Ontology highlight
ABSTRACT: Objective
To identify potential risk factors for adverse long-term outcomes (LTOs) associated with COVID-19, using a large electronic health record (EHR) database.Design
Retrospective cohort study. Patients with COVID-19 were assigned into subcohorts according to most intensive treatment setting experienced. Newly diagnosed conditions were classified as respiratory, cardiovascular or mental health LTOs at >30-≤90 or >90-≤180 days after COVID-19 diagnosis or hospital discharge. Multivariate regression analysis was performed to identify any association of treatment setting (as a proxy for disease severity) with LTO incidence.Setting
Optum deidentified COVID-19 EHR dataset drawn from hospitals and clinics across the USA.Participants
Individuals diagnosed with C
SUBMITTER: Jovanoski N
PROVIDER: S-EPMC9065767 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature