A predictive score for COVID-19 diagnosis using clinical, laboratory and chest image data.
Identifieur interne : 000030 ( Main/Exploration ); précédent : 000029; suivant : 000031A predictive score for COVID-19 diagnosis using clinical, laboratory and chest image data.
Auteurs : Tarsila Vieceli [Brésil] ; Cilomar Martins De Oliveira Filho [Brésil] ; Mariana Berger [Brésil] ; Marina Petersen Saadi [Brésil] ; Pedro Antonio Salvador [Brésil] ; Leonardo Bressan Anizelli [Brésil] ; Pedro Castilhos De Freitas Crivelaro [Brésil] ; Mauricio Butzke [Brésil] ; Roberta De Souza Zappelini [Brésil] ; Beatriz Graeff Dos Santos Seligman [Brésil] ; Renato Seligman [Brésil]Source :
- The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases [ 1678-4391 ]
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (diagnostic), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (diagnostic), Radiographie thoracique (MeSH), Sensibilité et spécificité (MeSH), Sujet âgé (MeSH), Techniques de laboratoire clinique (MeSH), Valeur prédictive des tests (MeSH), Études transversales (MeSH).
- MESH :
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Betacoronavirus (MeSH), Clinical Laboratory Techniques (MeSH), Coronavirus Infections (diagnosis), Cross-Sectional Studies (MeSH), Female (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Predictive Value of Tests (MeSH), Radiography, Thoracic (MeSH), Sensitivity and Specificity (MeSH).
- MESH :
Abstract
OBJECTIVES
Differential diagnosis of COVID-19 includes a broad range of conditions. Prioritizing containment efforts, protective personal equipment and testing can be challenging. Our aim was to develop a tool to identify patients with higher probability of COVID-19 diagnosis at admission.
METHODS
This cross-sectional study analyzed data from 100 patients admitted with suspected COVID-19. Predictive models of COVID-19 diagnosis were performed based on radiology, clinical and laboratory findings; bootstrapping was performed in order to account for overfitting.
RESULTS
A total of 29% of patients tested positive for SARS-CoV-2. Variables associated with COVID-19 diagnosis in multivariate analysis were leukocyte count ≤7.7×10
CONCLUSIONS
Considering unavailability of RT-PCR at some centers, as well as its questionable early sensitivity, other tools might be used in order to identify patients who should be prioritized for testing, re-testing and admission to isolated wards. We propose a predictive score that can be easily applied in clinical practice. This score is yet to be validated in larger populations.
DOI: 10.1016/j.bjid.2020.06.009
PubMed: 32721387
PubMed Central: PMC7381934
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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score for COVID-19 diagnosis using clinical, laboratory and chest image data.</title><author><name sortKey="Vieceli, Tarsila" sort="Vieceli, Tarsila" uniqKey="Vieceli T" first="Tarsila" last="Vieceli">Tarsila Vieceli</name><affiliation wicri:level="2"><nlm:affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil. Electronic address: tarsilavieceli@gmail.com.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation></author><author><name sortKey="Oliveira Filho, Cilomar Martins De" sort="Oliveira Filho, Cilomar Martins De" uniqKey="Oliveira Filho C" first="Cilomar Martins De" last="Oliveira Filho">Cilomar Martins De Oliveira Filho</name><affiliation wicri:level="2"><nlm:affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation></author><author><name sortKey="Berger, Mariana" sort="Berger, Mariana" uniqKey="Berger M" first="Mariana" last="Berger">Mariana Berger</name><affiliation wicri:level="2"><nlm:affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation></author><author><name sortKey="Saadi, Marina Petersen" sort="Saadi, Marina Petersen" uniqKey="Saadi M" first="Marina Petersen" last="Saadi">Marina Petersen Saadi</name><affiliation wicri:level="2"><nlm:affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation></author><author><name sortKey="Salvador, Pedro Antonio" sort="Salvador, Pedro Antonio" uniqKey="Salvador P" first="Pedro Antonio" last="Salvador">Pedro Antonio Salvador</name><affiliation wicri:level="2"><nlm:affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation></author><author><name sortKey="Anizelli, Leonardo Bressan" sort="Anizelli, Leonardo Bressan" uniqKey="Anizelli L" first="Leonardo Bressan" last="Anizelli">Leonardo Bressan Anizelli</name><affiliation wicri:level="2"><nlm:affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation></author><author><name sortKey="Crivelaro, Pedro Castilhos De Freitas" sort="Crivelaro, Pedro Castilhos De Freitas" uniqKey="Crivelaro P" first="Pedro Castilhos De Freitas" last="Crivelaro">Pedro Castilhos De Freitas Crivelaro</name><affiliation wicri:level="2"><nlm:affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation></author><author><name sortKey="Butzke, Mauricio" sort="Butzke, Mauricio" uniqKey="Butzke M" first="Mauricio" last="Butzke">Mauricio Butzke</name><affiliation wicri:level="2"><nlm:affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation></author><author><name sortKey="Zappelini, Roberta De Souza" sort="Zappelini, Roberta De Souza" uniqKey="Zappelini R" first="Roberta De Souza" last="Zappelini">Roberta De Souza Zappelini</name><affiliation wicri:level="2"><nlm:affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation></author><author><name sortKey="Seligman, Beatriz Graeff Dos Santos" sort="Seligman, Beatriz Graeff Dos Santos" uniqKey="Seligman B" first="Beatriz Graeff Dos Santos" last="Seligman">Beatriz Graeff Dos Santos Seligman</name><affiliation wicri:level="2"><nlm:affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation></author><author><name sortKey="Seligman, Renato" sort="Seligman, Renato" uniqKey="Seligman R" first="Renato" last="Seligman">Renato Seligman</name><affiliation wicri:level="2"><nlm:affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</nlm:affiliation><country xml:lang="fr">Brésil</country><wicri:regionArea>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS</wicri:regionArea><placeName><region type="state">Rio Grande do Sul</region></placeName></affiliation></author></analytic><series><title level="j">The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases</title><idno type="eISSN">1678-4391</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Clinical Laboratory Techniques (MeSH)</term><term>Coronavirus Infections (diagnosis)</term><term>Cross-Sectional Studies (MeSH)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (diagnosis)</term><term>Predictive Value of Tests (MeSH)</term><term>Radiography, Thoracic (MeSH)</term><term>Sensitivity and Specificity (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Infections à coronavirus (diagnostic)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (diagnostic)</term><term>Radiographie thoracique (MeSH)</term><term>Sensibilité et spécificité (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Techniques de laboratoire clinique (MeSH)</term><term>Valeur prédictive des tests (MeSH)</term><term>Études transversales (MeSH)</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Betacoronavirus</term><term>Clinical Laboratory Techniques</term><term>Cross-Sectional Studies</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Predictive Value of Tests</term><term>Radiography, Thoracic</term><term>Sensitivity and Specificity</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Betacoronavirus</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Pandémies</term><term>Radiographie thoracique</term><term>Sensibilité et spécificité</term><term>Sujet âgé</term><term>Techniques de laboratoire clinique</term><term>Valeur prédictive des tests</term><term>Études transversales</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVES</b></p><p>Differential diagnosis of COVID-19 includes a broad range of conditions. Prioritizing containment efforts, protective personal equipment and testing can be challenging. Our aim was to develop a tool to identify patients with higher probability of COVID-19 diagnosis at admission.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>This cross-sectional study analyzed data from 100 patients admitted with suspected COVID-19. Predictive models of COVID-19 diagnosis were performed based on radiology, clinical and laboratory findings; bootstrapping was performed in order to account for overfitting.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>A total of 29% of patients tested positive for SARS-CoV-2. Variables associated with COVID-19 diagnosis in multivariate analysis were leukocyte count ≤7.7×10</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Considering unavailability of RT-PCR at some centers, as well as its questionable early sensitivity, other tools might be used in order to identify patients who should be prioritized for testing, re-testing and admission to isolated wards. We propose a predictive score that can be easily applied in clinical practice. This score is yet to be validated in larger populations.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32721387</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>15</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>15</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1678-4391</ISSN><JournalIssue CitedMedium="Internet"><Volume>24</Volume><Issue>4</Issue><PubDate><MedlineDate>2020 Jul - Aug</MedlineDate></PubDate></JournalIssue><Title>The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases</Title><ISOAbbreviation>Braz J Infect Dis</ISOAbbreviation></Journal><ArticleTitle>A predictive score for COVID-19 diagnosis using clinical, laboratory and chest image data.</ArticleTitle><Pagination><MedlinePgn>343-348</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S1413-8670(20)30090-8</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.bjid.2020.06.009</ELocationID><Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">Differential diagnosis of COVID-19 includes a broad range of conditions. Prioritizing containment efforts, protective personal equipment and testing can be challenging. Our aim was to develop a tool to identify patients with higher probability of COVID-19 diagnosis at admission.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">This cross-sectional study analyzed data from 100 patients admitted with suspected COVID-19. Predictive models of COVID-19 diagnosis were performed based on radiology, clinical and laboratory findings; bootstrapping was performed in order to account for overfitting.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">A total of 29% of patients tested positive for SARS-CoV-2. Variables associated with COVID-19 diagnosis in multivariate analysis were leukocyte count ≤7.7×10<sup>3</sup>mm<sup>-3</sup>, LDH >273U/L, and chest radiographic abnormality. A predictive score was built for COVID-19 diagnosis, with an area under ROC curve of 0.847 (95% CI 0.77-0.92), 96% sensitivity and 73.5% specificity. After bootstrapping, the corrected AUC for this model was 0.827 (95% CI 0.75-0.90).