التفاصيل البيبلوغرافية
| العنوان: |
Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score). |
| المؤلفون: |
López-Escobar, Alejandro1 (AUTHOR) alopezescobar@hmhospitales.com, Madurga, Rodrigo2 (AUTHOR) rodrigo.madurga@ufv.es, Castellano, José María3 (AUTHOR) jmcastellano@fundacionhm.com, Velázquez, Sara4 (AUTHOR) sara.velazquezdiaz@usp.ceu.es, Suárez del Villar, Rafael5 (AUTHOR) rsuarezdelvillar@hmhospitales.com, Menéndez, Justo6 (AUTHOR) jmenendez@hmhospitales.com, Peixoto, Alejandro7 (AUTHOR) alejandro.peixoto@icloud.com, Jimeno, Sara8 (AUTHOR) sarajimeno@hotmail.com, Ventura, Paula Sol9 (AUTHOR) paulasolventura@hotmail.com, Ruiz de Aguiar, Santiago10 (AUTHOR) sruizdeaguiar@hmhospitales.com |
| المصدر: |
Diagnostics (2075-4418). Apr2021, Vol. 11 Issue 4, p596-596. 1p. |
| مصطلحات موضوعية: |
*COVID-19, *HOSPITAL mortality, *SARS-CoV-2, *NEUTROPHIL lymphocyte ratio, *BLOOD cell count |
| مستخلص: |
Infection by SARS-CoV2 has devastating consequences on health care systems. It is a global health priority to identify patients at risk of fatal outcomes. 1955 patients admitted to HM-Hospitales from 1 March to 10 June 2020 due to COVID-19, were were divided into two groups, 1310 belonged to the training cohort and 645 to validation cohort. Four different models were generated to predict in-hospital mortality. Following variables were included: age, sex, oxygen saturation, level of C-reactive-protein, neutrophil-to-platelet-ratio (NPR), neutrophil-to-lymphocyte-ratio (NLR) and the rate of changes of both hemogram ratios (VNLR and VNPR) during the first week after admission. The accuracy of the models in predicting in-hospital mortality were evaluated using the area under the receiver-operator-characteristic curve (AUC). AUC for models including NLR and NPR performed similarly in both cohorts: NLR 0.873 (95% CI: 0.849–0.898), NPR 0.875 (95% CI: 0.851–0.899) in training cohort and NLR 0.856 (95% CI: 0.818–0.895), NPR 0.863 (95% CI: 0.826–0.901) in validation cohort. AUC was 0.885 (95% CI: 0.885–0.919) for VNLR and 0.891 (95% CI: 0.861–0.922) for VNPR in the validation cohort. According to our results, models are useful in predicting in-hospital mortality risk due to COVID-19. The RIM Score proposed is a simple, widely available tool that can help identify patients at risk of fatal outcomes. [ABSTRACT FROM AUTHOR] |
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