预测COVID-19死亡率的普雷塞普辛和血栓模块林水平的变化
Azusa Yamazaki1,2, Yoko Nukui3,4, Takahiro Kameda1
1Department of Clinical Bioanalysis and Molecular Biology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Scientific reports
|December 6, 2023
概括
血栓模块素 (TM) 和前素 (P-SEP) 显示为预测COVID-19患者死亡率的生物标志物具有前途. 高水平和P-SEP的变化可以表明预后,独立于功能.
科学领域:
- 生物标志物和诊断方法
- 传染性疾病 传染性疾病
- 关键护理医学 关键护理医学
背景情况:
- 新型冠状病毒疾病 (COVID-19) 导致了全球显著的死亡率.
- 确定可靠的生物标志物来预测COVID-19的严重程度和预后对于患者管理至关重要.
- 前素 (P-SEP) 和血栓模块素 (TM) 分别是已知的败血症和内皮功能障碍的生物标志物.
研究的目的:
- 评估前素 (P-SEP) 和血栓模块素 (TM) 作为COVID-19患者的预后标记物的有用性.
- 评估P-SEP和TM水平与疾病严重程度和患者存活率之间的相关性.
- 确定P-SEP和TM是否可以作为死亡率的独立预测因素,即使在考虑功能时.
主要方法:
- 在183名COVID-19患者中测量了P-SEP和TM的血清水平.
- 根据临床参数,如氧和和ICU入院标准,根据疾病严重程度 (轻度至重度) 将患者分类.
- 分析P-SEP和TM水平与疾病严重程度,生存结果 (幸存者与非幸存者) 相比,并根据肌水平进行调整.
主要成果:
- 与轻度病例相比,P-SEP和TM水平在严重的COVID-19病例中显著升高,即使在进行肌素调整后也是如此.
- 与幸存者相比,非幸存者中的TM水平明显高于幸存者.
- 随着时间的推移 (大约4天),P-SEP水平的变化在幸存者和非幸存者之间存在显著差异,这表明了动态监测的价值.
结论:
- 血栓模块素 (TM) 和序列测量前素 (P-SEP) 可能是预测COVID-19患者死亡率的宝贵工具.
- 调整后的P-SEP和TM水平显示出作为COVID-19预后的独立预测标记物的潜力,独立于功能.
- 这些生物标志物提供了对病理生理过程的见解,包括败血症和内皮功能障碍,有助于严重的COVID-19结果.
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