Corpus overview


Overview

MeSH Disease

Myalgia (44)

Fatigue (42)

Fever (38)

Coronavirus Infections (26)

Cough (21)


Human Phenotype

Cough (47)

Myalgia (47)

Fatigue (47)

Fever (41)

Headache (20)


Transmission

Seroprevalence
    displaying 1 - 10 records in total 47
    records per page




    Blood SERO neurofilament light concentration at admittance: a potential prognostic marker in COVID-19

    Authors: Anne Hege Aamodt; Einar August Høgestøl; Trine Haug Popperud; Jan Cato Holter; Anne Margarita Dyrhol-Riise; Kristian Tonby; Birgitte Stiksrud; Else Qvist-Paulsen; Tone Berge; Andreas Barratt-Due; Pål Aukrust; Lars Heggelund; Kaj Blennow; Henrik Zetterberg; Hanne Flinstad Harbo; Niclas Johansson; Max Bell; Karin Lore; Anna Farnert; Anna Smed-Sorensen

    doi:10.1101/2020.09.07.20189415 Date: 2020-09-09 Source: medRxiv

    Objective To test the hypotheses that serum SERO concentrations of neurofilament light chain protein (NfL) and glial fibrillary acidic protein (GFAp) can serve as biomarkers for disease severity in COVID-19 patients. Methods Forty-seven inpatients with confirmed COVID-19 had blood SERO samples drawn on admission for assessing serum SERO biomarkers of CNS injury by Single molecule array (Simoa), NfL and GFAp. Concentrations of NfL and GFAp were analyzed in relation to symptoms, clinical signs, inflammatory biomarkers and clinical outcomes. We used multivariate linear models to test for differences in biomarker concentrations in the subgroups, accounting for confounding effects. Results In total, 21 % (n=10) of the patients were admitted to an intensive care unit, whereas the overall mortality rate was 13 % (n=6). Non-survivors had higher serum SERO concentrations of NfL (p<0.001) than patients who were discharged alive both in adjusted analyses (p=2.6 x 10-7) and unadjusted analyses (p=0.001). The concentrations of NfL in non-survivors increased over repeated measurements whereas the concentrations in survivors were stable. Significantly higher concentrations of NfL were found in patients reporting fatigue HP fatigue MESHD, while reduced concentrations were found in patients experiencing cough HP, myalgia HP myalgia MESHD and joint pain MESHD pain HP. The GFAp concentration was also significantly higher in non-survivors than survivors (p=0.02). Conclusion Increased concentrations of NfL and GFAp in COVID-19 patients on admission may indicate increased mortality risk. Measurement of blood SERO biomarkers for nervous system injury MESHD can be useful to detect and monitor CNS injury MESHD in COVID-19.

    Older adults TRANS hospitalized with Covid-19: Clinical characteristics and early outcomes from a single center in Istanbul, Turkey 

    Authors: Alpay Medetalibeyoğlu; Naci Senkal; Murat Kose; Yunus Catma; Emine Bilge Caparali; Mustafa Erelel; Mustafa Oral Oncul; Gulistan Bahat; Tufan Tukek

