Faculty of Medicine, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.
National Institute for Infectious Diseases "Prof. Dr. Matei Bals", Bucharest, Romania.
Medicine (Baltimore). 2023 Jul 7;102(27):e34250. doi: 10.1097/MD.0000000000034250.
Coronavirus disease 2019 (COVID-19)-associated pulmonary thrombotic events occur frequently and are associated with disease severity and worse clinical outcomes. We aimed to describe the clinical and quantitative chest computed tomography (CT) imaging characteristics based on density ranges (Hounsfield units) and the outcomes of patients with COVID-19 associated pulmonary artery thrombosis. This retrospective cohort study included all patients with COVID-19 hospitalized in a tertiary care hospital between March 2020 and June 2022 who underwent a CT pulmonary angiography. We included 73 patients: 36 (49.3%) with and 37 (50.7%) without pulmonary artery thrombosis. The in-hospital all-cause mortality was 22.2 versus 18.9% ( P = .7), and the intensive care unit admission rates were 30.5 versus 8.1% ( P = .01) at the time of diagnosis of pulmonary artery thrombosis. Except for D-dimers (median of 3142 vs 533, P = .002), the other clinical, coagulopathy, and inflammatory markers were similar. Logistic regression analysis revealed that only D-dimers were associated with pulmonary artery thrombosis ( P = .012). ROC curve analysis of D-dimers showed that a value greater than 1716 ng/mL predicted pulmonary artery thrombosis with an area under the curve of 0.779, 72.2% sensitivity, and 73% specificity (95% CI 0.672-0.885). Peripheral distribution of pulmonary artery thrombosis was recorded in 94.5% of cases. In the lower lobes of the lungs, the incidence of pulmonary artery thrombosis was 6 times higher than that in the upper lobes (58-64%), with a percentage of lung injury of 80% to 90%. Analysis of the distribution of arterial branches with filling defects revealed that 91.6% occurred in lung areas with inflammatory lesions. Quantitative chest CT imaging provides valuable information regarding the extent of COVID-19 associated lung damage and can be used to anticipate the co-location of pulmonary immunothrombotic events. In patients with severe COVID-19, in-hospital all-cause mortality was similar regardless of the presence of associated distal pulmonary thrombosis.
新型冠状病毒病 2019(COVID-19)相关的肺血栓栓塞事件频繁发生,与疾病严重程度和更差的临床结局相关。我们旨在描述 COVID-19 相关肺动脉血栓形成患者的临床和定量胸部计算机断层扫描(CT)成像特征,包括密度范围(亨氏单位)和结局。这项回顾性队列研究纳入了 2020 年 3 月至 2022 年 6 月期间在一家三级护理医院住院的所有 COVID-19 患者,这些患者均接受了 CT 肺动脉造影。我们纳入了 73 例患者:36 例(49.3%)有肺动脉血栓形成,37 例(50.7%)无肺动脉血栓形成。肺动脉血栓形成诊断时,院内全因死亡率分别为 22.2%和 18.9%(P=0.7),入住重症监护病房的比例分别为 30.5%和 8.1%(P=0.01)。除 D-二聚体(中位数分别为 3142 与 533,P=0.002)外,其他临床、凝血障碍和炎症标志物均相似。Logistic 回归分析显示,只有 D-二聚体与肺动脉血栓形成相关(P=0.012)。D-二聚体的 ROC 曲线分析显示,大于 1716ng/mL 的值预测肺动脉血栓形成的曲线下面积为 0.779,敏感性为 72.2%,特异性为 73%(95%CI 0.672-0.885)。94.5%的病例记录了肺动脉血栓形成的外周分布。在肺的下叶,肺动脉血栓形成的发生率是上叶的 6 倍(58-64%),肺损伤百分比为 80%-90%。分析有充盈缺损的动脉分支的分布显示,91.6%发生在有炎症病变的肺区。定量胸部 CT 成像提供了关于 COVID-19 相关肺部损伤程度的有价值的信息,并可用于预测肺免疫血栓事件的发生部位。在严重 COVID-19 患者中,无论是否存在相关的远端肺血栓形成,院内全因死亡率相似。