Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/180349
Title: Development and validation of a prediction model for 30-day mortality in hospitalised patients with COVID-19: the COVID-19 SEIMC score.
Author: Berenguer, J. (Joaquín Berenguer Lapuerta)
Borobia, Alberto M.
Ryan, Pablo
Rodríguez Baño, Jesús
Bellón, José M.
Jarrín Vera, Inmaculada
Carratalà, Jordi
Pachón, Jerónimo
Carcas Sansuán, Antonio J.
Yllescas, María
Arribas, José Ramón
Smithson Amat, Alejandro
COVID-19 Spain Study Group
COVID HULP Study Group
Keywords: COVID-19
Teoria de la predicció
Diagnòstic
COVID-19
Prediction theory
Diagnosis
Issue Date: 25-Feb-2021
Publisher: BMJ Publishing Group
Abstract: Participants: Derivation (DC) and external validation (VC) cohorts were obtained from multicentre and single-centre databases, including 4035 and 2126 patients with confirmed COVID-19, respectively. Interventions: Prognostic variables were identified using multivariable logistic regression. Main outcome measures: 30-day mortality. Results: Patients' characteristics in the DC and VC were median age 70 and 61 years, male sex 61.0% and 47.9%, median time from onset of symptoms to admission 5 and 8 days, and 30-day mortality 26.6% and 15.5%, respectively. Age, low age-adjusted saturation of oxygen, neutrophil-to-lymphocyte ratio, estimated glomerular filtration rate by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation, dyspnoea and sex were the strongest predictors of mortality. Calibration and discrimination were satisfactory with an area under the receiver operating characteristic curve with a 95% CI for prediction of 30-day mortality of 0.822 (0.806-0.837) in the DC and 0.845 (0.819-0.870) in the VC. A simplified score system ranging from 0 to 30 to predict 30-day mortality was also developed. The risk was considered to be low with 0-2 points (0%-2.1%), moderate with 3-5 (4.7%-6.3%), high with 6-8 (10.6%-19.5%) and very high with 9-30 (27.7%-100%). Conclusions: A simple prediction score, based on readily available clinical and laboratory data, provides a useful tool to predict 30-day mortality probability with a high degree of accuracy among hospitalised patients with COVID-19.
Note: Reproducció del document publicat a: https://doi.org/10.1136/thoraxjnl-2020-216001
It is part of: Thorax, 2021, vol. 76, num. 9, p. 920-929
URI: http://hdl.handle.net/2445/180349
Related resource: https://doi.org/10.1136/thoraxjnl-2020-216001
ISSN: 0040-6376
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
Articles publicats en revistes (Medicina)

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