Corpus overview


MeSH Disease

Pneumonia (960)

Disease (427)

Infections (409)

Coronavirus Infections (258)

Death (197)

Human Phenotype

Pneumonia (968)

Fever (161)

Cough (131)

Respiratory distress (72)

Hypertension (59)


    displaying 1 - 10 records in total 1010
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    Early warnings of COVID-19 outbreaks across Europe from social media?

    Authors: Milena Lopreite; Pietro Panzarasa; Michelangelo Puliga; Massimo Riccaboni

    id:2008.02649v1 Date: 2020-08-06 Source: arXiv

    We analyze social network data from Twitter to uncover early-warning signals of COVID-19 outbreaks in Europe in the winter season 2020, before the first public announcements of local sources of infection MESHD were made. We show evidence that unexpected levels of concerns about cases of pneumonia MESHD pneumonia HP were raised across a number of European countries. Whistleblowing came primarily from the geographical regions that eventually turned out to be the key breeding grounds for infections MESHD. These findings point to the urgency of setting up an integrated digital surveillance system in which social media can help geo-localize chains of contagion that would otherwise proliferate almost completely undetected.

    Alveolitis in severe SARS-CoV-2 pneumonia MESHD pneumonia HP is driven by self-sustaining circuits between infected alveolar macrophages and T cells

    Authors: Rogan A Grant; Luisa Morales-Nebreda; Nikolay S Markov; Suchitra Swaminathan; Estefany R Guzman; Darryl A Abbott; Helen K Donnelly; Alvaro Donayre; Isaac A Goldberg; Zasu M Klug; Nicole Borkowski; Ziyan Lu; Hermon Kihshen; Yuliya Politanska; Lango Sichizya; Mengjia Kang; Ali Shilatifard; Chao Qi; A Christine Argento; Jacqueline M Kruser; Elizabeth S Malsin; Chiagozie O Pickens; Sean Smith; James M Walter; Anna E Pawlowski; Daniel Schneider; Prasanth Nannapaneni; Hiam Abdala-Valencia; Ankit Bharat; Cara J Gottardi; GR Scott Budinger; Alexander A Misharin; Benjamin David Singer; Richard G Wunderink; - The NU SCRIPT Study Investigators

    doi:10.1101/2020.08.05.238188 Date: 2020-08-05 Source: bioRxiv

    Some patients infected with Severe Acute Respiratory Syndrome MESHD Coronavirus-2 (SARS-CoV-2) develop severe pneumonia MESHD pneumonia HP and the acute respiratory distress HP syndrome MESHD (ARDS). Distinct clinical features in these patients have led to speculation that the immune response to virus in the SARS-CoV-2-infected alveolus differs from other types of pneumonia MESHD pneumonia HP. We collected bronchoalveolar lavage fluid samples from 86 patients with SARS-CoV-2-induced respiratory failure HP and 252 patients with known or suspected pneumonia MESHD pneumonia HP from other pathogens and subjected them to flow cytometry and bulk transcriptomic profiling. We performed single cell RNA-Seq in 5 bronchoalveolar lavage fluid samples collected from patients with severe COVID-19 within 48 hours of intubation. In the majority of patients with SARS-CoV-2 infection MESHD at the onset of mechanical ventilation, the alveolar space is persistently enriched in alveolar macrophages and T cells without neutrophilia HP. Bulk and single cell transcriptomic profiling suggest SARS-CoV-2 infects alveolar macrophages that respond by recruiting T cells. These T cells release interferon-gamma to induce inflammatory cytokine release from alveolar macrophages and further promote T cell recruitment. Our results suggest SARS-CoV-2 causes a slowly unfolding, spatially-limited alveolitis in which alveolar macrophages harboring SARS-CoV-2 transcripts and T cells form a positive feedback loop that drives progressive alveolar inflammation MESHD.

    MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia MESHD Pneumonia HP-like Diseases MESHD Diagnosis From X-ray Scans

