Pulmonary artery trunk enlargement on admission as a predictor of mortality in in-hospital patients with COVID-19

被引:13
|
作者
Zhu, Qing-Qing [1 ,2 ]
Gong, Tao [1 ]
Huang, Guo-Quan [1 ,3 ]
Niu, Zhong-Feng [2 ]
Yue, Ting [2 ]
Xu, Fang-Yi [2 ]
Chen, Chao [2 ]
Wang, Guang-Bin [1 ]
机构
[1] Shandong Univ, Cheeloo Coll Med, Shandong Med Imaging Res Inst, Dept Radiol, 324 Jinwu Rd, Jinan 250021, Shandong, Peoples R China
[2] Zhejiang Univ, Sir Run Run Shaw Hosp, Dept Radiol, Sch Med, 3 Qingchun East Rd, Hangzhou 310016, Zhejiang, Peoples R China
[3] Wuhu City Second Peoples Hosp, Dept Radiol, 259 Jiuhua Rd, Wuhu 241000, Anhui, Peoples R China
关键词
COVID-19; Pulmonary artery trunk diameter; Pneumonia; Death events; Prognosis; CT;
D O I
10.1007/s11604-021-01094-9
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose To describe the prognostic value of pulmonary artery (PA) trunk enlargement on the admission of in-hospital patients with severe COVID-19 infection by unenhanced CT image. Materials and methods In-hospital patients confirmed COVID-19 from January 18, 2020, to March 7, 2020, were retrospectively enrolled. PA trunk diameters on admission and death events were collected to calculate the optimum cutoff using a receiver operating characteristic curve. According to the cutoff, the subjects on admission were divided into two groups. Then the in-hospital various parameters were compared between the two groups to assess the predictive value of PA trunk diameter. Results In the 180 enrolled in-hospital patients (46.99 +/- 14.95 years; 93 (51.7%) female, 14 patients (7.8%) died during their hospitalization. The optimum cutoff PA trunk diameter to predict in-hospital mortality was > 29 mm with a sensitivity of 92.59% and a specificity of 91.11%. Kaplan-Meier survival curves for PA trunk diameter on admission showed that a PA trunk diameter > 29 mm was a significant predictor of subsequent death (log-rank < 0.001, median survival time of PA > 29 mm was 28 days). Conclusion PA trunk enlargement can be a useful predictive factor for distinguishing between mild and severe COVID-19 disease progression.
引用
收藏
页码:589 / 597
页数:9
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