( pleural effusion HP pleural effusion MESHD) who has recovered and discharged. Case presentation: The current case report from Iran showed a positive COVID-19 case accompanied by pleural effusion HP pleural effusion MESHD and severe pneumonia HP pneumonia MESHD and even underlying diseases. She received twelve days of treatment and recovered with good oxygen saturation and without associated factors including fever HP fever MESHD and cough HP cough MESHD. In this report, presentations, diagnoses and management of novel 2019 coronavirus patient has been described in details. Conclusions: The pleural effusion HP pleural effusion MESHD in 2019-nCoV is not a dominant feature and can be considered as one of the diagnostic features in the disease. Even with underlying diseases, 2019-nCoV symptoms are not supposed to be severed. 

    Acute Pulmonary Embolism HP Pulmonary Embolism MESHD In Non-Hospitalized Covid-19 Patients Referred To CTPA By Emergency Department

    Authors: GERVAISE Alban; BOUZAD Caroline; PEROUX Evelyne; HELISSEY Carole

    doi:10.21203/rs.3.rs-26229/v1 Date: 2020-04-29 Source: ResearchSquare

    Objectives: To evaluate the prevalence SERO of acute pulmonary embolism HP pulmonary embolism MESHD (APE) in non-hospitalized COVID-19 patients referred to CT pulmonary angiography (CTPA) by Emergency Department.Methods: From March 14 to April 6, 2020, 72 non-hospitalized patients referred by Emergency Department to CTPA for COVID-19 pneumonia HP pneumonia MESHD were retrospectively identified. Relevant clinical and laboratory data and CT scan findings were collected for each patient. CTPA scans were reviewed by two radiologists to determinate the presence or absence of APE MESHD. Clinical classification, lung involvement of COVID-19 pneumonia HP pneumonia MESHD and CT total severity score were compared between APE group and Non-APE group.Results: APE was identified in 13 (18%) CTPA scans. The mean age TRANS and D-dimer of patients from APE group were higher in comparison with Non-APE group (74.4 vs. 59.6 years, p=0.008 and 7.29 vs. 3.29 µg/ml, p=0.011). There was no significant difference between APE and Non-APE groups concerning clinical type, COVID-19 pneumonia HP pneumonia MESHD lung lesions (ground-glass opacity: 85 vs. 97%; consolidation: 69 vs. 68%; crazy paving: 38% vs. 37%; linear reticulation: 69 vs. 78%), CT severity score (6.3 vs. 7.1, p=0.365), quality of CTPA (1.8 vs. 2.0, p=0.518) and pleural effusion HP pleural effusion MESHD (38% vs. 19%, p=0.146).Conclusions: Non-hospitalized patients with COVID-19 pneumonia HP pneumonia MESHD referred to CT-scan by Emergency Departments are at risk of APE. Presence of APE was not limited to severe or critical clinical type of COVID-19 pneumonia HP pneumonia MESHD.

    Temporal radiographic changes in COVID-19 patients: relationship to disease severity and viral clearance

    Authors: Xiaofan Liu; Hong Zhou; Yilu Zhou; Xiaojun Wu; Yang Zhao; Yang Lu; Weijun Tan; Mingli Yuan; Xuhong Ding; Jinjing Zou; Ruiyun Li; Hailing Liu; Rob M. Ewing; Yi Hu; Hanxiang Nie; Yihua Wang

    doi:10.21203/rs.3.rs-25855/v1 Date: 2020-04-28 Source: ResearchSquare

    Background: COVID-19 is “public enemy number one” and has placed an enormous burden on health authorities across the world. Given the wide clinical spectrum of COVID-19, understanding the factors that can predict disease severity will be essential since this will help frontline clinical staff to stratify patients with increased confidence.Purpose: To investigate the diagnostic value of the temporal radiographic changes, and the relationship to disease severity and viral clearance in COVID-19 patients.Methods: In this retrospective cohort study, we included 99 patients admitted to the Renmin Hospital of Wuhan University, with laboratory confirmed moderate or severe COVID-19. Temporal radiographic changes and viral clearance were explored using appropriate statistical methods.Results: Radiographic features from HRCT scans included ground-glass opacity, consolidation, air bronchogram, nodular opacities MESHD and pleural effusion HP pleural effusion MESHD. The HRCT scores (peak) during disease course in COVID-19 patients with severe pneumonia HP pneumonia MESHD (median: 24.5) were higher compared to those with pneumonia HP pneumonia MESHD (median: 10) (p=3.56×10-12), with more frequency of consolidation (p=0.025) and air bronchogram (p=7.50×10-6). The median values of days when the peak HRCT scores were reached in pneumonia HP pneumonia MESHD or severe pneumonia HP pneumonia MESHD patients were 12 vs. 14, respectively (p=0.048). Log-rank test and Spearman's Rank-Order correlation suggested temporal radiographic changes as a valuable predictor for viral clearance. In addition, follow up CT scans from 11 pneumonia HP pneumonia MESHD patients showed full recovery.Conclusion: Given the values of HRCT scores for both disease severity and viral clearance, a standardised HRCT score system for COVID-19 is highly demanded.

