基于MIMIC-IV数据库的糖尿病病重症患者的入院和死亡率的系统性炎症指标之间的关联:一个队列研究
Guo-Yin Shen1, Qian-Qian Wang1, Si-Ang Lv1,2,3
1Department of Laboratory Medicine, Jiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Frontiers in endocrinology
|June 16, 2025
概括
系统性炎症指标,如SII,SIRI和NLR预测了糖尿病病患者的死亡率. 这些指标的较高水平与死亡风险的增加有关,这表明它们可以用作预后标志物.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 关键护理医学 关键护理医学
- 免疫学 免疫学 免疫学
背景情况:
- 糖尿病病 (DKD) 与免疫系统失调和炎症有关.
- 预测重症DKD患者的死亡率对于临床管理至关重要.
研究的目的:
- 调查系统性炎症指标对ICU患者DKD死亡率的预测价值.
- 确定SII,SIRI和NLR与这一群体的死亡结果之间的关联.
主要方法:
- 分析了ICU中840名DKD患者的队列.
- 评估了全身免疫炎症指数 (SII),全身炎症反应指数 (SIRI) 和中性粒细胞与淋巴细胞的比率 (NLR).
- 考克斯回归,限制立方线和ROC曲线用于分析.
主要成果:
- 在对共变量进行调整后,所有三种炎症指标 (SII,SIRI,NLR) 都与28天死亡率的增加显著相关.
- 较高的SII,SIRI和NLR三位数显示28天死亡率的风险大幅增加.
- 与SII相比,NLR和SIRI对死亡率的预测准确性更高.
结论:
- 系统性炎症指标 (SII,SIRI,NLR) 与重症DKD患者的死亡率有关.
- 这些炎症标志物可以作为这个脆弱的患者群体中死亡率的有价值的预测指标.
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