在COVID-19中的血液学发现及其与疾病严重程度的相关性
Namra Mahmood1, Zahra Riaz2, Arooj Sattar3
1Namra Mahmood, MBBS, M.Phil. Assistant Professor, Pathology. Central Park Medical College, Lahore - Pakistan.
某些血液学参数可以预测COVID-19的严重程度. 增加的白细胞总数,绝对中性粒细胞数和中性粒细胞淋巴细胞比率表明COVID-19患者的死亡和发病风险更高.
科学领域:
- 医学研究 医学研究
- 血液学 血液学 血液学
- 传染性疾病 传染性疾病
背景情况:
- COVID-19 构成了全球健康的重大威胁.
- 预测疾病严重程度对于患者管理和资源分配至关重要.
- 血液学参数很容易获得,可以提供有关炎症过程的见解.
研究的目的:
- 评估血液学参数在预测COVID-19的严重程度方面的有效性.
- 在COVID-19患者中识别与严重或危急疾病相关的特定血液标记物.
主要方法:
- 进行了一项横截面的比较研究.
- 来自50名COVID-19患者 (PCR阳性) 的数据被归纳到医院病房和重症监护室,被追溯分析.
- 血液学参数包括白细胞计数,中性粒细胞计数,淋巴细胞计数和中性粒细胞-淋巴细胞比率在严重/关键和非严重组之间进行了比较.
主要成果:
- 严重/危急组的患者平均年龄较大.
- 在严重/关键组中,总白细胞计数 (p=0.002),绝对中性粒细胞计数 (p=0.045) 和中性粒细胞淋巴细胞比率 (NLR) (p=0.00) 中观察到有统计学意义的差异.
- 血红蛋白,淋巴细胞计数,血小板计数和激活的部分血栓形成时间 (APTT) 在两组之间没有显著差异.
结论:
- 总白细胞计数,绝对中性粒细胞计数和中性粒细胞淋巴细胞比率是COVID-19患者住院死亡率和发病率的有效预测指标.
- 这些血液学标记可以帮助早期识别高风险个体.
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