Abstract

Late in 2019 a new pandemic was caused by a novel coronavirus which was later named as Covid-19 by WHO. Regarding the unknown behavior of the disease finding some predicting factors was important so it could be possible to curb the mortality and morbidity risk of the disease. Later studies showed the important role of inflammatory factors in the process of the disease. In this retrospective, multicenter study, 1199 adult patients were randomly selected. Patients were divided to three main groups: Severe/Moderate, ICU add/Non- ICU add and Expired/Alive. The clinical data (including heart rate, respiratory rate, systolic blood pressure and diastolic blood pressure) and the laboratory findings (including NLR, PLR, D-dimer, Troponin, and CRP) of their first date of admission were studied from their documents. The mean of each factor was compared within each group and the binary logistic regression was done for each factor. ROC curves were drawn separately based on the results of the binary logistic regression analysis (P-value<0.05). Out of 1199 patients, 908 were in the severe group, 143 were ICU added and 144 were expired. Age and clinical factors were significantly higher (P-value=0.000) in the severe, ICU add, and expired groups. All the inflammatory factors were significantly higher in the severe group (P-value=0.000), were higher among ICU add patients with statistical significance of CRP, NLR, and PLR (P-value = 0.000, 0.000 and 0.001 respectively), and were higher in the expired group with the statistically significant difference in CRP, Troponin, NLR, and PLR (P-value=0.000).

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