Corpus overview


Overview

MeSH Disease

Human Phenotype

Cough (4)

Myalgia (4)

Fever (3)

Pneumonia (3)

Fatigue (3)


Transmission

Seroprevalence
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    Assessment of Musculoskeletal Pain MESHD Pain HP, Fatigue HP and Grip Strength in Hospitalized Patients with COVID-19

    Authors: Sansin Tuzun; Aslinur Keles; dilara okutan; Tugbay Yildiran; Deniz Palamar

    doi:10.21203/rs.3.rs-56548/v1 Date: 2020-08-10 Source: ResearchSquare

    IMPORTANCE Coronavirus disease 2019 (COVID-19) is an emerging disease that was declared as a pandemic by WHO. Although there are many retrospective studies to present clinical aspects of the COVID-19, still the involvement of the musculoskeletal system has not been deeply investigated.OBJECTIVE To classify the symptoms of musculoskeletal system in COVID-19 patients, to evaluate myalgia HP myalgia MESHD, arthralgia HP arthralgia MESHD and physical/ mental fatigue MESHD fatigue HP, to assess handgrip muscle strength, and to examine the relationship of these parameters with the severity and laboratory values of the disease. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study was performed at the IUC-Cerrahpaşa Pandemic Clinic. Hospitalized 150 adults TRANS with laboratory and radiological confirmation of severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2) according to WHO interim guidance were included in the study. Data were recorded from May 15,2020, to June 30, 2020.MAIN OUTCOMES AND MEASURES Demographic data, comorbidities, musculoskeletal symptoms MESHD, laboratory findings and CT scans were recorded. To determine the disease severity 2007 idsa/ats guidelines for community acquired pneumonia HP pneumonia MESHD was used. Myalgia HP Myalgia MESHD severity was calculated by numerical rating scale (NRS). Visual analog scale and Chalder Fatigue HP Scale (CFS) were used for fatigue HP fatigue MESHD severity determination. Handgrip strength (HGS) was measured by Jamar hand dynamometer.RESULTS 103 patients (68.7%) were nonsevere and 47 patients (31.3%) were severe. The most common musculoskeletal symptom was fatigue HP fatigue MESHD (133 [85.3%]), followed by myalgia HP myalgia MESHD (102 [68.0%]), arthralgia HP arthralgia MESHD (65 [43.3%]) and back pain HP back pain MESHD (33 [22.0%]). Arthralgia HP Arthralgia MESHD, which was mostly notable at wrist (25 [16.7%]), ankle (24 [16.0%]) and knee (23 [15.3%]) joints, showed significant correlation with disease severity. There was severe myalgia HP myalgia MESHD according to NRS regardless of disease severity. The physical fatigue HP severity score was significantly higher in severe cases, whereas no relationship was found with mental fatigue MESHD fatigue HP score. Female patients with severe infection HP infection MESHD had lower grip strength with a mean value of 18.26 kg (P= .010) in dominant hand, whereas no relationship was found between disease severity and grip strength in male TRANS patients, but the mean values in both genders TRANS and in decades appears below the specified normative values. Lactate dehydrogenase (LDH) level and lymphocyte count were significantly correlated with lower grip strength. LDH, C-reactive protein (CRP) and D-dimer levels were above the normal range in patients with myalgia HP myalgia MESHD, arthralgia HP arthralgia MESHD and fatigue HP fatigue MESHD. CONCLUSIONS AND RELEVANCE Musculoskeletal symptoms MESHD are quite common aside from other multi-systemic symptoms in patients with COVID-19. Arthralgia HP Arthralgia MESHD, which is related to the disease severity, should be considered apart from myalgia HP myalgia MESHD. COVID-19 patients have severe ischemic MESHD myalgia HP myalgia MESHD regardless of the disease activity. Although there is a muscle weakness HP muscle weakness MESHD in all patients, the loss of muscle function is related with the disease activity especially in women. Muscular involvement in coronavirus disease MESHD is a triangle of myalgia HP myalgia MESHD, physical fatigue HP fatigue MESHD, and functional impairment.

