一种转录组严重性分类器IMX-SEV-3b用于预测COVID-19重症监护病房患者的死亡率:一项前性观察试点研究
Katrijn Daenen1,2, Kirby Tong-Minh2, Oliver Liesenfeld3
1Department of Intensive Care, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.
Journal of clinical medicine
|October 14, 2023
概括
炎症-matix-严重性-3b (IMX-SEV-3b) 分类器在预测ICU中COVID-19患者的死亡率方面显示出有限的准确性. 与IMX-SEV-3b相比,常规生物标志物和SOFA评分显示出更好的预测性能.
科学领域:
- 关键护理医学 关键护理医学
- 传染病流行病学 传染病流行病学
- 分子诊断学 分子诊断学
背景情况:
- 预测COVID-19的重症监护室 (ICU) 患者的疾病结果至关重要.
- 宿主基因表达分析为预测结果提供了一个有希望的途径.
- 在ICU COVID-19死亡率预测中,29宿主mRNA炎症-matix-严重性-3b (IMX-SEV-3b) 分类器的实用性仍未确定.
研究的目的:
- 评估IMX-SEV-3b分类器在预测COVID-19患者中的ICU死亡率方面的准确性.
- 为了将IMX-SEV-3b的预测性能与例行测量生物标志物和顺序器官衰竭评估 (SOFA) 评分进行比较.
主要方法:
- 在ICU中机械通风COVID-19患者的前性观察研究.
- 血液样本中的29个宿主反应基因的IMX-SEV-3b得分.
- 计算IMX-SEV-3b的接收器运行特征曲线 (AUROC) 下的面积,个别生物标志物 (CRP,D-二次数,费里丁,IL-6,LDH,PCT,白细胞计数,NLR) 和SOFA分数.
主要成果:
- IMX-SEV-3b分类器的AUROC为0.65,用于预测ICU死亡率.
- 个别生物标志物显示AUROCs范围从0.52到0.66.
- SOFA得分达到0.81的AUROC,聚合的生物标志物也产生了0.81.81的AUROC.
结论:
- IMX-SEV-3b分类器在预测COVID-19患者的ICU死亡率方面表现得不够准确.
- 常规可用的生物标志物和SOFA得分显示出明显更好的预测性能.
- 在更大的研究中,需要对IMX-SEV-3b进行进一步的验证,以确定其临床实用性.
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