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

José-Manuel Ramos-Rincón et al. Intern Emerg Med. 2023 Apr.

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.

Keywords: COVID-19; Hemogram-derived ratios; Mortality; Neutrophil-to-platelet ratio; Risk factors; Score; Spain.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Nomograms of the NPR model. SpO2 (%): oxygen saturation; NPR (high: > 3.0) neutrophil-to-platelet ratio; CRP (high: > 112 mg/L): C-reactive protein
Fig. 2
Fig. 2
Patient inclusion flowchart. CRP C-reactive protein; SpO2 oxygen saturation
Fig. 3
Fig. 3
AUC charts of the NPR RIM Score-COVID in the Spanish SEMI-COVID-19 Registry calculated for the total number of patients included (A) and for each time period (B, C, D). T1 first time period from February 1 to June 10, 2020 (B), T2 second time period from June 11 to 31 December 31, 2020 (C) T3 third time period from January 1 to December 5, 2021 (D); NPR, neutrophil-to-platelet ratio

References

    1. World Health Organization [Internet]. WHO Coronavirus Disease (COVID-19) Dashboard [Cited 2021 May]. Available from: https://covid19.who.int/
    1. Wu YC, Chen CS, Chan YJ. The outbreak of COVID-19: An overview. J Chin Med Assoc. 2020;83:217–220. doi: 10.1097/JCMA.0000000000000270. - DOI - PMC - PubMed
    1. Richardson S, Hirsch JS, Narasimhan M, Crawford JM, McGinn T, Davidson KW, et al. Presenting Characteristics, Comorbidities, and Outcomes among 5700 Patients Hospitalized with COVID-19 in the New York City Area. JAMA. 2020;323:2052–2059. doi: 10.1001/jama.2020.6775. - DOI - PMC - PubMed
    1. Casas-Rojo JM, Antón-Santos JM, Millán-Núñez-Cortés J, Umbreras-Bermejo C, Ramos-Rincón JM, Roy-Vallejo E, et al. Clinical characteristics of patients hospitalized with COVID-19 in Spain: Results from the SEMI-COVID-19 Registry. Rev Clin Esp. 2020;220:480–494. doi: 10.1016/j.rce.2020.07.003. - DOI - PMC - PubMed
    1. Hashmi HAS, Asif HM. Early Detection and Assessment of Covid-19. Front Med (Lausanne) 2020;7:311. doi: 10.3389/fmed.2020.00311. - DOI - PMC - PubMed