Corpus overview


MeSH Disease

Human Phenotype


    displaying 1 - 3 records in total 3
    records per page

    Symptomatology of Coronavirus Disease MESHD 2019 (COVID-19) - Lessons from A Meta-Analysis Across 13 Countries

    Authors: Champika Saman Kumara Gamakaranage; Dineshani Hettiarachchi; Dileepa Ediriweera; Saroj Jayasinghe

    doi:10.21203/ Date: 2020-07-01 Source: ResearchSquare

    Background: COVID-19 pandemic has resulted in varying clinical manifestations and mortality rates. There is no consensus on the symptomatology that would guide researchers and clinicians.Objective: The objective of the study was to identify symptoms and their frequencies of coronavirus disease MESHD 2019 with a meta-analysis of studies from several countries. Data sources: A systematic review using PubMed and Google Scholar data sources and reference tracing TRANS were used to identify 7176 relevant articles. Eligibility criteria: Suitable articles were selected manually with selection criteria and 14 original articles included for meta-analysis. Data abstraction analysis: PRISMA guideline was used for abstracting data. Then a table was generated by feeding it with numbers and proportions of each symptom described in original studies. A meta-analysis was carried out using random effect models on each symptom separately across the studies and their prevalence SERO rates and 95% confident intervals calculated.Results: We identified 14 relevant scientific papers, either cross-sectional or cohort studies and analyzed. There were 2,660 cases of COVID-19. he majority were from China (n=2,439, 91.7%) and remainder from the Netherlands, Italy, Korea and India and one article from Europe. There was a total of 32 symptoms (i.e. present in >50% of patients): fever (79.56%, 95% CI: 72.17-86.09%), malaise (63.3%, 95% CI: 53.1 – 73.0%), cough MESHD cough HP (56.7. %, 95% CI: 48.6 - 64.6 %) and cold (55.6%, 95% CI: 45.2 – 65.7%). Symptoms of intermediate incidence (5-49%) were; anosmia HP, sneezing MESHD sneezing HP, ocular pain HP pain MESHD, fatigue MESHD fatigue HP, sputum production, arthralgia MESHD arthralgia HP, tachypnea MESHD tachypnea HP, palpitation HP, headache MESHD headache HP, chest tightness HP, shortness of breath, chills MESHD chills HP, myalgia MESHD myalgia HP, sore throat, anorexia MESHD anorexia HP, weakness, diarrhea MESHD diarrhea HP, rhinorrhea HP, dizziness MESHD, nausea MESHD nausea HP, altered level of consciousness, vomiting MESHD vomiting HP and abdominal pain MESHD abdominal pain HP. Rare symptoms (<5% of patients) were: tonsil swelling, haemoptysis, conjunctival injection, lymphadenopathy MESHD lymphadenopathy HP and rash were uncommon symptoms of coronavirus disease MESHD (<5%).Conclusion and implications of key findings: We found (25/32) symptoms to be present in =>5% of cases which could be considered as “typical” symptoms of COVID-19. The list of symptoms we identified are different from those documents released by the WHO, CDC, NHS, Chinese CDC, Institute Pasteur and Mayo Clinic. The compiled list would be useful for future researchers to document a comprehensive picture of the illness.

    Covid-19 in Chile. The experience of a Regional reference Center. Preliminary report

    Authors: Felipe Olivares; Daniel Munoz; Alberto Fica; Ignacio Delama; Ignacia Alvarez; Maritza Navarrete; Eileen Blackburn; Pamela Garrido; Juan Granjean

    doi:10.1101/2020.06.14.20130898 Date: 2020-06-16 Source: medRxiv

    During the first pandemic wave Covid-19 reached Latin America cities. Aim: To report clinical features and outcomes associated to Covid-19 in a group of patients admitted during the first wave in a regional reference Center in southern Chile designated to severe and critical cases. Methods: Cases were identified by a compatible clinical picture associated to positive RT-PCR or serological testing SERO. A standard protocol was applied. Results: 21 adult TRANS patients (20 diagnosed by PCR, one by serology) were admitted between epidemiological weeks 13 to 20, involving 8.8% of total regional cases. Hospitalization occurred at a median of 11 days after symptoms onset TRANS. Patients [≥]60 years old predominated (57.1%). Hypertension MESHD Hypertension HP (61.9%), obesity MESHD obesity HP (57.1%) and diabetes mellitus MESHD diabetes mellitus HP 2 (38.1%) were prevalent but 19% had no comorbid conditions nor were elderly TRANS. Two cases involved second-trimester pregnant women. Positive IgM or IgM/IgG results obtained by rapid serological testing SERO were limited (19% at 1st week; 42.9% at 2nd week). Nine patients (42.9%, critical group) were transferred to ICU and connected to mechanical ventilation due to respiratory failure HP. By univariate analysis admission to ICU was significantly associated to tachypnea MESHD tachypnea HP and higher plasmatic LDH values. One pregnant woman required urgent cesarean section given birth to a premature MESHD birth to a premature HP neonate without vertical transmission TRANS. Two patients died (in-hospital mortality 9.5%) and length of stay was equal or higher than 14 days in 57.9% of patients. Conclusion: In our regional Center, Covid 19 was associated to known risk factors, had a prolonged stay and in-hospital mortality. Tachypnea MESHD Tachypnea HP [≥]30/min is predictive of transfer to ICU.

    Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner

    Authors: Yunlu Wang; Menghan Hu; Qingli Li; Xiao-Ping Zhang; Guangtao Zhai; Nan Yao

    id:2002.05534v1 Date: 2020-02-12 Source: arXiv

    Research significance: During the epidemic prevention and control period, our study can be helpful in prognosis, diagnosis and screening for the patients infected with COVID-19 (the novel coronavirus) based on breathing characteristics. According to the latest clinical research, the respiratory pattern of COVID-19 is different from the respiratory patterns of flu and the common cold MESHD. One significant symptom that occurs in the COVID-19 is Tachypnea MESHD Tachypnea HP. People infected with COVID-19 have more rapid respiration. Our study can be utilized to distinguish various respiratory patterns and our device can be preliminarily put to practical use. Demo videos of this method working in situations of one subject and two subjects can be downloaded online. Research details: Accurate detection of the unexpected abnormal respiratory pattern of people in a remote and unobtrusive manner has great significance. In this work, we innovatively capitalize on depth camera and deep learning to achieve this goal. The challenges in this task are twofold: the amount of real-world data is not enough for training to get the deep model; and the intra-class variation of different types of respiratory patterns is large and the outer-class variation is small. In this paper, considering the characteristics of actual respiratory signals, a novel and efficient Respiratory Simulation Model (RSM) is first proposed to fill the gap between the large amount of training data and scarce real-world data. Subsequently, we first apply a GRU neural network with bidirectional and attentional mechanisms (BI-AT-GRU) to classify 6 clinically significant respiratory patterns (Eupnea, Tachypnea MESHD Tachypnea HP, Bradypnea, Biots, Cheyne-Stokes and Central-Apnea HP Apnea MESHD). The proposed deep model and the modeling ideas have the great potential to be extended to large scale applications such as public places, sleep scenario, and office environment.

The ZB MED preprint Viewer preVIEW includes all COVID-19 related preprints from medRxiv and bioRxiv, from ChemRxiv, from ResearchSquare, from arXiv and from and is updated on a daily basis (7am CET/CEST).



MeSH Disease
Human Phenotype

Export subcorpus as Endnote

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.