Ontology highlight
ABSTRACT: Background
ICU patients undergoing invasive mechanical ventilation experience cognitive decline associated with their critical illness and its management. The early detection of different cognitive phenotypes might reveal the involvement of diverse pathophysiological mechanisms and help to clarify the role of the precipitating and predisposing factors. Our main objective is to identify cognitive phenotypes in critically ill survivors 1 month after ICU discharge using an unsupervised machine learning method, and to contrast them with the classical approach of cognitive impairment assessment. For descriptive purposes, precipitating and predisposing factors for cognitive impairment were explored.Methods
A total of 156 mechanically ventilated critically ill patients from two me
SUBMITTER: Fernandez-Gonzalo S
PROVIDER: S-EPMC7579874 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature