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血液学参数与COVID-19疾病严重程度之间的关联

Gokul Krishnan¹, Shubhada Karanth¹, Sudha Vidyasagar²

¹Department of General Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.

|October 15, 2024

概括

绝对淋巴细胞计数 (ALC) 和中性粒细胞单细胞比率 (NMR) 等血液学参数可以预测COVID-19的严重程度. 入院时较低的ALC和较高的NMR水平表明成年患者患重病的风险更高.

科学领域:

血液学血液学血液学
传染性疾病传染性疾病
临床医学临床医学

背景情况:

在患者之间,COVID-19的严重程度有很大差异.
血液学参数越来越被认为是疾病严重程度的潜在指标.
了解这些关系可以帮助早期风险分层.

研究的目的:

调查各种血液学参数与COVID-19严重程度之间的关联.
评估这些参数的预测值,以识别严重的COVID-19病例.
为了确定预测严重程度的关键血液学标志物的切断值.

主要方法:

对573名成年COVID-19住院患者进行前性观察性研究.
在非严重和严重的COVID-19组之间比较血液学参数 (TLC,ANC,ALC,NLR,SII,NMR,PLR).
后勤回归和ROC曲线分析以确定预测因素和截止值.

主要成果:

严重的COVID-19病例显示TLC,ANC,NLR,SII,NMR和PLR的中位数水平较高.
绝对淋巴细胞计数 (ALC) 和中性粒细胞单细胞比率 (NMR) 是 COVID-19 严重程度的独立预测指标.
逻辑回归表明NMR (OR=1.029) 和ALC (OR=0.999) 是重要的预测因素.

结论:

血液学参数可以在入院时预测严重的COVID-19.
ALC (<1105细胞/毫米3) 和NMR (>10.434) 作为有价值的血液学标记,用于预测成年COVID-19患者的严重程度.

关键词:

COVID-19; 滴滴传播; 炎症; 血液学; 流行病; SARS-CoV-2

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