The novel coronavirus disease 2019 (COVID-19) has heterogenous clinical courses, indicating that there might be distinct subphenotypes in critically ill patients. Although prior research has identified these subphenotypes, the temporal pattern of multiple clinical features has not been considered in cluster models. We aimed to identify temporal subphenotypes in critically ill patients with COVID-19 using a novel sequence cluster analysis and associate them with clinically relevant outcomes.
Author(s): Oh, Wonsuk, Jayaraman, Pushkala, Sawant, Ashwin S, Chan, Lili, Levin, Matthew A, Charney, Alexander W, Kovatch, Patricia, Glicksberg, Benjamin S, Nadkarni, Girish N
DOI: 10.1093/jamia/ocab252