Chest CT findings related to mortality of patients with COVID-19: A retrospective case-series study.
Identifieur interne : 000499 ( Main/Corpus ); précédent : 000498; suivant : 000500Chest CT findings related to mortality of patients with COVID-19: A retrospective case-series study.
Auteurs : Yiqi Hu ; Chenao Zhan ; Chengyang Chen ; Tao Ai ; Liming XiaSource :
- PloS one [ 1932-6203 ] ; 2020.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (MeSH), China (MeSH), Coronavirus Infections (diagnostic imaging), Coronavirus Infections (mortality), Female (MeSH), Humans (MeSH), Lung (diagnostic imaging), Lung (pathology), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnostic imaging), Pneumonia, Viral (mortality), Radiography, Thoracic (MeSH), Retrospective Studies (MeSH), Tomography, X-Ray Computed (MeSH).
- MESH :
- geographic : China.
- diagnostic imaging : Coronavirus Infections, Lung, Pneumonia, Viral.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- pathology : Lung.
- Adult, Aged, Aged, 80 and over, Betacoronavirus, Female, Humans, Male, Middle Aged, Pandemics, Radiography, Thoracic, Retrospective Studies, Tomography, X-Ray Computed.
Abstract
BACKGROUND
As the current outbreak of COVID-2019 disease has spread to the other more than 150 countries besides China around the world and the death number constantly increased, the clinical data and radiological findings of death cases need to be explored so that more physicians, radiologists and researchers can gain important information to save more lives.
METHODS
73 patients who died from COVID-19 were retrospectively included. The clinical and laboratory data of the patients were extracted from electronic medical records. The clinical data, inflammation-related laboratory results, and CT imaging features were summarized. The laboratory results and dynamic changes of imaging features and severity scores of lung involvement based on chest CT were analyzed.
RESULTS
The mean age was 67±12 years. The typical clinical symptoms included fever (88%), cough (62%) and dyspnea (23%). 65% patients had at least one underlying disease. GGO with consolidation was the most common feature for the five lung lobes (47%-53% among the various lobes), with total severity score of 12.97±5.87 for the both lungs. The proportion of GGO with consolidation is markedly increased on follow-up chest CT compared with initial CT scans, as well as the averaging total CT scores (14.53±5.76 vs. 6.60±5.65; P<0.001). The severity score was rated as severe (white lung) in 13% patients on initial CT scans, and in 60% on follow-up CT scans. Moderate positive correlations were found between CT scores and leucocytes, neutrophils and IL-2R (r = 0.447-0581, P<0.001).
CONCLUSION
Chest CT findings and laboratory test results were worsening in patients who died of COVID-19, with moderate positive correlations between CT severity scores and inflammation-related factors of leucocytes, neutrophils, and IL-2R. Chest CT imaging may play an more important role in monitoring disease progression and predicting prognosis.
DOI: 10.1371/journal.pone.0237302
PubMed: 32841294
PubMed Central: PMC7447035
Links to Exploration step
pubmed:32841294Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Chest CT findings related to mortality of patients with COVID-19: A retrospective case-series study.</title><author><name sortKey="Hu, Yiqi" sort="Hu, Yiqi" uniqKey="Hu Y" first="Yiqi" last="Hu">Yiqi Hu</name><affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhan, Chenao" sort="Zhan, Chenao" uniqKey="Zhan C" first="Chenao" last="Zhan">Chenao Zhan</name><affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Chen, Chengyang" sort="Chen, Chengyang" uniqKey="Chen C" first="Chengyang" last="Chen">Chengyang Chen</name><affiliation><nlm:affiliation>Department of Radiology, The First Hospital of Hebei Medical University, Shijiazhuang, China.</nlm:affiliation></affiliation></author><author><name sortKey="Ai, Tao" sort="Ai, Tao" uniqKey="Ai T" first="Tao" last="Ai">Tao Ai</name><affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xia, Liming" sort="Xia, Liming" uniqKey="Xia L" first="Liming" last="Xia">Liming Xia</name><affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32841294</idno><idno type="pmid">32841294</idno><idno type="doi">10.1371/journal.pone.0237302</idno><idno type="pmc">PMC7447035</idno><idno 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Chengyang" uniqKey="Chen C" first="Chengyang" last="Chen">Chengyang Chen</name><affiliation><nlm:affiliation>Department of Radiology, The First Hospital of Hebei Medical University, Shijiazhuang, China.</nlm:affiliation></affiliation></author><author><name sortKey="Ai, Tao" sort="Ai, Tao" uniqKey="Ai T" first="Tao" last="Ai">Tao Ai</name><affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author><author><name sortKey="Xia, Liming" sort="Xia, Liming" uniqKey="Xia L" first="Liming" last="Xia">Liming Xia</name><affiliation><nlm:affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</nlm:affiliation></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>China (MeSH)</term><term>Coronavirus Infections (diagnostic imaging)</term><term>Coronavirus Infections (mortality)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Lung (diagnostic imaging)</term><term>Lung (pathology)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (diagnostic imaging)</term><term>Pneumonia, Viral (mortality)</term><term>Radiography, Thoracic (MeSH)</term><term>Retrospective Studies (MeSH)</term><term>Tomography, X-Ray Computed (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Coronavirus Infections</term><term>Lung</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Lung</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Betacoronavirus</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Radiography, Thoracic</term><term>Retrospective Studies</term><term>Tomography, X-Ray Computed</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>As the current outbreak of COVID-2019 disease has spread to the other more than 150 countries besides China around the world and the death number constantly increased, the clinical data and radiological findings of death cases need to be explored so that more physicians, radiologists and researchers can gain important information to save more lives.