    doi:10.21203/rs.3.rs-47728/v1 Date: 2020-07-22 Source: ResearchSquare

    Objective: Older adults TRANS have been continuously reported to be at higher risk for adverse outcomes of Covid-19. We aimed to describe clinical characteristics and early outcomes of the older Covid-19 patients hospitalized in our center comparatively with the younger patients, and also to analyze the triage factors that were related to the in-hospital mortality of older adults TRANS.Design: Retrospective; observational studySetting: Istanbul Faculty of Medicine hospital, TurkeyParticipants: 362 hospitalized patients with laboratory-confirmed Covid-19 from March 11 to May 11, 2020.Measurements: The demographic information; associated comorbidities; presenting clinical, laboratory, radiological characteristics on admission and outcomes from the electronic medical records were analyzed comparatively between the younger (<65 years) and older (≥65 years) adults TRANS. Factors associated with in-hospital mortality of the older adults TRANS were analyzed by multivariate regression analyses.Results: The median age TRANS was 56 years (interquartile range [IQR], 46-67), and 224 (61.9%) were male TRANS. There were 104 (28.7%) patients ≥65 years of age TRANS. More than half of the patients (58%) had one or more chronic comorbidity. The three most common presenting symptoms in the older patients were fatigue HP atigue/ MESHD myalgia HP yalgia MESHD(89.4%), d ry cough MESHD cough HP (72.1%), and fever HP ever MESHD(63.5%). Cough HP and fever HP ever MESHDwere significantly less prevalent in older adults TRANS compared to younger patients (p=0.001 and 0.008, respectively). Clinically severe pneumonia HP neumonia MESHDwas present in 31.5% of the study population being more common in older adults TRANS (49% vs. 24.4%) (p<0.001). The laboratory parameters that were significantly different between the older and younger adults TRANS were as follows: the older patients had significantly higher CRP, D-dimer, TnT, pro-BNP, procalcitonin levels, higher prevalence SERO of lymphopenia HP ymphopenia, MESHD neutrophilia HP, increased creatinine, and lower hemoglobin, ALT, albumin level (p<0.05). In the radiological evaluation, more than half of the patients (54.6%) had moderate-severe pneumonia HP neumonia, MESHD which was more prevalent in older patients (66% vs. 50%) (p=0.006). The adverse outcomes were significantly more prevalent in older adults TRANS compared to the younger patients (ICU admission, 28.8% vs. 8.9%; mortality, 23.1% vs. 4.3%, p<0.001).  Among the triage evaluation parameters, the only factor associated with higher mortality was the presence of clinically severe pneumonia HP neumonia MESHDon admission (Odds Ratio=12.3, 95% confidence interval=2.7-55.5, p=0.001).Conclusion: Older patients presented with more prevalent chronic comorbidities, less prevalent symptomatology but more severe respiratory signs and l aboratory abnormalities MESHDthan the younger patients. Among the triage assessment factors, the clinical evaluation of pulmonary involvement came in front to help clinicians to stratify the patients for mortality risk.

    Longitudinal symptom dynamics of COVID-19 infection MESHD in primary care

    Authors: Barak Mizrahi; Smadar Shilo; Hagai Rossman; Nir Kalkstein; Karni Marcus; Yael Barer; Ayya Keshet; Na'ama Shamir-Stein; Varda Shalev; Anat Ekka Zohar; Gabriel Chodick; Eran Segal

    doi:10.1101/2020.07.13.20151795 Date: 2020-07-14 Source: medRxiv

    Objective : Data regarding the clinical characteristics of COVID-19 infection MESHD is rapidly accumulating. However, most studies thus far are based on hospitalized patients and lack longitudinal follow up. As the majority of COVID-19 cases are not hospitalized, prospective studies of symptoms in the population presenting to primary care are needed. Here, we assess the longitudinal dynamic of clinical symptoms in non-hospitalized individuals prior to and throughout the diagnosis of SARS-CoV-2 infection MESHD. Design Data on symptoms were extracted from electronic health records (EHR) consisting of both results of PCR tests and symptoms recorded by primary care physicians, and linked longitudinal MESHD self reported symptoms. Setting The second largest Health Maintenance Organization in Israel , Maccabi Health Services Participants From 1/3/2020 to 07/06/2020, information on symptoms from either surveys or primary care visits was available for 206,377 individuals, including 2,471 who tested positive for COVID-19. Main Outcomes Longitudinal prevalence SERO of clinical symptoms in COVID-19 infection MESHD diagnosed by PCR testing for SARS-CoV-2 from nasopharyngeal swabs. Results: In adults TRANS, the most prevalent symptoms recorded in EHR were cough HP (11.6%), fever HP fever MESHD (10.3%), and myalgia HP myalgia MESHD (7.7%) and the most prevalent self-reported symptoms were cough HP (21%), fatigue HP fatigue MESHD (19%) and rhinorrhea HP rhinorrhea MESHD and/or nasal congestion (17%). In children TRANS, the most prevalent symptoms recorded in the EHR were fever HP fever MESHD (7%), cough HP cough MESHD (5.5%) and abdominal pain HP abdominal pain MESHD (2.4%) . Emotional disturbances were documented in 15.9% of the positive adults TRANS and 4.2% of the children TRANS. Loss of taste and smell, either self-reported or documented by a physician, 3 weeks prior to testing, were the most discriminative symptoms in adults TRANS (OR =11.18 and OR=5.47 respectively). Additional symptoms included self reported headache HP headache MESHD (OR = 2.03) and fatigue HP fatigue MESHD (OR = 1.73) and a documentation of syncope HP syncope MESHD, rhinorrhea HP rhinorrhea MESHD (OR = 2.09 for both ) and fever HP fever MESHD (OR= 1.62 ) by a physician. Mean time to recovery TRANS was 23.5 +- 9.9 days. Children TRANS had a significantly shorter disease duration (21.7 +- 8.8 days, p-value=0.01). Several symptoms, including fatigue HP fatigue MESHD, myalgia HP myalgia MESHD, runny nose and shortness of breath MESHD were reported weeks after recovery. Conclusions As the COVID-19 pandemic progresses rapidly worldwide, obtaining accurate information on symptoms and their progression is of essence. Our study shed light on the full clinical spectrum of symptoms experienced by infected individuals in primary care, and may alert physicians for the possibility of COVID-19 infection MESHD.

