Blood routine test in mild and common 2019 coronavirus (COVID-19) patients.
Identifieur interne : 000953 ( Main/Corpus ); précédent : 000952; suivant : 000954Blood routine test in mild and common 2019 coronavirus (COVID-19) patients.
Auteurs : Dodji Kossi Djakpo ; Zhiquan Wang ; Rong Zhang ; Xin Chen ; Peng Chen ; Malyn Martha Lilac Ketisha AntoineSource :
- Bioscience reports [ 1573-4935 ] ; 2020.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Asymptomatic Diseases (MeSH), Betacoronavirus (pathogenicity), Blood Cell Count (MeSH), C-Reactive Protein (metabolism), China (epidemiology), Comorbidity (MeSH), Coronary Disease (blood), Coronary Disease (diagnosis), Coronary Disease (epidemiology), Coronary Disease (physiopathology), Coronavirus Infections (blood), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Coronavirus Infections (physiopathology), Diabetes Mellitus (blood), Diabetes Mellitus (diagnosis), Diabetes Mellitus (epidemiology), Diabetes Mellitus (physiopathology), Erythrocyte Indices (MeSH), Erythrocytes (pathology), Erythrocytes (virology), Female (MeSH), Hematocrit (MeSH), Hemoglobins (metabolism), Humans (MeSH), Hypertension (blood), Hypertension (diagnosis), Hypertension (epidemiology), Hypertension (physiopathology), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (blood), Pneumonia, Viral (diagnosis), Pneumonia, Viral (epidemiology), Pneumonia, Viral (physiopathology), Respiratory Insufficiency (blood), Respiratory Insufficiency (diagnosis), Respiratory Insufficiency (epidemiology), Respiratory Insufficiency (physiopathology), Retrospective Studies (MeSH), Severity of Illness Index (MeSH).
- MESH :
- chemical , metabolism : C-Reactive Protein, Hemoglobins.
- geographic , epidemiology : China.
- blood : Coronary Disease, Coronavirus Infections, Diabetes Mellitus, Hypertension, Pneumonia, Viral, Respiratory Insufficiency.
- diagnosis : Coronary Disease, Coronavirus Infections, Diabetes Mellitus, Hypertension, Pneumonia, Viral, Respiratory Insufficiency.
- epidemiology : Coronary Disease, Coronavirus Infections, Diabetes Mellitus, Hypertension, Pneumonia, Viral, Respiratory Insufficiency.
- pathogenicity : Betacoronavirus.
- pathology : Erythrocytes.
- physiopathology : Coronary Disease, Coronavirus Infections, Diabetes Mellitus, Hypertension, Pneumonia, Viral, Respiratory Insufficiency.
- virology : Erythrocytes.
- Adult, Aged, Asymptomatic Diseases, Blood Cell Count, Comorbidity, Erythrocyte Indices, Female, Hematocrit, Humans, Male, Middle Aged, Pandemics, Retrospective Studies, Severity of Illness Index.
Abstract
The new 2019 coronavirus disease (COVID-19), according to the World Health Organization (WHO), has been characterized as a pandemic. As more is being discovered about this virus, we aim to report findings of the complete blood count (CBC) of COVID-19 patients. This would serve in providing physicians with important knowledge on the changes that can be expected from the CBC of mild and normal COVID-19 patients. A total of 208 mild and common patients were admitted at the Dongnan Hospital located in the city of Xiaogan, Hubei, China. The CBCs of these patients, following a confirmed diagnosis of COVID-19, were retrospectively analyzed and a significant P<0.05 was found after a full statistical analysis was conducted using the Statistical Package for the Social Sciences (IBM SPSS). CBC analysis revealed changes in the levels of red blood cells (RBCs), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), and C-reactive protein (CRP). Clinicians should expect similar findings when dealing with the new COVID-19.
