Corpus overview


MeSH Disease

HGNC Genes

SARS-CoV-2 proteins

There are no SARS-CoV-2 protein terms in the subcorpus


SARS-CoV-2 Proteins
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    Predicting mortality of individual COVID-19 MESHD patients: A multicenter Dutch cohort

    Authors: Maarten C Ottenhoff; Lucas A Ramos; Wouter Potters; Marcus LF Janssen; Deborah Hubers; Dan Pina-Fuentes; Rajat Thomas; Iwan CC van der Horst; Christian Herff; Pieter Kubben; Paul WG Elbers; Henk A Marquering; Max Welling; Shi Hu; Suat Simsek; Martijn D de Kruif; Tom Dorman; Lucas M Fleuren; Michiel Schinkel; Peter G Noordzij; Joop P van den Bergh; Caroline E Wyers; David TP Buis; Joost Wiersinga; Ella HC van den Hout; Auke C Reidinga; Daisy Rusch; Kim CE Sigaloff; Renee A Douma; Lianne de Haan; Egill A Fridgeirsson; Niels C Gritters van de Oever; Roger JMW Rennenberg; Guido van Wingen; Marcel JH Aries; Martijn Beudel

    doi:10.1101/2020.10.10.20210591 Date: 2020-10-13 Source: medRxiv

    Objective: Develop and validate models that predict mortality of SARS-CoV-2 infected MESHD patients admitted to the hospital. Design: Retrospective cohort study Setting: A multicenter cohort across ten Dutch hospitals including patients from February 27 to June 8 2020. Participants: SARS-CoV-2 positive patients (age [≥] 18) admitted to the hospital. Main Outcome Measures: 21-day mortality evaluated by the area under the receiver operatory curve (AUC), sensitivity, specificity, positive predictive value and negative predictive value. The predictive value of age was explored by comparison with age-based rules used in practice and by excluding age from analysis. Results: 2273 patients were included, of whom 516 had died or discharged to palliative care within 21 days after admission. Five feature sets, including premorbid, clinical presentation and laboratory & radiology values, were derived from 80 features. Additionally, an ANOVA-based data-driven feature selection selected the ten features with the highest F-values: age, number of home medications, urea nitrogen, lactate dehydrogenase, albumin HGNC, oxygen saturation (%), oxygen saturation is measured on room air, oxygen saturation is measured on oxygen therapy, blood gas pH and history of chronic cardiac disease MESHD. A linear logistic regression (LR) and non-linear tree-based gradient boosting (XGB) algorithm fitted the data with an AUC of 0.81 (95% confidence interval 0.77 to 0.85) and 0.82 (0.79 to 0.85), respectively, using the ten selected features. Both models outperformed age-based decision rules used in practice (AUC of 0.69, 0.65 to 0.74 for age > 70). Furthermore, performance remained stable when excluding age as predictor (AUC of 0.78, 0.75 to 0.81) Conclusion: Both models showed excellent performance and had better test characteristics than age-based decision rules, using ten admission features readily available in Dutch hospitals. The models hold promise to aid decision making during a hospital bed shortage.

    Clinical and biochemical indexes of 11 COVID-19 MESHD patients and the genome sequence analysis of the tested SARS-CoV-2

    Authors: Zhikang Yu; Heming Wu; Qingyan Huang; Xuemin Guo; Zhixiong Zhong

    doi:10.21203/ Date: 2020-05-29 Source: ResearchSquare

    BackgroundAt present, SARS-CoV-2 epidemic MESHD in the world rapidly spread. It is a serious global public health emergency.MethodsHere we described the clinical characteristics of 11 SARS-CoV-2 infected MESHD patients hospitalized in the Meizhou People's Hospital. And viral genome sequences of SARS-CoV-2 from these patients were analyzed.ResultsOf the 11 patients, six cases developed fever MESHD, nine cases developed cough MESHD, and two cases developed headache MESHD and chills. Four patients (36.4%) had underlying diseases. Pneumonia is the most common complication. The laboratory test results showed that there was no adult patients with increased LYM/LYM%. Most patients had normal total protein (TP) and albumin ( ALB HGNC), but only two patients had decreased. Most patients had increased or normal levels of erythrocyte sedimentation rate (ESR), C reactive protein HGNC ( CRP HGNC), activated partial thromboplastin time (APTT), fibrinogen HGNC (FIB), creatine kinase isoenzymes (CK-MB), and lactate dehydrogenase (LDH). Neutrophil (NEU) (r=0.664, P=0.026), CK-MB (r=0.655, P=0.029), blood urea nitrogen (BUN) (r=0.682, P=0.021) and SARS-CoV-2 virus cycle threshold (Ct) value were significantly correlated. Multiple sequence alignment (MSA) shows that we identified two different SNPs at positions 8781 and 28144, and have a completely linked genetic form of 8781C-28144T and 8781T-28144C.ConclusionsThe reports of these 11 cases in our hospital will provide useful information for the diagnosis, treatment and drug development of SARS-CoV-2.

    Potential Factors for Prediction of Disease Severity of COVID-19 MESHD Patients

    Authors: huizheng zhang; xiaoying wang; zongqiang fu; ming luo; zhen zhang; ke zhang; ying he; dongyong wan; liwen zhang; jing wang; xiaofeng yan; mei han; yaokai chen

    doi:10.1101/2020.03.20.20039818 Date: 2020-03-23 Source: medRxiv

    Objective Coronavirus disease 2019 MESHD ( COVID-19 MESHD) is an escalating global epidemic caused by SARS-CoV-2, with a high mortality in critical patients. Effective indicators for predicting disease severity in SARS-CoV-2 infected MESHD patients are urgently needed. MethodsIn this study, 43 COVID-19 MESHD patients admitted in Chongqing Public Health Medical Center were involved. Demographic data, clinical features, and laboratory examinations were obtained through electronic medical records. Peripheral blood specimens were collected from COVID-19 MESHD patients and examined for lymphocyte subsets and cytokine profiles by flow cytometry. Potential contributing factors for prediction of disease severity were further analyzed. ResultsA total of 43 COVID-19 MESHD patients were included in this study, including 29 mild patients and 14 sever patients. Severe patients were significantly older (61.9{+/-}9.4 vs 44.4{+/-}15.9) and had higher incidence in co-infection MESHD with bacteria compared to mild group (85.7%vs27.6%). Significantly more severe patients had the clinical symptoms of anhelation (78.6%) and asthma MESHD (71.4%). For laboratory examination, 57.1% severe cases showed significant reduction in lymphocyte count. The levels of Interluekin-6 ( IL6 HGNC), IL10 HGNC, erythrocyte sedimentation rate (ESR) and D-Dimer (D-D) were significantly higher in severe patients than mild patients, while the level of albumin ( ALB HGNC) was remarkably lower in severe patients. Further analysis demonstrated that ESR, D-D, age, ALB HGNC and IL6 HGNC were the major contributing factors for distinguishing severe patients from mild patients. Moreover, ESR was identified as the most powerful factor to predict disease progression of COVID-19 MESHD patients. ConclusionAge and the levels of ESR, D-D, ALB HGNC and IL6 HGNC are closely related to the disease severity of COVID-19 MESHD patients. ESR can be used as a valuable indicator for distinguishing severe COVID-19 MESHD patients in early stage, so as to increase the survival of severe patients.

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MeSH Disease
HGNC Genes
SARS-CoV-2 Proteins

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