An Algorithm for Classifying Patients Most Likely to Develop Severe Coronavirus Disease 2019 Illness

OBJECTIVES: To develop an algorithm that predicts an individualized risk of severe coronavirus disease 2019 illness (i.e., ICU admission or death) upon testing positive for coronavirus disease 2019. DESIGN: A retrospective cohort study. SETTING: Cleveland Clinic Health System. PATIENTS: Those hospit...

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Detalles Bibliográficos
Autores principales: Kattan, Michael W., Ji, Xinge, Milinovich, Alex, Adegboye, Janet, Duggal, Abhijit, Dweik, Raed, Khouli, Hassan, Gordon, Steve, Young, James B., Jehi, Lara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Original Clinical Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746202/
https://www.ncbi.nlm.nih.gov/pubmed/33354674
http://dx.doi.org/10.1097/CCE.0000000000000300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746202/
https://www.ncbi.nlm.nih.gov/pubmed/33354674
http://dx.doi.org/10.1097/CCE.0000000000000300

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