Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China.
Identifieur interne : 000291 ( PubMed/Corpus ); précédent : 000290; suivant : 000292Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China.
Auteurs : Mingli Yuan ; Wen Yin ; Zhaowu Tao ; Weijun Tan ; Yi HuSource :
- PloS one [ 1932-6203 ] ; 2020.
English descriptors
- KwdEn :
- Aged, China, Comorbidity, Coronavirus Infections (diagnostic imaging), Coronavirus Infections (mortality), Coronavirus Infections (pathology), Female, Humans, Lung (diagnostic imaging), Lung (pathology), Male, Middle Aged, Pneumonia, Viral (diagnostic imaging), Pneumonia, Viral (mortality), Pneumonia, Viral (pathology), Predictive Value of Tests, Prognosis, ROC Curve, Retrospective Studies, Sensitivity and Specificity, Tomography, X-Ray Computed.
- MESH :
- geographic : China.
- diagnostic imaging : Coronavirus Infections, Lung, Pneumonia, Viral.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- pathology : Coronavirus Infections, Lung, Pneumonia, Viral.
- Aged, Comorbidity, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Prognosis, ROC Curve, Retrospective Studies, Sensitivity and Specificity, Tomography, X-Ray Computed.
Abstract
Radiologic characteristics of 2019 novel coronavirus (2019-nCoV) infected pneumonia (NCIP) which had not been fully understood are especially important for diagnosing and predicting prognosis. We retrospective studied 27 consecutive patients who were confirmed NCIP, the clinical characteristics and CT image findings were collected, and the association of radiologic findings with mortality of patients was evaluated. 27 patients included 12 men and 15 women, with median age of 60 years (IQR 47-69). 17 patients discharged in recovered condition and 10 patients died in hospital. The median age of mortality group was higher compared to survival group (68 (IQR 63-73) vs 55 (IQR 35-60), P = 0.003). The comorbidity rate in mortality group was significantly higher than in survival group (80% vs 29%, P = 0.018). The predominant CT characteristics consisted of ground glass opacity (67%), bilateral sides involved (86%), both peripheral and central distribution (74%), and lower zone involvement (96%). The median CT score of mortality group was higher compared to survival group (30 (IQR 7-13) vs 12 (IQR 11-43), P = 0.021), with more frequency of consolidation (40% vs 6%, P = 0.047) and air bronchogram (60% vs 12%, P = 0.025). An optimal cutoff value of a CT score of 24.5 had a sensitivity of 85.6% and a specificity of 84.5% for the prediction of mortality. 2019-nCoV was more likely to infect elderly people with chronic comorbidities. CT findings of NCIP were featured by predominant ground glass opacities mixed with consolidations, mainly peripheral or combined peripheral and central distributions, bilateral and lower lung zones being mostly involved. A simple CT scoring method was capable to predict mortality.
DOI: 10.1371/journal.pone.0230548
PubMed: 32191764
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pubmed:32191764Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China.</title><author><name sortKey="Yuan, Mingli" sort="Yuan, Mingli" uniqKey="Yuan M" first="Mingli" last="Yuan">Mingli Yuan</name><affiliation><nlm:affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Yin, Wen" sort="Yin, Wen" uniqKey="Yin W" first="Wen" last="Yin">Wen Yin</name><affiliation><nlm:affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tao, Zhaowu" sort="Tao, Zhaowu" uniqKey="Tao Z" first="Zhaowu" last="Tao">Zhaowu Tao</name><affiliation><nlm:affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tan, Weijun" sort="Tan, Weijun" uniqKey="Tan W" first="Weijun" last="Tan">Weijun Tan</name><affiliation><nlm:affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Hu, Yi" sort="Hu, Yi" uniqKey="Hu Y" first="Yi" last="Hu">Yi Hu</name><affiliation><nlm:affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno 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Yin</name><affiliation><nlm:affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tao, Zhaowu" sort="Tao, Zhaowu" uniqKey="Tao Z" first="Zhaowu" last="Tao">Zhaowu Tao</name><affiliation><nlm:affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Tan, Weijun" sort="Tan, Weijun" uniqKey="Tan W" first="Weijun" last="Tan">Weijun Tan</name><affiliation><nlm:affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Hu, Yi" sort="Hu, Yi" uniqKey="Hu Y" first="Yi" last="Hu">Yi Hu</name><affiliation><nlm:affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 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>Aged</term><term>China</term><term>Comorbidity</term><term>Coronavirus Infections (diagnostic imaging)</term><term>Coronavirus Infections (mortality)</term><term>Coronavirus Infections (pathology)</term><term>Female</term><term>Humans</term><term>Lung (diagnostic imaging)</term><term>Lung (pathology)</term><term>Male</term><term>Middle Aged</term><term>Pneumonia, Viral (diagnostic imaging)</term><term>Pneumonia, Viral (mortality)</term><term>Pneumonia, Viral (pathology)</term><term>Predictive Value of Tests</term><term>Prognosis</term><term>ROC Curve</term><term>Retrospective Studies</term><term>Sensitivity and Specificity</term><term>Tomography, X-Ray Computed</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>Coronavirus Infections</term><term>Lung</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Comorbidity</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Predictive Value of Tests</term><term>Prognosis</term><term>ROC Curve</term><term>Retrospective Studies</term><term>Sensitivity and Specificity</term><term>Tomography, X-Ray Computed</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Radiologic characteristics of 2019 novel coronavirus (2019-nCoV) infected pneumonia (NCIP) which had not been fully understood are especially important for diagnosing and predicting prognosis. We retrospective studied 27 consecutive patients who were confirmed NCIP, the clinical characteristics and CT image findings were collected, and the association of radiologic findings with mortality of patients was evaluated. 