Usefulness of the COVID-GRAM and CURB-65 scores for predicting severity in patients with COVID-19

Aim: The aim of this study was to determine the usefulness of COVID-GRAM and CURB-65 scores as predictors of the severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in Caucasian patients. Methods: This was a retrospective observational study including all adults with S...

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Detalles Bibliográficos
Autores: Armiñanzas Castillo, Carlos|||0000-0001-9009-7552, Arnáiz de las Revillas Almajano, Francisco|||0000-0002-0611-6309, Gutiérrez Cuadra, Manuel, Arnaiz García, Ana María, Fernández Sampedro, Marta, González Rico, Claudia, Ferrer Pargada, Diego, Mora Cuesta, Víctor Manuel|||0000-0002-8161-0462, Suberviola, Borja, Latorre, Maite, Calvo, Jorge, Olmos Martínez, José Manuel, Cifrián Martínez, José Manuel, Fariñas Álvarez, María del Carmen
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/24459
Acceso en línea:http://hdl.handle.net/10902/24459
Access Level:acceso abierto
Palabra clave:Coronavirus
COVID
CURB-65
COVID-GRAM
Severity score
Descripción
Sumario:Aim: The aim of this study was to determine the usefulness of COVID-GRAM and CURB-65 scores as predictors of the severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in Caucasian patients. Methods: This was a retrospective observational study including all adults with SARS-CoV-2 infection admitted to Hospital Universitario Marqués de Valdecilla from February to May 2020. Patients were stratified according to COVID-GRAM and CURB-65 scores as being at low-medium or high risk of critical illness. Univariate analysis, multivariate logistic regression models, receiver operating characteristic curve, and area under the curve (AUC) were calculated. Results: A total of 523 patients were included (51.8% male, 48.2% female; mean age 65.63 years (standard deviation 17.89 years)), of whom 110 (21%) presented a critical illness (intensive care unit admission 10.3%, 30-day mortality 13.8%). According to the COVID-GRAM score, 122 (23.33%) patients were classified as high risk; 197 (37.7%) presented a CURB-65 score ?2. A significantly greater proportion of patients with critical illness had a high COVID-GRAM score (64.5% vs 30.5%; P < 0.001). The COVID-GRAM score emerged as an independent predictor of critical illness (odds ratio 9.40, 95% confidence interval 5.51-16.04; P < 0.001), with an AUC of 0.779. A high COVID-GRAM score showed an AUC of 0.88 for the prediction of 30-day mortality, while a CURB-65 ?2 showed an AUC of 0.83. Conclusions: The COVID-GRAM score may be a useful tool for evaluating the risk of critical illness in Caucasian patients with SARS-CoV-2 infection. The CURB-65 score could be considered as an alternative.

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