Corpus overview


Overview

MeSH Disease

COVID-19 (1)

Fever (1)

Fatigue (1)

Diarrhea (1)

Dyspnea (1)


Human Phenotype

Cough (1)

Fever (1)

Fatigue (1)

Diarrhea (1)

Dyspnea (1)


Transmission

Seroprevalence

There are no seroprevalence terms in the subcorpus

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    Prediction Model of Severe Coronavirus Disease MESHD Coronavirus Disease 2019 MESHD( COVID-19 MESHD) Cases Shows the Leading Risk Factor of Hypocalcemia HP Hypocalcemia MESHD

    Authors: Chenchan Hu; Feifei Su; Jianyi Dai; Shushu Lu; Lianpeng Wu; Dong Chen; Qifa Song; Fan Zhou

    doi:10.21203/rs.3.rs-41318/v1 Date: 2020-07-12 Source: ResearchSquare

    Background A striking characteristic of Coronavirus Disease 2019 MESHD( COVID-19 MESHD) is the coexistence of clinically mild and severe cases. A comprehensive analysis of multiple risk factors predicting progression to severity is clinically meaningful. Methods The patients were classified into moderate and severe groups. The univariate regression analysis was used to identify their epidemiological and clinical features related to severity, which were used as possible risk factors and were entered into a forward-stepwise multiple logistic regression analysis to develop a multiple factor prediction model for the severe cases.Results 255 patients (mean age TRANS, 49.1±SD 14.6) were included, consisting of 184 (72.2%) moderate cases and 71 (27.8%) severe cases. The common symptoms were dry cough HP (78.0%), sputum (62.7%), and fever HP fever MESHD (59.2%). The less common symptoms were fatigue HP fatigue MESHD (29.4%), diarrhea MESHD diarrhea HP (25.9%), and dyspnea HP dyspnea MESHD (20.8%). The univariate regression analysis determined 23 possible risk factors. The multiple logistic regression identified seven risk factors closely related to the severity of COVID-19 MESHD, including dyspnea HP dyspnea MESHD, exposure history in Wuhan, CRP (C-reactive protein), aspartate aminotransferase (AST), calcium, lymphocytes, and age TRANS. The probability model for predicting the severe COVID-19 MESHD was P=1/1+exp (-1.78+1.02×age+1.62×high- transmission TRANS-setting-exposure +1.77× dyspnea MESHD+1.54×CRP+1.03×lymphocyte+1.03×AST+1.76×calcium). Dyspnea HP Dyspnea MESHD (OR=5.91) and hypocalcemia HP hypocalcemia MESHD (OR=5.79) were the leading risk factors, followed by exposure to a high- transmission TRANS setting (OR=5.04), CRP (OR=4.67), AST (OR=2.81), decreased lymphocyte count (OR=2.80), and age TRANS (OR=2.78). Conclusions This quantitative prognosis prediction model can provide a theoretical basis for the early formulation of individualized diagnosis and treatment programs and prevention of severe diseases.

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).
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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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