Abstract
Establishment and Validation of a Risk Score for the Early Prediction of COVID-19 Severity
Salam Bennouar*, Abdelghani Bachir Cherif, Amel Kessira, Djamel-Eddine Bennouar and Samia Abdi
Corresponding Author: Salam Bennouar, Central Laboratory of Clinical Biology, Frantz Fanon Hospital, University Hospital Center of Blida, Algeria 9000
Accepted: December 12th, 2020
Citation: Bennouar S, Cherif AB, Kessira A, Bennouar D & Abdi S. (2020) Establishment and Validation of A Risk Score for the Early Prediction of COVID-19 Severity. J Infect Dis Res, 3(S3): 25.
Copyrights: ©2020 Bennouar S, Cherif AB, Kessira A, Bennouar D & Abdi S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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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 stepwise 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 (pANOVA<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