دورية أكاديمية
Cluster Analysis of Biochemical Markers as Predictor of COVID-19 Severity
العنوان: | Cluster Analysis of Biochemical Markers as Predictor of COVID-19 Severity |
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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 |
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