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>73 patients who died from COVID-19 were retrospectively included. The clinical and laboratory data of the patients were extracted from electronic medical records. The clinical data, inflammation-related laboratory results, and CT imaging features were summarized. The laboratory results and dynamic changes of imaging features and severity scores of lung involvement based on chest CT were analyzed.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>The mean age was 67±12 years. The typical clinical symptoms included fever (88%), cough (62%) and dyspnea (23%). 65% patients had at least one underlying disease. GGO with consolidation was the most common feature for the five lung lobes (47%-53% among the various lobes), with total severity score of 12.97±5.87 for the both lungs. The proportion of GGO with consolidation is markedly increased on follow-up chest CT compared with initial CT scans, as well as the averaging total CT scores (14.53±5.76 vs. 6.60±5.65; P<0.001). The severity score was rated as severe (white lung) in 13% patients on initial CT scans, and in 60% on follow-up CT scans. Moderate positive correlations were found between CT scores and leucocytes, neutrophils and IL-2R (r = 0.447-0581, P<0.001).</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>Chest CT findings and laboratory test results were worsening in patients who died of COVID-19, with moderate positive correlations between CT severity scores and inflammation-related factors of leucocytes, neutrophils, and IL-2R. Chest CT imaging may play an more important role in monitoring disease progression and predicting prognosis.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32841294</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>04</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>04</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>15</Volume><Issue>8</Issue><PubDate><Year>2020</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS One</ISOAbbreviation></Journal><ArticleTitle>Chest CT findings related to mortality of patients with COVID-19: A retrospective case-series study.</ArticleTitle><Pagination><MedlinePgn>e0237302</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0237302</ELocationID><Abstract><AbstractText Label="BACKGROUND">As the current outbreak of COVID-2019 disease has spread to the other more than 150 countries besides China around the world and the death number constantly increased, the clinical data and radiological findings of death cases need to be explored so that more physicians, radiologists and researchers can gain important information to save more lives.</AbstractText><AbstractText Label="METHODS">73 patients who died from COVID-19 were retrospectively included. The clinical and laboratory data of the patients were extracted from electronic medical records. The clinical data, inflammation-related laboratory results, and CT imaging features were summarized. The laboratory results and dynamic changes of imaging features and severity scores of lung involvement based on chest CT were analyzed.</AbstractText><AbstractText Label="RESULTS">The mean age was 67±12 years. The typical clinical symptoms included fever (88%), cough (62%) and dyspnea (23%). 65% patients had at least one underlying disease. GGO with consolidation was the most common feature for the five lung lobes (47%-53% among the various lobes), with total severity score of 12.97±5.87 for the both lungs. The proportion of GGO with consolidation is markedly increased on follow-up chest CT compared with initial CT scans, as well as the averaging total CT scores (14.53±5.76 vs. 6.60±5.65; P<0.001). The severity score was rated as severe (white lung) in 13% patients on initial CT scans, and in 60% on follow-up CT scans. Moderate positive correlations were found between CT scores and leucocytes, neutrophils and IL-2R (r = 0.447-0581, P<0.001).</AbstractText><AbstractText Label="CONCLUSION">Chest CT findings and laboratory test results were worsening in patients who died of COVID-19, with moderate positive correlations between CT severity scores and inflammation-related factors of leucocytes, neutrophils, and IL-2R. Chest CT imaging may play an more important role in monitoring disease progression and predicting prognosis.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hu</LastName><ForeName>Yiqi</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhan</LastName><ForeName>Chenao</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Chengyang</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Department of Radiology, The First Hospital of Hebei Medical University, Shijiazhuang, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ai</LastName><ForeName>Tao</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xia</LastName><ForeName>Liming</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>08</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS 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