    Authors: Abdullah Tarek Farag; Ahmed Raafat Abd El-Wahab; Mahmoud Nada; Mohamed Yasser Abd El-Hakeem; Omar Sayed Mahmoud; Reem Khaled Rashwan; Ahmad El Sallab

    id:2008.01973v1 Date: 2020-08-05 Source: arXiv

    We present MultiCheXNet, an end-to-end Multi-task learning model, that is able to take advantage of different X-rays data sets of Pneumonia MESHD Pneumonia HP-like diseases MESHD in one neural architecture, performing three tasks at the same time; diagnosis, segmentation and localization. The common encoder in our architecture can capture useful common features present in the different tasks. The common encoder has another advantage of efficient computations, which speeds up the inference time compared to separate models. The specialized decoders heads can then capture the task-specific features. We employ teacher forcing to address the issue of negative samples that hurt the segmentation and localization performance SERO. Finally,we employ transfer learning to fine tune the classifier on unseen pneumonia MESHD pneumonia HP-like diseases MESHD. The MTL architecture can be trained on joint or dis-joint labeled data sets. The training of the architecture follows a carefully designed protocol, that pre trains different sub-models on specialized datasets, before being integrated in the joint MTL model. Our experimental setup involves variety of data sets, where the baseline performance SERO of the 3 tasks is compared to the MTL architecture performance SERO. Moreover, we evaluate the transfer learning mode to COVID-19 data set,both from individual classifier model, and from MTL architecture classification head.

    Concurrent cavitary pulmonary tuberculosisand COVID-19 pneumonia MESHD pneumonia HP with in vitro immune cell anergy:a case report.

    Authors: Maria Musso; Francesco Di Gennaro; Gina Gualano; Silvia Mosti; Carlotta Cerva; Saeid Najafi Fard; Raffaella Libertone; Virginia Di Bari; Massimo Cristofaro; Roberto Tonnarini; Delia Goletti; Fabrizio Palmieri

    doi:10.21203/ Date: 2020-08-05 Source: ResearchSquare

    Tuberculosis MESHD (TB) is top infectious disease MESHD killer caused by a single organismresponsible for 1.5 million deaths MESHD in 2018. Both COVID 19 and the pandemic responseare risking to affect control measures for TB and continuity of essential services forpeople affected by this infection MESHD in western countries and even more in developingcountries. Knowledges about concomitant pulmonary TB and COVID-19 are extremelylimited. The double burden of these two diseases MESHD can have devastating effects. Herewe describe from both the clinical and the immunological point of view a case of apatient with in vitro immune cell anergy affected by bilateral cavitary pulmonary TB andsubsequent COVID-19-associated pneumonia MESHD pneumonia HP with a worst outcome. COVID-19 can bea precipitating factor in TB respiratory failure HP and, during ongoing SARS COV 2 pandemic, clinicians must be aware of this possible coinfection MESHD in differential diagnosisof patients with active TB and new or worsening chest imaging

    COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease MESHD Monitoring

    Authors: Rula Amer; Maayan Frid-Adar; Ophir Gozes; Jannette Nassar; Hayit Greenspan

    id:2008.02150v1 Date: 2020-08-04 Source: arXiv

    In this work, we estimate the severity of pneumonia MESHD pneumonia HP in COVID-19 patients and conduct a longitudinal study of disease progression MESHD. To achieve this goal, we developed a deep learning model for simultaneous detection and segmentation of pneumonia MESHD pneumonia HP in chest Xray (CXR) images and generalized to COVID-19 pneumonia MESHD pneumonia HP. The segmentations were utilized to calculate a " Pneumonia MESHD Pneumonia HP Ratio" which indicates the disease MESHD severity. The measurement of disease MESHD severity enables to build a disease MESHD extent profile over time for hospitalized patients. To validate the model relevance to the patient monitoring task, we developed a validation strategy which involves a synthesis of Digital Reconstructed Radiographs (DRRs - synthetic Xray) from serial CT scans; we then compared the disease progression MESHD profiles that were generated from the DRRs to those that were generated from CT volumes.

    Clinical course and severity outcome indicators among COVID 19 hospitalized patients in relation to comorbidities distribution Mexican cohort

    Authors: Genny Carrillo; Nina Mendez Dominguez; Kassandra D Santos Zaldivar; Andrea Rochel Perez; Mario Azuela Morales; Osman Cuevas Koh; Alberto Alvarez Baeza

