炎症负担指数预测从NHANES的全国代表性人口的长期死亡率
Wenze Li1, Defeng Zhao2, Wenya Li3
1Department of Hematology, The First Affiliated Hospital of China Medical University, No.155 North Nanjing Road, Heping District, Shenyang, China.
Scientific reports
|July 11, 2025
概括
炎症负担指数 (IBI) 与所有原因和癌症死亡率的风险增加有关. 这个指数显示了改善我们预测一般人群死亡风险的方式的潜力.
科学领域:
- 生物统计学 生物统计学
- 流行病学 流行病学
- 炎症研究 炎症研究
背景情况:
- 慢性炎症是众所周知的各种疾病的风险因素,包括癌症.
- 现有的死亡风险预测模型可能无法完全捕捉炎症标志物的影响.
- 炎症负担指数 (IBI) 结合了C反应蛋白,中性粒细胞和淋巴细胞来量化系统性炎症.
研究的目的:
- 调查炎症负担指数 (IBI) 与所有原因和癌症特定死亡率之间的关联.
- 评估IBI在提高一般人群死亡风险分层方面的潜力.
主要方法:
- 分析了来自美国国家健康和营养检查调查的14835名参与者的队列.
- IBI的计算是CRP × (中性粒细胞/淋巴细胞).
- 考克斯回归,卡普兰-梅尔分析和ROC曲线分析被用于评估死亡风险和预测能力.
主要成果:
- 较高的IBI四分位数与所有原因和癌症特定死亡率的生存率显著降低有关 (Log-Rank p < 0.001).
- 每次IBI标准偏差的增加都与所有原因死亡率的风险增加23.4%和癌症特定死亡率的风险增加14.1%有关.
- IBI证明了改善死亡风险预测和重新分类的潜力.
结论:
- 炎症负担指数 (IBI) 与所有原因和癌症特异性死亡率的风险增加有关.
- IBI可能成为增强一般人口死亡风险分层的有价值工具.
- 进一步的研究可以探索IBI在不同人群中的临床实用性及其潜在的生物机制.
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