Interest of the cellular population data analysis as an aid in the early diagnosis of SARS-CoV-2 infection.
Identifieur interne : 000C64 ( Main/Exploration ); précédent : 000C63; suivant : 000C65Interest of the cellular population data analysis as an aid in the early diagnosis of SARS-CoV-2 infection.
Auteurs : Marc Vasse [France] ; Marie-Christine Ballester [France] ; Degnile Ayaka [France] ; Dmitry Sukhachev [Russie] ; Frédérique Delcominette [France] ; Florence Habarou [France] ; Emilie Jolly [France] ; Elena Sukhacheva [Suisse] ; Tiffany Pascreau [France] ; Éric Farfour [France]Source :
- International journal of laboratory hematology [ 1751-553X ] ; 2020.
Abstract
INTRODUCTION
Coronavirus disease 2019 (COVID-19) is characterized by a high contagiousness requiring isolation measures. At this time, diagnosis is based on the positivity of specific RT-PCR and/or chest computed tomography scan, which are time-consuming and may delay diagnosis. Complete blood count (CBC) can potentially contribute to the diagnosis of COVID-19. We studied whether the analysis of cellular population data (CPD), provided as part of CBC-Diff analysis by the DxH 800 analyzers (Beckman Coulter), can help to identify SARS-CoV-2 infection.
METHODS
Cellular population data of the different leukocyte subpopulations were analyzed in 137 controls, 322 patients with proven COVID-19 (COVID+), and 285 patients for whom investigations were negative for SARS-CoV-2 infection (COVID-). When CPD of COVID+ were different from controls and COVID- patients, we used receiver operating characteristic analysis to test the discriminating capacity of the individual parameters. Using a random forest classifier, we developed the algorithm based on the combination of 4 monocyte CPD to discriminate COVID+ from COVID- patients. This algorithm was tested prospectively in a series of 222 patients referred to the emergency unit.
RESULTS
Among the 222 patients, 86 were diagnosed as COVID-19 and 60.5% were correctly identified using the discriminating protocol. Among the 136 COVID- patients, 10.3% were misclassified (specificity 89.7%, sensitivity 60.5%). False negatives were observed mainly in patients with a low inflammatory state whereas false positives were mainly seen in patients with sepsis.
CONCLUSION
Consideration of CPD could constitute a first step and potentially aid in the early diagnosis of COVID-19.
DOI: 10.1111/ijlh.13312
PubMed: 32812365
PubMed Central: PMC7461522
Affiliations:
Links toward previous steps (curation, corpus...)
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uniqKey="Vasse M" first="Marc" last="Vasse">Marc Vasse</name><affiliation wicri:level="1"><nlm:affiliation>Biology Department, Foch Hospital& UMR-S 1176, Suresnes and Kremlin-Bicêtre, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Biology Department, Foch Hospital& UMR-S 1176, Suresnes and Kremlin-Bicêtre</wicri:regionArea><wicri:noRegion>Suresnes and Kremlin-Bicêtre</wicri:noRegion><wicri:noRegion>Suresnes and Kremlin-Bicêtre</wicri:noRegion></affiliation></author><author><name sortKey="Ballester, Marie Christine" sort="Ballester, Marie Christine" uniqKey="Ballester M" first="Marie-Christine" last="Ballester">Marie-Christine Ballester</name><affiliation wicri:level="1"><nlm:affiliation>Emergency Unit, Foch Hospital, Suresnes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Emergency Unit, Foch Hospital, Suresnes</wicri:regionArea><wicri:noRegion>Suresnes</wicri:noRegion><wicri:noRegion>Suresnes</wicri:noRegion></affiliation></author><author><name sortKey="Ayaka, Degnile" sort="Ayaka, Degnile" uniqKey="Ayaka D" first="Degnile" last="Ayaka">Degnile Ayaka</name><affiliation wicri:level="1"><nlm:affiliation>Biology Department, Foch Hospital, Suresnes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Biology Department, Foch Hospital, Suresnes</wicri:regionArea><wicri:noRegion>Suresnes</wicri:noRegion><wicri:noRegion>Suresnes</wicri:noRegion></affiliation></author><author><name sortKey="Sukhachev, Dmitry" sort="Sukhachev, Dmitry" uniqKey="Sukhachev D" first="Dmitry" last="Sukhachev">Dmitry Sukhachev</name><affiliation wicri:level="1"><nlm:affiliation>LabTech Ltd, Saint-Petersburg, Russia.</nlm:affiliation><country xml:lang="fr">Russie</country><wicri:regionArea>LabTech Ltd, Saint-Petersburg</wicri:regionArea><wicri:noRegion>Saint-Petersburg</wicri:noRegion></affiliation></author><author><name sortKey="Delcominette, Frederique" sort="Delcominette, Frederique" uniqKey="Delcominette F" first="Frédérique" last="Delcominette">Frédérique Delcominette</name><affiliation wicri:level="1"><nlm:affiliation>Biology Department, Foch Hospital, Suresnes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Biology Department, Foch Hospital, Suresnes</wicri:regionArea><wicri:noRegion>Suresnes</wicri:noRegion><wicri:noRegion>Suresnes</wicri:noRegion></affiliation></author><author><name sortKey="Habarou, Florence" sort="Habarou, Florence" uniqKey="Habarou F" first="Florence" last="Habarou">Florence Habarou</name><affiliation wicri:level="1"><nlm:affiliation>Biology Department, Foch Hospital, Suresnes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Biology