    High Resolution Computed Tomography Finding in 552 Patients with Symptomatic COVID-19: First Report from North of Iran

    Authors: Hadi Majidi; Elham-Sadat Bani-Mostafavi; Zahra Mardanshahi; Farnaz Godazandeh; Roya Gasemian; Keyvan Heydari; Reza Alizadeh-Navaei

    doi:10.21203/rs.3.rs-25817/v1 Date: 2020-04-27 Source: ResearchSquare

    Purpose: Due to the emergence of the new Coronavirus-2019 and the lack of sufficient information about infected patients, this study was conducted to investigate the Chest High Resolution Computed Tomography (HRCT) findings of patients infected with the new Coronavirus 2019.Methods: This cross-sectional study was performed on COVID-19 patients referred to Medical Imaging Centers of Sari, Mazandaran, Iran, on March 2020 for Computed Tomography Scan (CT-Scan). Symptomatic patients were referred to the Medical Imaging Center for diagnosis confirmation through CT-scan. In addition to age TRANS and sex, HRCT findings were collected from the picture archiving and communication system (PACS) for further evaluations.Results: Out of 552 patients with mean age TRANS of 14.8 ± 51.2 years, the male TRANS/ female TRANS ratio was 1.38 to 1. The most common expressive findings in patients were ground-glass opacity (GGO) (87.3%), peripheral distribution (82.4%) and posterior distribution (81.5%). The most conflicting findings in patients were pleural effusion HP pleural effusion MESHD (7.6%), peribronchovascular distribution (7.6%), and lymphadenopathy HP lymphadenopathy MESHD (5.1%). The peripheral distribution (p = 0.034), round opacities (p = 0.02), single lobe (p = 0.003) and pleural effusion HP pleural effusion MESHD (p = 0.037) were significantly in people under and over 50 years of age TRANS.Conclusion: In summary, the present study indicated that in addition to GGO, peripheral distribution findings could be a vital diagnostic choice in COVID-19 patients.

    Distinguishing COVID-19 from influenza pneumonia HP pneumonia MESHD in the early stage through CT imaging and clinical features

    Authors: Zhiqi Yang; Daiying Lin; Xiaofeng Chen; Jinming Qiu; Shengkai Li; Ruibin Huang; Hongfu Sun; Yuting Liao; Jianning Xiao; Yanyan Tang; Guorui Liu; Renhua Wu; Xiangguang Chen; Zhuozhi Dai

    doi:10.1101/2020.04.17.20061242 Date: 2020-04-22 Source: medRxiv

    Purpose: To identify differences in CT imaging and clinical features between COVID-19 and influenza pneumonia HP pneumonia MESHD in the early stage, and to identify the most valuable features in the differential diagnosis. Materials and Method: A consecutive cohort of 73 COVID-19 and 48 influenza pneumonia HP pneumonia MESHD patients were retrospectively recruited from five independent institutions. The courses of both diseases were confirmed to be in the early stages (mean 2.66 (SD 2.62) days for COVID-19 and mean 2.19 (SD 2.10) days for influenza pneumonia MESHD pneumonia HP after onset). The chi-square test, student`s t-test, and Kruskal-Wallis H-test were performed to compare CT imaging and clinical features between the two groups. Spearman or Kendall correlation tests between feature metrics and diagnosis outcomes were also assessed. The diagnostic performance SERO of each feature in differentiating COVID-19 from influenza pneumonia HP pneumonia MESHD was evaluated with univariate analysis. The corresponding area under the curve (AUC), accuracy, specificity, sensitivity SERO and threshold were reported. Results: The ground-glass opacification (GGO) was the most common imaging feature in COVID-19, including pure-GGO (75.3%) and mixed-GGO (78.1%), mainly in peripheral distribution. For clinical features, most COVID-19 patients presented normal white blood SERO cell (WBC) count (89.04%) and neutrophil count (84.93%). Twenty imaging features and 6 clinical features were identified to be significantly different between the two diseases. The diagnosis outcomes correlated significantly with the WBC count (r=-0.526, P<0.001) and neutrophil count (r=-0.500, P<0.001). Four CT imaging features had absolute correlations coefficients higher than 0.300 (P<0.001), including crazy-paving pattern, mixed-GGO in peripheral area, pleural effusions HP pleural effusions MESHD, and consolidation. Conclusions: Among a total of 1537 lesions and 62 imaging and clinical features, 26 features were demonstrated to be significantly different between COVID-19 and influenza pneumonia MESHD pneumonia HP. The crazy-paving pattern was recognized as the most powerful imaging feature for the differential diagnosis in the early stage, while WBC count yielded the highest diagnostic efficacy in clinical manifestations.

