Estimation of some Inflammatory Markers in Covid-19 Patients in Erbil / City

shayma Muhammed, S. Darogha
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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.
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埃尔比勒市 Covid-19 患者某些炎症指标的估算
2019年大流行的冠状病毒疾病已影响到全球数百万人。本研究旨在评估CoV-2严重程度的可能预测因素,并确定患者参数与疾病严重程度之间可能存在的相关性。因此,我们旨在测量一些炎症标志物的血清水平,包括CRP、D-二聚体、铁蛋白和降钙素原,作为CoV-2患者疾病严重程度的生物标志物。我们在 2021 年 6 月至 2021 年 12 月期间从健康人和 CoV-2 疑似患者中收集了 280 份鼻咽拭子和全血标本,将其分为四大类:70 名健康人,年龄在 23-70 岁之间;210 名 CoV-2 患者,年龄在 21-75 岁之间(轻度、中度和重度患者各 70 人)。根据我们的研究结果,CoV-2 患者组白细胞增多,白细胞和粒细胞计数显著增加,淋巴细胞和血小板显著减少。在炎症指标方面,CRP、D-二聚体、铁蛋白和 PCT 在 CoV-2 患者组与对照组之间存在显著差异,与健康对照组相比,CoV-2 患者组的这些炎症生物标志物明显升高(P<0.005)。CoV-2患者的CRP、D-二聚体、铁蛋白和PCT的最佳临界值是通过接收者操作特征曲线(ROC)分析确定的。总之,炎症生物标志物是预测重症CoV-2的最佳指标,结合临床症状可进一步预测重症CoV-2。
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