Repositorio Institucional de la Universidad Alfonso X el Sabio

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

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APA

López Escobar, Alejandro & Ramos Rincón, José Manuel & Sol Ventura, Paula & Casas Rojo, José Manuel & Marc, Mauri .Validation of the RIM Score-COVID in the Spanish SEMI-COVID-19 Registry.

ISO 690

López Escobar, Alejandro & Ramos Rincón, José Manuel & Sol Ventura, Paula & Casas Rojo, José Manuel & Marc, Mauri. Validation of the RIM Score-COVID in the Spanish SEMI-COVID-19 Registry.

https://hdl.handle.net/20.500.12080/44584
dc.contributor.author López Escobar, Alejandro
dc.contributor.author Ramos Rincón, José Manuel
dc.contributor.author Sol Ventura, Paula
dc.contributor.author Casas Rojo, José Manuel
dc.contributor.author Marc, Mauri
dc.date.accessioned 2024-10-17T16:52:40Z
dc.date.available 2024-10-17T16:52:40Z
dc.date.created 2023
dc.identifier.uri https://hdl.handle.net/20.500.12080/44584
dc.description.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. es_ES
dc.format application/pdf es_ES
dc.language eng es_ES
dc.rights CC-BY es_ES
dc.rights.uri http://creativecommons.org/licenses/by/4.0/deed.es es_ES
dc.source Internal and Emergency Medicine es_ES
dc.title Validation of the RIM Score-COVID in the Spanish SEMI-COVID-19 Registry es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.rights.accessrights info:eu-repo/semantics/openAccess es_ES
dc.identifier.location N/A es_ES


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