Cluster analysis of biochemical markers as predictor of COVID-19 severity
Baghdad Science Journal
; 19(6(Suppl):1423-1429, 2022.
Article
in English
| CAB Abstracts | ID: covidwho-2272537
ABSTRACT
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.
Prion; Viral; Bacterial and Fungal Pathogens of Humans [VV210], Diagnosis of Human Disease [VV720], lactate dehydrogenase, biochemical markers, coronavirus disease 2019, viral diseases, disease markers, C-reactive protein, ferritin, human diseases, transferrin, Severe acute respiratory syndrome coronavirus 2, man, Severe acute respiratory syndrome-related coronavirus, Betacoronavirus, Coronavirinae, Coronaviridae, Nidovirales, positive-sense ssRNA Viruses, ssRNA Viruses, RNA Viruses, viruses, Homo, Hominidae, primates, mammals, vertebrates, Chordata, animals, eukaryotes, SARS-CoV-2, biomarkers, viral infections
Full text:
Available
Collection:
Databases of international organizations
Database:
CAB Abstracts
Type of study:
Prognostic study
Language:
English
Journal:
Baghdad Science Journal
Year:
2022
Document Type:
Article
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