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

2021; Elsevier BV; Volume: 27; Issue: 12 Linguagem: Inglês

10.1016/j.cmi.2021.07.006

1469-0691

Miguel Martínez-Lacalzada, Adrián Viteri-Noël, Luís Manzano, M. Fabregate, Manuel Rubio‐Rivas, Sara L. Garcia, Francisco Arnalich, José Luis Beato-Pérez, J.A. Vargas-Núñez, Elpidio Calvo-Manuel, A. Espiño-Álvarez, Santiago Freire-Castro, José Loureiro-Amigo, Paula María Pesqueira Fontán, Adela Pina, Ana María Álvarez Suárez, Andrea Silva-Asiain, Beatriz García López, Jairo Luque del Pino, Jaime Sanz‐Cánovas, Paloma Chazarra-Pérez, Gema-María García-García, Jesús Millán Núñez-Cortés, José Manuel Casas‐Rojo, Ricardo Gómez‐Huelgas, Luis F. Abrego-Vaca, Ana Andreu-Arnanz, Octavio A. Arce-García, Marta Bajo-González, Pablo Borque-Sanz, Alberto Cózar-Llistó, Beatriz Del Hoyo-Cuenda, Alejandra Gamboa-Osorio, Isabel Sánchez, Óscar A. López-Cisneros, Borja Merino-Ortiz, Elisa Riera-González, Jimena Rey-García, Cristina Sánchez-Díaz, Grisell Starita-Fajardo, Cecilia Suárez Carantoña, Svetlana Zhilina Zhilina,

COVID-19 diagnosis using AI

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.