</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Considering unavailability of RT-PCR at some centers, as well as its questionable early sensitivity, other tools might be used in order to identify patients who should be prioritized for testing, re-testing and admission to isolated wards. We propose a predictive score that can be easily applied in clinical practice. This score is yet to be validated in larger populations.</AbstractText><CopyrightInformation>Copyright © 2020 Sociedade Brasileira de Infectologia. Published by Elsevier España, S.L.U. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Vieceli</LastName><ForeName>Tarsila</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil. Electronic address: tarsilavieceli@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Oliveira Filho</LastName><ForeName>Cilomar Martins de</ForeName><Initials>CM</Initials><AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Berger</LastName><ForeName>Mariana</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Saadi</LastName><ForeName>Marina Petersen</ForeName><Initials>MP</Initials><AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Salvador</LastName><ForeName>Pedro Antonio</ForeName><Initials>PA</Initials><AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Anizelli</LastName><ForeName>Leonardo Bressan</ForeName><Initials>LB</Initials><AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Crivelaro</LastName><ForeName>Pedro Castilhos de Freitas</ForeName><Initials>PCF</Initials><AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Butzke</LastName><ForeName>Mauricio</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zappelini</LastName><ForeName>Roberta de Souza</ForeName><Initials>RS</Initials><AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Seligman</LastName><ForeName>Beatriz Graeff Dos Santos</ForeName><Initials>BGDS</Initials><AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Seligman</LastName><ForeName>Renato</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Hospital de Clínicas de Porto Alegre, Departamento de Medicina Interna, Porto Alegre, RS, Brazil.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>07</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>Brazil</Country><MedlineTA>Braz J Infect Dis</MedlineTA><NlmUniqueID>9812937</NlmUniqueID><ISSNLinking>1413-8670</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Protocol" UI="C000657964">COVID-19 diagnostic testing</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019411" MajorTopicYN="Y">Clinical Laboratory Techniques</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011237" MajorTopicYN="N">Predictive Value of Tests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013902" MajorTopicYN="N">Radiography, Thoracic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012680" MajorTopicYN="N">Sensitivity and Specificity</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">Diagnosis</Keyword><Keyword MajorTopicYN="N">Predictive score</Keyword><Keyword MajorTopicYN="N">SARS-CoV-2</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>04</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>06</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>06</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>7</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>9</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>7</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32721387</ArticleId><ArticleId IdType="pii">S1413-8670(20)30090-8</ArticleId><ArticleId IdType="doi">10.1016/j.bjid.2020.06.009</ArticleId><ArticleId IdType="pmc">PMC7381934</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Brésil</li></country><region><li>Rio Grande do Sul</li></region></list><tree><country name="Brésil"><region name="Rio Grande do Sul"><name sortKey="Vieceli, Tarsila" sort="Vieceli, Tarsila" uniqKey="Vieceli T" first="Tarsila" last="Vieceli">Tarsila Vieceli</name></region><name sortKey="Anizelli, Leonardo Bressan" sort="Anizelli, Leonardo Bressan" uniqKey="Anizelli L" first="Leonardo Bressan" last="Anizelli">Leonardo Bressan Anizelli</name><name sortKey="Berger, Mariana" sort="Berger, Mariana" uniqKey="Berger M" first="Mariana" last="Berger">Mariana Berger</name><name sortKey="Butzke, Mauricio" sort="Butzke, Mauricio" uniqKey="Butzke M" first="Mauricio" last="Butzke">Mauricio Butzke</name><name sortKey="Crivelaro, Pedro Castilhos De Freitas" sort="Crivelaro, Pedro Castilhos De Freitas" uniqKey="Crivelaro P" first="Pedro Castilhos De Freitas" last="Crivelaro">Pedro Castilhos De Freitas Crivelaro</name><name sortKey="Oliveira Filho, Cilomar Martins De" sort="Oliveira Filho, Cilomar Martins De" uniqKey="Oliveira Filho C" first="Cilomar Martins De" last="Oliveira Filho">Cilomar Martins De Oliveira Filho</name><name sortKey="Saadi, Marina Petersen" sort="Saadi, Marina Petersen" uniqKey="Saadi M" first="Marina Petersen" last="Saadi">Marina Petersen Saadi</name><name sortKey="Salvador, Pedro Antonio" sort="Salvador, Pedro Antonio" uniqKey="Salvador P" first="Pedro Antonio" last="Salvador">Pedro Antonio Salvador</name><name sortKey="Seligman, Beatriz Graeff Dos Santos" sort="Seligman, Beatriz Graeff Dos Santos" uniqKey="Seligman B" first="Beatriz Graeff Dos Santos" last="Seligman">Beatriz Graeff Dos Santos Seligman</name><name sortKey="Seligman, Renato" sort="Seligman, Renato" uniqKey="Seligman R" first="Renato" last="Seligman">Renato Seligman</name><name sortKey="Zappelini, Roberta De Souza" sort="Zappelini, Roberta De Souza" uniqKey="Zappelini R" first="Roberta De Souza" last="Zappelini">Roberta De Souza Zappelini</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= A predictive score for COVID-19 diagnosis using clinical, laboratory and chest image data.
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