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Published in: Internal and Emergency Medicine 3/2023

21-01-2023 | Vaccination | EM - ORIGINAL

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

Authors: José-Manuel Ramos-Rincón, Paula Sol Ventura, José-Manuel Casas-Rojo, Marc Mauri, Carlos Lumbreras Bermejo, 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, Marcos Guzmán García, 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, for the SEMI-COVID-19 Network

Published in: Internal and Emergency Medicine | Issue 3/2023

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Abstract

The 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.
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Metadata
Title
Validation of the RIM Score-COVID in the Spanish SEMI-COVID-19 Registry
Authors
José-Manuel Ramos-Rincón
Paula Sol Ventura
José-Manuel Casas-Rojo
Marc Mauri
Carlos Lumbreras Bermejo
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
Marcos Guzmán García
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
for the SEMI-COVID-19 Network
Publication date
21-01-2023
Publisher
Springer International Publishing
Published in
Internal and Emergency Medicine / Issue 3/2023
Print ISSN: 1828-0447
Electronic ISSN: 1970-9366
DOI
https://doi.org/10.1007/s11739-023-03200-3

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