Department of Nephrology, The First Hospital of Jilin University, Changchun, China.
Center of Oncology, The First Hospital of Jilin University, Changchun, China.
Ren Fail. 2024 Dec;46(2):2399314. doi: 10.1080/0886022X.2024.2399314. Epub 2024 Sep 9.
There is currently no research on the correlation between novel inflammatory indexes systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and the risk of anemia in chronic kidney disease (CKD) population, as well as survival analysis in CKD with anemia.
This investigation encompassed 4444 adult subjects out of the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018. The study utilized multi-variable logistic regression to assess the relationship between SII, NLR, PLR, and anemia risk occurrence in CKD population. Survival differences in CKD patients with anemia, based on varying levels of SII, NLR, and PLR were evaluated employing Kaplan-Meier and Cox proportional hazards models.
The adjusted logistic regression model demonstrates that SII, NLR, and PLR are associated with the risk of anemia occurrence in CKD population. Kaplan-Meier's analysis reveals significant differences in survival rates among CKD patients with anemia stratified by NLR levels. The adjusted Cox proportional hazards model shows that the higher NLR group has a 30% elevated risk of all-cause mortality contrasted with lower group (hazard ratio, HR: 1.30, confidence interval (CI) [1.01, 1.66], value <.04). Restricted cubic spline (RCS) demonstrates no nonlinear relationship between NLR and all-cause mortality. Lastly, sub-cohort analysis indicates that in populations with diabetes, hypertension, and hyperuricemia, NLR levels have a greater impact on all-cause mortality.
Controlling inflammation may reduce the occurrence of anemia in CKD populations, with NLR serving to be a potential prognostic indicator for survival results within CKD patients suffering from co-morbid anemia.
目前尚无研究探讨新型炎症指标——全身免疫炎症指数(SII)、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)与慢性肾脏病(CKD)人群贫血风险的相关性,以及 CKD 合并贫血患者的生存分析。
本研究纳入了 2005 年至 2018 年国家健康与营养调查(NHANES)中的 4444 名成年受试者。研究采用多变量逻辑回归评估 SII、NLR、PLR 与 CKD 人群贫血风险发生的关系。采用 Kaplan-Meier 和 Cox 比例风险模型评估 CKD 贫血患者基于 SII、NLR 和 PLR 不同水平的生存差异。
调整后的逻辑回归模型表明 SII、NLR 和 PLR 与 CKD 人群贫血风险发生相关。Kaplan-Meier 分析显示,根据 NLR 水平分层的 CKD 贫血患者的生存率存在显著差异。调整后的 Cox 比例风险模型显示,与 NLR 较低组相比,NLR 较高组的全因死亡率增加了 30%(风险比,HR:1.30,95%置信区间[1.01,1.66],P 值<0.04)。受限立方样条(RCS)显示 NLR 与全因死亡率之间不存在非线性关系。最后,亚组分析表明,在患有糖尿病、高血压和高尿酸血症的人群中,NLR 水平对全因死亡率的影响更大。
控制炎症可能会降低 CKD 人群贫血的发生风险,NLR 可能成为 CKD 合并贫血患者生存结果的潜在预后指标。