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入院时肺动脉干增粗可预测 COVID-19 住院患者的死亡率。

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

机构信息

Department of Radiology, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, No. 324 Jinwu Rd, Jinan, 250021, Shandong, China.

Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3, Qingchun East Rd, Hangzhou, 310016, Zhejiang, China.

出版信息

Jpn J Radiol. 2021 Jun;39(6):589-597. doi: 10.1007/s11604-021-01094-9. Epub 2021 Mar 22.

Abstract

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.

摘要

目的

通过未增强 CT 图像描述入院时患有严重 COVID-19 感染的住院患者肺动脉(PA)主干增粗的预后价值。

材料与方法

回顾性纳入 2020 年 1 月 18 日至 2020 年 3 月 7 日确诊 COVID-19 的住院患者。收集入院时 PA 主干直径和死亡事件,并用受试者工作特征曲线计算最佳截断值。根据截断值,将入院时的受试者分为两组。然后比较两组之间入院时的各种参数,以评估 PA 主干直径的预测价值。

结果

共纳入 180 名住院患者(46.99±14.95 岁;93 名(51.7%)女性,14 名患者(7.8%)在住院期间死亡。预测住院死亡率的最佳截断 PA 主干直径为>29mm,其灵敏度为 92.59%,特异性为 91.11%。入院时 PA 主干直径的 Kaplan-Meier 生存曲线显示,PA 主干直径>29mm 是随后死亡的显著预测因素(对数秩<0.001,PA>29mm 的中位生存时间为 28 天)。

结论

PA 主干增粗可作为区分 COVID-19 轻症和重症疾病进展的有用预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c55/7982766/62828de74b12/11604_2021_1094_Fig1_HTML.jpg

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