About: COVID-19 Mortality Risk Assessment: An International Multi-Center Study

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	COVID-19 Mortality Risk Assessment: An International Multi-Center Study
Creator	Bertsimas, Dimitris Carlos, ; Luca, ; Lukin, Galit Nohadani, Omid Orfanoudaki, Agni Pan, Angelo Stellato, Bartolomeo Wiberg, Holly Beccara, Bello, Dal Canino, Rosario Cisneros-Herreros, Miguel Covid-19 Study, Hellenic Estirado, Alberto José, ; Lia, ; Martina, ; Parra-Calderón, Luis Pezzetti, Federica Robinson, Kenneth Sara Gonzalez-Garcia, ; Schneider, Michelle Stein, ; The, ;
Source	MedRxiv
abstract	Background: Timely identification of COVID-19 patients at high risk of mortality can significantly improve patient management and resource allocation within hospitals. This study seeks to develop and validate a data-driven personalized mortality risk calculator for hospitalized COVID-19 patients. Methods: De-identified data was obtained for 3,927 COVID-19 positive patients from six independent centers, comprising 33 different hospitals. Demographic, clinical, and laboratory variables were collected at hospital admission. The COVID-19 Mortality Risk (CMR) tool was developed using the XGBoost algorithm to predict mortality. Its discrimination performance was subsequently evaluated on three validation cohorts. Findings: The derivation cohort of 3,062 patients has an observed mortality rate of 26.84%. Increased age, decreased oxygen saturation ([≤] 93%), elevated levels of C-reactive protein ([≥] 130 mg/L), blood urea nitrogen ([≥] 18 mg/dL), and blood creatinine ([≥] 1.2 mg/dL) were identified as primary risk factors, validating clinical findings. The model obtains out-of-sample AUCs of 0.90 (95% CI, 0.87-0.94) on the derivation cohort. In the validation cohorts, the model obtains AUCs of 0.92 (95% CI, 0.88-0.95) on Seville patients, 0.87 (95% CI, 0.84-0.91) on Hellenic COVID-19 Study Group patients, and 0.81 (95% CI, 0.76-0.85) on Hartford Hospital patients. The CMR tool is available as an online application at covidanalytics.io/mortality_calculator and is currently in clinical use. Interpretation: The CMR model leverages machine learning to generate accurate mortality predictions using commonly available clinical features. This is the first risk score trained and validated on a cohort of COVID-19 patients from Europe and the United States.
has issue date	2020-07-08(xsd:dateTime)
bibo:doi	10.1101/2020.07.07.20148304
has license	medrxiv
sha1sum (hex)	ad6fd460abd3cb548c234f19a4bb58af4301226a
schema:url	https://doi.org/10.1101/2020.07.07.20148304
resource representing a document's title	COVID-19 Mortality Risk Assessment: An International Multi-Center Study
resource representing a document's body	covid:ad6fd460abd3cb548c234f19a4bb58af4301226a#body_text
is schema:about of	named entity 'cohort' named entity 'COVID-19' named entity 'EUROPE' named entity 'DISEASE SEVERITY' named entity 'ARTICLES' named entity 'SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS 2' covid:arg/ad6fd460abd3cb548c234f19a4bb58af4301226a named entity 'disease' named entity 'However' named entity 'rich' named entity 'arXiv' named entity 'leveraged' named entity 'mortality' named entity 'COVID' named entity 'mortality risk' named entity 'Electronic Health Records' named entity 'arXiv' named entity 'MedRxiv' named entity 'single center' named entity 'Risk Assessment' named entity 'preprint' named entity 'binary classification' named entity 'medRxiv' named entity 'SCAP' named entity 'AST' named entity 'preprint' named entity 'COVID-19' named entity 'SHAP' named entity 'clinical features' named entity 'Europe' named entity 'nonlinear' named entity 'CC-BY 4.0 International license' named entity 'Seville' named entity 'CC-BY 4.0 International license' named entity 'risk factors' named entity 'laboratory test' named entity 'oxygen saturation' named entity 'study population' named entity 'Mortality Risk' named entity 'medRxiv' named entity 'glucose levels' named entity 'older patients' named entity 'XGBoost' named entity 'preprint' named entity 'Greece' named entity 'liver dysfunction' named entity 'mortality risk' named entity 'clinical characteristics' named entity 'diabetes' named entity 'oxygen saturation' named entity 'CC-BY 4.0 International license' named entity 'aspartate aminotransferase' named entity 'Hospital Universitario Virgen del Rocío' named entity 'Receiver operating characteristic' named entity 'SHAP' named entity 'platelet count' named entity '95% CI' named entity 'mortality risk' named entity 'peer review' named entity 'medRxiv' named entity 'preprint'

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