biostudies-literatureUnknown11(4)Incerti D<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.<h4BMJ opene047121https://www.ebi.ac.uk/biostudies/studies/S-EPMC8029269biostudies-literaturePrognostic model to identify and quantify risk factors for mortality among hospitalised patients with COVID-19 in the USA.PMC8029269Incerti DYau VLi XKeebler DLindsay LRizzo SChia JTsai LfalsePrognostic model to identify and quantify risk factors for mortality among hospitalised patients with COVID-19 in the USA.<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.<h42021-01-01T00:00:00Z2021 Apr2025-04-19T03:00:37.333Z2022-02-09T14:16:30.869ZS-EPMC80292693382784810.1136/bmjopen-2020-047121