Bai Yihua, Huang Lilan, Li Yanqin, Zhou Shiyu, Li Luohua, Jiang Hongying, Nie Sheng, Feng Zhijian, Su Licong
Department of Nephrology, The Second Hospital Affiliated to Kunming Medical University, Kunming, Yunnan Province, 650101, People's Republic of China.
Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, 510515, People's Republic of China.
J Inflamm Res. 2024 Dec 9;17:10739-10753. doi: 10.2147/JIR.S483637. eCollection 2024.
Diabetic kidney disease (DKD) is a significant contributor to the development of end-stage renal disease and cardiovascular disease (CVD), with inflammation being a critical factor in its pathogenesis. The aim of this study is to examine the relationship between the neutrophil-to-lymphocyte ratio (NLR), a new inflammatory marker, and mortality from all causes and CVD in patients with DKD.
This multicenter, retrospective cohort study utilized data from the China Renal Data System (CRDS) on patients with DKD hospitalized between January 1, 2000, and February 28, 2023. The patients' demographic information, along with their initial clinical and laboratory results, were collected and recorded. Follow-up continued until July 1, 2023, and patients were categorized into two groups based on the median baseline NLR. The Cox proportional hazards regression, Restricted cubic spline (RCS) curves, The Kaplan-Meier curve, Fine-Gray competing risk model, Time-dependent ROC and subgroup analysis were used to analyze the association between all-cause mortality and CVD mortality in patients having DKD with varying NLR.
This study included 11,427 patients who had been clinically diagnosed with DKD. Baseline NLR was associated with C-reactive protein, procalcitonin, high-sensitivity C-reactive protein, plasma D-dimer, cystatin C, creatinine, urea nitrogen, brain natriuretic peptide, and eGFR. We selected the demographic characteristics, differential factors from univariate analysis, and clinically DKD-related laboratory indicators as covariates for Cox analysis. Results indicated that NLR was an independent risk factor for both all-cause and CVD mortality after adjusting for the relevant variables. The risk of all-cause death and CVD death in the high NLR group was 4.688 and 2.141 times higher, respectively, compared to the low NLR group (HR = 4.688, 95% CI 1.153-19.061, P = 0.031; HR = 2.141, 95% CI 1.257-3.644, P = 0.005). However, potential confounding factors and biases, such as unmeasured variables and the influence of treatment interventions, could not be fully accounted for.
NLR can independently predict the risk of all-cause and CVD mortality in patients with DKD. Identifying individuals with a high NLR and providing further intervention could be crucial measures to reduce both all-cause and CVD mortality. However, the results should be interpreted with caution due to the study's limitations.
糖尿病肾病(DKD)是终末期肾病和心血管疾病(CVD)发展的重要因素,炎症是其发病机制中的关键因素。本研究的目的是探讨一种新的炎症标志物中性粒细胞与淋巴细胞比值(NLR)与DKD患者全因死亡率和CVD死亡率之间的关系。
这项多中心回顾性队列研究利用了中国肾脏数据系统(CRDS)中2000年1月1日至2023年2月28日期间住院的DKD患者的数据。收集并记录了患者的人口统计学信息以及他们最初的临床和实验室检查结果。随访持续到2023年7月1日,并根据基线NLR的中位数将患者分为两组。使用Cox比例风险回归、限制立方样条(RCS)曲线、Kaplan-Meier曲线、Fine-Gray竞争风险模型、时间依赖性ROC和亚组分析来分析不同NLR的DKD患者全因死亡率和CVD死亡率之间的关联。
本研究纳入了11427例临床诊断为DKD的患者。基线NLR与C反应蛋白、降钙素原、高敏C反应蛋白、血浆D-二聚体、胱抑素C、肌酐、尿素氮、脑钠肽和估算肾小球滤过率相关。我们选择人口统计学特征、单因素分析中的差异因素以及临床上与DKD相关的实验室指标作为Cox分析的协变量。结果表明,在调整相关变量后,NLR是全因死亡率和CVD死亡率的独立危险因素。高NLR组的全因死亡风险和CVD死亡风险分别比低NLR组高4.688倍和2.141倍(HR = 4.688,95%CI 1.153-19.061,P = 0.031;HR = 2.141,95%CI 1.257-3.644,P = 0.005)。然而,潜在的混杂因素和偏差,如未测量的变量和治疗干预的影响,无法完全排除。
NLR可以独立预测DKD患者的全因死亡率和CVD死亡率风险。识别高NLR个体并提供进一步干预可能是降低全因死亡率和CVD死亡率的关键措施。然而,由于本研究的局限性,结果应谨慎解释。