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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCNR</journal-id><journal-title-group><journal-title>Journal of Clinical and Nursing Research</journal-title></journal-title-group><issn>2208-3685</issn><eissn>2208-3693</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcnr.v8i3.6302</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Analysis of Imaging Characteristics and Dynamic Changes of 3 Cases of Severe Novel Coronavirus Pneumonia in Qinghai Province</title><url>https://artdesignp.com/journal/JCNR/8/3/10.26689/jcnr.v8i3.6302</url><author>YuYingfang,ZhaoRuiyun,LiChangde,MaFuqiang,GuoLingyun,LiYang</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>3</issue><history><date date-type="pub"><published-time>2024-03-24</published-time></date></history><abstract>Objective: To analyze the characteristics, dynamic changes, and outcomes of the first imaging manifestations of 3 patients with severe COVID-19 in our hospital. Methods: Computed tomography (CT) findings of 3 patients with severe COVID-19 who tested positive by the nucleic acid test in our hospital were selected, mainly focusing on the morphology, distribution characteristics, and dynamic changes of the first CT findings. Results: 3 patients with severe pneumonia were older, with one aged 80. The first chest CT examination for all 3 patients differed. Imaging showed a leafy distribution of consolidation, primarily affecting the lower lobes of both lungs and extending subpleurally. A grid-like pattern was observed, along with changes in the consolidation and air bronchogram. These changes had slower absorption, especially in patients with underlying diseases. Conclusion: CT manifestations of severe COVID-19 have specific characteristics and the analysis of their characteristics and dynamic changes provide valuable insights for clinical treatment.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Xu X, Chen P, Wang J, et al., 2020, Evolution of the Novel Coronavirus from the Ongoing Wuhan Outbreak and Modeling of its Spike Protein for Risk of Human Transmission. Sci China Life Sci, 33(3): 457–460.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Medical Policy and Medical Administration Bureau, General Office of National Health Commission, 2020, Notice on the Issuance of the New Coronavirus Pneumonia Diagnosis and Treatment Plan (Eighth Trial Version), viewed January 25, 2024, https://www.gov.cn/zhengce/zhengceku/2020-08/19/content_5535757.htm</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Ji G, Huang M, Zhang Q, et al., 2020, CT Manifestations and Dynamic Changes of New Coronavirus Pneumonia. Chinese Imaging Technology, 36 (2): 242–247.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Huang L, Han R, Yu P, et al., 2020, Study on the Correlation Between CT and Clinical Manifestations Among Different Clinical Classifications of Novel Coronavirus Pneumonia. Chinese Journal of Radiology, 54(4): 300–304.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Lu X, Gong W, Wang L, et al., 2020, Clinical Characteristics and High-Resolution CT Imaging of New Coronavirus Pneumonia at Initial Diagnosis. Chinese Journal of Radiology, 54(1): 25–28.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Chung M, Bernheim A, Mie X, et al., 2020, CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV). Radiology, 295(1).</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Meng L, Zhang N, Hou K, et al., 2020, Imaging Manifestations and Retrospective Analysis of New Coronavirus Pneumonia. Practical Hospital Clinical Journal, 17(2): 49–52.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Huang C, Wang Y, Li X, et al., 2020, Clinical Features of Patients Infected with 2019 Novel Coronavirus in Wuhan, China. 395(10223): Lancet, 497–506. https://doi.org/10.1016/S0140-6736(20)30183-5</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