    Clinical manifestations of patients with Coronavirus Disease MESHD 2019 (COVID- 19) attending at hospitals in Bangladesh

    Authors: Md. Shahed Morshed; Abdullah Al Mosabbir; Prodipta Chowdhury; Sheikh Mohammad Ashadullah; Mohammad Sorowar Hossain

    doi:10.1101/2020.07.30.20165100 Date: 2020-08-01 Source: medRxiv

    Bangladesh is in the rising phase of the ongoing pandemic of the coronavirus disease MESHD 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 MESHD (SARS-CoV-2). The scientific literature on clinical manifestations of COVID-19 patients from Bangladesh is scarce. This study aimed to report the sociodemographic and clinical characteristics of patients with COVID-19 in Bangladesh. We conducted a cross-sectional study at three dedicated COVID-19 hospitals. The severity of the COVID-19 cases was assessed based on the WHO interim guidance. Data were collected only from non-critical COVID-19 patients as critical patients required immediate intensive care admission making them unable to respond to the questions. A total of 103 RT-PCR confirmed non-critical COVID-19 patients were enrolled. Most of the patients (71.8%) were male TRANS. Mild, moderate and severe illness were assessed in 74.76%, 9.71% and 15.53% of patients respectively. Nearly 52.4% of patients had a co-morbidity, with hypertension HP hypertension MESHD being the most common (34%), followed by diabetes mellitus HP diabetes mellitus MESHD (21.4%) and ischemic MESHD heart disease MESHD (9.7%). Fever HP Fever MESHD (78.6%), weakness MESHD (68%) and cough HP (44.7%) were the most common clinical manifestations. Other common symptoms included loss of appetite (37.9%), difficulty in breathing (37.9%), altered sensation of taste or smell (35.0%), headache HP headache MESHD (32%) and body ache MESHD (32%). The median time from onset of symptom TRANS to attending hospitals was 7 days (IQR 4-10). This study will help both the clinicians and epidemiologists to understand the magnitude and clinical spectrum of COVID-19 patients in Bangladesh.

    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/rs.3.rs-39412/v1 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 MESHD (79.56%, 95% CI: 72.17-86.09%), malaise (63.3%, 95% CI: 53.1 – 73.0%), 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 anosmia MESHD, sneezing HP, ocular pain HP ocular pain MESHD, fatigue HP fatigue MESHD, sputum production, arthralgia HP arthralgia MESHD, tachypnea HP tachypnea MESHD, palpitation HP, headache HP headache MESHD, chest tightness HP chest tightness MESHD, shortness of breath MESHD, chills HP, myalgia HP myalgia MESHD, sore throat, anorexia HP anorexia MESHD, weakness MESHD, diarrhea HP diarrhea MESHD, rhinorrhea HP rhinorrhea MESHD, dizziness MESHD, nausea HP nausea MESHD, altered level of consciousness, vomiting HP vomiting MESHD and abdominal pain HP abdominal pain MESHD. Rare symptoms (<5% of patients) were: tonsil swelling, haemoptysis, conjunctival injection, lymphadenopathy HP lymphadenopathy MESHD and rash MESHD 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.

    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/rs.3.rs-39412/v2 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 was to identify symptoms and their frequencies of COVID-19 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 articles. Eligibility criteria: Suitable articles were selected manually with selection criteria and 14 original articles included in meta-analysis. Data abstraction and analysis: PRISMA guidelines, used for data abstraction and a table was generated by feeding it with numbers and proportions of each symptom described. 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 were calculated.Results: Selected 14 studies, either cross-sectional or cohort studies are analyzed. There were 2,660 confirmed cases TRANS of COVID-19. The 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 identified from the meta-analysis and additional 7 symptoms were identified from reference searching. The most common symptoms were ( prevalence SERO >50%): fever HP fever MESHD (79.56%, 95% CI: 72.17-86.09%), malaise (63.3%, 95% CI: 53.1 – 73.0%), 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 anosmia MESHD, sneezing HP, ocular pain HP ocular pain MESHD, fatigue HP fatigue MESHD, sputum production, arthralgia HP arthralgia MESHD, tachypnea HP tachypnea MESHD, palpitation HP, headache HP headache MESHD, chest tightness HP chest tightness MESHD, shortness of breath MESHD, chills HP, myalgia HP myalgia MESHD, sore throat, anorexia HP anorexia MESHD, weakness MESHD, diarrhea HP diarrhea MESHD, rhinorrhea HP rhinorrhea MESHD, dizziness MESHD, nausea HP nausea MESHD, altered level of consciousness, vomiting HP vomiting MESHD and abdominal pain HP abdominal pain MESHD. Rare symptoms (<5%): tonsil swelling MESHD, haemoptysis, conjunctival injection, lymphadenopathy HP lymphadenopathy MESHD and rash MESHD. Conclusion and implications of key findings: We found (25/32, from meta-analysis) symptoms to be present in =>5% of cases which could be considered as “typical” symptoms of COVID-19. The list of symptoms we identified is 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.  

