在接种疫苗和未接种疫苗的个体中预测COVID-19后免疫反应的血液学参数:一个回顾性横截面研究
Qaisar A Khan1, Tahira Atta2, Tamara Tango3
1Khyber Teaching Hospital MTI KTH, Peshawar.
Annals of medicine and surgery (2012)
|June 7, 2024
概括
健康个体的血液学参数可以预测COVID-19免疫状态. 这一发现适用于接种疫苗和未接种疫苗的个人,为免疫反应提供了洞察力.
科学领域:
- 血液学 血液学 血液学
- 免疫学 免疫学 免疫学
- 传染性疾病 传染性疾病
背景情况:
- 调查血液学参数以评估对2019年新冠肺炎疾病 (COVID-19) 的免疫状态.
- 在COVID-19接种疫苗和未接种疫苗的个体中比较免疫状态.
研究的目的:
- 为了确定血液学参数的变化是否可以预测COVID-19免疫状态.
- 评估在接种疫苗和未接种疫苗的人群中血液学参数的预测值.
主要方法:
- 一项涉及210名健康个体的比较横截面研究.
- 参与者通过ELISA被分为IgG阳性,IgG阴性以及IgG和IgM阳性组.
- 使用SPSS版本25进行的统计分析.
主要成果:
- 在血红蛋白 (Hb),血红素 (Hct),体内血红素平均度 (MCHC),红细胞 (RBC),RDW-CV,淋巴细胞,中性细胞,乙氨基细胞和基细胞数量中观察到的统计学上显著的差异.
- 52.8%具有阳性IgG抗体的参与者没有接种疫苗或以前的COVID-19感染史.
- 血液学参数显示免疫和非免疫组之间存在显著差异.
结论:
- 血液学参数显示免疫和非免疫个体之间的统计学上显著差异.
- 这些参数可以有效地预测COVID-19免疫状态.
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