泰国COVID-19患者的生物化学和血液学预测死亡率
Supaporn Wiwattanakul1, Rutchaporn Taweerutchana2, Kitsarawut Khuancharee3
1Department of Pathology, HRH Princess Maha Chakri Sirindhorn Medical Center, Faculty of Medicine, Srinakharinwirot University, Nakhon Nayok 26120, Thailand.
Medical sciences (Basel, Switzerland)
|December 24, 2025
概括
年龄,,肌素,血红蛋白A1c和红细胞分布宽度是COVID-19死亡率的关键预测因素. 较低的血小板计数也会增加冠状病毒病患者的死亡风险.
科学领域:
- 临床医学 临床医学
- 生物化学 生物化学
- 血液学 血液学 血液学
背景情况:
- 冠状病毒疾病 (COVID-19) 呈现出各种不同的临床表现,从无症状到致命的结果.
- COVID-19患者的实验室参数波动,并作为疾病监测的关键生物标志物.
- 这项研究调查了生化/血液学标志物与早期COVID-19病例的生存之间的联系.
研究的目的:
- 确定住院COVID-19患者死亡率的显著生化和血液学预测因素.
- 分析特定实验室标记物与患者存活率之间的关联.
主要方法:
- 追溯队列研究分析了来自397名住院COVID-19患者的数据 (2021年3月至12月).
- 纳入标准:成年人 (≥18岁) 具有阳性PCR结果.
- 对与死亡率相关的实验室参数进行了单变量和多变量逻辑回归分析.
主要成果:
- 42名患者 (10.58%) 在住院期间死亡.
- 确定了独立的死亡预测因素:年龄增加,,肌,血红蛋白A1c和红细胞分布宽度.
- 较低的血小板计数与较高的死亡风险显著相关 (aOR = 0.98;95% CI:0.97-0.99).
结论:
- 年龄,,肌,血红蛋白A1c,红细胞分布宽度和血小板数量是COVID-19死亡率的重要预测因素.
- 临床医生在治疗COVID-19患者时应严格评估这些实验室标记物.
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