| Autor: |
Berenguer, Juan, Borobia, Alberto M., Ryan, Pablo, Rodríguez-Baño, Jesús, Bellón, Jose M., Jarrín, Inmaculada, Carratalà, Jordi, Pachón, Jerónimo, Carcas, Antonio J., Yllescas, María, Arribas, José R., COVID-19@Spain and COVID@HULP Study Groups |
| Předmět: |
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| Zdroj: |
Thorax; Sep2021, Vol. 76 Issue 9, p920-929, 10p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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