Identification of distinct clinical phenotypes in mechanically ventilated patients with acute brain dysfunction using cluster analysis.

ABSTRACT: Acute brain dysfunction (ABD) is a frequent and severe syndrome occurring in critically ill patients and early identification of high-risk patients is paramount. In the present analysis, we propose a clinically applicable model for early phenotype identification of ABD at the bedside in mechanically ventilated patients, improving the recognition of patients with prolonged ABD.Prospective cohort with 629 mechanically ventilated patients in two medical-surgical intensive care units at academic centers. We applied cluster analysis to identify phenotypes using clinical and biological data. We then tested the association of phenotypes and its respective clinical outcomes. We performed a validation on a new cohort of patients select on subsequent patients admitted to the participants intensive c

SUBMITTER: Souza-Dantas VC 

PROVIDER: S-EPMC7440320 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature