دورية أكاديمية

Cluster Analysis of Biochemical Markers as Predictor of COVID-19 Severity

التفاصيل البيبلوغرافية
العنوان: Cluster Analysis of Biochemical Markers as Predictor of COVID-19 Severity
المؤلفون: Suhayla K. Mohammed, Muzahem Mohialdeen Taha, Ekhlass M. Taha, Massara Najim Abdulla Mohammad
المصدر: Baghdad Science Journal, Vol 19, Iss 6(Suppl.) (2022)
بيانات النشر: College of Science for Women, University of Baghdad
سنة النشر: 2022
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: COVID-19, Cluster Analysis, C- reactive protein CRP, D-dimer, Ferritin, Lactate dehydrogenase LDH, Science
الوصف: Numerous blood biomarkers are altered in COVID-19 patients; however, no early biochemical markers are currently being used in clinical practice to predict COVID-19 severity. COVID-19, the most recent pandemic, is caused by the SRS-CoV-2 coronavirus. The study was aimed to identify patient groups with a high and low risk of developing COVID-19 using a cluster analysis of several biomarkers. 137 women with confirmed SARS CoV-2 RNA testing were collected and analyzed for biochemical profiles. Two-dimensional automated hierarchy clustering of all biomarkers was applied, and patients were sorted into classes. Biochemistry marker variations (Ferritin, lactate dehydrogenase LDH, D-dimer, and C- reactive protein CRP) have split COVID-19 patients into two groups(severe cases and non-severe cases groups). Ferritin, lactate dehydrogenase LDH, D-dimer and CRP were markedly increased in COVID-19 patients in the first group (severe cases). Our findings imply that early measured levels of (Ferritin, lactate dehydrogenase LDH, D-dimer, and C- reactive protein CRP) are linked to a decreased probability of COVID-19 severity. Elevated levels of this biomarker may predict COVID severity development.
نوع الوثيقة: article in journal/newspaper
اللغة: Arabic
English
تدمد: 2078-8665
2411-7986
العلاقة: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7454Test; https://doaj.org/toc/2078-8665Test; https://doaj.org/toc/2411-7986Test; https://doaj.org/article/e9e52148d12d4d8aac29fd3984635215Test
DOI: 10.21123/bsj.2022.7454
الإتاحة: https://doi.org/10.21123/bsj.2022.7454Test
https://doaj.org/article/e9e52148d12d4d8aac29fd3984635215Test
رقم الانضمام: edsbas.6EF8E504
قاعدة البيانات: BASE
ResultId 1
Header edsbas
BASE
edsbas.6EF8E504
947
3
Academic Journal
academicJournal
947.047973632813
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsbas&AN=edsbas.6EF8E504&custid=s6537998&authtype=sso
FullText Array ( [Availability] => 0 )
Array ( [0] => Array ( [Url] => https://doi.org/10.21123/bsj.2022.7454# [Name] => EDS - BASE [Category] => fullText [Text] => View record in BASE [MouseOverText] => View record in BASE ) )
Items Array ( [Name] => Title [Label] => Title [Group] => Ti [Data] => Cluster Analysis of Biochemical Markers as Predictor of COVID-19 Severity )
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Suhayla+K%2E+Mohammed%22">Suhayla K. Mohammed</searchLink><br /><searchLink fieldCode="AR" term="%22Muzahem+Mohialdeen+Taha%22">Muzahem Mohialdeen Taha</searchLink><br /><searchLink fieldCode="AR" term="%22Ekhlass+M%2E+Taha%22">Ekhlass M. Taha</searchLink><br /><searchLink fieldCode="AR" term="%22Massara+Najim+Abdulla+Mohammad%22">Massara Najim Abdulla Mohammad</searchLink> )
Array ( [Name] => TitleSource [Label] => Source [Group] => Src [Data] => Baghdad Science Journal, Vol 19, Iss 6(Suppl.) (2022) )
Array ( [Name] => Publisher [Label] => Publisher Information [Group] => PubInfo [Data] => College of Science for Women, University of Baghdad )
Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2022 )
Array ( [Name] => Subset [Label] => Collection [Group] => HoldingsInfo [Data] => Directory of Open Access Journals: DOAJ Articles )
Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => <searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+Analysis%22">Cluster Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22C-+reactive+protein+CRP%22">C- reactive protein CRP</searchLink><br /><searchLink fieldCode="DE" term="%22D-dimer%22">D-dimer</searchLink><br /><searchLink fieldCode="DE" term="%22Ferritin%22">Ferritin</searchLink><br /><searchLink fieldCode="DE" term="%22Lactate+dehydrogenase+LDH%22">Lactate dehydrogenase LDH</searchLink><br /><searchLink fieldCode="DE" term="%22Science%22">Science</searchLink> )
Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => Numerous blood biomarkers are altered in COVID-19 patients; however, no early biochemical markers are currently being used in clinical practice to predict COVID-19 severity. COVID-19, the most recent pandemic, is caused by the SRS-CoV-2 coronavirus. The study was aimed to identify patient groups with a high and low risk of developing COVID-19 using a cluster analysis of several biomarkers. 137 women with confirmed SARS CoV-2 RNA testing were collected and analyzed for biochemical profiles. Two-dimensional automated hierarchy clustering of all biomarkers was applied, and patients were sorted into classes. Biochemistry marker variations (Ferritin, lactate dehydrogenase LDH, D-dimer, and C- reactive protein CRP) have split COVID-19 patients into two groups(severe cases and non-severe cases groups). Ferritin, lactate dehydrogenase LDH, D-dimer and CRP were markedly increased in COVID-19 patients in the first group (severe cases). Our findings imply that early measured levels of (Ferritin, lactate dehydrogenase LDH, D-dimer, and C- reactive protein CRP) are linked to a decreased probability of COVID-19 severity. Elevated levels of this biomarker may predict COVID severity development. )
Array ( [Name] => TypeDocument [Label] => Document Type [Group] => TypDoc [Data] => article in journal/newspaper )
Array ( [Name] => Language [Label] => Language [Group] => Lang [Data] => Arabic<br />English )
Array ( [Name] => ISSN [Label] => ISSN [Group] => ISSN [Data] => 2078-8665<br />2411-7986 )
Array ( [Name] => NoteTitleSource [Label] => Relation [Group] => SrcInfo [Data] => https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7454; https://doaj.org/toc/2078-8665; https://doaj.org/toc/2411-7986; https://doaj.org/article/e9e52148d12d4d8aac29fd3984635215 )
Array ( [Name] => DOI [Label] => DOI [Group] => ID [Data] => 10.21123/bsj.2022.7454 )
Array ( [Name] => URL [Label] => Availability [Group] => URL [Data] => https://doi.org/10.21123/bsj.2022.7454<br />https://doaj.org/article/e9e52148d12d4d8aac29fd3984635215 )
Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsbas.6EF8E504 )
RecordInfo Array ( [BibEntity] => Array ( [Identifiers] => Array ( [0] => Array ( [Type] => doi [Value] => 10.21123/bsj.2022.7454 ) ) [Languages] => Array ( [0] => Array ( [Text] => Arabic ) [1] => Array ( [Text] => English ) ) [Subjects] => Array ( [0] => Array ( [SubjectFull] => COVID-19 [Type] => general ) [1] => Array ( [SubjectFull] => Cluster Analysis [Type] => general ) [2] => Array ( [SubjectFull] => C- reactive protein CRP [Type] => general ) [3] => Array ( [SubjectFull] => D-dimer [Type] => general ) [4] => Array ( [SubjectFull] => Ferritin [Type] => general ) [5] => Array ( [SubjectFull] => Lactate dehydrogenase LDH [Type] => general ) [6] => Array ( [SubjectFull] => Science [Type] => general ) ) [Titles] => Array ( [0] => Array ( [TitleFull] => Cluster Analysis of Biochemical Markers as Predictor of COVID-19 Severity [Type] => main ) ) ) [BibRelationships] => Array ( [HasContributorRelationships] => Array ( [0] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Suhayla K. Mohammed ) ) ) [1] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Muzahem Mohialdeen Taha ) ) ) [2] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Ekhlass M. Taha ) ) ) [3] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Massara Najim Abdulla Mohammad ) ) ) ) [IsPartOfRelationships] => Array ( [0] => Array ( [BibEntity] => Array ( [Dates] => Array ( [0] => Array ( [D] => 01 [M] => 01 [Type] => published [Y] => 2022 ) ) [Identifiers] => Array ( [0] => Array ( [Type] => issn-print [Value] => 20788665 ) [1] => Array ( [Type] => issn-print [Value] => 24117986 ) [2] => Array ( [Type] => issn-locals [Value] => edsbas ) [3] => Array ( [Type] => issn-locals [Value] => edsbas.oa ) ) [Titles] => Array ( [0] => Array ( [TitleFull] => Baghdad Science Journal, Vol 19, Iss 6(Suppl.) (2022 [Type] => main ) ) ) ) ) ) )
IllustrationInfo