Department of Radiology, Humanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy.
Department of Oncology, Humanitas Gavazzeni, Via Gavazzeni, 21, 24125, Bergamo, BG, Italy.
Eur J Radiol. 2021 Apr;137:109612. doi: 10.1016/j.ejrad.2021.109612. Epub 2021 Feb 26.
To evaluate the prognostic role of chest computed tomography (CT), alone or in combination with clinical and laboratory parameters, in COVID-19 patients during the first peak of the pandemic.
A retrospective single-center study of 301 COVID-19 patients referred to our Emergency Department (ED) from February 25 to March 29, 2020. At presentation, patients underwent chest CT and clinical and laboratory examinations. Outcomes included discharge from the ED after improvement/recovery (positive outcome), or admission to the intensive care unit or death (poor prognosis). A visual quantitative analysis was formed using two scores: the Pulmonary Involvement (PI) score based on the extension of lung involvement, and the Pulmonary Consolidation (PC) score based on lung consolidation. The prognostic value of CT alone or integrated with other parameters was studied by logistic regression and ROC analysis.
The impact of the CT PI score [≥15 vs. ≤ 6] on predicting poor prognosis (OR 5.71 95 % CI 1.93-16.92, P = 0.002) was demonstrated; no significant association was found for the PC score. Chest CT had a prognostic role considering the PI score alone (AUC 0.722) and when evaluated with demographic characteristics, comorbidities, and laboratory data (AUC 0.841). We, therefore, developed a nomogram as an easy tool for immediate clinical application.
Visual analysis of CT gives useful information to physicians for prognostic evaluations, even in conditions of COVID-19 emergency. The predictive value is increased by evaluating CT in combination with clinical and laboratory data.
评估胸部计算机断层扫描(CT)在 COVID-19 患者大流行期间的首次高峰期间的预后作用,单独或与临床和实验室参数相结合。
这是一项回顾性的单中心研究,纳入了 2020 年 2 月 25 日至 3 月 29 日期间因 COVID-19 被送往我院急诊科的 301 名患者。患者在就诊时接受了胸部 CT 和临床及实验室检查。结局包括在改善/康复后从急诊科出院(阳性结局)或转入重症监护病房或死亡(预后不良)。通过构建两个评分来进行视觉定量分析:基于肺受累程度的肺受累评分(PI 评分)和基于肺实变程度的肺实变评分(PC 评分)。通过逻辑回归和 ROC 分析研究了 CT 单独或与其他参数相结合的预后价值。
CT PI 评分[≥15 与≤6]对预测不良预后的影响(OR 5.71 95 % CI 1.93-16.92,P=0.002)得到证实;PC 评分无显著相关性。单独考虑 PI 评分时,胸部 CT 具有预后作用(AUC 0.722),并且当与人口统计学特征、合并症和实验室数据一起评估时,其具有预后作用(AUC 0.841)。因此,我们开发了一个列线图作为一种便于临床应用的即时工具。
即使在 COVID-19 紧急情况下,CT 的视觉分析也能为医生提供有用的预后评估信息。通过结合临床和实验室数据评估 CT,可提高预测价值。