Corpus overview


Overview

MeSH Disease

Human Phenotype

Transmission

Seroprevalence
    displaying 1 - 10 records in total 25
    records per page




    Children TRANS's Anxiety HP and Physical Activity during COVID-19 in Relation to Prenatal Exposure to Gestational Diabetes MESHD

    Authors: Jasmin Alves; Alexandra G Yunker; Alexis DeFendis; Anny H Xiang; Kathleen A Page

    doi:10.1101/2020.08.06.20169565 Date: 2020-08-07 Source: medRxiv

    Research goal: Assess the relationships between anxiety HP levels, physical activity and in utero exposure to Gestational Diabetes MESHD Diabetes mellitus HP (GDM) in children TRANS age TRANS 9 to 15, during the COVID-19 pandemic. Methods: During the COVID-19 pandemic, participants completed phone call or video calls with study personnel where they were asked to report on their physical activity and anxiety HP levels using the 24-hour physical activity recall SERO and the State-Trait Anxiety HP Inventory for Children TRANS. GDM-exposure was assessed using electronic medical records. Results: Children TRANS who reported higher levels of moderate to vigorous physical activity or vigorous physical activity, reported lower anxiety HP symptoms. Children TRANS exposed to GDM in utero reported higher anxiety HP scores and lower engagement in vigorous physical activity compared to unexposed children TRANS. Moreover, the pathway through which children TRANS exposed to GDM in utero, reported higher anxiety HP was partially explained by reduced engagement in vigorous physical activity (75%, p=0.05). Conclusions: Engaging in physical activity during the COVID-19 pandemic may be beneficial for reducing anxiety HP, particularly among children TRANS exposed to GDM in utero, who are at increased risk for adverse psychological outcomes.

    Immune interaction map of human SARS-CoV-2 target proteins: implications for therapeutic avenues

    Authors: Karthikeyan Subbarayan; Kamatchi Ulagappan; Claudia Wickenhauser; Barbara Seliger

    doi:10.21203/rs.3.rs-54541/v1 Date: 2020-08-06 Source: ResearchSquare

    Background There exists increasing evidence that people with preceding medical conditions, such as asthma MESHD asthma HP, diabetes, cancers and heart disease MESHD, have a higher risk of infection TRANS risk of infection TRANS infection MESHD with SARS-CoV-2 and are more vulnerable to severe disease MESHD.Methods To get insights into the role of the immune system upon COVID-19 infection MESHD, 2811 genes of the gene ontology term “immune system process GO: 0002376” were selected for analyses. The immune system genes potentially co-expressed with the human targets of SARS-CoV-2 (HT-SARS-CoV-2) ACE2, TMPRSS2 and FURIN were determined in tissue samples from patients with cancer and diabetes mellitus MESHD diabetes mellitus HP. The network between HT-SARS-CoV-2 and immune system process genes was analyzed based on functional protein associations using STRING. In addition, STITCH was employed to determine druggable targets.Results DPP4 was the only immune system process gene, which was coexpressed with the three HT-SARS-CoV-2 genes, while eight other immune genes were at least co-expressed with two HT-SARS-CoV-2 genes. STRING analysis between immune and HT-SARS-CoV-2 genes plotted 19 associations of 8 commonly networking genes in mixed healthy (323) and cancer (11003) tissues in addition to normal (87), cancer (90) and diabetic (128) pancreatic tissues. Using this approach, three druggable connections between HT-SARS-CoV-2 and immune system process genes were identified. They include positive associations of ACE2 - DPP4 and TMPRSS2 – SRC as well as a negative association of FURIN with ADAM17. Furthermore, the 16 drugs were extracted from STITCH (score <0.8) with 32 target genes.Conclusions This bioinformatics pipeline identified for the first time an immunological network associated with COVID-19 infection MESHD thereby postulating novel therapeutic opportunities.

