{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11(4)"],"submitter":["Incerti D"],"pubmed_abstract":["<h4>Objectives</h4>To develop a prognostic model to identify and quantify risk factors for mortality among patients admitted to the hospital with COVID-19.<h4>Design</h4>Retrospective cohort study. Patients were randomly assigned to either training (80%) or test (20%) sets. The training set was used to fit a multivariable logistic regression. Predictors were ranked using variable importance metrics. Models were assessed by C-indices, Brier scores and calibration plots in the test set.<h4>Setting</h4>Optum de-identified COVID-19 Electronic Health Record dataset including over 700 hospitals and 7000 clinics in the USA.<h4>Participants</h4>17 086 patients hospitalised with COVID-19 between 20 February 2020 and 5 June 2020.<h4>Main outcome measure</h4>All-cause mortality while hospitalised.<h4"],"journal":["BMJ open"],"pagination":["e047121"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8029269"],"repository":["biostudies-literature"],"pubmed_title":["Prognostic model to identify and quantify risk factors for mortality among hospitalised patients with COVID-19 in the USA."],"pmcid":["PMC8029269"],"pubmed_authors":["Incerti D","Yau V","Li X","Keebler D","Lindsay L","Rizzo S","Chia J","Tsai L"],"additional_accession":[]},"is_claimable":false,"name":"Prognostic model to identify and quantify risk factors for mortality among hospitalised patients with COVID-19 in the USA.","description":"<h4>Objectives</h4>To develop a prognostic model to identify and quantify risk factors for mortality among patients admitted to the hospital with COVID-19.<h4>Design</h4>Retrospective cohort study. Patients were randomly assigned to either training (80%) or test (20%) sets. The training set was used to fit a multivariable logistic regression. Predictors were ranked using variable importance metrics. Models were assessed by C-indices, Brier scores and calibration plots in the test set.<h4>Setting</h4>Optum de-identified COVID-19 Electronic Health Record dataset including over 700 hospitals and 7000 clinics in the USA.<h4>Participants</h4>17 086 patients hospitalised with COVID-19 between 20 February 2020 and 5 June 2020.<h4>Main outcome measure</h4>All-cause mortality while hospitalised.<h4","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Apr","modification":"2025-04-19T03:00:37.333Z","creation":"2022-02-09T14:16:30.869Z"},"accession":"S-EPMC8029269","cross_references":{"pubmed":["33827848"],"doi":["10.1136/bmjopen-2020-047121"]}}