• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

出院后新型冠状病毒肺炎(COVID-19)患者的薄层 CT 分析。

Analysis of thin-section CT in patients with coronavirus disease (COVID-19) after hospital discharge.

机构信息

Department of Radiology, Jiangxi Provincial People's Hospital, Nanchang, China.

Department of Radiology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China.

出版信息

J Xray Sci Technol. 2020;28(3):383-389. doi: 10.3233/XST-200685.

DOI:10.3233/XST-200685
PMID:32474479
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7369060/
Abstract

PURPOSE

To analyze clinical and thin-section computed tomographic (CT) data from the patients with coronavirus disease (COVID-19) to predict the development of pulmonary fibrosis after hospital discharge.

MATERIALS AND METHODS

Fifty-nine patients (31 males and 28 females ranging from 25 to 70 years old) with confirmed COVID-19 infection performed follow-up thin-section thorax CT. After 31.5±7.9 days (range, 24 to 39 days) of hospital admission, the results of CT were analyzed for parenchymal abnormality (ground-glass opacification, interstitial thickening, and consolidation) and evidence of fibrosis (parenchymal band, traction bronchiectasis, and irregular interfaces). Patients were analyzed based on the evidence of fibrosis and divided into two groups namely, groups A and B (with and without CT evidence of fibrosis), respectively. Patient demographics, length of stay (LOS), rate of intensive care unit (ICU) admission, peak C-reactive protein level, and CT score were compared between the two groups.

RESULTS

Among the 59 patients, 89.8% (53/59) had a typical transition from early phase to advanced phase and advanced phase to dissipating phase. Also, 39% (23/59) patients developed fibrosis (group A), whereas 61% (36/59) patients did not show definite fibrosis (group B). Patients in group A were older (mean age, 45.4±16.9 vs. 33.8±10.2 years) (P = 0.001), with longer LOS (19.1±5.2 vs. 15.0±2.5 days) (P = 0.001), higher rate of ICU admission (21.7% (5/23) vs. 5.6% (2/36)) (P = 0.061), higher peak C-reactive protein level (30.7±26.4 vs. 18.1±17.9 mg/L) (P = 0.041), and higher maximal CT score (5.2±4.3 vs. 4.0±2.2) (P = 0.06) than those in group B.

CONCLUSIONS

Pulmonary fibrosis may develop early in patients with COVID-19 after hospital discharge. Older patients with severe illness during treatment were more prone to develop fibrosis according to thin-section CT results.

摘要

目的

分析新冠肺炎(COVID-19)患者的临床和薄层计算机断层扫描(CT)数据,以预测出院后发生肺纤维化的情况。

材料和方法

59 名患者(31 名男性和 28 名女性,年龄 25 岁至 70 岁)经确诊患有 COVID-19 感染,进行了后续的薄层胸部 CT 检查。在住院治疗 31.5±7.9 天后(范围为 24 天至 39 天),对 CT 结果进行分析,以评估实质异常(磨玻璃影、间质增厚和实变)和纤维化证据(实质带、牵引性支气管扩张和不规则界面)。根据纤维化证据对患者进行分析,并将他们分为两组,即 A 组(有 CT 纤维化证据)和 B 组(无 CT 纤维化证据)。比较两组患者的人口统计学数据、住院时间(LOS)、入住重症监护病房(ICU)的比例、C 反应蛋白峰值水平和 CT 评分。

结果

在 59 名患者中,89.8%(53/59)表现为从早期到晚期和晚期到消散期的典型过渡。此外,39%(23/59)的患者出现纤维化(A 组),而 61%(36/59)的患者没有出现明确的纤维化(B 组)。A 组患者年龄较大(平均年龄 45.4±16.9 岁 vs. 33.8±10.2 岁)(P = 0.001),住院时间较长(19.1±5.2 天 vs. 15.0±2.5 天)(P = 0.001),入住 ICU 的比例较高(21.7%(5/23)vs. 5.6%(2/36))(P = 0.061),C 反应蛋白峰值水平较高(30.7±26.4 比 18.1±17.9 mg/L)(P = 0.041),以及 CT 评分最高值较高(5.2±4.3 比 4.0±2.2)(P = 0.06)。

结论

COVID-19 患者出院后可能会早期出现肺纤维化。根据薄层 CT 结果,治疗期间病情较重的老年患者更容易发生纤维化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ed2/7369060/ac519f295959/xst-28-xst200685-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ed2/7369060/d8c92502b798/xst-28-xst200685-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ed2/7369060/ac519f295959/xst-28-xst200685-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ed2/7369060/d8c92502b798/xst-28-xst200685-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ed2/7369060/ac519f295959/xst-28-xst200685-g002.jpg