    doi:10.1101/2020.07.31.20165480 Date: 2020-08-04 Source: medRxiv

    Introduction: COVID-19 affected worldwide, causing to date, around 500,000 deaths MESHD. In Mexico, by April 29, the general case fatality was 6.52%, with 11.1% confirmed case TRANS mortality and hospital recovery rate around 72%. Once hospitalized, the odds for recovery and hospital death MESHD rates depend mainly on the patients' comorbidities and age TRANS. In Mexico, triage guidelines use algorithms and risk estimation tools for severity assessment and decision-making. The study's objective is to analyze the underlying conditions of patients hospitalized for COVID-19 in Mexico concerning four severity outcomes. Materials and Methods: Retrospective cohort based on registries of all laboratory-confirmed patients with the COVID-19 infection MESHD that required hospitalization in Mexico. Independent variables were comorbidities and clinical manifestations. Dependent variables were four possible severity outcomes: (a) pneumonia MESHD pneumonia HP, (b) mechanical ventilation (c) intensive care unit, and (d) death MESHD; all of them were coded as binary Results: We included 69,334 hospitalizations of laboratory-confirmed and hospitalized patients to June 30, 2020. Patients were 55.29 years, and 62.61% were male TRANS. Hospital mortality among patients aged TRANS<15 was 9.11%, 51.99% of those aged TRANS >65 died. Male TRANS gender TRANS and increasing age TRANS predicted every severity outcome. Diabetes and hypertension MESHD hypertension HP predicted every severity outcome significantly. Obesity MESHD Obesity HP did not predict mortality, but CKD, respiratory diseases MESHD, cardiopathies were significant predictors. Conclusion: Obesity MESHD Obesity HP increased the risk for pneumonia MESHD pneumonia HP, mechanical ventilation, and intensive care admittance, but it was not a predictor of in-hospital death MESHD. Patients with respiratory diseases MESHD were less prone to develop pneumonia MESHD pneumonia HP, to receive mechanical ventilation and intensive care unit assistance, but they were at higher risk of in-hospital death MESHD.

    Clinical Characteristics and Severity of COVID-19 Disease MESHD in Patients from Boston Area Hospitals

    Authors: Hesamaddin Torabi Dashti; David Bates; Julie M Fiskio; Elise C Roche; Samia Mora; Olga Demler

    doi:10.1101/2020.07.27.20163071 Date: 2020-08-04 Source: medRxiv

    We summarize key demographic, clinical, and medical characteristics of patients with respect to the severity of COVID-19 disease MESHD using Electronic Health Records Data of 4,140 SARS-CoV-2 positive subjects from several large Boston Area Hospitals. We found that prior use of antihypertensive medications as well as lipid lowering and other cardiovascular drugs (such as direct oral anticoagulants and antiplatelets) all track with increased severity of COVID-19 and should be further investigated with appropriate adjustment for confounders such as age TRANS and frailty MESHD. The three most common prior comorbidities are hyperlipidemia MESHD hyperlipidemia HP, hypertension MESHD hypertension HP, and prior pneumonia MESHD pneumonia HP, all associated with increased severity.

    The Lebanese Cohort for COVID-19; A Challenge for the ABO Blood SERO Group System

    Authors: Athar Khalil; Mahmoud Hassoun; Rita Feghali

    doi:10.1101/2020.08.02.20166785 Date: 2020-08-04 Source: medRxiv

    A sudden outbreak of pneumonia MESHD pneumonia HP caused by the Severe Acute Respiratory Syndrome MESHD Coronavirus 2 (SARS-CoV-2) has rapidly spread all over the world facilitating the declaration of the resultant disease MESHD as a pandemic in March,2020. In Lebanon, the fast action of announcing a state of emergency MESHD with strict measures was among the factors that helped in achieving a successful containment of the disease MESHD in the country. Predisposing factors for acquiring COVID-19 and for developing a severe form of this disease MESHD were postulated to be related to epidemiological and clinical characteristics as well as the genomics signature of a given population or its environment. Biological markers such as the ABO blood SERO group system was amongst those factors that were proposed to be linked to the variability in the disease MESHD course and/or the prevalence SERO of this infection MESHD among different groups. We therefore conducted the first retrospective case-control study in the Middle-East and North Africa that tackles the association between the blood SERO group types and the susceptibility as well as the severity of SARS-CoV2 infection MESHD. Opposing to the current acknowledged hypothesis, our results have challenged the association significance of this system with COVID-19. Herein, we highlighted the importance of studying larger cohorts using more rigorous approaches to diminish the potential confounding effect of some underlying comorbidities and genetic variants that are known to be associated with the ABO blood SERO group system.

    A valid protective immune response elicited in rhesus macaques by an inactivated vaccine is capable of defending against SARS-CoV-2 infection MESHD