27 patients included 12 men and 15 women, with median age of 60 years (IQR 47-69). 17 patients discharged in recovered condition and 10 patients died in hospital. The median age of mortality group was higher compared to survival group (68 (IQR 63-73) vs 55 (IQR 35-60), P = 0.003). The comorbidity rate in mortality group was significantly higher than in survival group (80% vs 29%, P = 0.018). The predominant CT characteristics consisted of ground glass opacity (67%), bilateral sides involved (86%), both peripheral and central distribution (74%), and lower zone involvement (96%). The median CT score of mortality group was higher compared to survival group (30 (IQR 7-13) vs 12 (IQR 11-43), P = 0.021), with more frequency of consolidation (40% vs 6%, P = 0.047) and air bronchogram (60% vs 12%, P = 0.025). An optimal cutoff value of a CT score of 24.5 had a sensitivity of 85.6% and a specificity of 84.5% for the prediction of mortality. 2019-nCoV was more likely to infect elderly people with chronic comorbidities. CT findings of NCIP were featured by predominant ground glass opacities mixed with consolidations, mainly peripheral or combined peripheral and central distributions, bilateral and lower lung zones being mostly involved. A simple CT scoring method was capable to predict mortality.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32191764</PMID><DateCompleted><Year>2020</Year><Month>03</Month><Day>25</Day></DateCompleted><DateRevised><Year>2020</Year><Month>03</Month><Day>25</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>15</Volume><Issue>3</Issue><PubDate><Year>2020</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China.</ArticleTitle><Pagination><MedlinePgn>e0230548</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0230548</ELocationID><Abstract><AbstractText>Radiologic characteristics of 2019 novel coronavirus (2019-nCoV) infected pneumonia (NCIP) which had not been fully understood are especially important for diagnosing and predicting prognosis. We retrospective studied 27 consecutive patients who were confirmed NCIP, the clinical characteristics and CT image findings were collected, and the association of radiologic findings with mortality of patients was evaluated. 27 patients included 12 men and 15 women, with median age of 60 years (IQR 47-69). 17 patients discharged in recovered condition and 10 patients died in hospital. The median age of mortality group was higher compared to survival group (68 (IQR 63-73) vs 55 (IQR 35-60), P = 0.003). The comorbidity rate in mortality group was significantly higher than in survival group (80% vs 29%, P = 0.018). The predominant CT characteristics consisted of ground glass opacity (67%), bilateral sides involved (86%), both peripheral and central distribution (74%), and lower zone involvement (96%). The median CT score of mortality group was higher compared to survival group (30 (IQR 7-13) vs 12 (IQR 11-43), P = 0.021), with more frequency of consolidation (40% vs 6%, P = 0.047) and air bronchogram (60% vs 12%, P = 0.025). An optimal cutoff value of a CT score of 24.5 had a sensitivity of 85.6% and a specificity of 84.5% for the prediction of mortality. 2019-nCoV was more likely to infect elderly people with chronic comorbidities. CT findings of NCIP were featured by predominant ground glass opacities mixed with consolidations, mainly peripheral or combined peripheral and central distributions, bilateral and lower lung zones being mostly involved. A simple CT scoring method was capable to predict mortality.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Yuan</LastName><ForeName>Mingli</ForeName><Initials>M</Initials><Identifier Source="ORCID">0000-0003-0960-5156</Identifier><AffiliationInfo><Affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yin</LastName><ForeName>Wen</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tao</LastName><ForeName>Zhaowu</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tan</LastName><ForeName>Weijun</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hu</LastName><ForeName>Yi</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Pulmonary and Critical Care Medicine, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate 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PubStatus="accepted"><Year>2020</Year><Month>03</Month><Day>03</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>3</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>3</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>3</Month><Day>26</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32191764</ArticleId><ArticleId IdType="doi">10.1371/journal.pone.0230548</ArticleId><ArticleId IdType="pii">PONE-D-20-04163</ArticleId><ArticleId IdType="pmc">PMC7082074</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>Respirology. 2018 Feb;23(2):130-137</Citation><ArticleIdList><ArticleId IdType="pubmed">29052924</ArticleId></ArticleIdList></Reference></ReferenceList><ReferenceList><Reference><Citation>Curr Opin 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