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系统性炎症指标与慢性病存活率之间的关联:基于NHANES的前性研究
Yuan Chen1, Yanfang Nie1, Jiaying Wu1
1Department of Nephrology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China.
系统性炎症指标如NLR和LMR可以预测慢性病患者的存活率. 这些标志物为管理CKD提供了有价值的临床见解,改善了患者的治疗结果.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 免疫学 免疫学 免疫学
- 生物统计学 生物统计学
背景情况:
- 慢性病 (CKD) 与系统性炎症有关.
- 系统性炎症指标对CKD存活率的预测价值尚未得到充分确立.
研究的目的:
- 调查系统性炎症指标与美国成年慢性病患者全因死亡率之间的关联.
- 评估这些指标对CKD患者存活率的预测准确度.
主要方法:
- 对来自6880名参与者的NHANES数据 (1999-2018) 的分析.
- 系统性免疫炎症指数 (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) 的评估.
- 使用了卡普兰-梅尔曲线,限制立方线,考克斯回归,ROC和一致性指数分析.
主要成果:
- 在CKD患者中,SII,NLR和PLR与全因死亡率有积极关联.
- 较高的LMR显示有保护作用.
- NLR和LMR成为CKD存活率的主要预测指标,具有显著的危险比率和一致性指数.
- 在炎症指标和死亡风险之间观察到非线性关系.
结论:
- 系统性炎症指标是美国CKD患者生存的重要预测指标.
- 这些指标可以增强慢性病患者的临床决策和医疗保健.
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