Corpus overview


MeSH Disease

Human Phenotype

Hypertension (21)

Pneumonia (11)

Anxiety (10)

Fever (9)

Obesity (7)


    displaying 1 - 10 records in total 76
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    Factors associated with the poor outcomes in diabetic patients with COVID-19

    Authors: Hadith Rastad; Hanieh-Sadat Ejtahed; Armita Mahdavi-Ghorabi; Anis Safari; Ehsan Shahrestanaki; Mohammad Rezaei; Mohammad Mahdi Niksima; Akram Zakani; Seyede Hanieh Dehghan Manshadi; Fatemeh Ochi; Shabnam saedi; Zeinab Khodaparast; Neda Shafiabadi Hassani; Mehdi Azimzadeh; Mostafa Qorbani

    doi:10.21203/ Date: 2020-08-09 Source: ResearchSquare

    Background Diabetic’s patients are supposed to experience higher rates of COVID-19 related poor outcomes. We aimed to determined factors predicting poor outcomes in hospitalized diabetic patients with COVID-19.Methods This retrospective cohort study included all adult TRANS diabetic patients with radiological or laboratory confirmed COVID-19 who hospitalized between 20 February 2020 and 27 April 2020 in Alborz province, Iran. Data on demographic, medical history, and laboratory test at presentation were obtained from electronic medical records. Diagnosis of diabetes mellitus MESHD diabetes mellitus HP was self-reported. Comorbidities including cancer, rheumatism, immunodeficiency HP, or chronic diseases MESHD of respiratory, liver, and blood SERO were classified as “other comorbidities” due to low frequency. The assessed poor outcomes were in-hospital mortality, need to ICU care, and receiving invasive mechanical ventilation. Self-reported. Multivariate logistic regression models were fitted to quantify the predictors of in-hospital mortality from COVID-19 in patients with DM.Results Of 455 included patients, 98(21.5%) received ICU care, 65(14.3%) required invasive mechanical ventilation, and 79 (17.4%) dead. In the multivariate model, significant predictors of “death of COVID-19” were age TRANS 65 years or older (OR (95% CI): 2.0 (1.16–3.44), chronic kidney disease HP kidney disease MESHD (CKD) (2.05 (1.16–3.62), presence of “other comorbidities” (2.20 (1.04–4.63)), neutrophil count ≥ 8.0 × 10⁹/L )6.62 (3.73–11.7 ((, Hb level < 12.5 g/dl (2.05 (1.13–3.72) (, and creatinine level ≥ 1.36 mg/dl (3.10 (1.38–6.98)). (All p –values < 0.05). Some of these factors were also associated with other assessed poor outcomes, e.g., need to ICU care or invasive mechanical ventilation.Conclusions Diabetic patients with age TRANS 65 years or older, comorbidity CKD, “other comorbidities”, as well as neutrophil count ≥ 8.0 × 10⁹/L, Hb level < 12.5 g/dl, and creatinine level ≥ 1.36 mg/dl, were more likely to dead after COVID-19. Presence of hypertension MESHD hypertension HP and cardiovascular disease MESHD were associated with none of the poor outcomes.

    Genetic and Phenotypic Evidence for the Causal Relationship Between Aging and COVID-19

    Authors: Kejun Ying; Ranran Zhai; Timothy V Pyrkov; Marco Mariotti; Peter O Fedichev; Xia Shen; Vadim N Gladyshev

    doi:10.1101/2020.08.06.20169854 Date: 2020-08-07 Source: medRxiv

    Epidemiological studies have revealed that the elderly TRANS and those with co-morbidities are most susceptible to COVID-19. To understand the genetic link between aging and the risk of COVID-19, we conducted a multi-instrument Mendelian randomization analysis and found that the genetic variation that leads to a longer lifespan is significantly associated with a lower risk of COVID-19 infection MESHD. The odds ratio is 0.32 (95% CI: 0.18 to 0.57; P = 1.3 x 10-4) per additional 10 years of life, and 0.62 (95% CI: 0.51 to 0.77; P = 7.2 x 10-6) per unit higher log odds of surviving to the 90th percentile age TRANS. On the other hand, there was no association between COVID-19 susceptibility and healthspan (the lifespan free of the top seven age TRANS-related morbidities). To examine the relationship at the phenotypic level, we applied various biological aging clock models and detected an association between the biological age TRANS acceleration and future incidence and severity of COVID-19 infection MESHD for all subjects as well as for the individuals free of chronic disease MESHD. Biological age TRANS acceleration was also significantly associated with the risk of death MESHD in COVID-19 patients. Our findings suggest a causal relationship between aging and COVID-19, defined by genetic variance, the rate of aging, and the burden of chronic diseases MESHD.

    Spatial Distribution and Trend Analysis of Current Status of COVID-19 in Nepal and Global Future Preventive Perspectives

    Authors: Ramesh Raj Pant; Buddha Bahadur Bahadur; Kiran Bishwakarma; Sudip Paudel; Nashib Pandey; Samir Kumar Adhikari; Kamal Ranabhat

    doi:10.21203/ Date: 2020-08-05 Source: ResearchSquare

    Background: Coronavirus disease MESHD (COVID-19) is a recently discovered severe and contagious disease MESHD caused by severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV-2) and has received worldwide attention. The risk of COVID-19 is serious for the infected persons of chronic diseases MESHD as well as vulnerable populations including elder group. Still, the present scenario of scarcity of effective treatment options and limited recovery rate of ongoing treatment are prevailed in Nepal. This study aims to analyze the spatial distribution and trends of COVID-19 with the help of geographic information system (GIS) software and outlook future preventive perspectives.Methods: In this research work, we used GIS tool ArcGIS 10.4.1 to map the distribution patterns of population of COVID-19 cases. Federal, provincial and district level daily cases data of COVID-19 confirmed, cured and death MESHD from 23rd January to 13th July 2020 were obtained from the Ministry of Health and Population (MoHP), Government of Nepal. In addition, we reviewed several peer-reviewed research papers to summarize the global scenarios and preventive perspectives on COVID-19.Results: In context to Nepal SARS-CoV-2 has spread throughout the country infecting 16,945 persons in all 77 districts, as of 13th July, 2020. Confirmed, cured and death MESHD cases experienced an upward trend up to 1st July, 2020 followed by downward trend as of 13th July, 2020. Over 70% of total confirmed cases TRANS of reported COVID-19 patients were from the lowland-plain area. Spatial clustering suggested that provinces 2 and 5 were at potentially increased risk of COVID-19, and Province 1 and Bagmati province could be grouped as future "hot spots". In addition, we proposed four strategies namely, identification of the key medical and social elements, discovery and development of treatment options for a future pandemic, investing in ethno-medicine research and epidemic preparedness of health care system to decrease the efficacy of calamities of future pandemics.Conclusion: Our study demonstrates one of the best ways to protect; control and sluggish transmission TRANS of SARS-CoV-2 could be achieved by monitoring active ties using GIS spatial analysis. And, the severity of future pandemic could be minimized by integrative action on the abovementioned four different preventive master plans.

    Effects of COVID-19 in Endocrine Patients: Results of a Sicilian Experience

    Authors: Elisabetta Morini; Rosanna Palmeri; Giuseppa Maresca; Lilla Bonanno; Maria Cristina De Cola; Adriana Andaloro; Santina Caliri; Placido Bramanti; Francesco Corallo

    id:10.20944/preprints202008.0041.v1 Date: 2020-08-02 Source:

    In March 2020 the World Health Organization declared the “pandemic state” due to COVID-19 imposing strict confinement of the world population. People were forced to spend more time at home, changing some daily routines, including social interactions HP social interactions TRANS, the possibility to perform sports, and diet habits. These changes could exert a greater impact on patients suffering from chronic diseases MESHD, such as endocrine patients. This study aimed to assess the effects of Covid-19 induced quarantine on daily habits in a group of patients with endocrine disorders, focusing on food consumption, eating, and sleep habits during the confinement. Eighty-five endocrine patients were enrolled. A structured interview was administered investigating: socio-demographic information, general medical conditions and habits adopted during the quarantine. All patients underwent the Spielberger State Anxiety HP Inventory (STAI-Y1) to assess state anxiety HP. Subjects had mainly a sedentary lifestyle. We found a significant increase in the number of cigarettes in smokers, an increase of meals consumed during the confinement and a high rate of sleep disorder occurrence, especially insomnia HP. The changes of daily habits were, probably, due to the alterations of routine, that determined more bore and inactivity during the day.

