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基线和实验室参数的早期变化预测了COVID-19患者的疾病严重程度和致命结果

Addisu Gize^1,2, Yerega Belete¹, Melkayehu Kassa¹

¹School of Medicine, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.

Frontiers in public health

|December 28, 2023

概括

简单的实验室测试可以预测COVID-19的严重程度和患者的结果. 在2019年冠状病毒病 (COVID-19) 患者中,较高的红细胞计数和淋巴细胞百分比表明更好的生存率,有助于在流行病期间分配资源.

科学领域:

医学科学医学科学医学科学
传染性疾病传染性疾病
临床病理学临床病理学

背景情况:

冠状病毒疾病2019 (COVID-19) 已造成全球灾难,导致数百万人死亡.
了解早期实验室参数和患者结果之间的相关性对于管理COVID-19至关重要.

研究的目的:

评估与COVID-19疾病严重程度和结果相关的社会人口因素和测量参数.
为了确定简单,廉价的实验室标记物来预测COVID-19的预后.

主要方法:

进行了一项时间序列横截面研究.
分析了268名PCR确诊的COVID-19患者的数据.
关键的实验室参数和人口因素与疾病结局进行了评估.

主要成果:

已故的COVID-19患者比幸存者 (平均年龄54岁) 年龄大得多 (平均年龄61岁).
与未幸存者相比,幸存者表现出较高的红细胞计数,淋巴细胞百分比和单细胞百分比.
幸存下来严重/危急的COVID-19患者的中性粒细胞百分比和中性粒细胞对淋巴细胞的比率低于那些死亡的患者.

结论:

简单的实验室参数可以有效预测COVID-19的严重程度和患者的结果.
这些易于获得和廉价的标记可以指导资源分配在资源有限的设置.
这些发现对管理未来的病毒流行病和流行病有影响.

关键词:

在 COVID-19 疫情中,实验室参数实验室参数死亡率死亡率资源有限的国家资源有限的国家严重程度的严重程度.

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