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新冠康复者的长期胸部CT随访:发病后102至361天。

Long-term chest CT follow-up in COVID-19 Survivors: 102-361 days after onset.

作者信息

Yin Xi, Xi Xiaoqing, Min Xiangde, Feng Zhaoyan, Li Basen, Cai Wei, Fan Chanyuan, Wang Liang, Xia Liming

机构信息

Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Department of CT & MRI, The First Affiliated Hospital, College of Medicine, Shihezi University, Shihezi, China.

出版信息

Ann Transl Med. 2021 Aug;9(15):1231. doi: 10.21037/atm-21-1438.

Abstract

BACKGROUND

The aim of this study was to evaluate long-term longitudinal changes in chest computed tomography (CT) findings in coronavirus disease 2019 (COVID-19) survivors and their correlations with dyspnea after discharge.

METHODS

A total of 337 COVID-19 survivors who underwent CT scan during hospitalization and between 102 and 361 days after onset were retrospectively included. Subjective CT findings, lesion volume, therapeutic measures and laboratory parameters were collected. The severity of the survivors' dyspnea was determined by follow-up questionnaire. The evolution of the CT findings from the peak period to discharge and throughout follow-up and the abilities of CT findings and clinical parameters to predict survival with and without dyspnea were analyzed.

RESULTS

Ninety-one COVID-19 survivors still had dyspnea at follow-up. The age, comorbidity score, duration of hospital stays, receipt of hormone administration, receipt of immunoglobulin injections, intensive care unit (ICU) admission, receipt of mechanical ventilation, laboratory parameters, clinical classifications and parameters associated with lesion volume of the survivors with dyspnea were significantly different from those of survivors without dyspnea. Among the clinical parameters and CT parameters used to identify dyspnea, parameters associated with lesion volume showed the largest area under the curve (AUC) values, with lesion volume at discharge showing the largest AUC (0.820). Lesion volume decreased gradually from the peak period to discharge and through follow-up, with a notable decrease observed after discharge. Absorption of lesions continued 6 months after discharge.

CONCLUSIONS

Among the clinical parameters and subjective CT findings, CT findings associated with lesion volume were the best predictors of post-discharge dyspnea in COVID-19 survivors.

摘要

背景

本研究旨在评估2019冠状病毒病(COVID-19)幸存者胸部计算机断层扫描(CT)结果的长期纵向变化及其与出院后呼吸困难的相关性。

方法

回顾性纳入337例在住院期间及发病后102至361天接受CT扫描的COVID-19幸存者。收集主观CT表现、病变体积、治疗措施和实验室参数。通过随访问卷确定幸存者呼吸困难的严重程度。分析CT表现从高峰期到出院以及整个随访过程中的演变,以及CT表现和临床参数预测有无呼吸困难生存情况的能力。

结果

91例COVID-19幸存者在随访时仍有呼吸困难。有呼吸困难的幸存者的年龄、合并症评分、住院时间、接受激素治疗情况、接受免疫球蛋白注射情况、入住重症监护病房(ICU)情况、接受机械通气情况、实验室参数、临床分类以及与病变体积相关的参数与无呼吸困难的幸存者有显著差异。在用于识别呼吸困难的临床参数和CT参数中,与病变体积相关的参数曲线下面积(AUC)值最大,出院时的病变体积AUC最大(0.820)。病变体积从高峰期到出院以及随访过程中逐渐减小,出院后有明显下降。出院后6个月病变仍在吸收。

结论

在临床参数和主观CT表现中,与病变体积相关的CT表现是COVID-19幸存者出院后呼吸困难的最佳预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c893/8421980/27177fef1e27/atm-09-15-1231-f1.jpg

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