Predicting critical illness on initial diagnosis of COVID-19 based on easily obtained clinical variables: development and validation of the PRIORITY model

OBJECTIVES: We aimed to develop and validate a prediction model, based on clinical history and examination findings on initial diagnosis of coronavirus disease 2019 (COVID-19), to identify patients at risk of critical outcomes. METHODS: We used data from the SEMI-COVID-19 Registry, a cohort of conse...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Clin Microbiol Infect
Κύριοι συγγραφείς: Martínez-Lacalzada, Miguel, Viteri-Noël, Adrián, Manzano, Luis, Fabregate, Martin, Rubio-Rivas, Manuel, Luis García, Sara, Arnalich-Fernández, Francisco, Beato-Pérez, José Luis, Vargas-Núñez, Juan Antonio, Calvo-Manuel, Elpidio, Espiño-Álvarez, Alexia Constanza, Freire-Castro, Santiago J., Loureiro-Amigo, Jose, Pesqueira Fontan, Paula Maria, Pina, Adela, Álvarez Suárez, Ana María, Silva-Asiain, Andrea, García-López, Beatriz, Luque del Pino, Jairo, Sanz-Cánovas, Jaime, Chazarra-Pérez, Paloma, García-García, Gema María, Núñez-Cortés, Jesús Millán, Casas-Rojo, José Manuel, Gómez-Huelgas, Ricardo
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: The Authors. Published by Elsevier Ltd on behalf of European Society of Clinical Microbiology and Infectious Diseases. 2021
Θέματα:
Original Article
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8280376/
https://ncbi.nlm.nih.gov/pubmed/34274525
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cmi.2021.07.006
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