    Comorbidities associated with regional variations in COVID-19 mortality revealed by population-level analysis

    Authors: Hongxing Yang; Fei Zhong

    doi:10.1101/2020.07.27.20158105 Date: 2020-07-29 Source: medRxiv

    Coronavirus disease MESHD 2019 (COVID-19), caused by severe acute respiratory syndrome MESHD coronavirus 2 (SARS-Cov-2), has developed into a global health crisis. Understanding the risk factors for poor outcomes of COVID-19 is thus important for successful management and control of the pandemic. However, the progress and severity of the epidemic across different regions show great differentiations. We hypothesized the origination of these differences are based on location-dependent variations in underlying population-wide health factors. Disease MESHD prevalence SERO or incidence data of states and counties of the United States were collected for a group of chronic diseases MESHD, including hypertension MESHD hypertension HP, diabetes, obesity MESHD obesity HP, stroke MESHD stroke HP, coronary heart disease MESHD, heart failure MESHD, physical inactivation, and common cancers (e.g., lung, colorectal, stomach, kidney and renal). Correlation and regression analysis identified the prevalence SERO of heart failure MESHD as a significant positive factor for region-level COVID-19 mortality. Similarly, the incidence of gastric cancer and thyroid cancer were also identified as significant factors contributing to regional variation in COVID-19 mortality. To explore the implications of these results, we re-analyzed the RNA-seq data for stomach adenocarcinoma MESHD (STAD) and colon carcinoma MESHD carcinoma HP (COAD) from The Cancer Genome Atlas (TCGA) project. We found that expression of genes in the immune response pathways were more severely disturbed in STAD than in COAD, implicating higher probability for STAD patients or individuals with precancerous chronic stomach diseases MESHD to develop cytokine storm once infected with COVID-19. Taken together, we conclude that location variations in particular chronic diseases MESHD and cancers contribute significantly to the regional variations in COVID-19 mortality.

    Endocrine disrupting chemicals and COVID-19 relationships: a computational systems biology approach

    Authors: Qier Wu; Xavier Coumoul; Philippe Grandjean; Robert Barouki; Karine Audouze

    doi:10.1101/2020.07.10.20150714 Date: 2020-07-15 Source: medRxiv

    Background: Patients at high risk of severe forms of COVID-19 frequently suffer from chronic diseases MESHD, but other risk factors may also play a role. Environmental stressors, such as endocrine disrupting chemicals (EDCs), can contribute to certain chronic diseases MESHD and might aggravate the course of COVID-19. Objectives: To explore putative links between EDCs and COVID-19 severity, an integrative systems biology approach was constructed and applied. Methods: As a first step, relevant data sets were compiled from major data sources. Biological associations of major EDCs to proteins were extracted from the CompTox database. Associations between proteins and diseases MESHD known as important COVID-19 comorbidities were obtained from the GeneCards and DisGeNET databases. Based on these data, we developed a tripartite network (EDCs-proteins- diseases MESHD) and used it to identify proteins overlapping between the EDCs and the diseases MESHD. Signaling pathways for common proteins were then investigated by over-representation analysis. Results: We found several statistically significant pathways that may be dysregulated by EDCs and that may also be involved in COVID-19 severity. The Th17 and the AGE TRANS/RAGE signaling pathways were particularly promising. Conclusions: Pathways were identified as possible targets of EDCs and as contributors to COVID-19 severity, thereby highlighting possible links between exposure to environmental chemicals and disease MESHD development. This study also documents the application of computational systems biology methods as a relevant approach to increase the understanding of molecular mechanisms linking EDCs and human diseases MESHD, thereby contributing to toxicology prediction.

    COVID-19 misinformation: mere harmless delusions HP or much more? A knowledge and attitude cross-sectional study among the general public residing in Jordan

    Authors: Malik Sallam; Deema Dababseh; Alaa Yaseen; Ayat Al-Haidar; Duaa Taim; Huda Eid; Nidaa A. Ababneh; Faris G. Bakri; Azmi Mahafzah

    doi:10.1101/2020.07.13.20152694 Date: 2020-07-15 Source: medRxiv

    Abstract Since the emergence of the recent coronavirus disease MESHD 2019 (COVID-19) and its spread as a pandemic, media was teeming with misinformation that led to psychologic, social and economic consequences among the global public. Probing knowledge and anxiety HP regarding this novel infectious disease MESHD is necessary to identify gaps and sources of misinformation which can help public health efforts to design and implement more focused interventional measures. The aim of this study was to evaluate the knowledge, attitude and effects of misinformation about COVID-19 on anxiety HP level among the general public residing in Jordan. An online survey was used that targeted people aged TRANS 18 and above and residing in Jordan. The questionnaire included items on the following: demographic characteristics of the participants, knowledge about COVID-19, anxiety HP level and misconceptions regarding the origin of the pandemic. The total number of participants included in final analysis was 3150. The study population was predominantly females TRANS (76.0%), with mean age TRANS of 31 years. The overall knowledge of COVID-19 was satisfactory. Older age TRANS, male TRANS gender TRANS, lower monthly income and educational levels, smoking and history of chronic disease MESHD were associated with perceiving COVID-19 as a very dangerous disease MESHD. Variables that were associated with a higher anxiety HP level during the pandemic included: lower monthly income and educational level, residence outside the capital (Amman) and history of smoking. Misinformation about the origin of the pandemic (being part of a conspiracy, biologic warfare and the 5G networks role) was also associated with higher anxiety HP and lower knowledge about the disease MESHD. Social media platforms, TV and news releases were the most common sources of information about the pandemic. The study showed the potential harmful effects of misinformation on the general public and emphasized the need to meticulously deliver timely and accurate information about the pandemic to lessen the health, social and psychological impact of the disease MESHD.

    Development of a data-driven COVID-19 prognostication tool to inform triage and step-down care for hospitalised patients in Hong Kong: A population based cohort study

    Authors: Eva L.H. TSUI; Carrie Lui; Pauline P.S. Woo; Alan T.L. CHEUNG; Peggo K.W. Lam; T.W. Tang; C.F. YIU; C.H. Wan; Libby H.Y. Lee

    doi:10.1101/2020.07.13.20152348 Date: 2020-07-14 Source: medRxiv

    Abstract Background: This is the first study on prognostication in an entire cohort of laboratory-confirmed COVID-19 patients in the city of Hong Kong. Prognostic tool is essential in the contingency response for the next wave of outbreak. This study aims to develop prognostic models to predict COVID-19 patients' clinical outcome on day 1 and day 5 of hospital admission. Methods: We did a retrospective analysis of a complete cohort of 1,037 COVID-19 laboratory-confirmed patients in Hong Kong as of 30 April 2020, who were admitted to 16 public hospitals with their data sourced from an integrated electronic health records system. It covered demographic information, chronic disease MESHD(s) history, presenting symptoms as well as the worst clinical condition status, biomarkers' readings and Ct value of PCR tests on Day-1 and Day-5 of admission. The study subjects were randomly split into training and testing datasets in a 8:2 ratio. Extreme Gradient Boosting (XGBoost) model was used to classify the training data into three disease MESHD severity groups on Day-1 and Day-5. Results: The 1,037 patients had a mean age TRANS of 37.8 (SD {+/-} 17.8), 53.8% of them were male TRANS. They were grouped under three disease MESHD outcome: 4.8% critical/serious, 46.8% stable and 48.4% satisfactory. Under the full models, 30 indicators on Day-1 and Day-5 were used to predict the patients' disease MESHD outcome and achieved an accuracy rate of 92.3% and 99.5%. With a trade-off between practical application and predictive accuracy, the full models were reduced into simpler models with seven common specific predictors, including the worst clinical condition status (4-level), age group TRANS, and five biomarkers, namely, CRP, LDH, platelet, neutrophil/lymphocyte ratio and albumin/globulin ratio. Day-1 model's accuracy rate, macro- and micro-averaged sensitivity SERO and specificity were 91.3%, 84.9%-91.3% and 96.0%-95.7% respectively, as compared to 94.2%, 95.9%-94.2% and 97.8%-97.1% under Day-5 model. as compared to 94.2%, 95.0%-97.1% and 98.3%-98.6% under Day-5 model. Conclusions: Both Day-1 and Day-5 models can accurately predict the disease MESHD severity. Relevant clinical management could be planned according to the predicted patients' outcome. The model is transformed into a simple online calculator to provide convenient clinical reference tools at the point of care, with an aim to inform clinical decision on triage and step-down care. Keywords: COVID-19, prognostic, prediction, clinical outcome, disease MESHD severity, triage, step-down care

    Clinical, Behavioral and Social Factors Associated with Racial Disparities in Hospitalized and Ambulatory COVID-19 Patients from an Integrated Health Care System in Georgia

    Authors: Felipe Lobelo; Alan X Bienvenida; Serena Leung; Armand N Mbanya; Elizabeth J. Leslie; Kate E Koplan; S. Ryan Shin

    doi:10.1101/2020.07.08.20148973 Date: 2020-07-10 Source: medRxiv

    Introduction: Racial and ethnic minorities have shouldered a disproportioned burden of coronavirus disease MESHD 2019 (COVID-19) infection MESHD to date in the US, but data on the various drivers of these disparities is limited. Objectives: To describe the characteristics and outcomes of COVID-19 patients and explore factors associated with hospitalization risk by race. Methods: Case series of 448 consecutive patients with confirmed COVID-19 seen at Kaiser Permanente Georgia (KPGA), an integrated health care system serving the Atlanta metropolitan area, from March 3 to May 12, 2020. KPGA members with laboratory-confirmed COVID-19. Multivariable analyses for hospitalization risk also included an additional 3489 persons under investigation (PUI) with suspected infection MESHD. COVID-19 treatment and outcomes, underlying comorbidities and quality of care management metrics, socio-demographic and other individual and community-level social determinants of health (SDOH) indicators. Results: Of 448 COVID-19 positive members, 68,3% was non-Hispanic Black (n=306), 18% non-Hispanic White (n=81) and 13,7% Other race (n=61). Median age TRANS was 54 [IQR 43-63) years. Overall, 224 patients were hospitalized, median age TRANS 60 (50-69) years. Black race was a significant factor in the Confirmed + PUI, female TRANS and male TRANS models (ORs from 1.98 to 2.19). Obesity MESHD Obesity HP was associated with higher hospitalization odds in the confirmed, confirmed + PUI, Black and male TRANS models (ORs from 1.78 to 2.77). Chronic disease MESHD control metrics (diabetes, hypertension MESHD hypertension HP, hyperlipidemia MESHD hyperlipidemia HP) were associated with lower odds of hospitalization ranging from 48% to 35% in the confirmed + PUI and Black models. Self-reported physical inactivity was associated with 50% higher hospitalization odds in the Black and Female TRANS models. Residence in the Northeast region of Atlanta was associated with lower hospitalization odds in the Confirmed + PUI, White and female TRANS models (ORs from 0.22 to 0.64) Conclusions: We found that non-Hispanic Black KPGA members had a disproportionately higher risk of infection TRANS risk of infection TRANS infection MESHD and, after adjusting for covariates, twice the risk of hospitalization compared to other race groups. We found no significant differences in clinical outcomes or mortality across race/ethnicity groups. In addition to age TRANS, sex and comorbidity burden, pre-pandemic self-reported exercise, metrics on quality of care and control of underlying cardio- metabolic diseases MESHD, and location of residence in Atlanta were significantly associated with hospitalization risk by race groups. Beyond well-known physiologic and clinical factors, individual and community-level social indicators and health behaviors must be considered as interventions designed to reduce COVID-19 disparities and the systemic effects of racism are implemented.

    IL-33 expression in response to SARS-CoV-2 correlates with seropositivity in COVID-19 convalescent individuals

    Authors: Michal A Stanczak; David E Sanin; Petya Apostolova; Gabriele Nerz; Dimitrios Lampaki; Maike Hofmann; Daniel Steinmann; Robert Thimme; Gerhard Mittler; Cornelius F Waller; Edward J Pearce; Erika L Pearce

    doi:10.1101/2020.07.09.20148056 Date: 2020-07-10 Source: medRxiv

    Our understanding of severe acute respiratory syndrome MESHD coronavirus 2 (SARS-CoV-2) is still developing. We investigated seroprevalence SERO and immune responses in subjects professionally exposed to SARS-CoV-2 and their family members TRANS (155 individuals; ages TRANS 5-79 years). Seropositivity for SARS-CoV-2 spike glycoprotein aligned with PCR results that confirmed previous infection MESHD. Anti-spike IgG titers remained high 60 days post- infection MESHD and did not associate with symptoms, but spike-specific IgM did associate with malaise and fever MESHD fever HP. We found limited household transmission TRANS, with children TRANS of infected individuals seldomly seropositive, highlighting professional exposure as the dominant route of infection MESHD in our cohort. We analyzed PBMCs from a subset of seropositive and seronegative adults TRANS. TLR7 agonist- activation revealed an increased population of IL-6+TNF-IL-1{beta}+ monocytes, while SARS-CoV-2 peptide stimulation elicited IL-33, IL-6, IFNa2, and IL-23 expression in seropositive individuals. IL-33 correlated with CD4+ T cell activation in PBMCs from convalescent subjects, and was likely due to T cell-mediated effects on IL-33- producing cells. IL-33 is associated with pulmonary infection MESHD infection and chronic HP and chronic diseases MESHD like asthma MESHD asthma HP and COPD, but its role in COVID-19 is unknown. Analysis of published scRNAseq data of bronchoalveolar lavage fluid (BALF) from patients with mild to severe COVID-19 revealed a population of IL-33-producing cells that increases with disease MESHD. Together these findings show that IL-33 production is linked to SARS-CoV- 2 infection MESHD and warrant further investigation of IL-33 in COVID-19 pathogenesis and immunity.

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MeSH Disease
Human Phenotype

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