Corpus overview


Overview

MeSH Disease

Coronavirus Infections (47)

Myalgia (47)

Fever (38)

Fatigue (31)

Cough (18)


Human Phenotype

Myalgia (43)

Fever (39)

Fatigue (36)

Cough (35)

Headache (15)


Transmission

Seroprevalence
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    Safety and immunogenicity of the Ad26.COV2.S COVID-19 vaccine candidate: interim results of a phase 1/2a, double-blind, randomized, placebo-controlled trial

    Authors: Jerry Sadoff; Mathieu Le Gars; Georgi Shukarev; Dirk Heerwegh; Carla Truyers; Anna Marit de Groot; Jeroen Stoop; Sarah Tete; Wim Van Damme; Isabel Leroux-Roels; Pieter-Jan Berghmans; Murray Kimmel; Pierre Van Damme; Jan De Hoon; William Smith; Kathryn Stephenson; Dan Barouch; Stephen De Rosa; Kristen Cohen; Juliana McElrath; Emmanuel Cormier; Gert Scheper; Jenny Hendriks; Frank Struyf; Macaya Douoguih; Johan Van Hoof; Hanneke Schuitemaker

    doi:10.1101/2020.09.23.20199604 Date: 2020-09-25 Source: medRxiv

    BACKGROUND The ongoing coronavirus disease MESHD (COVID)-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2) might be controlled by an efficacious vaccine. Multiple vaccines are in development, but no efficacious vaccine is currently available. METHODS We designed a multi-center phase 1/2a randomized, double-blinded, placebo-controlled clinical study to assesses the safety, reactogenicity and immunogenicity of Ad26.COV2.S MESHD, a non-replicating adenovirus 26 based vector expressing the stabilized pre-fusion spike (S) protein of SARS-CoV-2. Ad26.COV2.S was administered at a dose level of 5x1010 or 1x1011 viral particles (vp) per vaccination, either as a single dose or as a two-dose schedule spaced by 56 days in healthy adults TRANS (18-55 years old; cohort 1a & 1b; n= 402 and healthy elderly TRANS >65 years old; cohort 3; n=394). Vaccine elicited S specific antibody SERO levels were measured by ELISA SERO and neutralizing titers were measured in a wild-type virus neutralization assay (wtVNA). CD4+ T-helper (Th)1 and Th2, and CD8+ immune responses were assessed by intracellular cytokine staining (ICS). RESULTS We here report interim analyses after the first dose of blinded safety data from cohorts 1a, 1b and 3 and group unblinded immunogenicity data from cohort 1a and 3. In cohorts 1 and 3 solicited local adverse events were observed in 58% and 27% of participants, respectively. Solicited systemic adverse events were reported in 64% and 36% of participants, respectively. Fevers HP occurred in both cohorts 1 and 3 in 19% (5% grade 3) and 4% (0% grade 3), respectively, were mostly mild or moderate, and resolved within 1 to 2 days after vaccination. The most frequent local adverse event (AE) was injection site pain HP pain MESHD and the most frequent solicited AEs were fatigue HP fatigue MESHD, headache HP headache MESHD and myalgia HP myalgia MESHD. After only a single dose, seroconversion rate in wtVNA (50% inhibitory concentration - IC50) at day 29 after immunization in cohort 1a already reached 92% with GMTs of 214 (95% CI: 177; 259) and 92% with GMTs of 243 (95% CI: 200; 295) for the 5x1010 and 1x1011vp dose levels, respectively. A similar immunogenicity profile was observed in the first 15 participants in cohort 3, where 100% seroconversion (6/6) (GMTs of 196 [95%CI: 69; 560]) and 83% seroconversion (5/6) (GMTs of 127 [95% CI: <58; 327]) were observed for the 5x1010 or 1x1011 vp dose level, respectively. Seroconversion for S antibodies SERO as measured by ELISA SERO ( ELISA SERO Units/mL) was observed in 99% of cohort 1a participants (GMTs of 528 [95% CI: 442; 630) and 695 (95% CI: 596; 810]), for the 5x1010 or 1x1011 vp dose level, respectively, and in 100% (6/6 for both dose levels) of cohort 3 with GMTs of 507 (95% CI: 181; 1418) and 248 (95% CI: 122; 506), respectively. On day 14 post immunization, Th1 cytokine producing S-specific CD4+ T cell responses were measured in 80% and 83% of a subset of participants in cohort 1a and 3, respectively, with no or very low Th2 responses, indicative of a Th1-skewed phenotype in both cohorts. CD8+ T cell responses were also robust in both cohort 1a and 3, for both dose levels. CONCLUSIONS The safety profile and immunogenicity after only a single dose are supportive for further clinical development of Ad26.COV2.S at a dose level of 5x1010 vp, as a potentially protective vaccine against COVID-19. Trial registration number: NCT04436276

    Clinical Characteristics, Comorbidities, Initial Management and Outcome of COVID-19 Infected Patients Admitted to Intensive Care Unit in Somalia: A National Retrospective Study.

