系统性炎症标志物与中风患者全因死亡率之间的关联:使用英国生物银行数据的前性研究
Aimin Wang1, Fenglin Wang1, Yiming Huang1
1Department of Health Statistics, School of Public Health, Shandong Second Medical University, Weifang, Shandong 261053, China.
概括
系统性炎症标志物如SII,NLR,PLR和LMR预测中风死亡率. 较高的NLR,PLR和SII以及较低的LMR与中风患者全因死亡率的增加有关,有助于预后.
科学领域:
- 生物医学科学 生物医学科学
- 临床研究是临床研究.
- 公共卫生 公共卫生
背景情况:
- 新的炎症生物标志物,包括全身免疫炎症指数 (SII),中性粒细胞与淋巴细胞比率 (NLR),血小板与淋巴细胞比率 (PLR) 和淋巴细胞与单细胞比率 (LMR),越来越多地用于疾病预后.
- 这些标记物对中风患者全因死亡率的具体影响尚未明确确.
研究的目的:
- 调查系统性炎症标记 (SII,NLR,PLR,LMR) 与大批中风患者全因死亡率之间的关联.
- 在中风患者管理中确定这些生物标志物的潜在预后值.
主要方法:
- 一个前性分析利用英国生物银行数据,包括6020名符合条件的个人.
- 随机生存森林 (RSF) 和考克斯比例危险模型被用于评估系统性炎症标志物和所有原因死亡率之间的关系,平均随访时间为13.4年.
- 由RSF选择的共变量,包括年龄,性别,BMI和生活方式因素,在Cox模型中进行了调整.
主要成果:
- 对LMR (负) 和NLR (阳性) 观察到线性相关性,而SII和PLR显示了与死亡率的U形关联.
- 调整后的分析显示,LMR<4 (14%),NLR≥2 (26%),PLR≥175 (26%),SII≥526 (31%) 的全因死亡风险增加.
- 敏感性分析证实了这些发现的可靠性.
结论:
- 该研究表明,SII,NLR,PLR和LMR与中风患者的全因死亡率之间存在显著的相关性.
- 这些系统性炎症标志物的确定的值,来自RSF模型,可以提高预后准确性,并指导中风护理的临床决策.
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