Corpus overview


Overview

MeSH Disease

Human Phenotype

Hypertension (25)

Fever (10)

Cough (10)

Fatigue (9)

Pneumonia (8)


Transmission

Seroprevalence
    displaying 1 - 10 records in total 43
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    Ontology-based annotation and analysis of COVID-19 phenotypes

    Authors: Yang Wang; Fengwei Zhang; Hong Yu; Xianwei Ye; Yongqun He

    id:2008.02241v1 Date: 2020-08-05 Source: arXiv

    The epidemic of COVID-19 has caused an unpredictable and devastated disaster to the public health in different territories around the world. Common phenotypes include fever MESHD fever HP, cough MESHD cough HP, shortness of breath, and chills MESHD chills HP. With more cases investigated, other clinical phenotypes are gradually recognized, for example, loss of smell, and loss of tastes. Compared with discharged or cured patients, severe or died patients often have one or more comorbidities, such as hypertension MESHD hypertension HP, diabetes, and cardiovascular disease MESHD. In this study, we systematically collected and analyzed COVID-19-related clinical phenotypes from 70 articles. The commonly occurring 17 phenotypes were classified into different groups based on the Human Phenotype Ontology (HPO). Based on the HP classification, we systematically analyze three nervous phenotypes (loss of smell, loss of taste, and headache MESHD headache HP) and four abdominal phenotypes ( nausea MESHD nausea, vomiting HP, vomiting MESHD, abdominal pain MESHD abdominal pain HP, and diarrhea MESHD diarrhea HP) identified in patients, and found that patients from Europe and USA turned to have higher nervous phenotypes and abdominal phenotypes than patients from Asia. A total of 23 comorbidities were found to commonly exist among COVID-19 patients. Patients with these comorbidities such as diabetes and kidney failure had worse outcomes compared with those without these comorbidities.

    A Network Pharmacology Study to Uncover the Multiple Molecular Mechanism of the Chinese Patent Medicine Toujiequwen Granules in the Treatment of Corona Virus Disease MESHD (COVID-19)

    Authors: Baoyu Yang; Haozhen Wang; Chen Lu; Zhenzhong Ma; Yang Li; Ziyin Lu; Xiuli Lu; Bing Gao

    doi:10.21203/rs.3.rs-44586/v1 Date: 2020-07-17 Source: ResearchSquare

    Since the outbreak of the novel Corona Virus Disease MESHD 2019 (COVID-19) infected by SARS-CoV-2 at the end of 2019, clinical specific antiviral drugs have been lacking. A Chinese patent medicine called ‘Toujiequwen Granules’ has been promoted in the treatment of COVID-19. The present study was designed to reveal the molecular mechanism of Toujiequwen Granules against COVID-19. A network pharmacological method was applied to screen the main active ingredients of Tongjiequwen Granules. Network analysis of 149 active ingredients and 330 drug targets showed the most active ingredients interacting with many drug targets are quercetin., drug targets most affected by the active ingredients are PTGS2, PTGS1, and DPP4. Drug target disease MESHD enrichment analysis showed drug targets are significantly enriched in cardiovascular diseases MESHD, digestive tract diseases MESHD and so forth. An ‘active ingredient-target-disease’ network showed that 57 active ingredients from Toujiequwen Granules, interact with 15 key targets of coronary pneumonia MESHD pneumonia HP. There are 53 ingredients that can act on DPP4, suggesting that DPP4 may become a potential new key target for the treatment of COVID-19. The GO analysis results showed that key targets were mainly enriched in the cellular response to lipopolysaccharide, cytokine activity and other functions. KEGG analysis showed they were mainly concentrated in viral protein interaction with cytokine and cytokine receptors endocrine resistance pathway, and others. These evidences suggest that Toujiequwen Granules might play an effective role through improving the symptoms of underlying diseases MESHD in patients with COVID-19 and multi-target interventions against multiple signaling pathways related to the pathogenesis of SARS-CoV-2.

    Identification of Risk Factors for in-hospital Death MESHD of COVID - 19 Pneumonia MESHD Pneumonia HP

    Authors: Zhigang Wang; Zhiqiang Wang

    doi:10.21203/rs.3.rs-42478/v1 Date: 2020-07-13 Source: ResearchSquare

    Objective: To examine the clinical characteristics and identify independent risk factors for in-hospital mortality of 2019 novel coronavirus (COVID-19) pneumonia MESHD pneumonia HP.Methods: A total of 156 patients diagnosed with COVID-19 pneumonia MESHD pneumonia HP at the central Hospital of Wuhan from January 29, 2020, to March 20, 2020 were enrolled in this single-centered retrospective study. Their epidemiological parameters, clinical presentations, underlying diseases MESHD, laboratory test results and disease MESHD outcomes were collected and analyzed. Results: The median age TRANS of enrolled patients was 66. Underlying diseases MESHD were identified in 101 patients, with hypertension MESHD hypertension HP being the most common one, followed by cardiovascular disease MESHD and diabetes. The most common symptoms identified upon admission were fever MESHD fever HP, cough MESHD cough HP, dyspnea MESHD dyspnea HP and fatigue MESHD fatigue HP. Compared to survival cases, patients who dead during hospitalization had higher plasma SERO levels of D-dimer, creatinine, creatine kinase, lactate dehydrogenase, lactate and lower percentage of lymphocytes (LYM [%]), platelet count and albumin levels. Most enrolled patients received anti-biotics and anti-viral treatment. In addition, 60 patients received corticosteroid and 51 received intravenous immunoglobulin infusion. 44 patients received noninvasive ventilation, 19 received invasive ventilation. Respiratory failure HP was the most frequently observed complication (106 [67.9%]), followed by sepsis MESHD sepsis HP (103 [66.0%]), acute respiratory distress HP syndrome MESHD (ARDS) (67 [42.9%]) and septic shock MESHD shock HP (50 [32.1%]). Multivariable regression suggested that advanced age TRANS (OR [odds ratio]= 1.059, 95% CI [confidence interval]: 1.011-1.110, P= 0.016) and elevated lactate level upon admission (OR= 2.411, 95% CI: 1.177-4.941, P= 0.016) were independent risk factors for in-hospital mortality for COVID-19 infection MESHD. Meanwhile, increased LYM (%) at admission (OR= 0.798, 95% CI: 0.728-0.876, P< 0.001) indicated a better prognosis. Conclusions: In this study, we discovered that age TRANS, LYM (%) and lactate level upon admission were independent factors that could influence in-hospital mortality rate.

    Risk factors associated with failure of high-flow nasal cannula oxygen therapy in patients with severe COVID-19 in Wuhan, China

    Authors: Xiao-huan Ma; Fang Yin; Jie Zhang; Meng-yun Peng; Hong Guan; Ping Gong

    doi:10.21203/rs.3.rs-41316/v1 Date: 2020-07-12 Source: ResearchSquare

    Methods: In this single-center, retrospective, observational study, we enrolled patients with confirmed severe COVID-19 admitted to Renmin Hospital of Wuhan university (Wuhan, China) from 1 February 2020 to 26 March 26 2020. Epidemiological, clinical, and laboratory data, and treatments and outcomes upon hospital admission, were obtained from electronic medical records. Sequential organ failure assessment (SOFA) scores were calculated.Results: Of 54 patients with severe COVID-19, HFNC was successful in 28 (51.9%) and unsuccessful in 26 (48.1%). HFNC failure was seen more commonly in patients aged TRANS ≥60 years and in men. In addition, compared with patients successfully treated with HFNC, patients with HFNC failure had the following characteristics: higher percentage of fatigue MESHD fatigue HP and anorexia MESHD anorexia HP as well as cardiovascular disease MESHD; increased time from onset to diagnosis and SOFA scores; elevated body temperature, respiratory rate, and heart rate; more complications including ARDS, septic shock MESHD shock HP, myocardial damage, and acute kidney injury MESHD acute kidney injury HP; increased neutrophil counts and prothrombin time; and decreased HP arterial partial pressure of oxygen/fraction of inspired oxygen (PaO2/FiO2) (all P < 0.05). However, binary logistic regression analysis showed that only male TRANS gender TRANS and PaO2/FiO2 were independent risk factors significantly associated with HFNC failure (both, P < 0.05). Conclusion: Patients with severe COVID-19 had a high HFNC treatment failure rate. Male TRANS gender TRANS and decreased PaO2/FiO2 were independent risk factors associated with HFNC failure in severe COVID-19 patients.

    COVID-19 Inmate Risk Appraisal (CIRA): Development and validation of a screening tool to assess COVID-19 vulnerability in prisons

    Authors: Leonel C. Gonçalves; Stéphanie Baggio; Michael Weber; Laurent Gétaz; Hans Wolff; Jay P. Singh; Andreas Naegeli; Astrid Rossegger; Jérôme Endrass

    doi:10.21203/rs.3.rs-40225/v1 Date: 2020-07-06 Source: ResearchSquare

    Objectives. To develop and validate a screening tool designed to identify detained people at increased risk for COVID-19 mortality, the COVID-19 Inmate Risk Appraisal (CIRA). Design. Cross-sectional study with a representative sample (development) and a case-control sample (validation).Setting. The two largest Swiss prisons.Participants. (1) Development sample: all male TRANS persons detained in Pöschwies, Zurich (n=365); (2) Validation sample: case-control sample of male TRANS persons detained in Champ-Dollon, Geneva (n=192, matching 1:3 for participants at risk for severe course of COVID-19 and participants without risk factors).Main outcome measures. The CIRA combined seven risk factors identified by the World Health Organization and the Swiss Federal Office of Public Health as prognosis of severe COVID-19 to derive an absolute risk increase in mortality rate: Age TRANS ≥60, cardiovascular disease MESHD, diabetes, hypertension MESHD hypertension HP, chronic respiratory disease MESHD, immunodeficiency HP, and cancer. Results. Based on the development sample, we proposed a three-level classification: average (<3.7), elevated (3.7-5.7), and high (>5.7) risk. In the validation sample, the CIRA identified all individuals considered vulnerable by national recommendations (having at least one risk factor). The category “elevated risk” maximized sensitivity SERO (1) and specificity (.97). The CIRA had even higher capacity in discriminating vulnerable individuals according to clinical evaluation (a four-level risk categorization based on a consensus of medical staff). The category “elevated risk” maximized sensitivity SERO and specificity (both 1). When considering the individuals classified as extremely high risk by medical staff, the category “high risk” had a high discriminatory capacity (sensitivity=.89, specificity=.97). Conclusions. The CIRA scores have a high discriminative ability and will be important in custodial settings to support decisions and prioritize actions using a standardized valid assessment method. However, as knowledge on risk factors for COVID-19 mortality is still limited, the CIRA should be considered preliminary. Underlying data will be updated regularly on the website www.prison-research.com, where the CIRA algorithm is freely available.

    Clinical, laboratory, and radiologic findings associated with mortality in COVID-19: A systematic review and meta-analysis

    Authors: Hoo Jung Rhim; Jin Hyun Park; Yuna Lee; Seung Chan Kwon; Min Gyu Yu; Hunju Lee; Solam Lee; Yeon-Soon Ahn

    doi:10.21203/rs.3.rs-39877/v1 Date: 2020-07-01 Source: ResearchSquare

    Although there has been a surge in reports on coronavirus disease MESHD 2019 (COVID-19), the clinical signs and findings associated with fatal outcomes have rarely been studied. This systematic review and meta-analysis aimed to investigate the clinical, laboratory, and radiologic features associated with mortality in COVID-19. A comprehensive search was performed using PubMed, Embase, Web of Science, and other databases including government sources, for articles and reports published until May 1, 2020. We extracted the number of events (mortality and non-mortality) from case series and case-control and cross-sectional studies. Hazard ratios (HR) of each finding were extracted from studies with time-to-outcome analysis. In total, 23 studies met the inclusion criteria. Of them, 18 studies were case-control, cross-sectional, and case series study. Whereas, only 5 studies included time-to-outcome analysis. Male TRANS sex, age TRANS over 80 years, dyspnea, cardiovascular disease MESHD disease, chronic kidney HP kidney disease MESHD, increased troponin I level, acute respiratory distress HP syndrome MESHD, acute kidney injury MESHD acute kidney injury HP, and need of invasive mechanical ventilation were significantly associated with mortality. The identification of patients at higher risk of mortality has an utmost importance to achieve better treatment outcomes. The findings from our study may aid the prioritization in times of severe shortages of medical resources. Further studies analyzing diverse demographic and geographic populations are needed to generalize the findings from this study. 

    High in-hospital mortality due to COVID-19 in a community hospital in Spain: a prospective observational study

    Authors: Joan Carles Trullàs; Eva Ruiz; Clara Weisweiler; Gemma Badosa; Alba Serra; Hugo Briceño; Sílvia Soler; Josep Bisbe

