Article
Machine learning derivation of four computable 24-h pediatric sepsis phenotypes to facilitate enrollment in early personalized anti-inflammatory clinical trials.
Critical care (London, England) - 7 May 2022
Qin Yidi, Kernan Kate F, Fan Zhenjiang, Park Hyun-Jung, Kim Soyeon, Canna Scott W, Kellum John A, Berg Robert A, Wessel David, Pollack Murray M, Meert Kathleen, Hall Mark, Newth Christopher, Lin John C, Doctor Allan, Shanley Tom, Cornell Tim, Harrison Rick E, Zuppa Athena F, Banks Russell, Reeder Ron W, Holubkov Richard, Notterman Daniel A, Michael Dean J, Carcillo Joseph A
Abstract excerpt
BACKGROUND: Thrombotic microangiopathy-induced thrombocytopenia-associated multiple organ failure and hyperinflammatory macrophage activation syndrome are important causes of late pediatric sepsis mortality that are often missed or have delayed diagnosis. The National Institutes of General Medical Science sepsis research working group recommendations call for application of new research approaches in extant...
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