The role of CT in assessing and plotting viral pulmonary affection land marking is its potential among other investigation tools, and the aim of the study was to compare the ability of two different CT-based scoring systems in discriminating severe COVID-19 disease. Retrospective comparative study included 142 confirmed COVID-19 patients by real-time polymerase chain reaction (RT-PCR) test, with different degrees of disease (mild to severe), the data of patients collected from medical records, and patients with their first CT chest read for calculating CO-RADS and severity scoring system (CT-SS) score. The patients with severe COVID-19 disease were significantly older and had different comorbidities. The level of C-reactive protein, ESR, ferritin, and LDH were significantly higher in severe disease, P < 0.001. The ability of CT chest and its score bases (CT-SS and CO-RADS) were accurate in differentiation between mild/moderate and severe disease; AUC were 89% and 97%, respectively. The cutoff value of less than 7.5 and 4.5 for CT-SS and CO-RADS, respectively, can rule out severe COVID-19 by 90% and 97%, respectively. CT chest play a segregate role in COVID-19 disease, add on an advantage in clinical data in triage, and highlight the decision of hospital admission.

中文翻译：

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预测严重COVID-19患者的CO-RADS与CT-SS评分：回顾性比较研究

在其他调查工具中，CT在评估和绘制病毒性肺部感染土地标记中的作用是其潜力，该研究的目的是比较两种基于CT的评分系统区分严重COVID-19疾病的能力。回顾性比较研究包括142例通过实时聚合酶链反应（RT-PCR）测试确诊的COVID-19患者，其疾病程度不同（轻度至重度），从医疗记录中收集的患者数据以及首次进行CT检查的患者胸部阅读以计算CO-RADS和严重程度评分系统（CT-SS）得分。患有严重COVID-19疾病的患者年龄较大，并有不同的合并症。在严重疾病中，C反应蛋白，ESR，铁蛋白和LDH的水平显着升高，P <0.001。CT胸部的能力及其得分基础（CT-SS和CO-RADS）在区分轻度/中度和重度疾病方面准确无误。AUC分别为89％和97％。CT-SS和CO-RADS的临界值分别小于7.5和4.5，可以分别将严重的COVID-19排除90％和97％。CT胸部在COVID-19疾病中起隔离作用，在分流的临床数据中具有优势，并突出了入院的决定。