RT Journal Article SR Electronic T1 Development and validation of a prediction model for 30-day mortality in hospitalised patients with COVID-19: the COVID-19 SEIMC score JF Thorax JO Thorax FD BMJ Publishing Group Ltd and British Thoracic Society SP 920 OP 929 DO 10.1136/thoraxjnl-2020-216001 VO 76 IS 9 A1 Juan Berenguer A1 Alberto M Borobia A1 Pablo Ryan A1 Jesús Rodríguez-Baño A1 Jose M Bellón A1 Inmaculada Jarrín A1 Jordi Carratalà A1 Jerónimo Pachón A1 Antonio J Carcas A1 María Yllescas A1 José R Arribas A1 , YR 2021 UL http://thorax.bmj.com/content/76/9/920.abstract AB Objective To develop and validate a prediction model of mortality in patients with COVID-19 attending hospital emergency rooms.Design Multivariable prognostic prediction model.Setting 127 Spanish hospitals.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.All data relevant to the study are included in the article or uploaded as supplementary information.