The Relationship Between Computed Tomography Score of Showing Disease Severity and Laboratory Parameters in Covid-19 Pneumonia

Objective: We aimed to predict the distinction between mild and severe Covid-19 pneumonia by using computerized tomography (CT) and laboratory system. Methods:Our study was planned retrospectively.Our study included 587 patients, 263 (44.8%) women and 324 (55.2%) men, who applied to the emergency department.Hemogram and biochemistry parameters were used.The Chest CT Severity Score (CT score) was calculated for each patient's lung involvement (0: No involvement, 1: 0%-25%; 2: 26%-50%; 3: 51%-75%; 4: 76%-100%).A distinction was made between mild and severe Covid-19 pneumonia.Results: According to the logistic regression analysis, when the Hb and ALP values increase by 1 unit, the risk of high involvement is respectively; 9.4%(p=0.045)(OR=0.906) and 0.8% (p=0.010)(OR=0.992) will decrease.When ALT and CRP values increase by 1 unit, the risk of high involvement is respectively; It will increase by 1% (p=0.041)(OR=1.010) and 1.6% (p=0.000)(OR=1.016).In addition, as NLR, PLR, and AST/ALT ratios increase, the CT score will increase (r=0.226;p=0.000, r=0.163; p=0.000, r=0.209; p=0.000, respectively). Conclusion:CT score can be estimated using laboratory data that is quick and easy to access.We found that Hb, ALT, ALP and CRP values and CT score are predictable in Covid-19 cases.We think that our study will contribute to other studies on Covid-19 pneumonia.