C-Reactive Protein as an Early Marker of Severity and Outcome in Patients with SARS-CoV-2 Infection

Abstract

Abstract Background SARS CoV-2 infection is a major cause of morbidity and mortality worldwide. The incidence of SARS CoV-2 infection is rising with millions of people getting infected daily. Mortality rate varies from a country to the other(0.3-6%), most of which are attributed to respiratory failure. Several studies have been performed to identify biomarkers for use in the early identification of patients at risk. Aim of the work This study was done to estimate and evaluate the plasma levels of CRP in patients with SARS CoV-2 and to study the association of CRP levels with severity of disease progression and prognosis of those patients. Patients and Methods This retrospective cohort study was conducted on 100 patients admitted to El-Obour Ain Shams University Specialized Hospital for Isolation during the period between January and October 2020. Results Regarding history patients whom were old or have any of the following comorbid conditons as hypertension, Diabetes mellitus, chronic liver disease and active cancer were statistically more prone to not surviving. Regarding complete blood picture, there was significant decrease in haemoglobin and or increase in total leukocytic count in those who did not survive. Serum Ferritin and D-Dimer were significantly high in those who did not survive. As regard CRP, it was significantly higher in the non-survivor group, Also it correlated with severity as ICU admission and need of respiratory support. Regarding the ROC curve result the best cut-off of CRP to predict mortality was >129mg/l, with Area under the curve = 0.981, Sensitivity = 90.91%, Specificity= 97.75%, positive predictive value = 83.3% and negative predictive value =98.9%. Regarding the ROC curve result the best cut-off of CRP to predict need of respiratory support was >55.3mg/L, with Area under the curve = 0.976, Sensitivity = 100%, Specificity= 86.21%, positive predictive value = 52.0% and negative predictive value =100.0%. Regarding the ROC curve result the best cut-off of CRP to predict need of ICU admission was >55.3mg/L, with Area under the curve = 0.987, Sensitivity = 100.0%, Specificity= 93.75%, positive predictive value = 80.0% and negative predictive value =100.0%. Conclusion Laboratory and clinical medicine groups should actively collaborate and optimize their individual expertise to potentially prove standardized biomarkers assays that will optimize patient care.