    Authors: Hongbo Chen; Zhongping Xie; Runxiang Long; Shengtao Fan; Heng Li; Zhanlong He; Kanwei Xu; Yun Liao; Lichun Wang; Ying Zhang; Xueqi Li; Xingq Dong; Tangwei Mou; Xiaofang Zhou; Yaoyun Yang; Lei Guo; Jianbo Yang; Huiwen Zheng; Xingli Xu; Jing Li; Yan Liang; Dandan Li; Zhimei Zhao; Chao Hong; Heng Zhao; Guorun Jiang; Yanchun Che; Fengmei Yang; Yunguang Hu; Xi Wang; Jing Pu; Kaili Ma; Chen Chen; Weiguo Duan; Dong Shen; Hongling Zhao; Ruiju Jiang; Xinqiang Deng; Yan Li; Hailian Zhu; Jian Zhou; Li Yu; Mingjue Xu; Huijuan Yang; Li Yi; Zhenxin Zhou; Jiafang Yang; Nan Duan; Huan Yang; Wangli Zhao; Wei Yang; Changgui Li; Longding Liu; Qihan Li

    doi:10.1101/2020.08.04.235747 Date: 2020-08-04 Source: bioRxiv

    With the relatively serious global epidemic outbreak of SARS-CoV-2 infection MESHD, public concerns focus on not only clinical therapeutic measures and public quarantine for this disease MESHD but also the development of vaccines. The technical design of our SARS-CoV-2 inactivated vaccine provides a viral antigen that enables the exposure of more than one structural protein based upon the antibody SERO composition of COVID-19 patients convalescent serum SERO. This design led to valid immunity with increasing neutralizing antibody SERO titers and a CTL response detected post-immunization of this vaccine by two injections in rhesus macaques. Further, this elicited immunoprotection in macaques enables not only to restrain completely viral replication in tissues of immunized animals, compared to the adjuvant control and those immunized by an RBD peptide vaccine, but also to significantly alleviate inflammatory lesion in lung tissues in histo-pathologic detection, compared to the adjuvant control with developed interstitial pneumonia MESHD pneumonia HP. The data obtained from these macaques immunized with the inactivated vaccine or RBD peptide vaccine suggest that immunity with a clinically protective effect against SARS-CoV-2 infection MESHD should include not only specific neutralizing antibodies SERO but also specific CTL responses against at least the S and N antigens.

    Evaluation of Convalescent Plasma SERO versus Standard of Care for the Treatment of COVID-19 in Hospitalazed Patients: study protocol for a phase 2 randomized, open-label, controlled, multicenter trial

    Authors: Elena Diago-Sempere; Jose Luis Bueno; Aranzazu Sancho-Lopez; Elena Munez-Rubio; Ferran Torres; Rosa Malo de Molina; Ana Fernandez-Cruz; Isabel Salcedo De Diego; Ana Velasco-Iglesias; Concepcion Payares Herrera; Inmaculada Casas Flecha; Cristina Avendano-Sola; Rafael Duarte Palomino; Antonio Ramos-Martinez; Belen Ruiz-Antoran

    doi:10.1101/2020.07.31.20165720 Date: 2020-08-04 Source: medRxiv

    Background: COVID-19 is a respiratory disease MESHD caused by a novel coronavirus (SARS-CoV-2) and causes substantial morbidity and mortality. At the time this clinical trial was planned, there were no available vaccine or therapeutic agents with proven efficacy, but the severity of the condition prompted the use of several pharmacological and non-pharmacological interventions. It has long been hypothesized that the use of convalescent plasma SERO (CP) from infected patients who have developed an effective immune response is likely to be an option for the treatment of patients with a variety of severe acute respiratory infections MESHD (SARI) of viral etiology. The aim of this study is to assess the efficacy and safety of convalescent plasma SERO in adult TRANS patients with severe COVID-19 pneumonia MESHD pneumonia HP. Methods/Design: The ConPlas-19 study is a multicenter, randomized, open-label controlled trial. The protocol has been prepared in accordance with the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) guidelines. The study has been planned to include 278 adult TRANS patients hospitalized with severe COVID-19 infection MESHD not requiring mechanical ventilation (invasive or non-invasive). Subjects are randomly assigned in a 1:1 ratio (139 per treatment arm), stratified by center, to receive intravenously administered CP (single infusion) plus SOC or SOC alone, and are to be followed for 30 days. The primary endpoint of the study is the proportion of patients that progress to categories 5, 6 or 7 (on the 7-point ordinal scale proposed by the WHO) at day 15. Interim analyses for efficacy and/or futility will be conducted once 20%, 40%, and 60% of the planned sample size are enrolled and complete D15 assessment. Discussion: This clinical trial is designed to evaluate the efficacy and safety of passive immunotherapy with convalescent plasma SERO for the treatment of adult TRANS patients hospitalized with COVID-19. The results of this study are expected to contribute to establishing the potential place of CP in the therapeutics for a new viral disease MESHD. Trial registration: Trial registration at; Registration Number: NCT04345523;; Registered on 30 March, 2020. First posted date: April 14, 2020. Keywords: COVID-19, randomized, controlled trial, protocol, convalescent plasma SERO (CP), antibodies SERO.

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MeSH Disease
Human Phenotype

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