Using Trajectories of Bedside Vital Signs to Identify COVID-19 Subphenotypes.

Bhavani, Sivasubramanium V; Robichaux, Chad; Verhoef, Philip A; Churpek, Matthew M; Coopersmith, Craig M

Bhavani, Sivasubramanium V; Robichaux, Chad; Verhoef, Philip A; Churpek, Matthew M; Coopersmith, Craig M.

Afiliação

Bhavani SV; Department of Medicine, Emory University, Atlanta, GA; Emory Critical Care Center, Atlanta, GA. Electronic address: sbhava2@emory.edu.
Robichaux C; Department of Biomedical Informatics, Emory University, Atlanta, GA.
Verhoef PA; Department of Medicine, University of Hawaii John A. Burns School of Medicine, Honolulu, HI; Hawaii Permanente Medical Group, Honolulu, HI.
Churpek MM; Department of Medicine, University of Wisconsin, Madison, WI.
Coopersmith CM; Emory Critical Care Center, Atlanta, GA; Department of Surgery, Emory University, Atlanta, GA.

Chest ; 165(3): 529-539, 2024 Mar.

Article em En | MEDLINE | ID: mdl-37748574

Assuntos

COVID-19; Adulto; Humanos; COVID-19/diagnóstico; COVID-19/terapia; Biomarcadores; Respiração Artificial; Frequência Cardíaca; Sinais Vitais

Palavras-chave

COVID-19; phenotypes; subphenotypes; trajectory; vital signs

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

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