在COVID-19患者的血液学和生物化学实验室参数:重症和死亡率预测者的回顾性建模研究
Ghazaleh Alizad1, Ali Asghar Ayatollahi2, Armin Shariati Samani3
1Department of Immunology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
BioMed research international
|November 29, 2023
概括
常规实验室测试可以预测患者的COVID-19严重程度和死亡风险. 关键预测因素包括年龄,白细胞,血小板和中性粒细胞与淋巴细胞的比例,有助于早期临床评估.
科学领域:
- 医学实验室科学 医学实验室科学
- 传染病流行病学 传染病流行病学
- 临床诊断 临床诊断 临床诊断
背景情况:
- 实验室标记物对于识别严重疾病风险因素和预测疾病结果至关重要.
- COVID-19 构成了重大的全球健康挑战,需要用于严重程度和死亡率预测的工具.
研究的目的:
- 确定伊朗COVID-19患者的严重程度和死亡率的血液学和生物化学实验室预测因素.
- 使用实验室数据开发COVID-19疾病严重程度和患者结果的预测模型.
主要方法:
- 对来自564名伊朗COVID-19确诊病例的医疗记录进行了回顾性分析.
- 将患者分为严重/非严重和康复/死亡组进行对比分析.
- 统计分析,包括后勤回归,以确定重要的预测因素和构建预测模型.
主要成果:
- 老年患者的COVID-19严重程度和死亡率明显较高;性别不是决定性因素.
- 几种血液学标记 (WBC,PLT,NLR,RBC,HGB,HCT,ESR,MCHC) 和生化标记 (BUN,Cr) 准确地预测了严重病例.
- 后勤回归确定了使用年龄,WBC,NLR,PLT,HGB,INR,BUN和LDH的组合模型作为最好的严重性和死亡率预测指标.
结论:
- 在入院时可用的常规实验室参数可以有效预测COVID-19的严重程度和死亡风险.
- 这些发现支持使用一组实验室测试用于COVID-19患者早期风险分层和临床决策.
- 该研究强调了可访问的实验室数据在管理严重传染病中的有用性.
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