    Impact of comorbidity burden on mortality in patients with COVID-19: a retrospective analysis of the Korean health insurance database

    Authors: Soo Ick Cho; Susie Yoon; Ho-Jin Lee

    doi:10.21203/rs.3.rs-54298/v1 Date: 2020-08-05 Source: ResearchSquare

    We aimed to investigate the impact of comorbidity burden on mortality in patients with COVID-19. We analyzed the COVID-19 data from the nationwide health insurance claims of South Korea. Data on demographic characteristics, comorbidities, and mortality records of patients with COVID-19 were extracted from the database. The odds ratios of mortality according to comorbidities in patients with COVID-19 with and without adjustment for age TRANS and sex were calculated. The predictive value of the original Charlson comorbidity index (CCI) and the age TRANS-adjusted CCI (ACCI) for mortality in patients with COVID-19 were investigated using the receiver operating characteristic (ROC) curve analysis. Among 7,590 patients with COVID-19, 227 (3.0%) had died. After age TRANS and sex adjustment, hypertension MESHD hypertension HP, diabetes mellitus MESHD diabetes mellitus HP, congestive heart failure HP heart failure MESHD, dementia MESHD dementia HP, chronic pulmonary disease, liver MESHD, renal, and cancer were significant risk factors for mortality. The ROC curve analysis showed that ACCI threshold ≥4 yielded the best cut-off point for predicting mortality (area under the ROC 0.92; 95% CI, 0.91–0.94). Our study revealed multiple risk factors that were associated with mortality in patients with COVID-19. The high predictive power of the ACCI for mortality in our results could support the importance of old age TRANS and comorbidities in the severity of COVID-19.

    Development a quantitative segmentation model to assess the effect of comorbidity on patients with COVID-19

    Authors: Cui Zhang; Guangzhao Yang; Chunxian Cai; Zhihua Xu; Hai Wu; Youmin Guo; Zongyu Xie; Hengfeng Shi; Guohua Cheng; Jian Wang

    doi:10.21203/rs.3.rs-52343/v1 Date: 2020-08-01 Source: ResearchSquare

    Background: The coronavirus disease MESHD 2019 (COVID-19) has brought a global disaster. Quantitative lesions may provide the radiological evidence of the severity of pneumonia MESHD pneumonia HP and further to assess the effect of comorbidity on patients with COVID-19.Methods: 294 patients with COVID-19 were enrolled from February, 24, 2020 to June, 1, 2020 from six centers. Multi-task Unet network was used to segment the whole lung and lesions from chest CT images. This deep learning method was pre-trained in 650 CT images (550 in primary dataset and 100 in test dataset) with COVID-19 or community acquired pneumonia MESHD pneumonia HP and Dice coefficients in test dataset were calculated. 50 CT scans of 50 patients (15 with comorbidity and 35 without comorbidity) were random selected to mark lesions manually. The results will be compared with the automatic segmentation model. Eight quantitative parameters were calculated based on the segmentation results to evaluate the effect of comorbidity on patients with COVID-19.Results: Quantitative segmentation model was proved to be effective and accurate with all Dice coefficients more than 0.85 and all accuracies more than 0.95. Of the 294 patients, 52 (17.7%) patients were reported having at least one comorbidity, 14 (4.8%) having more than one comorbidity. Patients with any comorbidity were older (P<0.001), had longer incubation period TRANS (P<0.001), were more likely to have abnormal laboratory findings (P<0.05) and be in severity status (P<0.001). More lesions (including larger volume of lesion, consolidation and ground-glass opacity) were shown in patients with any comorbidity than patients without comorbidity (all P<0.001). The more comorbidities patients have, the poorer CT manifestation is. The median volume of lesion, consolidation and ground-glass opacity in diabetes mellitus MESHD diabetes mellitus HP group was largest among the three prevalently single comorbidity groups.Conclusions: Multi-task Unet network can make quantitative CT analysis of lesions to assess the effect of comorbidity on patients with COVID-19, further to provide the radiological evidence of the severity of pneumonia MESHD pneumonia HP. More lesions were found in CT images of cases with comorbidity. The more comorbidities patients have, the poorer CT manifestation is. 

    COVID-19 and Guillain-Barre Syndrome MESHD - a Case report

    Authors: Amira Sidig; Khabab Abbasher; Mutaz F. Digna; Mohamed Elsayed; Hussien Abbasher; Mohammed Abbasher; Abbasher Hussien

    doi:10.21203/rs.3.rs-48327/v1 Date: 2020-07-24 Source: ResearchSquare

    Coronaviruses are a family of related viruses that cause diseases MESHD in mammals and avians. Guillain-Barre syndrome MESHD is a rare disorder in which the body's immune system attacks peripheral nerves.The case:A 65 years old Sudanese male TRANS with no diabetes mellitus MESHD diabetes mellitus HP or hypertension MESHD hypertension HP present to the clinic; On examination, he has upper and lower limb weakness ( quadriplegia MESHD). The condition was preceded by upper respiratory tract infection MESHD respiratory tract infection HP. Chest X-ray showed features of pneumonia MESHD pneumonia HP Chest CT scan showed multiple bilateral ground-glass opacities and consolidation typical of COVID-19 pneumonia MESHD pneumonia HP. Brain MRI was normal. The COVID-19 nasal swab test was positive. Nerve conduction study showed evidence of polyradiculopathies MESHD with dominant demyelination supporting the diagnosis of Guillain-Barre syndrome MESHD. The patients died after seven days; because of progressive respiratory failure HP.

    Awareness of Coronavirus Disease MESHD From Conception to Delivery: Antenatal Mental Journey Breaking Anxiety HP During Outbreak

    Authors: Rabia Merve Erbiyik Palalioglu; Ozan Karadeniz; Gokce Ipek Aytok; Batuhan Palalioglu; Gizem Nur Koyan; Halil Ibrahim Erbiyik; Murat Muhcu

    doi:10.21203/rs.3.rs-48034/v1 Date: 2020-07-23 Source: ResearchSquare

    Purpose The objective of this study was to evaluate the psychological impact of the coronavirus disease MESHD on women sensitized by pregnancy after the first case was confirmed TRANS in Turkey, which has been declared a pandemic by the World Health Organization. This study also intends to help developing preventive measures for pregnants, reducing infection MESHD incidence, developing solutions to protect public health, and establishing whether pregnants have sufficient knowledge and awareness to manage this situation.Methods This prospective study was conducted at two centers. A total of 529 pregnant women from all three trimesters were given questionnaires that consisted of 51 original questions.Results The period when anxiety HP was highest was the 2nd trimester, whereas women in the 1st trimester had the lowest level of anxiety HP. High levels of awareness were observed in patients with heart disease MESHD, but patients with diabetes mellitus MESHD diabetes mellitus HP had a high level of anxiety HP. There was a statistically significant correlation between anxiety HP and awareness scores of the coronavirus disease MESHD.Conclusion The treatment and the long-term effects of the coronavirus disease MESHD remain unknown. It is important to maintain the mental and physical health of pregnants, who are in a more delicate condition in the society.

    Effect of sex on clinical outcomes in COVID-19 patients: a population-based study

    Authors: Seok Hui Kang; Sang Won Kim; Jong Won Park; Jun Young Do; Kyu Hyang Cho

    doi:10.21203/rs.3.rs-44101/v1 Date: 2020-07-16 Source: ResearchSquare

    Background Previous studies have reported the association between sex and clinical outcomes; however, the most relevant results were obtained as part of analyses evaluating other prognostic factors. This study aimed to evaluate the association between sex and clinical outcomes in patinets with COVID-19 using a population-based dataset.Methods This retrospective study utilized claims data from the Health Insurance Review & Assessment Service of Korea. Confirmed patients were included among all participants who underwent COVID-19 testing. Diseases MESHD including COVID-19 were defined using International Classification of Diseases MESHD, 10th revision (ICD-10). During follow-up, clinical outcomes except death MESHD were defined using Electronic Data Interchange or ICD-10 codes from the dataset.Results A total of 234,427 patients underwent laboratory testing for COVID-19. Finally, 7327 patients were included; of these, 2964 were men and 4363 were women. The proportions of patients with diabetes mellitus MESHD diabetes mellitus HP or hypertension MESHD hypertension HP as major comorbidities were higher among men than among women of the some age groups TRANS, but there were no significant differences in the Charlson comorbidity index score between men and women in same age group TRANS. Survival and clinical outcomes including acute kidney injury MESHD acute kidney injury HP, the use of inotropes, mechanical ventilator, and cardiac events were greater in men than women. The mortality rate was the highest for the populations aged TRANS 50–64 or ≥ 65 years. Subgroup analyses for age TRANS, diabetes mellitus MESHD diabetes mellitus HP, or hypertension MESHD hypertension HP showed favorable results for patient survival or clinical outcomes in women compared to men.Conclusion Our population-based study showed that female TRANS patients with COVID-19 were associated with favorable outcomes, including survival. The impact of sex was more evident in population aged TRANS 50–64 or ≥ 65 years.