    Coronavirus Disease MESHD 2019 (COVID-19) in Italy: features on Chest Computed Tomography using a structured report system

    Authors: Grassi Roberto; Fusco Roberta; Belfiore Maria Paola; Montanelli Alessandro; Patelli Gianluigi; Urraro Fabrizio; Petrillo Antonella; Granata Vincenza; Sacco Palmino; Mazzei Maria Antonietta; Feragalli Beatrice; Reginelli Alfonso; Cappabianca Salvatore

    doi:10.21203/rs.3.rs-24312/v1 Date: 2020-04-21 Source: ResearchSquare

    OBJECTIVE. To assess the use of a structured report system in the Chest Computed Tomography (CT) reporting of patients with suspicious viral pneumonia HP pneumonia MESHD by COVID-19 and the evaluation of the main CT patterns.MATERIALS AND METHODS. This study included 134 patients (43 women and 91 men; 68.8 years of mean age TRANS, range 29-93 years) with suspicious COVID-19 viral infection MESHD evaluated by reverse transcription real-time fluorescence polymerase chain reaction (RT-PCR) test. All patients underwent CT examinations at the time of admission. CT images were reviewed by two radiologists who identified COVID-19 CT patterns using a structured reports.RESULTS. Temporal difference mean value between RT-PCRs and CT scan was 0.18 days ±2.0 days. CT findings were positive for viral pneumonia MESHD pneumonia HP in 94.0% patients while COVID-19 was diagnosed at RT-PCR in 77.6% patients. Mean value of time for radiologist to complete the structured report was 8.5 min±2.4 min. The disease on chest CT predominantly affected multiple lobes and the main CT feature was GGOs with or without consolidation (96.8%). GGOs was predominantly bilateral (89.3%), peripheral (80.3%), multifocal/patching (70.5%). Consolidation disease was predominantly bilateral (83.9%) with prevalent peripheral (87.1%) and segmental (47.3%) distribution. Additional CT signs were the crazy-paving pattern in 75.4% of patients, the septal thickening in 37.3% of patients, the air bronchogram sign in 39.7% and the “reversed halo” sign in 23.8%. Less frequent characteristics at CT regard discrete pulmonary nodules, increased trunk diameter of the pulmonary artery, pleural effusion HP pleural effusion MESHD and pericardium effusion (7.9%, 6.3%, 14.3% and 16.7%, respectively). Barotrauma MESHD sign was absent in all the patients. High percentage (54.8%) of the patients had mediastinal lymphadenopathy HP mediastinal lymphadenopathy MESHD.CONCLUSION. Using a Chest CT structured report, with a standardized language, we identified that the cardinal hallmarks of COVID-19 infection MESHD were bilateral, peripheral and multifocal/patching ground-glass opacities and bilateral consolidations with peripheral and segmental distribution. 

    18F-FDG PET/CT uptake in COVID-19: case report of a patient with lung metastases MESHD after treatment of nasal cavity malignancy MESHD

    Authors: Hongyan Feng; Lihong Bu

    doi:10.21203/rs.3.rs-23861/v1 Date: 2020-04-20 Source: ResearchSquare

    Background: In high COVID-19 prevalence SERO region, COVID-19 disease may be incidental found in non-specific symptoms or asymptomatic TRANS patient with history of tumor MESHD who underwent 18F-FDG-PET/CT for standard oncologic indications.Case presentation: A 51-year-old woman with a 4-year history of adenoid cystic carcinoma of nasal cavity MESHD carcinoma HP of nasal cavity underwent 18F-FDG PET/CT for restaging during COVID-19 outbreak in Wuhan. Pneumonia HP Pneumonia MESHD lesions were characterized by 18F-FDG uptake ground-glass opacities (GGOs) and multifocal high 18F-FDG-avid patchy consolidation, and without lymph node involvement and pleural effusion HP pleural effusion MESHD. Furthermore, multiple 18F-FDG-positive lung and lumbar metastases MESHD were observed. Finally, a diagnosis of COVID-19 was made based on a positive real-time fluorescent polymerase chain reaction (RT-PCR) test of SARS-CoV-2 nucleic acid. Conclusion: The non-specific symptoms or asymptomatic TRANS cancer MESHD patients presenting 18F-FDG-positive GGOs and patchy consolidation lesions in lung may favor COVID-19, who should be quickly SARS-CoV-2 nucleic acid tested and monitored.

The ZB MED preprint Viewer preVIEW includes all COVID-19 related preprints from medRxiv and bioRxiv, from ChemRxiv, from ResearchSquare, from arXiv and from Preprints.org and is updated on a daily basis (7am CET/CEST).
The web page can also be accessed via API.

Sources


Annotations

All
None
MeSH Disease
Human Phenotype
Transmission
Seroprevalence


Export subcorpus as...

This service is developed in the project nfdi4health task force covid-19 which is a part of nfdi4health.

nfdi4health is one of the funded consortia of the National Research Data Infrastructure programme of the DFG.