The Washington University Office of Sponsored Research Services has been awarded a $737,815 Project Grant from the National Heart, Lung, and Blood Institute (CFDA 93.837 Cardiovascular Diseases Research) to develop an automated electronic health record (EHR) system for classifying molecular phenotypes of critical illnesses like acute respiratory distress syndrome (ARDS) and sepsis. The primary objectives are to:
Evaluate phenotype transitions and the performance of a machine learning Clinical Classifier Model (CCM) in identifying molecular phenotypes over time using data from previous ARDS and sepsis studies.
Develop and validate the EHR-embedded CCM system to enable rapid bedside classification of the ARDS and sepsis molecular phenotypes in real-time.
Conduct comprehensive analyses of phenotype-specific hospital trajectories and outcomes in a large cohort to inform the design of future phenotype-enriched clinical trials.
This project aims to harness the clinical potential of molecular phenotyping to enable precision medicine approaches in critical care, paving the way for more effective, targeted interventions for ARDS and sepsis patients.