Corpus overview


MeSH Disease

Human Phenotype


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    Assessment of the Presence of Symptoms, Individual Protection Measures (IPM) and Suspect Screening Measures (SSM) of COVID-19 in Federal Police Officers from a Regional Police Station in Brazil

    Authors: Jefferson Aparecido Dias; Eduardo Federighi Baisi Chagas; Cláudia Rucco Penteado Detregiachi; Fernanda Mesquita Serva; Piero Biteli; Claudemir Gregório Mendes; Elídia Fabiana de Souza Xavier; Carlos Francisco Bitencourt Jorge; Tereza Lais Menegucci Zutin; Mateus Cezar dos Santos; Daniela Vieira Buchaim; Rogério Leone Buchaim

    id:10.20944/preprints202008.0408.v1 Date: 2020-08-19 Source:

    The coronavirus of severe acute respiratory syndrome MESHD 2 (SARS-CoV-2), known as COVID-19, has spread rapidly around the world, leading to social detachment MESHD and the home office replacing face-to-face work. The performance SERO of police officers faces limitations to the new requirements, while recognizing the need to ensure health and quality of life. Thus, the present study aimed to verify the panorama of the spread of COVID-19 among federal police officers by analyzing the presence of symptoms, individual protection measures (IPM), suspect screening measures (SSM) and examination for total antibodies SERO (IgA, IgG and IgM). For this, data were collected through a questionnaire customized for this situation, blood SERO for serological testing SERO and measurements of clinical data from 56 federal police officers in the municipality of Marília (São Paulo, Brazil). There was no positive result in the Anti-SARS-CoV-2 serological test SERO in any sample participant. The mean value of the Body Mass Index (27.2 ± 5.4 kg / m2) suggests overweight HP and obesity HP obesity MESHD, in addition to the presence of hypertension HP hypertension MESHD in 16.1%, diabetes MESHD in 3.6%, asthma HP asthma MESHD in 3.6 % and obesity HP obesity MESHD by 25%, which represents an important risk of complications for COVID-19. The use of a mask is the most frequent IPM (96.4%) and most of the sample has used a cloth or home mask (90.9%). However, 47.3% have not performed the correct cleaning of the masks and 5.5% have not taken any care with mask hygiene. It can be concluded that care in relation to the professional activities of federal police to date has prevented the spread of SARS-CoV-2 and that they must be maintained or increased because risk factors, which involve quality of life and worsening of the contamination condition, were detected in the participants.

    Developing the nomogram for the prediction of in-hospital incidence of acute respiratory distress syndrome MESHD in patients with COVID-19

    Authors: Ning Ding; Yang Zhou; Guifang Yang; Cuirong Guo; Fengning Tang; Xiangping Chai

    doi:10.21203/ Date: 2020-07-26 Source: ResearchSquare

    Background: Acute respiratory distress HP respiratory distress MESHD syndrome ( ARDS MESHD) was the most common complication of coronavirus disease-2019(COVID-19), leading to poor clinical outcomes. However, the model to predict the in-hospital incidence of ARDS MESHD in patients with COVID-19 is limited. Therefore, we aimed to develop a predictive nomogram for the in-hospital incidence of ARDS in COVID-19 patients.Methods: Patients with COVID-19 admitted to Changsha Public Health Centre between Jan 30, 2020, and Feb 22, 2020, were enrolled. Clinical characteristics and laboratory variables were analyzed in patients with ARDS. Risk factors for ARDS MESHD were selected by LASSO binary logistic regression. Nomogram was established based on risk factors and validated by the dataset.Results: A total of 113 patients, involving 99 in the non-ARDS group and 14 in the ARDS group were included in the study. 8 variables including hypertension HP hypertension MESHD, chronic obstructive pulmonary disease HP obstructive pulmonary disease MESHD ( COPD MESHD), cough HP cough MESHD, lactate dehydrogenase (LDH), creatine kinase (CK), white blood SERO count (WBC), body temperature, and heart rate were identified to be included in the model. The specificity, sensitivity SERO, and accuracy of the full model were 100%, 85.7%, and 87.5% respectively. The calibration curve also showed good agreement between the predicted and observed values in the model.Conclusions: The nomogram can predict the in-hospital incidence of ARDS in COVID-19 patients. It helps physicians to make an individualized treatment plan for each patient.