DOI: 10.1042/BSR20200817
PubMed: 32725148
PubMed Central: PMC7414516
Links to Exploration step
pubmed:32725148Le document en format XML
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China.</nlm:affiliation></affiliation></author><author><name sortKey="Chen, Xin" sort="Chen, Xin" uniqKey="Chen X" first="Xin" last="Chen">Xin Chen</name><affiliation><nlm:affiliation>Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Chen, Peng" sort="Chen, Peng" uniqKey="Chen P" first="Peng" last="Chen">Peng Chen</name><affiliation><nlm:affiliation>Department of Respiratory Medicine, Hubei Aerospace Hospital, Xiaogan 432000, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Antoine, Malyn Martha Lilac Ketisha" sort="Antoine, Malyn Martha Lilac Ketisha" uniqKey="Antoine M" first="Malyn Martha Lilac Ketisha" last="Antoine">Malyn Martha Lilac Ketisha Antoine</name><affiliation><nlm:affiliation>Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32725148</idno><idno type="pmid">32725148</idno><idno type="doi">10.1042/BSR20200817</idno><idno type="pmc">PMC7414516</idno><idno type="wicri:Area/Main/Corpus">000953</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000953</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Blood routine test in mild and common 2019 coronavirus (COVID-19) patients.</title><author><name sortKey="Djakpo, Dodji Kossi" sort="Djakpo, Dodji Kossi" uniqKey="Djakpo D" first="Dodji Kossi" last="Djakpo">Dodji Kossi Djakpo</name><affiliation><nlm:affiliation>Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Zhiquan" sort="Wang, Zhiquan" uniqKey="Wang Z" first="Zhiquan" last="Wang">Zhiquan Wang</name><affiliation><nlm:affiliation>Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhang, Rong" sort="Zhang, Rong" uniqKey="Zhang R" first="Rong" last="Zhang">Rong Zhang</name><affiliation><nlm:affiliation>Department of Neurology, Hubei Aerospace Hospital, Xiaogan 432000, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Chen, Xin" sort="Chen, Xin" uniqKey="Chen X" first="Xin" last="Chen">Xin Chen</name><affiliation><nlm:affiliation>Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Chen, Peng" sort="Chen, Peng" uniqKey="Chen P" first="Peng" last="Chen">Peng Chen</name><affiliation><nlm:affiliation>Department of Respiratory Medicine, Hubei Aerospace Hospital, Xiaogan 432000, Hubei, China.</nlm:affiliation></affiliation></author><author><name sortKey="Antoine, Malyn Martha Lilac Ketisha" sort="Antoine, Malyn Martha Lilac Ketisha" uniqKey="Antoine M" first="Malyn Martha Lilac Ketisha" last="Antoine">Malyn Martha Lilac Ketisha Antoine</name><affiliation><nlm:affiliation>Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Bioscience reports</title><idno type="eISSN">1573-4935</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>Asymptomatic Diseases (MeSH)</term><term>Betacoronavirus (pathogenicity)</term><term>Blood Cell Count (MeSH)</term><term>C-Reactive Protein (metabolism)</term><term>China (epidemiology)</term><term>Comorbidity (MeSH)</term><term>Coronary Disease (blood)</term><term>Coronary Disease (diagnosis)</term><term>Coronary Disease (epidemiology)</term><term>Coronary Disease (physiopathology)</term><term>Coronavirus Infections (blood)</term><term>Coronavirus Infections (diagnosis)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (physiopathology)</term><term>Diabetes Mellitus (blood)</term><term>Diabetes Mellitus (diagnosis)</term><term>Diabetes Mellitus (epidemiology)</term><term>Diabetes Mellitus (physiopathology)</term><term>Erythrocyte Indices (MeSH)</term><term>Erythrocytes (pathology)</term><term>Erythrocytes (virology)</term><term>Female (MeSH)</term><term>Hematocrit (MeSH)</term><term>Hemoglobins (metabolism)</term><term>Humans (MeSH)</term><term>Hypertension (blood)</term><term>Hypertension (diagnosis)</term><term>Hypertension (epidemiology)</term><term>Hypertension (physiopathology)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (blood)</term><term>Pneumonia, Viral (diagnosis)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (physiopathology)</term><term>Respiratory Insufficiency (blood)</term><term>Respiratory Insufficiency (diagnosis)</term><term>Respiratory Insufficiency (epidemiology)</term><term>Respiratory Insufficiency (physiopathology)</term><term>Retrospective Studies (MeSH)</term><term>Severity of Illness Index (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>C-Reactive Protein</term><term>Hemoglobins</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>Coronary Disease</term><term>Coronavirus Infections</term><term>Diabetes Mellitus</term><term>Hypertension</term><term>Pneumonia, Viral</term><term>Respiratory Insufficiency</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronary Disease</term><term>Coronavirus Infections</term><term>Diabetes Mellitus</term><term>Hypertension</term><term>Pneumonia, Viral</term><term>Respiratory Insufficiency</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronary Disease</term><term>Coronavirus Infections</term><term>Diabetes Mellitus</term><term>Hypertension</term><term>Pneumonia, Viral</term><term>Respiratory Insufficiency</term></keywords><keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Betacoronavirus</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Erythrocytes</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Coronary Disease</term><term>Coronavirus Infections</term><term>Diabetes Mellitus</term><term>Hypertension</term><term>Pneumonia, Viral</term><term>Respiratory Insufficiency</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Erythrocytes</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Asymptomatic Diseases</term><term>Blood Cell Count</term><term>Comorbidity</term><term>Erythrocyte Indices</term><term>Female</term><term>Hematocrit</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Retrospective