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

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Suhayla K. Mohammed
Muzahem Mohialdeen Taha
Ekhlass M. Taha
Massara Najim Abdulla Mohammad


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.


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Mohammed SK, Taha MM, Taha EM, Mohammad MNA. Cluster Analysis of Biochemical Markers as Predictor of COVID-19 Severity. Baghdad Sci.J [Internet]. 2022 Dec. 5 [cited 2023 Jan. 28];19(6(Suppl.):1423. Available from:


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