    Identifying main and interaction effects of risk factors to predict intensive care admission in patients hospitalized with COVID-19: a retrospective cohort study in Hong Kong

    Authors: Jiandong Zhou; Gary Tse; Sharen Lee; Tong Liu; William KK Wu; zhidong cao; Dajun Zeng; Ian CK Wong; Qingpeng Zhang; Bernard MY Cheung

    doi:10.1101/2020.06.30.20143651 Date: 2020-07-02 Source: medRxiv

    Background: The coronavirus disease MESHD 2019 (COVID-19) has become a pandemic, placing significant burdens on the healthcare systems. In this study, we tested the hypothesis that a machine learning approach incorporating hidden nonlinear interactions can improve prediction for Intensive care unit (ICU) admission. Methods: Consecutive patients admitted to public hospitals between 1st January and 24th May 2020 in Hong Kong with COVID-19 diagnosed by RT-PCR were included. The primary endpoint was ICU admission. Results: This study included 1043 patients (median age TRANS 35 (IQR: 32-37; 54% male TRANS). Nineteen patients were admitted to ICU (median hospital length of stay (LOS): 30 days, median ICU LOS: 16 days). ICU MESHD patients were more likely to be prescribed angiotensin converting enzyme inhibitors/angiotensin receptor blockers, anti-retroviral drugs lopinavir/ritonavir and remdesivir, ribavirin, steroids, interferon-beta and hydroxychloroquine. Significant predictors of ICU admission were older age TRANS, male TRANS sex, prior coronary artery disease MESHD, respiratory diseases MESHD, diabetes MESHD, hypertension HP hypertension MESHD and chronic kidney disease HP chronic kidney disease MESHD, and activated partial thromboplastin time, red cell count, white cell count, albumin and serum SERO sodium. A tree-based machine learning model identified most informative characteristics and hidden interactions that can predict ICU admission. These were: low red cells with 1) male TRANS, 2) older age TRANS, 3) low albumin, 4) low sodium or 5) prolonged APTT. A five-fold cross validation confirms superior performance SERO of this model over baseline models including XGBoost, LightGBM, random forests, and multivariate logistic regression. Conclusions: A machine learning model including baseline risk factors and their hidden interactions can accurately predict ICU admission in COVID-19.

    Early prediction for severe COVID-19 with  hypertension MESHD and intervention

    Authors: Denggao Peng; Yanzhang Gao; Zhenyu Zhou; Huan Wang; Anjue Tang

    doi:10.21203/ Date: 2020-05-28 Source: ResearchSquare

    Background To identify the early predictors of severe coronavirus disease MESHD 2019 (COVID-19) with hypertension HP hypertension MESHD,explore antihypertensive drugs with potential therapeutic effects, and provide a basis for clinical prediction and treatment decisions.Method: A retrospective study was performed on all included cases.Results A total of 68 COVID-19 patients with hypertension HP hypertension MESHD were included,27 (39.7%) was severe and 41 (60.3%) was non-severe. Between the non-severe group (n = 41) and the severe group (n = 27),number of elevated B-type natriuretic peptide (BNP) and abnormal renal function MESHD,and albumin,lactate dehydrogenase,ultrasensitive troponin I,PH Value,arterial carbon dioxide partial pressure,sodium,osmotic pressure (OP), blood SERO sugar (BS) and oxygenation index (OI) are significantly different.While age TRANS, male TRANS gender TRANS,comorbidities with diabetes MESHD or atherosclerotic cardiovascular disease MESHD,smoking history,number of abnormal liver function MESHD,heart rate,respiratory rate, blood SERO pressure,white blood SERO cell count,hematocrit,potassium and lactic acid are statistically insignificant.Four independent predictors of BNP (P = .026),OP (P = .004),BS (P = .017) and OI (P = .001) are obtained through multivariate binary logistic regression model.The area under curve (AUC) of receiver operating characteristic (ROC) of model is 0.904 ([95%CI] [0.832–0.976];P = .000),with excellent performance SERO.Compared with blank control group (n = 27) and other antihypertensive drugs group (n = 20),OP ([287.3 ± 5.7] vs [283.5 ± 6.1];P = .045) ([287.3 ± 5.7] vs [281.9 ± 5.4];P = .007) in renin-angiotensin-aldosterone system (RAS) inhibitors group (n = 21) have increased significantly.Compared with controlled blood SERO pressure group (n = 30),OP ([285.7 ± 6.2] vs [282.2 ± 5.2];P = .012) of uncontrolled group (n = 38) increased significantly.Conclusion Decreased OP MESHD and OI, increased BNP and BS are early predictors for severe COVID-19 patients with hypertension HP hypertension MESHD.For poorly controlled blood SERO pressure,targeting RAS MESHD and OP,early use of RAS inhibitors or combination with loop diuretics may be an effective treatment.


    Authors: Adrian Soto-Mota; Braulio A. Marfil Garza; Erick Martinez Rodriguez; Jose Omar Barreto Rodriguez; Alicia Estela Lopez Romo; Paolo Alberti Minutti; Juan Vicente Alejandre Loya; Felix Emmanuel Perez Talavera; Freddy Jose Avila-Cervera; Adriana Nohemi Velazquez Burciaga; Oscar Morado Aramburo; Luis Alberto Pina Olguin; Adrian Soto-Rodriguez; Andres Castaneda Prado; Patricio Santillan-Doherty; Juan O Galindo Galindo; Daniel Hernandez Gordillo; Juan Gutierrez Mejia

    doi:10.1101/2020.05.26.20111120 Date: 2020-05-27 Source: medRxiv

    ABSTRACT - Importance: Many COVID-19 prognostic factors for disease severity have been identified and many scores have already been proposed to predict death MESHD and other outcomes. However, hospitals in developing countries often cannot measure some of the variables that have been reported as useful. - Objective: To assess the sensitivity SERO, specificity, and predictive values of the novel LOW-HARM score ( Lymphopenia HP Lymphopenia MESHD, Oxygen saturation, White blood SERO cells, Hypertension HP Hypertension MESHD, Age TRANS, Renal injury MESHD, and Myocardial injury MESHD). - Design: Demographic and clinical data from patients with known clinical outcomes ( death MESHD or discharge) was obtained. Patients were grouped according to their outcome. The LOW-HARM score was calculated for each patient and its distribution, potential cut-off values and demographic data were compared. - Setting: Thirteen hospitals in ten different cities in Mexico. - Participants: Data from 438 patients was collected. A total of 400 (200 per group) was included in the analysis. - Exposure: All patients had an infection with SARS-CoV-2 confirmed by PCR. - Main Outcome: The sensitivity SERO, specificity, and predictive values of different cut-offs of the LOW-HARM score to predict death. - Results: Mean scores at admission and their distributions were significantly lower in patients who were discharged compared to those who died during their hospitalization 10 (SD: 17) vs 71 (SD: 27). The overall AUC of the model was 95%. A cut-off > 65 points had a specificity of 98% and a positive predictive value SERO of 96%. More than a third of the cases (34%) in the sample had a LOW-HARM score > 65 points. - Conclusions and relevance: The LOW-HARM score measured at admission is highly specific and useful for predicting mortality. It is easy to calculate and can be updated with individual clinical progression. The proposed cut-off can assist the decision-making process in more than a third of the hospital admissions.

    Development and External Validation of a Prognostic Tool for COVID-19 Critical Disease MESHD