    Clinical characteristics and outcome of critically ill COVID-19 patients with Acute Kidney Injury MESHD Acute Kidney Injury HP: A single centre cohort study

    Authors: Richard Lowe; Matteo Ferrari; Myra Nasim-Mohi; Alexander Jackson; Ryan Meacham; Kristin Veighey; Rebecca Cusack; Dominic Richardson; Michael Grocott; Denny Levett; Ahilanandan Dushianthan

    doi:10.21203/rs.3.rs-40934/v1 Date: 2020-07-10 Source: ResearchSquare

    BackgroundAcute kidney injury (AKI) is a common manifestation among patients critically ill with SARS-CoV-2 infection MESHD (Coronavirus 2019) and is associated with significant morbidity and mortality. The pathophysiology of renal failure in this context is not fully understood, but likely to be multifactorial. The intensive care unit outcomes of patients following COVID-19 acute critical illness MESHD with associated AKI have not been fully explored. We conducted a cohort study to investigate the risk factors for acute kidney injury MESHD acute kidney injury HP in patients admitted to and intensive care unit with COVID-19, its incidence and associated outcomes.MethodsWe reviewed the medical records of all patients admitted to our adult intensive care unit suffering from SARS-CoV-2 infection from 3rd March 2020 until 10th May 2020. Acute kidney injury was defined using the Kidney Disease MESHD Improving Global Outcome (KDIGO) criteria. The outcome analysis was assessed up to date as 15th of June 2020.ResultsA total of 81 patients admitted during this period. All patients had acute hypoxic respiratory failure HP and needed either noninvasive or invasive mechanical ventilatory support. Thirty-six patients (44%) had evidence of AKI (Stage I-33%, Stage II-22%, Renal Replacement Therapy (RRT)-44%). All patients with AKI stage III had RRT. Age TRANS, diabetes mellitus MESHD diabetes mellitus HP, immunosuppression, lymphopenia MESHD lymphopenia HP, high D-Dimer levels, increased APACHE II and SOFA scores, mechanical ventilation and use of inotropic or vasopressor support were significantly associated with AKI. The peak AKI was at day 4 and mean duration of RRT was 9 days. The mortality was 25% for the AKI group compared to 7% in those without AKI. Among those received RRT and survived their illness, the renal function recovery is complete and back to baseline in 92% of patients. Conclusion Acute kidney injury and renal replacement therapy is common in critically ill patients presenting with COVID-19. It is associated with increased severity of illness on admission to ICU, increased mortality and prolonged ICU and hospital length of stay.

    Autoantibody-negative insulin-dependent Diabetes after COVID-19

    Authors: Tim Hollstein; Juliane Schulz; Andreas Glück; Dominik M Schulte; Stefan Schreiber; Stefan R Bornstein; Matthias Laudes

    doi:10.21203/rs.3.rs-39343/v1 Date: 2020-07-01 Source: ResearchSquare

    Here we report the manifestation of insulin dependent diabetes after a COVID-19 infection MESHD in the absence of typical autoantibodies for type 1 diabetes. A 19-year-old Caucasian male TRANS subject presented to our emergency MESHD department with diabetic ketoacidosis MESHD diabetic ketoacidosis HP (DKA). C-peptide levels accounted to 0.62µg/L in the presence of blood SERO glucose concentrations of 30.6 mmol/L (552 mg/dL). The patient´s case history revealed a COVID-19 disease MESHD 6-8 weeks prior to admission. This is of interest, since COVID-19 internalization into host cells is mediated via Angiotensin-converting enzyme 2 (ACE2) [1], a transmembrane glycoprotein which amongst others is crucial for β-cell homeostasis and function [2,3,4]. Detailed laboratory testing was performed, revealing no serum SERO- antibodies SERO against islet-cells (ICA), glutamic acid decarboxylase (GAD65-AA), tyrosine phosphatase (IA-2-AA), insulin (IAA) and zinc-transport-8 (ZnT8-AA), but against COVID-19. Hence, this is a presentation of an insulin-dependent diabetes mellitus MESHD diabetes mellitus HP in the absence of markers of autoimmunity HP, which might suggest direct cytolytic effects of COVID-19 on pancreatic β-cells presumably mediated via ACE2.

    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.

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).

Sources


Annotations

All
None
MeSH Disease
Human Phenotype
Transmission
Seroprevalence


Export subcorpus as Endnote

This service is developed in the project nfdi4health task force covid-19 which is a part of nfdi4health.

nfdi4health is one of the funded consortia of the National Research Data Infrastructure programme of the DFG.