    doi:10.21203/rs.3.rs-39421/v1 Date: 2020-07-01 Source: ResearchSquare

    Background To describe the clinical characteristics and outcome of patients with COVID-19 in a community hospital in SpainMethods Prospective, single-centre case series of the first 100 consecutive hospitalized patients with COVID-19 at a community hospital in Spain, from March 16 to April 20, 2020. Demographics, comorbidities, clinical presentation, radiologic and laboratory findings, treatment and clinical outcome were collected.Results Of the 100 patients included in the study, the median age TRANS (IQR; range) was 75 years (20; 28–96) and 52% were men. The most common comorbidities were hypertension MESHD hypertension HP (63%), diabetes (22%) and cardiovascular diseases MESHD (28%). The most common symptoms were fever MESHD fever HP (80%), cough MESHD cough HP (69%), fatigue MESHD fatigue HP (59%) and dyspnea MESHD dyspnea HP (52%) and 64% had respiratory insufficiency MESHD respiratory insufficiency HP. Bilateral interstitial infiltrates (65/100, 65%) and bilateral vertical “B-kerley” lines (38/46, 82.6%) were the most common imaging manifestations in chest radiographs and lung ultrasound, respectively. All patients received supplementary oxygen, 69 (69%) received medical treatment (the most common regimen being hydroxychloroquine plus azithromycin in 66 patients) and 12% were treated with glucocorticoids. During hospitalization, 26 patients (26%) died, 10 (10%) were transferred to ICU and 64 (64%) were discharged at home. Mortality or ICU admission was more frequent in advanced age TRANS and with comorbidities.Conclusions This case series provides clinical characteristics and outcome of consecutively hospitalized patients with COVID-19 admitted to a community hospital in Spain. The majority were old patients, with comorbidities and in-hospital mortality was high (26%).

    Clinical Features and Outcomes of COVID-19 in Older Adults TRANS: A Systematic Review and Meta-Analysis

    Authors: Sunny Singhal; Pramod Kumar; Sumitabh Singh; Srishti Saha; Aparajit Ballav Dey

    doi:10.21203/rs.3.rs-38971/v1 Date: 2020-06-29 Source: ResearchSquare

    Background Few studies have focused on exploring the clinical characteristics and outcomes of COVID-19 in older patients. We conducted this systematic review and meta-analysis to have a better understanding of the clinical characteristics of older COVID-19 patients.Methods A systematic search of PubMed and Scopus was performed from December 2019 to May 3rd, 2020. Observational studies including older adults TRANS ( age TRANS ≥60 years) with COVID-19 infection MESHD and reporting clinical characteristics or outcome were included. Primary outcome was assessing weighted pooled prevalence SERO (WPP) of severity and outcomes. Secondary outcomes were clinical features including comorbidities and need of respiratory support.Result 46 studies with 13,624 older patients were included. Severe infection HP infection MESHD was seen in 51% (95% CI– 36-65%, I2- 95%) patients while 22% (95% CI– 16-28%, I2- 88%) were critically ill. Overall, 11% (95% CI– 5-21%, I2- 98%) patients died. The common comorbidities were hypertension MESHD hypertension HP (48%, 95% CI– 36-60% I2- 92%), diabetes mellitus MESHD diabetes mellitus HP (22%, 95% CI– 13-32%, I2- 86%) and cardiovascular disease MESHD (19%, 95% CI – 11-28%, I2- 85%). Common symptoms were fever MESHD fever HP (83%, 95% CI– 66-97%, I2-91%), cough MESHD cough HP (60%, 95% CI– 50-70%, I2- 71%) and dyspnoea (42%, 95% CI– 19-67%, I2- 94%). Overall, 84% (95% CI– 60-100%, I2- 81%) required oxygen support and 21% (95% CI– 0-49%, I2- 91%) required mechanical ventilation. Majority of studies had medium to high risk of bias and overall quality of evidence was low for all outcomes.Conclusion Approximately half of older patients with COVID-19 have severe infection HP infection MESHD, one in five are critically ill and one in ten die. More high quality evidence is needed to study outcomes in this vulnerable patient population and factors affecting these outcomes.

    Risk factors associated with failure of high-flow nasal cannula oxygen therapy in patients with severe COVID-19 in Wuhan, China