相似文献

1
Analysis of thin-section CT in patients with coronavirus disease (COVID-19) after hospital discharge.出院后新型冠状病毒肺炎(COVID-19)患者的薄层 CT 分析。
J Xray Sci Technol. 2020;28(3):383-389. doi: 10.3233/XST-200685.
2
Prediction of the Development of Pulmonary Fibrosis Using Serial Thin-Section CT and Clinical Features in Patients Discharged after Treatment for COVID-19 Pneumonia.利用 COVID-19 肺炎治疗后出院患者的系列薄层 CT 和临床特征预测肺纤维化的发展。
Korean J Radiol. 2020 Jun;21(6):746-755. doi: 10.3348/kjr.2020.0215.
3
Thin-section CT in patients with severe acute respiratory syndrome following hospital discharge: preliminary experience.重症急性呼吸综合征患者出院后的薄层CT:初步经验
Radiology. 2003 Sep;228(3):810-5. doi: 10.1148/radiol.2283030726. Epub 2003 Jun 12.
4
A Comparison of Clinical and Chest CT Findings in Patients With Influenza A (H1N1) Virus Infection and Coronavirus Disease (COVID-19).甲型流感病毒(H1N1)感染与新型冠状病毒肺炎(COVID-19)患者的临床和胸部 CT 表现比较。
AJR Am J Roentgenol. 2020 Nov;215(5):1065-1071. doi: 10.2214/AJR.20.23214. Epub 2020 May 26.
5
Chest Computed Tomography and Clinical Follow-Up of Discharged Patients with COVID-19 in Wenzhou City, Zhejiang, China.中国浙江省温州市出院 COVID-19 患者的胸部计算机断层扫描和临床随访。
Ann Am Thorac Soc. 2020 Oct;17(10):1231-1237. doi: 10.1513/AnnalsATS.202004-324OC.
6
[Expert recommendations for the diagnosis and treatment of interstitial lung disease caused by novel coronavirus pneumonia].[新型冠状病毒肺炎所致间质性肺疾病诊断和治疗专家建议]
Zhonghua Jie He He Hu Xi Za Zhi. 2020 Oct 12;43(10):827-833. doi: 10.3760/cma.j.cn112147-20200326-00419.
7
Clinical Features and Chest CT Manifestations of Coronavirus Disease 2019 (COVID-19) in a Single-Center Study in Shanghai, China.中国上海单中心研究的 2019 年冠状病毒病(COVID-19)的临床特征和胸部 CT 表现。
AJR Am J Roentgenol. 2020 Jul;215(1):121-126. doi: 10.2214/AJR.20.22959. Epub 2020 Mar 14.
8
Novel Coronavirus Disease 2019 (COVID-19) Pneumonia Progression Course in 17 Discharged Patients: Comparison of Clinical and Thin-Section Computed Tomography Features During Recovery.新型冠状病毒病 2019(COVID-19)肺炎 17 例出院患者的进展过程:恢复期临床和薄层 CT 特征比较。
Clin Infect Dis. 2020 Jul 28;71(15):723-731. doi: 10.1093/cid/ciaa271.
9
Organizing pneumonia of COVID-19: Time-dependent evolution and outcome in CT findings.COVID-19 机化性肺炎:CT 表现的时间依赖性演变和结局。
PLoS One. 2020 Nov 11;15(11):e0240347. doi: 10.1371/journal.pone.0240347. eCollection 2020.
10
Chest CT Features of Patients with COVID-19 Pneumonia Following Hospital Discharge.新冠肺炎患者出院后肺炎的胸部 CT 特征。
Curr Med Imaging. 2023;19(8):900-906. doi: 10.2174/1573405619666230109155518.

引用本文的文献

1
Consensus based recommendations for the management of post-COVID long-term sequelae (Long COVID): a regional perspective.基于共识的新冠后长期后遗症(长新冠)管理建议:区域视角
Front Med (Lausanne). 2025 Aug 6;12:1453167. doi: 10.3389/fmed.2025.1453167. eCollection 2025.
2
Persisting Shadows: Unraveling the Impact of Long COVID-19 on Respiratory, Cardiovascular, and Nervous Systems.持续的阴影:揭示新冠长期症状对呼吸、心血管和神经系统的影响
Infect Dis Rep. 2023 Dec 15;15(6):806-830. doi: 10.3390/idr15060072.
3
The clinical, functional, and radiological effect of long-term used immunosuppressive therapy for post-COVID-19 interstitial lung disease.