    Authors: Mohamed Farah Yusuf Mohamud; Abdullahi Said Hashi; Abdikarim Hussein Mohamed; Ali Mohamed Yusuf; Ibrahim Hussein Ali; Mohamed Abdi Ahmed

    doi:10.21203/rs.3.rs-66767/v1 Date: 2020-08-27 Source: ResearchSquare

    Purpose: To investigate the clinical characteristics, morbidities, management, and outcomes of COVID-19 Infected patients admitted to the intensive care unit (ICU) in Somalia.Material MESHD and methods: We conducted a retrospective observational study of laboratory 60 confirmed patients with severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2) admitted to an ICU from March 28, to May 28, 2020.The sociodemographic characteristics, comorbidities, exposure history, clinical manifestations (symptoms and signs), laboratory findings, treatment, and outcomes were collected from medical records.Results: Most of the patients admitted to ICU were men over 59 years of age TRANS, and nearly half had diabetes MESHD followed by hypertension HP hypertension MESHD chronic kidney disease HP and asthma HP asthma MESHD. The most clinical presentations were dyspnea HP dyspnea MESHD (91.2%), Fever HP Fever MESHD (81.1%), (68.75%), Fatigue HP and myalgia HP myalgia MESHD (25%), and Altered level of conscious (16.6%). Among 48 patients admitted to the ICU, about 24 (50%) patients had required endotracheal intubation and mechanical ventilation, and 11(29.9%) patients needed noninvasive ventilation, while 13(27.08%) patients treated with high-flow oxygen therapy >15 L/min (Table 3). Corticosteroids were administered to most patients (85.4%), while 77.1% of the patients received inhaled bronchodilators and morethan half of the patients administered antibiotics. 58.3% of the patients had received Oseltamivir, while 22.9% received Vasopressors.Conclusion This study represents the first description of critically ill MESHD patients infected with SARS-CoV-2 admitted to ICU in Somalia. The study identified that elder age TRANS, male TRANS gender TRANS, and diabetic MESHD and hypertensive MESHD comorbidities as independent risk factors of poor outcomes for patients admitted to the ICU (p<0.005).

    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 characteristics and outcome of influenza virus infection MESHD among adults TRANS hospitalized with severe COVID-19: A retrospective cohort study from Wuhan, China

    Authors: Xunliang Tong; Xiaomao Xu; Guoyue Lv; He Wang; Anqi Cheng; Dingyi Wang; Yue Zhang; Yanming Li

    doi:10.21203/rs.3.rs-50577/v1 Date: 2020-07-29 Source: ResearchSquare

    Background Coronavirus disease MESHD 2019 (COVID-19) is an emerging infection disease MESHD that rapidly spreads worldwide. Co-infection MESHD may occur in some cases of COVID-19, like influenza virus and so on. Clinical features and outcomes of severe COVID-19 patients with co-infection MESHD of influenza virus need to be noticed.Methods Retrospective cohort study was performed and total of 140 patients with severe COVID-19 was enrolled in designated wards of Sino-French New City Branch of Tongji Hospital between Feb 8th and March 15th in Wuhan, Hubei province, China. The demographic, clinical features, laboratory indices, treatment and outcomes of these patients were collected and analyzed.Results Of 140 severe COVID-19 hospitalized patients, 73 patients were with median age TRANS of 66 years old with identification of influenza virus IgM-positive and 67 patients were with median age TRANS of 62 years old in influenza virus IgM-negative. Nearly half of severe COVID-19 patients in this research are male TRANS. Majority of the severe COVID-19 patients had chronic underlying conditions. Wheeze HP was the clinical feature of severe COVID-19 patients with influenza IgM-positive (26.4% vs 9.0%, P = 0.008). On contrary, fatigue HP fatigue MESHD or myalgia HP myalgia MESHD was the feature of the COVID-19 patients without IgM-positive (38.4% vs 58.2%, P = 0.019). Increased levels of ferritin and prolonging APTT were showed in severe COVID-19 patients without influenza IgM-positive compared with patients in other group with significant differences. Death rate in the group of severe COVID-19 patients with influenza IgM-positive is lower than it in other group with significant differences (4.1% vs 14.9%, P = 0.040). In univariate regression analysis, several factors were associated with higher risk of death MESHD, which included LDH, troponin, NT-proBNP, D-dimer, PT, APTT, lymphocytes, platelet and eGFR. However, influenza virus IgM positive was associated with lower risk of death.Conclusions Characteristic features of patients with severe COVID-19 with influenza virus IgM-positive were described. Co-infection MESHD may occur during the pandemic of COVID-19, and we need to improve our understanding in order to confront this crisis in the future.

