• Intern Emerg Med · Apr 2023

    Validation of the RIM Score-COVID in the Spanish SEMI-COVID-19 Registry.

    • José-Manuel Ramos-Rincón, Paula Sol Ventura, José-Manuel Casas-Rojo, Marc Mauri, BermejoCarlos LumbrerasCLInternal Medicine Department, Doce de, Octubre University Hospital, Madrid, Spain., Aitor Ortiz de Latierro, Manuel Rubio-Rivas, Luis Mérida-Rodrigo, Lucia Pérez-Casado, María Barrientos-Guerrero, Vicente Giner-Galvañ, Cristina Gallego-Lezaun, Almudena Hernández Milián, Luis Manzano, Julio César Blázquez-Encinar, Marta Nataya Solís-Marquínez, GarcíaMarcos GuzmánMGH. San Juan de La Cruz. Úbeda, Jaén, Spain., Julia Lobo-García, Victoria Achával-Rodríguez Valente, Celia Roig-Martí, Marta León-Téllez, Pablo Tellería-Gómez, María Jesús González-Juárez, Ricardo Gómez-Huelgas, Alejandro López-Escobar, and SEMI-COVID-19 Network.
    • Clinical Medicine Department, Miguel Hernandez University of Elche, 03550, Alicante, Spain.
    • Intern Emerg Med. 2023 Apr 1; 18 (3): 907915907-915.

    AbstractThe significant impact of COVID-19 worldwide has made it necessary to develop tools to identify patients at high risk of severe disease and death. This work aims to validate the RIM Score-COVID in the SEMI-COVID-19 Registry. The RIM Score-COVID is a simple nomogram with high predictive capacity for in-hospital death due to COVID-19 designed using clinical and analytical parameters of patients diagnosed in the first wave of the pandemic. The nomogram uses five variables measured on arrival to the emergency department (ED): age, sex, oxygen saturation, C-reactive protein level, and neutrophil-to-platelet ratio. Validation was performed in the Spanish SEMI-COVID-19 Registry, which included consecutive patients hospitalized with confirmed COVID-19 in Spain. The cohort was divided into three time periods: T1 from February 1 to June 10, 2020 (first wave), T2 from June 11 to December 31, 2020 (second wave, pre-vaccination period), and T3 from January 1 to December 5, 2021 (vaccination period). The model's accuracy in predicting in-hospital COVID-19 mortality was assessed using the area under the receiver operating characteristics curve (AUROC). Clinical and laboratory data from 22,566 patients were analyzed: 15,976 (70.7%) from T1, 4,233 (18.7%) from T2, and 2,357 from T3 (10.4%). AUROC of the RIM Score-COVID in the entire SEMI-COVID-19 Registry was 0.823 (95%CI 0.819-0.827) and was 0.834 (95%CI 0.830-0.839) in T1, 0.792 (95%CI 0.781-0.803) in T2, and 0.799 (95%CI 0.785-0.813) in T3. The RIM Score-COVID is a simple, easy-to-use method for predicting in-hospital COVID-19 mortality that uses parameters measured in most EDs. This tool showed good predictive ability in successive disease waves.© 2023. The Author(s), under exclusive licence to Società Italiana di Medicina Interna (SIMI).

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