    Authors: Xiao-huan Ma; Fang Yin; Jie Zhang; Meng-yun Peng; Hong Guan; Ping Gong

    doi:10.21203/rs.3.rs-37538/v1 Date: 2020-06-22 Source: ResearchSquare

    Background Acute hypoxemic respiratory failure HP is prevalent in severe Coronavirus Disease MESHD 2019 (COVID-19). High-flow nasal canula (HFNC) is currently the most common ventilation strategy for COVID-19 patients with respiratory failure HP. This study is to analyze the risk factors associated with high-flow nasal canula (HFNC) oxygen therapy failure in patients with severe COVID-19.Methods: In this single-center, retrospective, observational study, we enrolled patients with confirmed severe COVID-19 admitted to Renmin Hospital of Wuhan university (Wuhan, China) from 1 February 2020 to 26 March 26 2020. Epidemiological, clinical, and laboratory data, and treatments and outcomes upon hospital admission, were obtained from electronic medical records. Sequential organ failure assessment (SOFA) scores were calculated.Results: Of 54 patients with severe COVID-19, HFNC was successful in 28 (51.9%) and unsuccessful in 26 (48.1%). HFNC failure was seen more commonly in patients aged TRANS ≥60 years and in men. In addition, compared with patients successfully treated with HFNC, patients with HFNC failure had the following characteristics: higher percentage of fatigue MESHD fatigue HP and anorexia MESHD anorexia HP as well as cardiovascular disease MESHD; increased time from onset to diagnosis and SOFA scores; elevated body temperature, respiratory rate, and heart rate; more complications including ARDS, septic shock MESHD shock HP, myocardial damage, and acute kidney injury MESHD acute kidney injury HP; increased neutrophil counts and prothrombin time; and decreased HP arterial partial pressure of oxygen/fraction of inspired oxygen (PaO2/FiO2) (all P < 0.05). However, binary logistic regression analysis showed that only male TRANS gender TRANS and PaO2/FiO2 were independent risk factors significantly associated with HFNC failure (both, P < 0.05). Conclusion: Patients with severe COVID-19 had a high HFNC treatment failure rate. Male TRANS gender TRANS and decreased PaO2/FiO2 were independent risk factors associated with HFNC failure in severe COVID-19 patients.

    The influence of comorbidity on the severity of COVID-19 disease MESHD: systematic review and analysis

    Authors: Nazar Zaki; Elfadil Abdalla Mohamed; Sahar Ibrahim; Gulfaraz Khan

    doi:10.21203/rs.3.rs-37127/v1 Date: 2020-06-20 Source: ResearchSquare

    Background: A novel form of coronavirus disease MESHD (SARS-CoV-2) has spread rapidly across the world. This disease MESHD, originating in Wuhan, China, has become a global pandemic. What risk factors influence the severity of the disease MESHD is of considerable importance.Aim: This research is intended to offer a systematic review/meta-analysis for assessing how common clinical conditions and comorbidities correlate with COVID-19.Methodology: Two independent researchers undertook searches using Europe PMC, Google Scholar, and PubMed. In addition, a search engine was created for screening another 59,000 articles in COVID-19 Open Research Dataset (CORD-19). Screening was undertaken for any article related to comorbidity and their influence on the progress of the disease MESHD. Random-effects modeling was used to pool 95% confidence intervals (CIs) and odds ratios (ORs). The significance of all comorbidities and clinical conditions in relation to the severity of the disease MESHD were evaluated by employing feature extraction methods and machine-learning. Publication bias was assessed by employing funnel plots, and heterogeneity was tested in relation to I2.Results: The meta-analysis incorporated 12 studies covering 4101 confirmed COVID-19 patients from Chinese hospitals. The findings demonstrate that the most common comorbidities with the disease MESHD were hypertension MESHD hypertension HP (22.07%, OR 2.43 [95% CI: 1.71-3.45], p <0.0001), diabetes (11.34%, OR 2.27, [95% CI: 1.46-3.53], p = 0.0003), cardiovascular disease MESHD (10.76%, OR 2.89 [95% CI: 1.90-4.40], p <0.0001), and COPD (2.53%, OR 3.24 [95% CI: 1.99-4.45], p< 0.0006). No significant associations were found for disease MESHD severity with the comorbidities of kidney disease MESHD, liver disease MESHD, or cancer.The most frequently exhibited clinical symptoms were fever MESHD fever HP (74.52%, OR 1.37, 95% CI: 1.01-1.86, p = 0.04), cough MESHD cough HP (62.15%, OR 1.25, 95% CI: 0.97-1.60, p = 0.0823), myalgia MESHD myalgia HP/ fatigue MESHD fatigue HP (38.77%, OR 1.31, 95% CI: 1.11-1.55, p = 0.0018), dyspnea MESHD dyspnea HP (33.9%, OR 3.61, 95% CI: 2.57-5.06, p = <0.0001), and respiratory failure HP/ARDS (20.6%, OR 11.46, 95% CI: 3.24-40.56, p = 0.0002). Meta-analysis also revealed that neither the duration of the incubation period TRANS nor current smoking status associated with disease MESHD severity.Conclusion: Existing comorbidities, including COPD, cardiovascular disease MESHD, coronary heart disease MESHD, diabetes, and hypertension MESHD hypertension HP represent a risk of increasing the severity of the disease MESHD in COVID-19 patients.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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