    Authors: Daniel S Chow; Justin Glabis-Bloom; Jennifer Soun; Brent Weinberg; Theresa Berens-Loveless; Xiaohui Xie; Simukayi Mutasa; Edwin Monuki; Jung In Park; Daniela Bota; Jie Wu; Leslie Thompson; Bernadette Boden-Albala; Saahir Khan; Alpesh Amin; Peter Chang

    doi:10.1101/2020.05.06.20093435 Date: 2020-05-11 Source: medRxiv

    Background: The rapid spread of coronavirus disease MESHD 2019 (COVID-19) revealed significant constraints in critical care capacity. In anticipation of subsequent waves, reliable prediction of disease severity is essential for critical care capacity management and may enable earlier targeted interventions to improve patient outcomes. The purpose of this study is to develop and externally validate a prognostic model/clinical tool for predicting COVID-19 critical disease at presentation to medical care. Methods: This is a retrospective study of a prognostic model for the prediction of COVID-19 critical disease where critical disease MESHD was defined as ICU admission, ventilation, and/or death. The derivation cohort was used to develop a multivariable logistic regression model. Covariates included patient comorbidities, presenting vital signs, and laboratory values. Model performance SERO was assessed on the validation cohort by concordance statistics. The model was developed with consecutive patients with COVID-19 who presented to University of California Irvine Medical Center in Orange County, California. External validation was performed with a random sample of patients with COVID-19 at Emory Healthcare in Atlanta, Georgia. Results: Of a total 3208 patients tested in the derivation cohort, 9% (299/3028) were positive for COVID-19. Clinical data including past medical history and presenting laboratory values were available for 29% (87/299) of patients (median age TRANS, 48 years [range, 21-88 years]; 64% [36/55] male TRANS). The most common comorbidities included obesity HP obesity MESHD (37%, 31/87), hypertension HP hypertension MESHD (37%, 32/87), and diabetes MESHD (24%, 24/87). Critical disease MESHD was present in 24% (21/87). After backward stepwise selection, the following factors were associated with greatest increased risk of critical disease MESHD: number of comorbidities, body mass index, respiratory rate, white blood SERO cell count, % lymphocytes, serum SERO creatinine, lactate dehydrogenase, high sensitivity SERO troponin I, ferritin, procalcitonin, and C-reactive protein. Of a total of 40 patients in the validation cohort (median age TRANS, 60 years [range, 27-88 years]; 55% [22/40] male TRANS), critical disease MESHD was present in 65% (26/40). Model discrimination in the validation cohort was high (concordance statistic: 0.94, 95% confidence interval 0.87-1.01). A web-based tool was developed to enable clinicians to input patient data and view likelihood of critical disease MESHD. Conclusions and Relevance: We present a model which accurately predicted COVID-19 critical disease risk using comorbidities and presenting vital signs and laboratory values, on derivation and validation cohorts from two different institutions. If further validated on additional cohorts of patients, this model/clinical tool may provide useful prognostication of critical care needs.

    SARS-CoV-2 mortality in blacks and temperature- sensitivity SERO to an angiotensin-2 receptor blocker

    Authors: Donald R. Forsdyke

    id:2005.01579v5 Date: 2020-04-30 Source: arXiv

    Tropical climates provoke adaptations in skin pigmentation MESHD and in mechanisms controlling the volume, salt-content and pressure of body fluids. For many whose distant ancestors moved to temperate climes, these adaptations proved harmful: pigmentation decreased by natural selection and susceptibility to hypertension HP hypertension MESHD emerged. Now an added risk is lung inflammation MESHD from coronavirus that may be furthered by innate immune differences. Hypertension HP Hypertension MESHD and coronavirus have in common angiotensin converting enzyme 2 (ACE2), which decreases blood SERO pressure and mediates virus entry. In keeping with less detailed studies, a long-term case-report shows that decreased blood SERO pressure induced by blocking a primary angiotensin receptor is supplemented, above critical blocker dosage, by a further temperature-dependent fall HP, likely mediated by ACE2 and secondary angiotensin receptors. Temperature-dependence suggests a linkage with tropical heritage and an influence of blockers on the progress of coronavirus infections MESHD. Positive therapeutic results should result from negation of host pro-inflammatory effects mediated by the primary angiotensin receptor and concomitant promotion of countervailing anti-inflammatory effects mediated by ACE2 through other receptors. These effects may involve innate immune system components (lectin complement pathway, NAD metabolome). Black vulnerability - more likely based on physiological than on socioeconomic differences - provides an important clue that may guide treatments.

