{"title":"Estimation of some Inflammatory Markers in Covid-19 Patients in Erbil / City","authors":"shayma Muhammed, S. Darogha","doi":"10.33899/rjs.2024.182821","DOIUrl":null,"url":null,"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.","PeriodicalId":20803,"journal":{"name":"Rafidain journal of science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rafidain journal of science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33899/rjs.2024.182821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.