The evaluation of prognostic value of acute phase reactants in the COVID-19.
Identifieur interne : 000148 ( Main/Exploration ); précédent : 000147; suivant : 000149The evaluation of prognostic value of acute phase reactants in the COVID-19.
Auteurs : B. Yormaz ; D. Ergun ; B. Tulek ; R. Ergun ; K M Korez ; M. Suerdem ; F. KanatSource :
- Bratislavske lekarske listy [ 0006-9248 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Comorbidité (MeSH), Diabète (épidémiologie), Femelle (MeSH), Humains (MeSH), Hypertension artérielle (épidémiologie), Infections à coronavirus (diagnostic), Infections à coronavirus (épidémiologie), Jeune adulte (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (diagnostic), Pneumopathie virale (épidémiologie), Pronostic (MeSH), Protéine de la phase aigüe (analyse), Slovaquie (épidémiologie), Sujet âgé (MeSH).
- MESH :
- analyse : Protéine de la phase aigüe.
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : Diabète, Hypertension artérielle, Infections à coronavirus, Pneumopathie virale, Slovaquie.
- Adulte, Adulte d'âge moyen, Betacoronavirus, Comorbidité, Femelle, Humains, Jeune adulte, Mâle, Pandémies, Pronostic, Sujet âgé.
- Wicri :
- geographic : Slovaquie.
English descriptors
- KwdEn :
- Acute-Phase Proteins (analysis), Adult (MeSH), Aged (MeSH), Betacoronavirus (MeSH), Comorbidity (MeSH), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Diabetes Mellitus (epidemiology), Female (MeSH), Humans (MeSH), Hypertension (epidemiology), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Pneumonia, Viral (epidemiology), Prognosis (MeSH), Slovakia (epidemiology), Young Adult (MeSH).
- MESH :
- chemical , analysis : Acute-Phase Proteins.
- geographic , epidemiology : Slovakia.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- epidemiology : Coronavirus Infections, Diabetes Mellitus, Hypertension, Pneumonia, Viral.
- Adult, Aged, Betacoronavirus, Comorbidity, Female, Humans, Male, Middle Aged, Pandemics, Prognosis, Young Adult.
Abstract
AIMS
The aim of this study was to explain the demographic data, comorbidity and laboratory findings of our first cases in COVID-19 pneumonia in our country.
METHODS
We gathered the data of COVID-19 pneumonia participants from our electronic medical system, including daily medical knowledge and laboratory, radiological, and microbiological results between March 10 to April 7, 2020.
RESULTS
Totally, 125 patients, whose findings were compatible with COVID-19, were included in the study, 42 patients were excluded from the study. The distribution of genders was, 39 females (46.9 %), 44 males (53.01 %), the average age was 56.36 ± 16.25 (19-85). Hypertension above 60 years of age and diabetes mellitus under 60 years of age were the most common comorbidities. Neutrophils/ Lymphocyte percent(% NLR) was noted in 44 (53.01 %) patients, average: 3 (range 1.78-4.63). There was a statistically significant and positive relationship between D-dimer and C Reactive Protein (CRP) and ferritin.
CONCLUSION
We detected that comorbidities, which were seen at COVID-19 disease differ according to the patients age. Besides that D-dimer, ferritin and CRP outcomes were particularly high and had a significant correlation with COVID-19 severity (Tab. 3, Fig. 2, Ref. 25). Text in PDF www.elis.sk Keywords: COVID-19, prognosis, acute phase reactan.
DOI: 10.4149/BLL_2020_103
PubMed: 32990010
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Kanat</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32990010</idno><idno type="pmid">32990010</idno><idno type="doi">10.4149/BLL_2020_103</idno><idno type="wicri:Area/Main/Corpus">000062</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000062</idno><idno type="wicri:Area/Main/Curation">000062</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000062</idno><idno type="wicri:Area/Main/Exploration">000062</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">The evaluation of prognostic value of acute phase reactants in the COVID-19.</title><author><name sortKey="Yormaz, B" sort="Yormaz, B" uniqKey="Yormaz B" first="B" last="Yormaz">B. Yormaz</name></author><author><name sortKey="Ergun, D" sort="Ergun, D" uniqKey="Ergun D" first="D" last="Ergun">D. Ergun</name></author><author><name sortKey="Tulek, B" sort="Tulek, B" uniqKey="Tulek B" first="B" last="Tulek">B. Tulek</name></author><author><name sortKey="Ergun, R" sort="Ergun, R" uniqKey="Ergun R" first="R" last="Ergun">R. Ergun</name></author><author><name sortKey="Korez, K M" sort="Korez, K M" uniqKey="Korez K" first="K M" last="Korez">K M Korez</name></author><author><name sortKey="Suerdem, M" sort="Suerdem, M" uniqKey="Suerdem M" first="M" last="Suerdem">M. Suerdem</name></author><author><name sortKey="Kanat, F" sort="Kanat, F" uniqKey="Kanat F" first="F" last="Kanat">F. Kanat</name></author></analytic><series><title level="j">Bratislavske lekarske listy</title><idno type="ISSN">0006-9248</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Acute-Phase Proteins (analysis)</term><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Comorbidity (MeSH)</term><term>Coronavirus Infections (diagnosis)</term><term>Coronavirus Infections (epidemiology)</term><term>Diabetes Mellitus (epidemiology)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Hypertension (epidemiology)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (diagnosis)</term><term>Pneumonia, Viral (epidemiology)</term><term>Prognosis (MeSH)</term><term>Slovakia (epidemiology)</term><term>Young Adult (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>Comorbidité (MeSH)</term><term>Diabète (épidémiologie)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Hypertension artérielle (épidémiologie)</term><term>Infections à coronavirus (diagnostic)</term><term>Infections à coronavirus (épidémiologie)</term><term>Jeune adulte (MeSH)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (diagnostic)</term><term>Pneumopathie virale (épidémiologie)</term><term>Pronostic (MeSH)</term><term>Protéine de la phase aigüe (analyse)</term><term>Slovaquie (épidémiologie)</term><term>Sujet âgé (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Acute-Phase Proteins</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Slovakia</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Protéine de la phase aigüe</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" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Diabetes Mellitus</term><term>Hypertension</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Diabète</term><term>Hypertension artérielle</term><term>Infections à coronavirus</term><term>Pneumopathie virale</term><term>Slovaquie</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Betacoronavirus</term><term>Comorbidity</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Prognosis</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Betacoronavirus</term><term>Comorbidité</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Mâle</term><term>Pandémies</term><term>Pronostic</term><term>Sujet âgé</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Slovaquie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>AIMS</b></p><p>The aim of this study was to explain the demographic data, comorbidity and laboratory findings of our first cases in COVID-19 pneumonia in our country.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>We gathered the data of COVID-19 pneumonia participants from our electronic medical system, including daily medical knowledge and laboratory, radiological, and microbiological results between March 10 to April 7, 2020.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Totally, 125 patients, whose findings were compatible with COVID-19, were included in the study, 42 patients were excluded from the study. The distribution of genders was, 39 females (46.9 %), 44 males (53.01 %), the average age was 56.36 ± 16.25 (19-85). Hypertension above 60 years of age and diabetes mellitus under 60 years of age were the most common comorbidities. Neutrophils/ Lymphocyte percent(% NLR) was noted in 44 (53.01 %) patients, average: 3 (range 1.78-4.63). There was a statistically significant and positive relationship between D-dimer and C Reactive Protein (CRP) and ferritin.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>We detected that comorbidities, which were seen at COVID-19 disease differ according to the patients age. Besides that D-dimer, ferritin and CRP outcomes were particularly high and had a significant correlation with COVID-19 severity (Tab. 3, Fig. 2, Ref. 25). Text in PDF www.elis.sk Keywords: COVID-19, prognosis, acute phase reactan.