Hu Lingyuan, Wang Zhuotong, Chen Jiaqi, Chen Aomiao, Wang Geningyue, Xie Xinran, He Qiuyu, Xue Yaoming, Wu Zhiyong, Zheng Zongji, Jia Yijie
Department of Endocrinology & Metabolism, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
The First School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, China.
Endocrine. 2025 Aug 18. doi: 10.1007/s12020-025-04390-w.
This study investigated the associations between different inflammatory indices and mortality in CKM patients at various stages, with the goal of identifying the best inflammatory predictors of survival for each stage of CKM.
Data from 18,700 representative CKM patients in NHANES 1999-2014 and 94,760 CKM patients from the UKB were analysed. The inflammatory index was calculated on the basis of the blood cell count and biochemical indicators. A multivariate Cox proportional hazards model was applied to analyse the associations between inflammatory indices and all-cause mortality stratified by CKM stage.
The advanced lung cancer inflammation index (ALI) has the best predictive performance for early CKM stages (NHANES: stage 2: AUC(t) = 0.600; stage 3: AUC(t) = 0.636; stage 4: AUC(t) = 0.678; UKB: stage 1: AUC(t) = 0.613; stage 3: AUC(t) = 0.666), with higher ALI levels correlated with lower all-cause mortality risk. In contrast, the monocyte‒lymphocyte ratio (MLR), neutrophil‒lymphocyte ratio (NLR), and systemic inflammation response index (SIRI) are correlated with an increased risk of all-cause mortality. The SIRI demonstrates superior predictive performance in the advanced stages of CKM.
This study demonstrated that the ALI was negatively associated with all-cause mortality and exhibited optimal performance and robustness in predicting the prognosis of patients with early-stage CKM, whereas the SIRI showed superior predictive performance in the advanced stages of CKM.
本研究调查了不同炎症指标与不同阶段慢性肾脏病(CKM)患者死亡率之间的关联,目的是确定CKM各阶段生存的最佳炎症预测指标。
分析了1999 - 2014年美国国家健康与营养检查调查(NHANES)中18700例具有代表性的CKM患者以及英国生物银行(UKB)中94760例CKM患者的数据。炎症指标基于血细胞计数和生化指标计算得出。应用多变量Cox比例风险模型分析炎症指标与按CKM阶段分层的全因死亡率之间的关联。
晚期肺癌炎症指数(ALI)在CKM早期阶段具有最佳预测性能(NHANES:2期:AUC(t)=0.600;3期:AUC(t)=0.636;4期:AUC(t)= .