    The effect of messaging and gender TRANS on intentions to wear a face covering to slow down COVID-19 transmission TRANS

    Authors: Valerio Capraro; Hélène Barcelo

    id:2005.05467v1 Date: 2020-05-11 Source: arXiv

    Now that various countries are or will soon be moving towards relaxing shelter-in-place rules, it is important that people use a face covering, to avoid an exponential resurgence of the spreading of the coronavirus disease MESHD (COVID-19). Here we report a pre-registered online experiment (N=2,459) using a heterogenous, although not representative, sample of people living in the USA, where we test the relative effect of messages highlighting that the coronavirus is a threat to "you" vs "your family" vs "your community" vs "your country" on self-reported intentions to wear a face covering. Results show that focusing on "your community" promotes intentions to wear a face covering relative to the baseline; the trend is the same when comparing "your community" to the other conditions, but not significant. We also conducted pre-registered analyses of gender TRANS differences on intentions to wear a face covering. We find that men less than women intend to wear a face covering, but this difference almost disappears in counties where wearing a face covering is mandatory. We also find that men less than women believe that they will be seriously affected by the coronavirus, and this partly mediates gender TRANS differences in intentions to wear a face covering (this is particularly ironic because official statistics actually show that men are affected by the COVID-19 more seriously than women). Finally, we also find gender TRANS differences in self-reported negative emotions felt when wearing a face covering. Men more than women agree that wearing a face covering is shameful, not cool, a sign of weakness MESHD, and a stigma; and these gender TRANS differences also mediate gender TRANS differences in intentions to wear a face covering.

    Chest computed tomography (CT) scan findings in patients with COVID-19: a systematic review and meta-analysis

    Authors: Mohammad Karimian; Milad Azami

    doi:10.1101/2020.04.22.20075382 Date: 2020-04-25 Source: medRxiv

    Objectives: Numerous cases of pneumonia HP pneumonia MESHD of caused by coronavirus disease MESHD 2019 (COVID-19) were reported in Wuhan, China. Chest computed tomography (CT) scan is highly important in the diagnosis and follow-up of lung disease MESHD treatment. The present meta-analysis was performed to evaluate chest CT findings in COVID-19 patients. Materials and Methods: All research steps were taken according to the MOOSE protocol and the final report was based on PRISMA guidelines. Each stage of the study was conducted by two independent authors. We searched the Web of Science, Ovid, Science Direct, Scopus, EMBASE, PubMed/Medline, Cochrane Library, EBSCO, CINAHL and Google scholar databases. The search was conducted on March 20, 2020. Grey literature was searched at medrxiv website. All analyses were performed using Comprehensive Meta-Analysis. The adapted Newcastle Ottawa Scale was used to evaluate the risk of bias. We registered this review at PROSPERO (registration number: CRD42019127858). Results: Finally, 40 eligible studies with 4,183 patients with COVID-19 were used for meta-analysis. The rate of positive chest CT scan in patients with COVID-19 was 94.5% (95%CI: 91.7-96.3). Bilateral lung involvement, pure ground-glass opacity (GGO), mixed (GGO pulse consolidation or reticular), consolidation, reticular, and presence of nodule findings in chest CT scan of COVID-19 pneumonia HP pneumonia MESHD patients were respectively estimated to be 79.1% (95% CI: 70.8-85.5), 64.9% (95%CI: 54.1-74.4), 49.2% (95%CI: 35.7-62.8), 30.3% (95%CI: 19.6-43.6), 17.0% (95%CI: 3.9-50.9) and 16.6% (95%CI: 13.6-20.2). The distribution of lung lesions MESHD in patients with COVID-19 pneumonia HP pneumonia MESHD was peripheral (70.0% [95%CI: 57.8-79.9]), central (3.9% [95%CI: 1.4-10.6]), and peripheral and central (31.1% [95%CI: 19.5-45.8]). The most common pulmonary lobes involved were right lower lobe (86.5% [95%CI: 57.7-96.8]) and left lower lobe (81.0% [95%CI: 50.5-94.7]). Conclusion: Our study showed that chest CT scan has little weakness MESHD in diagnosis of COVID-19 combined to personal history, clinical symptoms, and initial laboratory findings, and may therefore serve as a standard method for diagnosis of COVID-19 based on its features and transformation rule, before initial RT-PCR screening.

