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Association between Initial Chest CT or Clinical Features and Clinical Course in Patients with Coronavirus Disease 2019 Pneumonia

机译:患有冠状病毒疾病2019肺炎患者初始胸CT或临床特征与临床课程的关联

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OBJECTIVE:To identify the initial chest computed tomography (CT) findings and clinical characteristics associated with the course of coronavirus disease 2019 (COVID-19) pneumonia.MATERIALS AND METHODS:Baseline CT scans and clinical and laboratory data of 72 patients admitted with COVID-19 pneumonia (39 men, 46.2 ± 15.9 years) were retrospectively analyzed. Baseline CT findings including lobar distribution, presence of ground glass opacities, consolidation, linear opacities, and lung severity score were evaluated. The outcome event was recovery with hospital discharge. The time from symptom onset to discharge or the end of follow-up (for those remained hospitalized) was recorded. Data were censored in events such as death or discharge without recovery. Multivariable Cox proportional hazard regression was used to explore the association between initial CT, clinical or laboratory findings, and discharge with recovery, whereby hazard ratio (HR) values 4 vs. ≤ 4 [reference]: adjusted HR = 0.41 [95% confidence interval, CI = 0.18-0.92], p = 0.031) and initial lymphocyte count (reduced vs. normal or elevated [reference]: adjusted HR = 0.14 [95% CI = 0.03-0.60], p = 0.008) were two significant independent factors that influenced recovery and discharge.CONCLUSION:Lung severity score 4 and reduced lymphocyte count at initial evaluation were independently associated with a significantly lower rate of recovery and discharge and extended hospitalization in patients admitted for COVID-19 pneumonia.Copyright ? 2020 The Korean Society of Radiology.
机译:目的:鉴定初始胸部计算断层扫描(CT)调查结果及与冠状病毒疾病病程相关的临床特征2019(Covid-19)肺炎。材料和方法:72名患者的基线CT扫描和临床和实验室数据,患者录取了Covid-回顾性分析了19个肺炎(39人,46.2±15.9岁)。基线CT调节包括叶形分布,覆盖玻璃不透明度,固结,线性不透明度和肺严重程度评分的结果。结果事件随医院排放恢复。记录了从症状发作到排放或随访结束的时间(适用于住院治疗的时间)。数据在未经恢复的情况下在死亡或排放等事件中进行审查。使用多变量的Cox比例危害回归来探讨初始CT,临床或实验室发现之间的关联,并通过恢复排放,由此危害比(HR)值4与≤4[参考]:调整后的HR = 0.41 [95%置信区间,CI = 0.18-0.92],p = 0.031)和初始淋巴细胞计数(减少对正常或升高的[参考]:调整后的HR = 0.14 [95%CI = 0.03-0.60],P = 0.008)是两个重要的独立因素影响恢复和排放。结论:肺严重程度评分> 4次初始评估下的淋巴细胞计数降低独立相关,患者对Covid-19肺炎的患者的恢复和排放和延长住院率明显降低? 2020韩国放射学会。

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