Logo image
Back
Validation of the RIM Score-COVID in the Spanish SEMI-COVID-19 Registry
Journal article   Open access   Peer reviewed

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, Carlos Lumbreras Bermejo, Aitor Ortiz de Latierro, Manuel Rubio-Rivas, Luis Mérida-Rodrigo, Lucia Pérez-Casado, María Barrientos-Guerrero, …
Internal and emergency medicine, pp 1-9
21 Jan 2023
DOI: https://doi.org/10.1007/s11739-023-03200-3
PMID: 36680737
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1007/s11739-023-03200-3View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze),  Open

Abstract

COVID-19 EM - Original Hemogram-derived ratios Mortality Neutrophil-to-platelet ratio Risk factors Score Spain
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.

Metrics

17 Record Views
2 citations in Web of Science
2 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
Web of Science research areas
Medicine, General & Internal
Logo image