本文引用的文献

1
2019 Novel Coronavirus (COVID-19) Pneumonia: Serial Computed Tomography Findings.2019 新型冠状病毒(COVID-19)肺炎:连续计算机断层扫描结果。
Korean J Radiol. 2020 Apr;21(4):501-504. doi: 10.3348/kjr.2020.0112. Epub 2020 Feb 26.
2
Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea.韩国 9 例新型冠状病毒病(COVID-19)患者的胸部 X 线和 CT 表现分析
Korean J Radiol. 2020 Apr;21(4):494-500. doi: 10.3348/kjr.2020.0132. Epub 2019 Feb 26.
3
Coronavirus Disease 2019 (COVID-19): A Perspective from China.
长期使用免疫抑制疗法对新冠后间质性肺病的临床、功能及影像学影响
Sarcoidosis Vasc Diffuse Lung Dis. 2023 Dec 20;40(4):e2023049. doi: 10.36141/svdld.v40i4.15055.
4
Longitudinal Analysis of Pulmonary Function Impairment One Year Post-COVID-19: A Single-Center Study.新冠病毒感染后一年肺功能损害的纵向分析:一项单中心研究
J Pers Med. 2023 Jul 26;13(8):1190. doi: 10.3390/jpm13081190.
5
[Lung Involvement Following Acute SARS-CoV-2 Infection].[新型严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)急性感染后的肺部受累情况]
Open Respir Arch. 2022 Feb 8;4(2):100167. doi: 10.1016/j.opresp.2022.100167. eCollection 2022 Apr-Jun.
6
Clinicopathological Outlines of Post-COVID-19 Pulmonary Fibrosis Compared with Idiopathic Pulmonary Fibrosis.与特发性肺纤维化相比,新型冠状病毒肺炎后肺纤维化的临床病理概述
Biomedicines. 2023 Jun 17;11(6):1739. doi: 10.3390/biomedicines11061739.
7
Relation of impulse oscillometry and spirometry with quantitative thorax computed tomography after COVID-19 pneumonia.新冠肺炎后脉冲振荡与肺量计和定量胸部 CT 的关系。
Rev Assoc Med Bras (1992). 2023 May 19;69(5):e20221427. doi: 10.1590/1806-9282.20221427. eCollection 2023.
8
Artificial intelligence for reducing the radiation burden of medical imaging for the diagnosis of coronavirus disease.用于减轻医学成像在冠状病毒病诊断中的辐射负担的人工智能
Eur Phys J Plus. 2023;138(5):391. doi: 10.1140/epjp/s13360-023-03745-4. Epub 2023 May 8.
9
Post-COVID Interstitial Lung Disease-The Tip of the Iceberg.新冠后间质性肺病——冰山一角。
Immunol Allergy Clin North Am. 2023 May;43(2):389-410. doi: 10.1016/j.iac.2023.01.004. Epub 2023 Mar 3.
10
Clinical and radiological outcomes of longCOVID: Is the post-COVID fibrosis common?长新冠的临床和影像学结果:新冠后纤维化是否常见?
Tuberk Toraks. 2023 Mar;71(1):48-57. doi: 10.5578/tt.20239907.
2019 冠状病毒病(COVID-19):来自中国的视角。
Radiology. 2020 Aug;296(2):E15-E25. doi: 10.1148/radiol.2020200490. Epub 2020 Feb 21.
4
Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection.胸部计算机断层扫描在 2019 年冠状病毒病(COVID-19)中的表现:与感染持续时间的关系。
Radiology. 2020 Jun;295(3):200463. doi: 10.1148/radiol.2020200463. Epub 2020 Feb 20.
5
Minimise nosocomial spread of 2019-nCoV when treating acute respiratory failure.在治疗急性呼吸衰竭时,尽量减少2019新型冠状病毒的医院内传播。
Lancet. 2020 Feb 29;395(10225):685. doi: 10.1016/S0140-6736(20)30359-7. Epub 2020 Feb 11.
6
Novel Coronavirus Pneumonia Outbreak in 2019: Computed Tomographic Findings in Two Cases.2019 年新型冠状病毒肺炎爆发:两例病例的计算机断层扫描结果。
Korean J Radiol. 2020 Mar;21(3):365-368. doi: 10.3348/kjr.2020.0078. Epub 2020 Feb 11.
7
Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China.新型冠状病毒肺炎(2019-nCoV)患者的初始 CT 表现及时间演变:中国武汉 63 例患者研究。
Eur Radiol. 2020 Jun;30(6):3306-3309. doi: 10.1007/s00330-020-06731-x. Epub 2020 Feb 13.
8
Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19).新冠肺炎(COVID-19)康复过程中胸部 CT 肺部变化的时间进程。
Radiology. 2020 Jun;295(3):715-721. doi: 10.1148/radiol.2020200370. Epub 2020 Feb 13.
9
Imaging changes in patients with 2019-nCov.2019新型冠状病毒感染患者的影像学变化
Eur Radiol. 2020 Jul;30(7):3612-3613. doi: 10.1007/s00330-020-06713-z. Epub 2020 Feb 6.
10
Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study.实时预测和预报源自中国武汉的 2019-nCoV 疫情在国内和国际的潜在传播:一项建模研究。
Lancet. 2020 Feb 29;395(10225):689-697. doi: 10.1016/S0140-6736(20)30260-9. Epub 2020 Jan 31.