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32990010</PMID><DateCompleted><Year>2020</Year><Month>10</Month><Day>01</Day></DateCompleted><DateRevised><Year>2020</Year><Month>10</Month><Day>01</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0006-9248</ISSN><JournalIssue CitedMedium="Print"><Volume>121</Volume><Issue>9</Issue><PubDate><Year>2020</Year></PubDate></JournalIssue><Title>Bratislavske lekarske listy</Title><ISOAbbreviation>Bratisl Lek Listy</ISOAbbreviation></Journal><ArticleTitle>The evaluation of prognostic value of acute phase reactants in the COVID-19.</ArticleTitle><Pagination><MedlinePgn>628-633</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.4149/BLL_2020_103</ELocationID><Abstract><AbstractText Label="AIMS" NlmCategory="OBJECTIVE">The aim of this study was to explain the demographic data, comorbidity and laboratory findings of our first cases in COVID-19 pneumonia in our country.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">We gathered the data of COVID-19 pneumonia participants from our electronic medical system, including daily medical knowledge and laboratory, radiological, and microbiological results between March 10 to April 7, 2020.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Totally, 125 patients, whose findings were compatible with COVID-19, were included in the study, 42 patients were excluded from the study. The distribution of genders was, 39 females (46.9 %), 44 males (53.01 %), the average age was 56.36 ± 16.25 (19-85). Hypertension above 60 years of age and diabetes mellitus under 60 years of age were the most common comorbidities. Neutrophils/ Lymphocyte percent(% NLR) was noted in 44 (53.01 %) patients, average: 3 (range 1.78-4.63). There was a statistically significant and positive relationship between D-dimer and C Reactive Protein (CRP) and ferritin.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">We detected that comorbidities, which were seen at COVID-19 disease differ according to the patients age. Besides that D-dimer, ferritin and CRP outcomes were particularly high and had a significant correlation with COVID-19 severity (Tab. 3, Fig. 2, Ref. 25). Text in PDF www.elis.sk Keywords: COVID-19, prognosis, acute phase reactan.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Yormaz</LastName><ForeName>B</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>Ergun</LastName><ForeName>D</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Tulek</LastName><ForeName>B</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>Ergun</LastName><ForeName>R</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Korez</LastName><ForeName>K M</ForeName><Initials>KM</Initials></Author><Author ValidYN="Y"><LastName>Suerdem</LastName><ForeName>M</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Kanat</LastName><ForeName>F</ForeName><Initials>F</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Slovakia</Country><MedlineTA>Bratisl Lek Listy</MedlineTA><NlmUniqueID>0065324</NlmUniqueID><ISSNLinking>0006-9248</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000209">Acute-Phase Proteins</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="D000209" MajorTopicYN="N">Acute-Phase Proteins</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><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="D015897" MajorTopicYN="N">Comorbidity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003920" MajorTopicYN="N">Diabetes Mellitus</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006973" MajorTopicYN="N">Hypertension</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</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="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011379" MajorTopicYN="N">Prognosis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018154" MajorTopicYN="N" Type="Geographic">Slovakia</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>29</Day><Hour>8</Hour><Minute>48</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>9</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>10</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32990010</ArticleId><ArticleId IdType="doi">10.4149/BLL_2020_103</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list></list><tree><noCountry><name sortKey="Ergun, D" sort="Ergun, D" uniqKey="Ergun D" first="D" last="Ergun">D. Ergun</name><name sortKey="Ergun, R" sort="Ergun, R" uniqKey="Ergun R" first="R" last="Ergun">R. Ergun</name><name sortKey="Kanat, F" sort="Kanat, F" uniqKey="Kanat F" first="F" last="Kanat">F. Kanat</name><name sortKey="Korez, K M" sort="Korez, K M" uniqKey="Korez K" first="K M" last="Korez">K M Korez</name><name sortKey="Suerdem, M" sort="Suerdem, M" uniqKey="Suerdem M" first="M" last="Suerdem">M. Suerdem</name><name sortKey="Tulek, B" sort="Tulek, B" uniqKey="Tulek B" first="B" last="Tulek">B. Tulek</name><name sortKey="Yormaz, B" sort="Yormaz, B" uniqKey="Yormaz B" first="B" last="Yormaz">B. Yormaz</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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