Ontology highlight
ABSTRACT: Objective
To model the risk of admitting silent COVID-19-infected patients to surgery with subsequent risk of severe pulmonary complications and mortality.Summary background data
With millions of operations cancelled during the COVID-19 pandemic, pressure is mounting to reopen and increase surgical activity. The risk of admitting patients who have silent SARS-Cov-2 infection to surgery is not well investigated, but surgery on patients with COVID-19 is associated with poor outcomes. We aimed to model the risk of operating on nonsymptomatic infected individuals and associated risk of perioperative adverse outcomes and death.Methods
We developed 2 sets of models to evaluate the risk of admitting silent COVID-19-infected patients to surgery. A static model let the under
SUBMITTER: Soreide K
PROVIDER: S-EPMC7805555 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature