危及生命的COVID-19病例中的非传统预后标志物 - - 当少是多的时候
Martin Rozanovic1, Kata Várady-Szabó1, Kamilla Domokos1
1Department of Anaesthesiology and Intensive Care, University of Pécs Medical School, 7624 Pécs, Hungary.
Journal of clinical medicine
|September 28, 2024
概括
中性粒细胞与淋巴细胞的比率 (NLR) 是一种简单,易于使用的标记,可以有效预测严重的COVID-19患者的死亡率. 这项研究强调了它对其他炎症标志物的价值,用于早期风险识别.
科学领域:
- 传染性疾病 传染性疾病
- 关键护理医学 关键护理医学
- 血液学 血液学 血液学
背景情况:
- 严重的SARS-CoV-2感染具有显著的死亡风险.
- 确定疾病进展和死亡率的可靠预测因素对于患者管理至关重要.
- 传统的炎症标志物和新型的非传统标志物需要进行比较评估.
研究的目的:
- 为了比较中性粒细胞与淋巴细胞比率 (NLR),血小板与淋巴细胞比率 (PLR),C反应蛋白 (CRP),公素 (PCT) 和介质素-6 (IL-6) 的预测能力,以确定严重的COVID-19死亡率.
- 评估这些标记物在预测疾病进展方面的有用性.
- 评估NLR作为风险分层的实际工具的潜力.
主要方法:
- 潜在的观察性研究涉及严重疾病的COVID-19患者需要ICU入院.
- 每天收集血液样本,以监测炎症标志物,包括NLR,PLR,CRP,PCT和IL-6.
- 使用非正常分布方法的SPSS进行统计分析,包括ROC和多变量后勤回归.
主要成果:
- 在该队列中观察到高达76.6%的死亡率,主要感染的是三角洲变种.
- 通过ROC分析,前素 (PCT) 和中性粒细胞与淋巴细胞比率 (NLR) 显示出死亡率的最高预测能力.
- 多变量分析发现NLR,PCT,CRP和IL-6是死亡率的显著预测因素,NLR与风险增加有着一致的关联.
结论:
- 中性粒细胞与淋巴细胞的比率 (NLR) 是一种有价值,易于获得和简单的标志物,用于监测病毒感染中的炎症.
- NLR分析可以提高高风险严重COVID-19患者的早期识别,改善管理和结果.
- 将NLR整合到常规临床实践中可能会优化严重SARS-CoV-2患者的患者护理策略.
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