    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.  

    A primary care approach to the COVID-19 pandemic: clinical features and natural history of 2,073 suspected cases in the Corona Sao Caetano programme, Sao Paulo, Brazil

    Authors: Fabio E Leal; Maria C Mendes-Correa; Lewis F Buss; Silvia F Costa; Joao CS Bizario; Sonia RP Souza; Osorio Thomaz; Tania R Tozetto-Mendoza; Lucy S Villas-Boas; Lea CO Silva; Regina MZ Grespan; Ligia Capuani; Renata Buccheri; Helves Domingues; Neal DE Alexander; Philippe Mayaud; Ester C Sabino

    doi:10.1101/2020.06.23.20138081 Date: 2020-06-23 Source: medRxiv

    Background: Despite most cases not requiring hospital care, there are limited community-based clinical data on COVID-19. Methods and findings: The Corona Sao Caetano program is a primary care initiative offering COVID-19 care to all residents of Sao Caetano do Sul, Brazil. After triage of potentially severe cases, consecutive patients presenting between 13th April and 13th May 2020 were tested at home with SARS-CoV-2 reverse transcriptase (RT) PCR; positive patients were followed up for 14 days. RT-PCR-negative patients were offered SARS-CoV-2 serology. We describe the clinical features, virology and natural history of this prospective population-based cohort. Of 2,073 suspected COVID-19 cases, 1,583 (76.4%) were tested by RT-PCR, of whom 444 (28.0%, 95%CI: 25.9% - 30.3%) were positive; 604/1,136 (53%) RT-PCR-negative patients underwent serology, of whom 52 (8.6%) tested SARS-CoV-2 seropositive. The most common symptoms of COVID-19 were cough HP, fatigue HP fatigue MESHD, myalgia HP myalgia MESHD and headache HP headache MESHD; whereas self-reported fever HP fever MESHD, anosmia HP anosmia MESHD, and ageusia MESHD were most associated with a positive COVID-19 diagnosis. RT-PCR cycle thresholds were lower in men, older patients, those with fever HP fever MESHD and arthralgia HP arthralgia MESHD, and around symptom onset TRANS. The rates of hospitalization and death MESHD among 444 RT-PCR-positive cases were 6.7% and 0.7%, respectively, with older age TRANS and obesity HP obesity MESHD more frequent in the hospitalized group. Conclusions: COVID-19 presents similarly to other mild respiratory disease MESHD in primary care. Some symptoms assist the differential diagnosis. Most patients can be managed at home.

    Analysis of the Primary Presenting Symptoms and Hematological Findings of COVID-19 Patients in Bangladesh

    Authors: Abu Taiub Mohammed Mohiuddin Chowdhury; Md Rezaul Karim; H.M. Hamidullah Mehedi; Mohammad Shahbaz; Md Wazed Chowdhury; Guo Dan; Shuixiang He

