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ABSTRACT: Background
Delirium is a serious complication in patients with COVID-19-related acute respiratory distress syndrome (ARDS) admitted to the intensive care unit (ICU). Although numerous clinical risk factors have been identified, the immunologic pathways underlying delirium remain unclear. In this retrospective cohort study, we investigated high-dimensional immune signatures in ICU patients to delineate peripheral immune markers associated with delirium. We also explored machine learning (ML) approaches to enhance biomarker discovery and strengthen predictive modelling through synthetic data generation.Methods
We studied a cohort of 62 COVID-19 ARDS patients admitted to the ICU at Lausanne University Hospital, Switzerland. The primary analysis compared patients within this co
SUBMITTER: Born T
PROVIDER: S-EPMC12605842 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature