相关实验视频
Updated: Jun 6, 2025

07:42
A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
147
绝对淋巴细胞计数和T细胞亚种群的预测值对于败血症预后
Xi Jia1,2, Xiaojing Li3, Linzi Miao1
1Department of Clinical Laboratory, Peking University First Hospital, Beijing, People's Republic of China.
Infection and drug resistance
|December 2, 2024
概括
使用绝对淋巴细胞计数和天真CD4+T细胞百分比的早期败血症免疫监测可以预测患者的生存率. 这有助于识别可能受益于免疫疗法的个人,改善了重症监护机构的结果.
科学领域:
- 免疫学 免疫学 免疫学
- 关键护理医学 关键护理医学
- 公共卫生 公共卫生
背景情况:
- 败血症是全球死亡和发病的一个重要原因.
- 败血症患者的免疫抑制与预后不佳相关.
- 早期免疫监测在败血症管理中具有预后价值.
研究的目的:
- 调查与败血症预后相关的免疫学参数.
- 识别可能从免疫疗法中受益的患者.
- 为了提高重症监护病房的生存率.
主要方法:
- 65名败血症患者根据28天生存率进行了分类.
- 周围血液分析包括淋巴细胞和T细胞亚群 (CD4 +,CD8 +,NK细胞,Tregs).
- 回归分析确定了败血症死亡率的风险因素.
主要成果:
- 在非幸存者中,降低绝对淋巴细胞数量和天真CD4+T细胞百分比.
- 在非幸存者中观察到更高调节性T细胞 (Tregs).
- 绝对淋巴细胞计数和天真CD4+T细胞百分比是败血症预后的显著预测因素.
结论:
- 早期对绝对淋巴细胞数和T细胞亚型的监测可以预测败血症的结果.
- 这种监测可以确定适合免疫治疗的患者.
- 通过向免疫疗法改善败血症生存率是一个潜在的好处.
相关概念视频
Disorders of Leukocytes
854
Leukocyte disorders can lead to either leukopenia, characterized by an abnormally low leukocyte count, or leukocytosis, marked by a very high leukocyte number.
Leukopenia may result from bone marrow disorders, autoimmune diseases, and infectious diseases. For example, conditions such as multiple myeloma and aplastic anemia can impair the bone marrow's ability to produce adequate leukocytes. Similarly, autoimmune diseases like lupus and viral infections such as HIV can prompt the immune...
Leukopenia may result from bone marrow disorders, autoimmune diseases, and infectious diseases. For example, conditions such as multiple myeloma and aplastic anemia can impair the bone marrow's ability to produce adequate leukocytes. Similarly, autoimmune diseases like lupus and viral infections such as HIV can prompt the immune...
854
Sensitivity, Specificity, and Predicted Value
188
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Sensitivity is the...
188