    COVID-19 Detection on Chest X-Ray and CT Scan Images Using Multi-image Augmented Deep Learning MESHD Model

    Authors: Kiran Purohit; Abhishek Kesarwani; Dakshina Ranjan Kisku; Mamata Dalui

    doi:10.1101/2020.07.15.205567 Date: 2020-07-17 Source: bioRxiv

    COVID-19 is posed as very infectious and deadly pneumonia type disease MESHD pneumonia HP type disease until recent time. Novel coronavirus or SARS-COV-2 strain is responsible for COVID-19 and it has already shown the deadly nature of respiratory disease MESHD by threatening the health of millions of lives across the globe. Clinical study reveals that a COVID-19 infected person may experience dry cough MESHD cough HP, muscle pain MESHD pain HP, headache HP headache MESHD, fever HP fever MESHD, sore throat and mild to moderate respiratory illness MESHD. At the same time, it affects the lungs badly with virus infection MESHD. So, the lung can be a prominent internal organ to diagnose the gravity of COVID-19 infection using X-Ray and CT scan images of chest. Despite having lengthy testing time, RT-PCR is a proven testing methodology to detect coronavirus infection MESHD. Sometimes, it might give more false positive and false negative results than the desired rates. Therefore, to assist the traditional RT-PCR methodology for accurate clinical diagnosis, COVID-19 screening can be adopted with X-Ray and CT scan images of lung of an individual. This image based diagnosis will bring radical change in detecting coronavirus infection MESHD in human body with ease and having zero or near to zero false positives and false negatives rates. This paper reports a convolutional neural network (CNN) based multi-image augmentation technique for detecting COVID-19 in chest X-Ray and chest CT scan images of coronavirus suspected individuals. Multi-image augmentation makes use of discontinuity information obtained in the filtered images for increasing the number of effective examples for training the CNN model. With this approach, the proposed model exhibits higher classification accuracy around 95.38% and 98.97% for CT scan and X-Ray images respectively. CT scan images with multi-image augmentation achieves sensitivity SERO of 94.78% and specificity of 95.98%, whereas X-Ray images with multi-image augmentation achieves sensitivity SERO of 99.07% and specificity of 98.88%. Evaluation has been done on publicly available databases containing both chest X-Ray and CT scan images and the experimental results are also compared with ResNet-50 and VGG-16 models.

    Neurological Manifestations and Complications of Coronavirus Disease MESHD 2019 (COVID-19): A Systematic Review and Meta-Analysis 

    Authors: Ahmed Yassin; Mohammed Nawaiseh; Ala' Shaban; Khalid Alsherbini; Khalid El-Salem; Ola Soudah; Mohammad Abu-Rub

    doi:10.21203/rs.3.rs-39952/v1 Date: 2020-07-02 Source: ResearchSquare

    Background: The spectrum of neurological involvement in COVID-19 is not thoroughly understood. To the best of our knowledge, no systematic review with meta-analysis and a sub-group comparison between severe and non-severe cases has been published. The aim of this study is to assess the frequency of neurological manifestations and complications, identify the neurodiagnostic findings, and compare these aspects between severe and non-severe COVID-19 cases.Methods: A systematic search of PubMed, Scopus, EBSCO, Web of Science, and Google Scholar databases was conducted for studies published between the 1st of January 2020 and 22nd of April 2020. In addition, we scanned the bibliography of included studies to identify other potentially eligible studies. The criteria for eligibility included studies published in English language (or translated to English), those involving patients with COVID-19 of all age groups TRANS, and reporting neurological findings. Data were extracted from eligible studies. Meta-analyses were conducted using comprehensive meta-analysis software. Random-effects model was used to calculate the pooled percentages and means with their 95% confidence intervals (CIs). Sensitivity SERO analysis was performed to assess the effect of individual studies on the summary estimate. A subgroup analysis was conducted according to severity. The main outcomes of the study were to identify the frequency and nature of neurological manifestations and complications, and the neuro-diagnostic findings in COVID-19 patients.Results: 44 articles were included with a pooled sample size of 13480 patients. The mean age TRANS was 50.3 years and 53% were males TRANS. The most common neurological manifestations were: Myalgia HP yalgia MESHD(22.2%, 95% CI, 17.2% to 28.1%), t aste impairment MESHD(19.6%, 95% CI, 3.8% to 60.1%), smell impairment (18.3%, 95% CI, 15.4% to 76.2%), headache HP eadache MESHD(12.1%, 95% CI, 9.1% to 15.8%), d izziness MESHD(11.3%, 95% CI, 8.5% to 15.0%), and encephalopathy HP ncephalopathy MESHD(9.4%, 95% CI, 2.8% to 26.6%). Nearly 2.5% (95% CI, 1% to 6.1%) of patients had a cute cerebrovascular diseases MESHD(C VD) MESHD. Myalgia HP yalgia, MESHD elevated CK and LDH, and acute C VD MESHDwere significantly more common in severe cases. Moreover, 20 case reports were assessed qualitatively, and their data presented separately.Conclusions: Neurological involvement is common in COVID-19 patients. Early recognition and vigilance of such involvement might impact their overall outcomes.