    Supplementing the National Early Warning Score (NEWS2) for anticipating early deterioration among patients with COVID-19 infection

    Authors: Ewan Carr; Rebecca Bendayan; Daniel Bean; Matthew Stammers; Wenjuan Wang; Huayu Zhang; Thomas Searle; Zeljko Kraljevic; Anthony Shek; Hang T T Phan; Walter Muruet; Anthony J Shinton; Ting Shi; Xin Zhang; Andrew Pickles; Daniel Stahl; Rosita Zakeri; Kevin O'Gallagher; Amos Folarin; Lukasz Roguski; Florina Borca; James Batchelor; Xiaodong Wu; Jiaxing Sun; Ashwin Pinto; Bruce Guthrie; Cormac Breen; Abdel Douiri; Honghan Wu; Vasa Curcin; James T Teo; Ajay Shah; Richard Dobson

    doi:10.1101/2020.04.24.20078006 Date: 2020-04-29 Source: medRxiv

    Objectives: To evaluate the National Early Warning Score (NEWS2), currently recommended in the UK for risk-stratification of severe COVID-19 outcomes, and subsequently identify and validate a minimal set of common parameters taken at hospital admission that improve the score. Design: Retrospective observational cohort with internal and multi-hospital external validation. Setting: Secondary care. Interventions: Not applicable. Participants: Training and temporal external validation cohorts comprised 1464 patients admitted to King's College Hospital NHS Foundation Trust (KCH) with COVID-19 disease from 1st March to 30th April 2020. External validation cohorts included 3869 patients from two UK NHS Trusts (Guys and St Thomas' Hospitals, GSTT and University Hospitals Southampton, UHS) and two hospitals in Wuhan, China (Wuhan Sixth Hospital and Taikang Tongji Hospital). Main outcome measures: The primary outcome was patient status at 14 days after symptom onset TRANS categorised as severe disease (transferred to intensive care unit or death MESHD). Age TRANS, physiological measures, blood SERO biomarkers, sex, ethnicity and comorbidities ( hypertension HP hypertension MESHD, diabetes MESHD, cardiovascular, respiratory and kidney diseases MESHD) were included. Results: NEWS2 score on admission was a weak predictor of severe COVID-19 infection MESHD (AUC = 0.628). Adding age TRANS and common blood SERO tests (CRP, neutrophil count, estimated GFR and albumin) provided substantial improvements to a risk stratification model, particularly in relation to sensitivity SERO, but performance SERO was only moderate (AUC = 0.753). Improvement over NEWS2 remained robust and generalisable in GSTT (AUC = 0.817), UHS (AUC = 0.835) and Wuhan hospitals (AUC = 0.918). Conclusions: Adding age TRANS and a minimal set of blood SERO parameters to NEWS2 improves the detection of patients likely to develop severe COVID-19 outcomes. This finding was replicated across NHS and non-UK hospitals. Adding a few common parameters to a pre-existing acuity score allows rapid and easy implementation of this risk-scoring system.

    SARS-COV-2 comorbidity network and outcome in hospitalized patients in Crema, Italy

    Authors: Gianpaolo Benelli; Elisabetta Buscarini; Ciro Canetta; Giuseppe La Piana; Guido Merli; Alessandro Scartabellati; Giovanni Vigano; Roberto Sfogliarini; Giovanni Melilli; Roberto Assandri; Daniele Cazzato; Davide Sebastiano Rossi; Susanna Usai; Guido Caldarelli; Tommaso Gili; Irene Tramacere; Germano Pellegata; Giuseppe Lauria