    id:10.20944/preprints202006.0275.v1 Date: 2020-06-21 Source: Preprints.org

    Objective: SARS-Cov-2 infection MESHD or COVID-19 is a global pandemic. From the time of identification to till, multiple clinical symptoms and parameters have been identified by the researchers of various countries and regions regarding the diagnosis and presentations of COVID-19 disease. In this manuscript, we investigated the primary symptoms and basic hematological presentations of SARS-CoV-2 infection MESHD among the Bangladeshi patients. Methodology: We have collected the disease history of mild to moderate degree of COVID-19 patients; hematological MESHD and biochemical on admission reports of moderate degree COVID-19 patients. All of them were tested positive for SARS-CoV-2 by RT-PCR in different institutes in Bangladesh. Results: According to this study though COVID-19 patients in Bangladesh commonly presented with fever HP fever MESHD, cough HP cough MESHD, fatigue HP fatigue MESHD, shortness of breath MESHD, and sore throat, but symptoms like myalgia HP myalgia MESHD, diarrhea HP diarrhea MESHD, skin rash HP skin rash MESHD, headache HP headache MESHD, Abdominal pain HP Abdominal pain MESHD/cramp, nausea, vomiting HP nausea, vomiting MESHD vomiting MESHD, restlessness HP, and a higher temperature of >1000F have a greater presentation rate and more frequent than other published studies. CRP and Prothrombin time was found to increase in all the patients. Serum SERO ferritin, ESR, SGPT, and D-Dimer were found increased among 53.85%, 80.43, 44%, and 25% patients respectively. 17.39% of the patients had leukocytosis HP leukocytosis MESHD and neutrophilia HP. 28.26% of patients presented with lymphocytopenia MESHD. 62.52% of patients had mild erythrocytopenia. Conclusion: Despite some similarities, our study has evaluated a different expression in presenting symptoms in the case of COVID-19 patients in Bangladesh. CRP, Prothrombin time, serum SERO ferritin, ESR, SGPT, D-Dimer, erythrocytopenia, and lymphocytopenia MESHD can be initial diagnostic hematological findings and assessment for prognosis COVID-19 disease. Also, gender TRANS variations have a different scenario of clinical and laboratory appearance in this region.

    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.

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

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

    doi:10.21203/rs.3.rs-37127/v2 Date: 2020-06-20 Source: ResearchSquare

    Background: A novel form of coronavirus disease MESHD (SARS-CoV-2) has spread rapidly across the world. What risk factors influence the severity of the disease is of considerable importance.Aim: This research offers a systematic review and meta-analysis of the correlation between common clinical conditions and comorbidities and the severity of COVID-19.Methodology: Two independent researchers searched Europe PMC, Google Scholar, and PubMed databases for articles related to influence comorbidities have on the progress of the disease. A search engine was also created to screen a further 59,000 articles in COVID-19 Open Research Dataset (CORD-19). Random-effects modeling was used to pool 95% confidence intervals (CIs) and odds ratios (ORs). The significance of all comorbidities and clinical conditions to the severity of the disease was evaluated by employing machine-learning techniques. Publication bias was assessed by using funnel-plots and Egger’s test. Heterogeneity was tested using I2.Results: The meta-analysis incorporated 12 studies spanning 4,101 confirmed COVID-19 patients who were admitted to Chinese hospitals. The prevalence SERO of the most commonly associated co-morbidities and their corresponding odds ratio for disease severity were as follows: coronary heart disease MESHD (OR 2.97 [CI: 1.99-4.45], p < 0.0001), cancer MESHD (OR 2.65 [CI: 1.12-6.29], p < 0.03), cardiovascular disease MESHD (OR 2.89 [CI: 1.90-4.40], p < 0.0001), COPD MESHD (OR 3.24 [CI: 1.66-6.32], p = 0.0), and kidney disease MESHD (OR 2.2.4 [CI: 1.01-4.99], p = 0.05) with low or moderate level of heterogeneity. The most frequently exhibited clinical symptoms were fever HP fever MESHD (OR 1.37 [CI: 1.01-1.86], p = 0.04), myalgia HP myalgia MESHD/ fatigue HP fatigue MESHD (OR 1.31 [CI: 1.11-1.55], p = 0.0018), and dyspnea HP dyspnea MESHD (OR 3.61, [CI: 2.57-5.06], p = <0.0001). No significant associations between disease severity and liver disease MESHD, smoking habits, and other clinical conditions, such as a cough HP, respiratory/ARDS, diarrhea HP diarrhea MESHD or chest tightness HP chest tightness MESHD/ pain HP pain MESHD were found. The meta-analysis also revealed that the incubation period TRANS was positively associated with disease severity. Conclusion: Existing comorbidities, including COPD, cardiovascular disease MESHD, and coronary heart disease MESHD, increase the severity of COVID-19. Some studies found a statistically significant association between comorbidities such as diabetes MESHD and hypertension HP hypertension MESHD and disease severity. However, these studies may be biased due to substantial heterogeneity. 

The ZB MED preprint Viewer preVIEW includes all COVID-19 related preprints from medRxiv and bioRxiv, from ChemRxiv, from ResearchSquare, from arXiv and from Preprints.org and is updated on a daily basis (7am CET/CEST).
The web page can also be accessed via API.

Sources


Annotations

All
None
MeSH Disease
Human Phenotype
Transmission
Seroprevalence


Export subcorpus as...

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.