血液学和生物化学参数的动态变化在预测COVID-19患者死亡率方面的作用
Emine Celik Tellioglu1, Ahsen Oncul2, Husrev Diktas2
1Department of Infectious Diseases, University of Health Sciences Türkiye, Gaziosmanpasa Training and Research Hospital, Istanbul, Türkiye.
概括
血液学和生化标志物,如前素 (PCT),乳酸脱酶 (LDH) 和C反应蛋白 (CRP) 能够有效预测COVID-19患者的死亡率. 早期识别高风险患者对于及时干预和改善结果至关重要.
科学领域:
- 临床医学 临床医学
- 传染性疾病 传染性疾病
- 生物化学 生化学
背景情况:
- 由于COVID-19带来了显著的死亡风险,因此需要及早识别高风险患者.
- 生物标志物在评估疾病严重程度和预后方面发挥着至关重要的作用.
研究的目的:
- 研究血液学,炎症和生物化学参数作为COVID-19中的生物标志物的作用.
- 识别风险患者的早期指标并预测预后.
主要方法:
- 分析了485名住院COVID-19患者的人口统计,临床和实验室数据 (完整血清,CRP,PCT,费里丁,LDH,白蛋白).
- 基于住院死亡率的患者组比较.
- 单变量和多变量逻辑回归模型用于识别死亡率预测因素.
主要成果:
- 升高的公素 (PCT),乳酸脱酶 (LDH) 和低的淋巴细胞 (LE) 在入院时的数量独立地与住院死亡有关.
- 高龄也是死亡率的重要预测因素.
- PCT,CRP和LDH在预测随访第三天和第七天死亡时表现出高准确度 (AUC>0.83).
结论:
- 白细胞,淋巴细胞,NLR,CRP,PCT,费里丁,白蛋白和LDH在入院时对于预测COVID-19的不良预后非常有价值.
- 随访期间PCT,LDH和CRP的增加可以预测医院内死亡,并确定需要密切监测的患者.
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