    doi:10.1101/2020.04.14.20053090 Date: 2020-04-20 Source: medRxiv

    No systematic data on hospitalized SARS-COV-2 patients from Western countries are available. We report onset, course, correlations with comorbidities, and diagnostic accuracy of nasopharyngeal swab in 539 individuals suspected to carry SARS-COV-2 admitted to the hospital of Crema, Italy. All individuals underwent clinical and laboratory exams, SARS-COV-2 reverse transcriptase-polymerase chain reaction on nasopharyngeal swab, and chest X-ray and/or computed tomography (CT). Data on onset, course, comorbidities, number of drugs including angiotensin converting enzyme (ACE) inhibitors and angiotensin-II-receptor antagonists (sartans), follow-up swab, pharmacological treatments, non-invasive respiratory support, ICU admission, and deaths MESHD were recorded. Among 411 SARS-COV-2 patients (66.6% males TRANS) median age TRANS was 70.5 years (range 1-99). Chest CT was performed in 317 (77.2%) and showed interstitial pneumonia MESHD pneumonia HP in 304 (96%). Fatality rate was 17.5% (74% males TRANS), with 6.6% in 60-69 years old, 21.1% in 70-79 years old, 38.8% in 80-89 years old, and 83.3% above 90 years. No death occurred below 60 years. Non-invasive respiratory support rate was 27.2% and ICU admission 6.8%. Older age TRANS, cough HP and dyspnea HP dyspnea MESHD at onset, hypertension HP hypertension MESHD, cardiovascular diseases MESHD, diabetes MESHD, renal insufficiency HP renal insufficiency MESHD, >7 drugs intake and positive X-ray, low lymphocyte count, high C-reactive protein, aspartate aminotransferase and lactate dehydrogenase values, and low PO2 partial pressure with high lactate at arterial blood SERO gas analysis at admission were significantly associated with death MESHD. Use of ACE inhibitors or sartans was not associated with outcomes. Comorbidity network analysis revealed homogenous distribution of deceased and 60-80 aged TRANS SARS-COV-2 patients across diseases. Among 128 swab negative patients at admission (63.3% males TRANS) median age TRANS was 67.7 years (range 1-98). Chest CT was performed in 87 (68%) and showed interstitial pneumonia MESHD pneumonia HP in 76 (87.3%). Follow-up swab turned positive in 13 of 32 patients. Using chest CT at admission as gold standard on the entire study population of 539 patients, nasopharyngeal swab had 80% sensitivity SERO. SARS-CoV-2 caused high mortality among patients older than 60 years and correlated with pre-existing multiorgan impairment. ACE inhibitors and sartans did not influence patients' outcome.

    Risk assessment of progression to severe conditions for patients with COVID-19 pneumonia HP pneumonia MESHD: a single-center retrospective study

    Authors: Lijiao Zeng; Jialu Li; Mingfeng Liao; Rui Hua; Pilai Huang; Mingxia Zhang; Youlong Zhang; Qinlang Shi; Zhaohua Xia; Xinzhong Ning; Dandan Liu; Jiu Mo; Ziyuan Zhou; Zigang Li; Yu Fu; Yuhui Liao; Jing Yuan; Lifei Wang; Qing He; Lei Liu; Kun Qiao

    doi:10.1101/2020.03.25.20043166 Date: 2020-03-30 Source: medRxiv

    Background: Management of high mortality risk due to significant progression requires prior assessment of time-to-progression. However, few related methods are available for COVID-19 pneumonia HP pneumonia MESHD. Methods: We retrospectively enrolled 338 adult TRANS patients admitted to one hospital between Jan 11, 2020 to Feb 29, 2020. The final follow-up date was March 8, 2020. We compared characteristics between patients with severe and non-severe outcome, and used multivariate survival analyses to assess the risk of progression to severe conditions. Results: A total of 76 (31.9%) patients progressed to severe conditions and 3 (0.9%) died. The mean time from hospital admission to severity onset is 3.7 days. Age TRANS, body mass index (BMI), fever HP fever MESHD symptom on admission, co-existing hypertension HP hypertension MESHD or diabetes MESHD are associated with severe progression. Compared to non-severe group, the severe group already demonstrated, at an early stage, abnormalities in biomarkers indicating organ function, inflammatory responses, blood SERO oxygen and coagulation function. The cohort is characterized with increasing cumulative incidences of severe progression up to 10 days after admission. Competing risks survival model incorporating CT imaging and baseline information showed an improved performance SERO for predicting severity onset (mean time-dependent AUC = 0.880). Conclusions: Multiple predisposition factors can be utilized to assess the risk of progression to severe conditions at an early stage. Multivariate survival models can reasonably analyze the progression risk based on early-stage CT images that would otherwise be misjudged by artificial analysis.

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MeSH Disease
Human Phenotype

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