Department, Foch Hospital, Suresnes</wicri:regionArea><wicri:noRegion>Suresnes</wicri:noRegion><wicri:noRegion>Suresnes</wicri:noRegion></affiliation></author><author><name sortKey="Jolly, Emilie" sort="Jolly, Emilie" uniqKey="Jolly E" first="Emilie" last="Jolly">Emilie Jolly</name><affiliation wicri:level="1"><nlm:affiliation>Biology Department, Foch Hospital, Suresnes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Biology Department, Foch Hospital, Suresnes</wicri:regionArea><wicri:noRegion>Suresnes</wicri:noRegion><wicri:noRegion>Suresnes</wicri:noRegion></affiliation></author><author><name sortKey="Sukhacheva, Elena" sort="Sukhacheva, Elena" uniqKey="Sukhacheva E" first="Elena" last="Sukhacheva">Elena Sukhacheva</name><affiliation wicri:level="1"><nlm:affiliation>Beckman Coulter Eurocenter, Nyon, Switzerland.</nlm:affiliation><country xml:lang="fr">Suisse</country><wicri:regionArea>Beckman Coulter Eurocenter, Nyon</wicri:regionArea><wicri:noRegion>Nyon</wicri:noRegion></affiliation></author><author><name sortKey="Pascreau, Tiffany" sort="Pascreau, Tiffany" uniqKey="Pascreau T" first="Tiffany" last="Pascreau">Tiffany Pascreau</name><affiliation wicri:level="1"><nlm:affiliation>Biology Department, Foch Hospital& UMR-S 1176, Suresnes and Kremlin-Bicêtre, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Biology Department, Foch Hospital& UMR-S 1176, Suresnes and Kremlin-Bicêtre</wicri:regionArea><wicri:noRegion>Suresnes and Kremlin-Bicêtre</wicri:noRegion><wicri:noRegion>Suresnes and Kremlin-Bicêtre</wicri:noRegion></affiliation></author><author><name sortKey="Farfour, Eric" sort="Farfour, Eric" uniqKey="Farfour E" first="Éric" last="Farfour">Éric Farfour</name><affiliation wicri:level="1"><nlm:affiliation>Biology Department, Foch Hospital, Suresnes, France.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Biology Department, Foch Hospital, Suresnes</wicri:regionArea><wicri:noRegion>Suresnes</wicri:noRegion><wicri:noRegion>Suresnes</wicri:noRegion></affiliation></author></analytic><series><title level="j">International journal of laboratory hematology</title><idno type="eISSN">1751-553X</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>INTRODUCTION</b></p><p>Coronavirus disease 2019 (COVID-19) is characterized by a high contagiousness requiring isolation measures. At this time, diagnosis is based on the positivity of specific RT-PCR and/or chest computed tomography scan, which are time-consuming and may delay diagnosis. Complete blood count (CBC) can potentially contribute to the diagnosis of COVID-19. We studied whether the analysis of cellular population data (CPD), provided as part of CBC-Diff analysis by the DxH 800 analyzers (Beckman Coulter), can help to identify SARS-CoV-2 infection.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Cellular population data of the different leukocyte subpopulations were analyzed in 137 controls, 322 patients with proven COVID-19 (COVID+), and 285 patients for whom investigations were negative for SARS-CoV-2 infection (COVID-). When CPD of COVID+ were different from controls and COVID- patients, we used receiver operating characteristic analysis to test the discriminating capacity of the individual parameters. Using a random forest classifier, we developed the algorithm based on the combination of 4 monocyte CPD to discriminate COVID+ from COVID- patients. This algorithm was tested prospectively in a series of 222 patients referred to the emergency unit.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Among the 222 patients, 86 were diagnosed as COVID-19 and 60.5% were correctly identified using the discriminating protocol. Among the 136 COVID- patients, 10.3% were misclassified (specificity 89.7%, sensitivity 60.5%). False negatives were observed mainly in patients with a low inflammatory state whereas false positives were mainly seen in patients with sepsis.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>Consideration of CPD could constitute a first step and potentially aid in the early diagnosis of COVID-19.</p></div></front></TEI><pubmed><MedlineCitation Status="Publisher" Owner="NLM"><PMID Version="1">32812365</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>09</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1751-553X</ISSN><JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year><Month>Aug</Month><Day>19</Day></PubDate></JournalIssue><Title>International journal of laboratory hematology</Title><ISOAbbreviation>Int J Lab Hematol</ISOAbbreviation></Journal><ArticleTitle>Interest of the cellular population data analysis as an aid in the early diagnosis of SARS-CoV-2 infection.</ArticleTitle><ELocationID EIdType="doi" ValidYN="Y">10.1111/ijlh.13312</ELocationID><Abstract><AbstractText Label="INTRODUCTION" NlmCategory="BACKGROUND">Coronavirus disease 2019 (COVID-19) is characterized by a high contagiousness requiring isolation measures. At this time, diagnosis is based on the positivity of specific RT-PCR and/or chest computed tomography scan, which are time-consuming and may delay diagnosis. Complete blood count (CBC) can potentially contribute to the diagnosis of COVID-19. We studied whether the analysis of cellular population data (CPD), provided as part of CBC-Diff analysis by the DxH 800 analyzers (Beckman Coulter), can help to identify SARS-CoV-2 infection.