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Estimation of some Inflammatory Markers in Covid-19 Patients in Erbil / City | ||
| Rafidain Journal of Science | ||
| Volume 33, Issue 1, March 2024, Pages 10-22 PDF (597.46 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/rjs.2024.182821 | ||
| Authors | ||
| shayma Muhammed1; Suhaila N. Darogha2 | ||
| 1Biology department/Education college/Salahaddin University/Erbil/Iraq | ||
| 2Department of Biology/ College of Education/ Salahaddin University/ Erbil | ||
| Abstract | ||
| The 2019 pandemic coronavirus disease has affected millions of individuals globally. The objective of the present study is to assess the possible predictors of CoV-2 severity and to identify the possible correlation between patients' parameters and disease severity, Consequently, we aimed to measure the serum levels of some inflammatory markers, including CRP, D-dimer, Ferritin, and Procalcitonin, as a biomarker for disease severity in CoV-2 patients. A total of 280 nasopharyngeal swabs and whole blood specimens were collected from healthy individuals and individuals suspected with CoV-2 between June 2021 and December 2021 of both sexes, categorized into four main groups: 70 healthy individuals with an age range (23-70), 210 CoV-2 patients in which their ages were between (21-75), (70 patients per mild, moderate and severe patients). According to our findings CoV-2 patients’ groups had leukocytosis, with a significant increase in WBC and Granulocytes count, and a significant decrease in Lymphocyte and platelet. In regard to inflammatory parameters, CRP, D-dimer, ferritin and PCT showed significant differences between the CoV-2 patients groups compare to the control group, these inflammatory biomarkers were significantly elevated in CoV-2 patients group compared to healthy control group (P<0.005). The optimal cut-off values for CRP, D-dimer, Ferritin, and PCT were determined by Receiver Operating Characteristic (ROC) Curve Analysis in CoV-2 patients. In conclusion, Inflammation biomarkers are the best predictors of severe CoV-2, and the combination of clinical signs can further predict severe CoV-2. | ||
| Keywords | ||
| COVID-19; SARS-CoV-2; CoV-2 Pandemic; Hematological parameter; Inflammatory biomarkers | ||
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