Studies</term><term>Severity of Illness Index</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The new 2019 coronavirus disease (COVID-19), according to the World Health Organization (WHO), has been characterized as a pandemic. As more is being discovered about this virus, we aim to report findings of the complete blood count (CBC) of COVID-19 patients. This would serve in providing physicians with important knowledge on the changes that can be expected from the CBC of mild and normal COVID-19 patients. A total of 208 mild and common patients were admitted at the Dongnan Hospital located in the city of Xiaogan, Hubei, China. The CBCs of these patients, following a confirmed diagnosis of COVID-19, were retrospectively analyzed and a significant P<0.05 was found after a full statistical analysis was conducted using the Statistical Package for the Social Sciences (IBM SPSS). CBC analysis revealed changes in the levels of red blood cells (RBCs), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), and C-reactive protein (CRP). Clinicians should expect similar findings when dealing with the new COVID-19.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32725148</PMID><DateCompleted><Year>2020</Year><Month>08</Month><Day>28</Day></DateCompleted><DateRevised><Year>2020</Year><Month>08</Month><Day>28</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1573-4935</ISSN><JournalIssue CitedMedium="Internet"><Volume>40</Volume><Issue>8</Issue><PubDate><Year>2020</Year><Month>08</Month><Day>28</Day></PubDate></JournalIssue><Title>Bioscience reports</Title><ISOAbbreviation>Biosci Rep</ISOAbbreviation></Journal><ArticleTitle>Blood routine test in mild and common 2019 coronavirus (COVID-19) patients.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">BSR20200817</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1042/BSR20200817</ELocationID><Abstract><AbstractText>The new 2019 coronavirus disease (COVID-19), according to the World Health Organization (WHO), has been characterized as a pandemic. As more is being discovered about this virus, we aim to report findings of the complete blood count (CBC) of COVID-19 patients. This would serve in providing physicians with important knowledge on the changes that can be expected from the CBC of mild and normal COVID-19 patients. A total of 208 mild and common patients were admitted at the Dongnan Hospital located in the city of Xiaogan, Hubei, China. The CBCs of these patients, following a confirmed diagnosis of COVID-19, were retrospectively analyzed and a significant P<0.05 was found after a full statistical analysis was conducted using the Statistical Package for the Social Sciences (IBM SPSS). CBC analysis revealed changes in the levels of red blood cells (RBCs), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), and C-reactive protein (CRP). Clinicians should expect similar findings when dealing with the new COVID-19.</AbstractText><CopyrightInformation>© 2020 The Author(s).</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y" EqualContrib="Y"><LastName>Djakpo</LastName><ForeName>Dodji Kossi</ForeName><Initials>DK</Initials><AffiliationInfo><Affiliation>Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Wang</LastName><ForeName>Zhiquan</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y" EqualContrib="Y"><LastName>Zhang</LastName><ForeName>Rong</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Neurology, Hubei Aerospace Hospital, Xiaogan 432000, Hubei, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Xin</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Peng</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Department of Respiratory Medicine, Hubei Aerospace Hospital, Xiaogan 432000, Hubei, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Antoine</LastName><ForeName>Malyn Martha Lilac Ketisha</ForeName><Initials>MMLK</Initials><AffiliationInfo><Affiliation>Department of Endocrinology, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D064888">Observational Study</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Biosci Rep</MedlineTA><NlmUniqueID>8102797</NlmUniqueID><ISSNLinking>0144-8463</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D006454">Hemoglobins</NameOfSubstance></Chemical><Chemical><RegistryNumber>9007-41-4</RegistryNumber><NameOfSubstance UI="D002097">C-Reactive Protein</NameOfSubstance></Chemical></ChemicalList><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</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="D058070" MajorTopicYN="N">Asymptomatic Diseases</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName><QualifierName UI="Q000472" MajorTopicYN="Y">pathogenicity</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D001772" MajorTopicYN="N">Blood Cell Count</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002097" MajorTopicYN="N">C-Reactive Protein</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015897" MajorTopicYN="N">Comorbidity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003327" MajorTopicYN="N">Coronary 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MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004909" MajorTopicYN="N">Erythrocyte Indices</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004912" MajorTopicYN="N">Erythrocytes</DescriptorName><QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006400" MajorTopicYN="N">Hematocrit</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006454" MajorTopicYN="N">Hemoglobins</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006973" MajorTopicYN="N">Hypertension</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName></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="Q000097" MajorTopicYN="N">blood</QualifierName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000503" 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