11th International Virtual Seminar on COVID-19 Part II
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Accepted Abstracts

Establishment and Validation of a Risk Score for the Early Prediction of COVID-19 Severity

Salam Bennouar 1 , Abdelghani Bachir Cherif 1 , Amel Kessira 2 , Djamel-Eddine Bennouar 2 , Samia Abdi 1
1 University Hospital center of Blida, Algeria
2 University Hospital Center of Annaba, Algeria

Citation:  Bennouar S, Cherif AB, Kessira A, Bennouar DE, Abdi S (2020)  Establishment and Validation of a Risk Score for the Early Prediction of COVID-19 Severity. SciTech Central COVID-19

Received: October 12, 2020         Accepted: October 28, 2020         Published: October 29, 2020


Background and Aims: Coronavirus Disease 2019 is characterized by a spectrum of clinical severity ranging from asymptomatic to severe or even critical forms requiring intensive care services. In a previous published work we have identified six biological abnormalities as potential risk markers independently related to the severity: elevated urea nitrogen, elevated CRP, decreased natremia, decreased albumin, elevated LDH and elevated neutrophil to lymphocyte ratio. For a clinical convenience, this study aimed to establish a score system to identify high-risk individuals open admission, to validate this score in a separate cohort, but also to test its accuracy in the prediction of in- hospital mortality. Methods: In this is retrospective, single-center, cohort study, data from 330 SARS-CoV-2 infected patients, who were admitted at the University Hospital of Blida, Algeria, were used to establish a risk score system to predict progression toward severity. Then, the same score was tested to predict mortality in the same cohort. In a second stage, data from 240 additional COVID-19 patients were used to validate this score. Accuracy of the score was measured by the area under the receiver operating characteristic curve (AUC). Results: In the establishment cohort, a step-wise increase in the incidence of both severity and mortality was observed with the increment of the risk score (p<0.0001). Conversely, a progressive decrease in the average survival duration was noted with the increment of the risk score (p ANOVA <0.0001). A similar trend was confirmed when analyzing this association in the validation cohort (p<0.0001). The AUC in the validation cohort was 0.74 [0.66-0.82] and 0.90 [0.87-0.94], p<0.0001, respectively for severity and mortality prediction. Conclusion: This study provides a useful risk score based on biological routine parameters assessed at the time of admission, which has proven its effectiveness in predicting both severity and short-term mortality of COVID-19

Keywords: COVID-19, Risk score, Biomarkers, Severe COVID- 19, Short-term mortality.