    The 2019 novel coronavirus disease MESHD with secondary ischemic stroke HP ischemic stroke MESHD: two cases report

    Authors: Bin Fu; Yun Chen; Ping Li

    doi:10.21203/rs.3.rs-20943/v2 Date: 2020-04-02 Source: ResearchSquare

    Background: The 2019 novel coronavirus disease MESHD is an outbreak of respiratory illness MESHD first detected in Wuhan, China in the end of Dec, 2019. The older patients complicated with underlying diseases MESHD are reported more likely to have clinical symptoms. But its secondary lesion is rarely reported. Case presentation: We reported two cases of coronavirus infected pneumonia MESHD pneumonia HP with acute ischemic stroke MESHD ischemic stroke HP in patients at their middle- age TRANS. In both 2019 coronavirus diseases MESHD cases, neurological physical examination are normal before infection MESHD. Lymphocytopenia MESHD and high expression of cytokines and D-dimer were found from serum SERO clinical laboratory test at admission. The dysarthria HP dysarthria MESHD and limb muscle weakness HP muscle weakness MESHD are initial manifestations in one week after 2019 novel coronavirus infection MESHD. The head CT and head/neck arterial CTA showed small-vessel occlusion MESHD. The patients were diagnosed with coronavirus diseases MESHD with secondary acute ischemic stroke HP ischemic stroke MESHD. They were treated with tirofiban and followed up with daily aspirin and atorvastatin. Conclusion: The present cases suggested that secondary ischemic stroke HP ischemic stroke MESHD, which mainly manifested as small-vessel occlusion MESHD, should be considered for coronavirus disease MESHD patients with prompt diagnosis and treatment. 

    Clinical Characteristics of Two Human to Human Transmitted Coronaviruses: Corona Virus Disease MESHD 2019 versus Middle East Respiratory Syndrome MESHD Coronavirus.

    Authors: Ping Xu; Guo-Dong Sun; Zhi-Zhong Li

    doi:10.1101/2020.03.08.20032821 Date: 2020-03-10 Source: medRxiv

    After the outbreak of the middle east respiratory syndrome MESHD ( MERS MESHD) worldwide in 2012. Currently, a novel human coronavirus has caused a major disease outbreak, and named corona virus disease 2019 (COVID-19). The emergency of MRES-COV and COVID-19 has caused global panic and threatened health security. Unfortunately, the similarities and differences between the two coronavirus diseases MESHD remain to be unknown. The aim of this study, therefore, is to perform a systematic review to compare epidemiological, clinical and laboratory features of COVID-19 and MERS MESHD-COV population. We searched PubMed, EMBASE and Cochrane Register of Controlled Trials database to identify potential studies reported COVID-19 or MERS MESHD-COV. Epidemiological, clinical and laboratory outcomes, the admission rate of intensive cure unit (ICU), discharge rate and fatality rate were evaluated using GraphPad Prism software. Thirty-two studies involving 3770 patients (COVID-19 = 1062, MERS MESHD-COV = 2708) were included in this study. The present study revealed that compared with COVID-19 population, MERS MESHD-COV population had a higher rate of ICU admission, discharge and fatality and longer incubation time. It pointed out that fever HP fever MESHD, cough HP cough MESHD and generalised weakness MESHD and myalgia HP myalgia MESHD were main clinical manifestations of both COVID-19 and MERS MESHD-COV, whereas ARDS was main complication. The most effective drug for MERS MESHD-COV is ribavirin and interferon.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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