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Cellular population data of the different leukocyte subpopulations were analyzed in 137 controls, 322 patients with proven COVID-19 (COVID+), and 285 patients for whom investigations were negative for SARS-CoV-2 infection (COVID-). When CPD of COVID+ were different from controls and COVID- patients, we used receiver operating characteristic analysis to test the discriminating capacity of the individual parameters. Using a random forest classifier, we developed the algorithm based on the combination of 4 monocyte CPD to discriminate COVID+ from COVID- patients. This algorithm was tested prospectively in a series of 222 patients referred to the emergency unit.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Among the 222 patients, 86 were diagnosed as COVID-19 and 60.5% were correctly identified using the discriminating protocol. Among the 136 COVID- patients, 10.3% were misclassified (specificity 89.7%, sensitivity 60.5%). False negatives were observed mainly in patients with a low inflammatory state whereas false positives were mainly seen in patients with sepsis.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Consideration of CPD could constitute a first step and potentially aid in the early diagnosis of COVID-19.</AbstractText><CopyrightInformation>© 2020 John Wiley & Sons Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Vasse</LastName><ForeName>Marc</ForeName><Initials>M</Initials><Identifier Source="ORCID">https://orcid.org/0000-0002-8784-7209</Identifier><AffiliationInfo><Affiliation>Biology Department, Foch Hospital& UMR-S 1176, Suresnes and Kremlin-Bicêtre, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ballester</LastName><ForeName>Marie-Christine</ForeName><Initials>MC</Initials><AffiliationInfo><Affiliation>Emergency Unit, Foch Hospital, Suresnes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ayaka</LastName><ForeName>Degnile</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Biology Department, Foch Hospital, Suresnes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sukhachev</LastName><ForeName>Dmitry</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>LabTech Ltd, Saint-Petersburg, Russia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Delcominette</LastName><ForeName>Frédérique</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Biology Department, Foch Hospital, Suresnes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Habarou</LastName><ForeName>Florence</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Biology Department, Foch Hospital, Suresnes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jolly</LastName><ForeName>Emilie</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Biology Department, Foch Hospital, Suresnes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sukhacheva</LastName><ForeName>Elena</ForeName><Initials>E</Initials><Identifier Source="ORCID">https://orcid.org/0000-0002-2854-4742</Identifier><AffiliationInfo><Affiliation>Beckman Coulter Eurocenter, Nyon, Switzerland.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pascreau</LastName><ForeName>Tiffany</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Biology Department, Foch Hospital& UMR-S 1176, Suresnes and Kremlin-Bicêtre, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Farfour</LastName><ForeName>Éric</ForeName><Initials>É</Initials><AffiliationInfo><Affiliation>Biology Department, Foch Hospital, Suresnes, France.</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>19</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Int J Lab Hematol</MedlineTA><NlmUniqueID>101300213</NlmUniqueID><ISSNLinking>1751-5521</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">DxH800 analyzer</Keyword><Keyword MajorTopicYN="N">SARS-CoV-2 diagnosis</Keyword><Keyword MajorTopicYN="N">cellular population data</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>07</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>07</Month><Day>22</Day></PubMedPubDate><PubMedPubDate 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sort="Farfour, Eric" uniqKey="Farfour E" first="Éric" last="Farfour">Éric Farfour</name><name sortKey="Habarou, Florence" sort="Habarou, Florence" uniqKey="Habarou F" first="Florence" last="Habarou">Florence Habarou</name><name sortKey="Jolly, Emilie" sort="Jolly, Emilie" uniqKey="Jolly E" first="Emilie" last="Jolly">Emilie Jolly</name><name sortKey="Pascreau, Tiffany" sort="Pascreau, Tiffany" uniqKey="Pascreau T" first="Tiffany" last="Pascreau">Tiffany Pascreau</name></country><country name="Russie"><noRegion><name sortKey="Sukhachev, Dmitry" sort="Sukhachev, Dmitry" uniqKey="Sukhachev D" first="Dmitry" last="Sukhachev">Dmitry Sukhachev</name></noRegion></country><country name="Suisse"><noRegion><name sortKey="Sukhacheva, Elena" sort="Sukhacheva, Elena" uniqKey="Sukhacheva E" first="Elena" last="Sukhacheva">Elena Sukhacheva</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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