Rubio-Rivas, ManuelMora Luján, José MaríaFormiga Pérez, FrancescArévalo-Cañas, CoralLebrón Ramos, Juan ManuelVillalba García, María VictoriaFonseca Aizpuru, Eva MariaDíez Manglano, JesúsArnalich Fernández, FranciscoRomero Cabrera, Juan LuisGarcía García, Gema MaríaPesqueira Fontán, Paula MaríaVargas Núñez, Juan AntonioFreire Castro, Santiago JesúsLoureiro Amigo, JoséPascual Pérez, Maria de los ReyesAlcalá Pedrajas, José NicolásEncinas-Sánchez, DanielMella Pérez, CarmenEna, JavierGracia Gutiérrez, AnyuliEsteban Giner, María JoséVarona, José F.Millán Núñez-Cortés, JesúsCasas-Rojo, José Manuel2022-06-172022-06-172022-04-060884-8734https://hdl.handle.net/2445/186772Background: The WHO ordinal severity scale has been used to predict mortality and guide trials in COVID-19. However, it has its limitations. Objective The present study aims to compare three classificatory and predictive models: the WHO ordinal severity scale, the model based on inflammation grades, and the hybrid model. Design Retrospective cohort study with patient data collected and followed up from March 1, 2020, to May 1, 2021, from the nationwide SEMI-COVID-19 Registry. The primary study outcome was in-hospital mortality. As this was a hospital-based study, the patients included corresponded to categories 3 to 7 of the WHO ordinal scale. Categories 6 and 7 were grouped in the same category. Key Results A total of 17,225 patients were included in the study. Patients classified as high risk in each of the WHO categories according to the degree of inflammation were as follows: 63.8% vs. 79.9% vs. 90.2% vs. 95.1% (p<0.001). In-hospital mortality for WHO ordinal scale categories 3 to 6/7 was as follows: 0.8% vs. 24.3% vs. 45.3% vs. 34% (p<0.001). In-hospital mortality for the combined categories of ordinal scale 3a to 5b was as follows: 0.4% vs. 1.1% vs. 11.2% vs. 27.5% vs. 35.5% vs. 41.1% (p<0.001). The predictive regression model for in-hospital mortality with our proposed combined ordinal scale reached an AUC=0.871, superior to the two models separately. Conclusions The present study proposes a new severity grading scale for COVID-19 hospitalized patients. In our opinion, it is the most informative, representative, and predictive scale in COVID-19 patients to date.8 p.application/pdfengcc by-nc-nd (c) Rubio-Rivas, Manuel et al., 2022https://creativecommons.org/licenses/by-nc-nd/4.0/COVID-19Pronòstic mèdicInflamacióMortalitatCOVID-19PrognosisInflammationMortalityinfo:eu-repo/semantics/article7238052022-06-17info:eu-repo/semantics/openAccess35396659