Ontology highlight
ABSTRACT: Objectives
Delirium is a common and frequently underdiagnosed complication in acutely hospitalized patients, and its severity is associated with worse clinical outcomes. We propose a physiologically based method to quantify delirium severity as a tool that can help close this diagnostic gap: the Electroencephalographic Confusion Assessment Method Severity Score (E-CAM-S).Design
Retrospective cohort study.Setting
Single-center tertiary academic medical center.Patients
Three-hundred seventy-three adult patients undergoing electroencephalography to evaluate altered mental status between August 2015 and December 2019.Interventions
None.Measurements and main results
We developed the E-CAM-S based on a learning-to-rank machine learning model of for
SUBMITTER: van Sleuwen M
PROVIDER: S-EPMC8678335 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature