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

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...

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Detalhes bibliográficos
Autores: Ramos-Rincon, Jose-Manuel, Ventura, Paula Sol, Casas-Rojo, Jose-Manuel, Mauri, Marc, Bermejo, Carlos Lumbreras, de Latierro, Aitor Ortiz, Rubio-Rivas, Manuel, Merida-Rodrigo, Luis, Perez-Casado, Lucia, Barrientos-Guerrero, Maria, Giner-Galvan, Vicente, Gallego-Lezaun, Cristina, Milian, Almudena Hernandez, Manzano, Luis, Blazquez-Encinar, Julio Cesar, Solis-Marquinez, Marta Nataya, Garcia, Marcos Guzman, Lobo-Garcia, Julia, Valente, Victoria Achaval-Rodriguez, Roig-Marti, Celia, Leon-Tellez, Marta, Telleria-Gomez, Pablo, Gonzalez-Juarez, Maria Jesus, Gomez-Huelgas, Ricardo, Lopez-Escobar, Alejandro
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2023
País:España
Recursos:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Repositório:r-FISABIO. Repositorio Institucional de Producción Científica
OAI Identifier:oai:fisabio.fundanetsuite.com:p14743
Acesso em linha:https://fisabio.portalinvestigacion.com/publicaciones/14743
Access Level:Acceso aberto
Palavra-chave:COVID-19
Neutrophil-to-platelet ratio
Hemogram-derived ratios
Risk factors
Mortality
Score
Spain
Descrição
Resumo: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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