    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 influence of comorbidity on the severity of COVID-19 disease: 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, originating in Wuhan, China, has become a global pandemic. What risk factors influence the severity of the disease 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. 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 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 were hypertension HP hypertension MESHD (22.07%, OR 2.43 [95% CI: 1.71-3.45], p <0.0001), diabetes MESHD (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 severity with the comorbidities of kidney disease MESHD, liver disease MESHD, or cancer MESHD.The most frequently exhibited clinical symptoms were fever HP fever MESHD (74.52%, OR 1.37, 95% CI: 1.01-1.86, p = 0.04), cough HP (62.15%, OR 1.25, 95% CI: 0.97-1.60, p = 0.0823), myalgia HP myalgia MESHD/ fatigue HP fatigue MESHD (38.77%, OR 1.31, 95% CI: 1.11-1.55, p = 0.0018), dyspnea HP dyspnea MESHD (33.9%, OR 3.61, 95% CI: 2.57-5.06, p = <0.0001), and respiratory failure HP respiratory failure MESHD/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 severity.Conclusion: Existing comorbidities, including COPD, cardiovascular disease MESHD, coronary heart disease MESHD, diabetes MESHD, and hypertension HP hypertension MESHD represent a risk of increasing the severity of the disease in COVID-19 patients.

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

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

    doi:10.1101/2020.06.18.20134478 Date: 2020-06-20 Source: medRxiv

    A novel form of coronavirus disease MESHD (SARS-CoV-2) has spread rapidly across the world. This disease, originating in Wuhan, China, has become a global pandemic. What risk factors influence the severity of the disease is of considerable importance. This research is intended to offer a systematic review/meta-analysis for assessing how common clinical conditions and comorbidities correlate with COVID-19. The meta-analysis incorporated seven studies covering 4101 COVID-19 patients from Chinese hospitals who had their diagnosis confirmed through laboratory testing. The findings demonstrate that the most common comorbidities with the disease were COPD MESHD (2.53%, OR 3.24 [95% CI: 1.99-4.45], p< 0.0006), cardiovascular disease MESHD (10.76%, OR 2.89 [95% CI: 1.90-4.40], p <0.0001), coronary heart disease MESHD (5.52%, OR 2.97 [95% CI: 1.99-4.45], p <0.0001), diabetes MESHD (11.34%, OR 2.27, [95% CI: 1.46-3.53], p = 0.0003), and hypertension HP hypertension MESHD (22.07%, OR 2.43 [95% CI: 1.71-3.45], p <0.0001). No significant associations were found for disease severity with the comorbidities of kidney disease MESHD, liver disease MESHD, or cancer MESHD. The most frequently exhibited clinical symptoms were fever HP fever MESHD (74.52%, OR 1.37, 95% CI: 1.01-1.86, p = 0.04), cough HP (62.15%, OR 1.25, 95% CI: 0.97-1.60, p = 0.0823), myalgia HP myalgia MESHD/ fatigue HP fatigue MESHD (38.77%, OR 1.31, 95% CI: 1.11-1.55, p = 0.0018), dyspnea HP dyspnea MESHD (33.9%, OR 3.61, 95% CI: 2.57-5.06, p = <0.0001), respiratory failure HP respiratory failure MESHD/ARDS (20.6%, OR 11.46, 95% CI: 3.24-40.56, p = 0.0002), diarrhea HP diarrhea MESHD (11.21%) and chest tightness HP chest tightness MESHD/ pain HP (16.82%, OR 2.17, 95% CI: 1.40-3.36, p = 0.0006). Meta-analysis also revealed that neither the duration of the incubation period TRANS nor current smoking status associated with disease severity.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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