Department of Medical Ultrasound, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China.
Department of Hematology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China.
Cardiovasc Diabetol. 2023 Sep 29;22(1):267. doi: 10.1186/s12933-023-01998-y.
Evidence regarding the neutrophil-lymphocyte ratio (NLR) and mortality risk in diabetes patients is scarce. This study investigated the relationship of the NLR with all-cause and cardiovascular mortality risk in diabetes patients.
Diabetes patients (n = 3251) from seven National Health and Nutrition Examination Survey (NHANES) cycles (2003-2016) were included in this study. The cause of death and mortality status of the participants were obtained from National Death Index records. Restricted cubic spline (RCS) was used to visualize the association of the NLR with mortality risk. The maximally selected rank statistics method (MSRSM) was used to determine the optimal NLR cutoff value corresponding to the most significant association with survival outcomes. Weighted multivariable Cox regression models and subgroup analyses were adopted to assess the association of the NLR with all-cause and cardiovascular mortality. Time-dependent receiver operating characteristic curve (ROC) analysis was conducted to evaluate the accuracy of the NLR in predicting survival outcomes.
During a median follow-up of 91 months (interquartile range, 55-131 months), 896 (27.5%) of the 3251 diabetes patients died, including 261 (8.0%) with cardiovascular deaths and 635 (19.5%) with noncardiovascular deaths. The RCS regression analysis showed a positive linear association between the NLR and all-cause and cardiovascular mortality (both p > 0.05 for nonlinearity) in diabetes patients. Participants were divided into higher (> 3.48) and lower (≤ 3.48) NLR groups according to the MSRSM. In the multivariable-adjusted model, compared with participants with a lower NLR, those with a higher NLR had a significantly higher risk of both all-cause (HR 2.03, 95% confidence interval (CI) 1.64-2.51, p < 0.0001) and cardiovascular mortality (HR 2.76, 95% CI 1.84-4.14, p < 0.0001). The association was consistent in subgroup analyses based on age, sex, smoking status, drinking status, and hypertension, with no significant interaction between the aforementioned characteristics and the NLR (p interaction > 0.05). The time-dependent ROC curve showed that the areas under the curve of the 1-, 3-, 5-, and 10-year survival rates were 0.72, 0.66, 0.64, and 0.64 for all-cause mortality and 0.69, 0.71, 0.69 and 0.65, respectively, for cardiovascular mortality.
An elevated NLR is independently associated with increased all-cause and cardiovascular mortality in diabetes patients.
关于中性粒细胞与淋巴细胞比值(NLR)与糖尿病患者死亡风险的证据尚少。本研究旨在探讨 NLR 与糖尿病患者全因和心血管死亡风险的关系。
本研究纳入了来自七个国家健康与营养调查(NHANES)周期(2003-2016 年)的 3251 例糖尿病患者。通过国家死亡指数记录获取参与者的死亡原因和死亡状态。限制性三次样条(RCS)用于可视化 NLR 与死亡率风险的关联。采用最大选择秩统计法(MSRSM)确定与生存结局最显著相关的最佳 NLR 截断值。采用加权多变量 Cox 回归模型和亚组分析评估 NLR 与全因和心血管死亡的相关性。采用时间依赖性接受者操作特征曲线(ROC)分析评估 NLR 预测生存结局的准确性。
在中位随访 91 个月(四分位距 55-131 个月)期间,3251 例糖尿病患者中有 896 例(27.5%)死亡,其中 261 例(8.0%)死于心血管疾病,635 例(19.5%)死于非心血管疾病。RCS 回归分析显示,NLR 与糖尿病患者的全因和心血管死亡呈正线性相关(非线性检验 p 值均>0.05)。根据 MSRSM,将参与者分为 NLR 较高(>3.48)和较低(≤3.48)组。在多变量调整模型中,与 NLR 较低的参与者相比,NLR 较高的参与者全因死亡(HR 2.03,95%置信区间 1.64-2.51,p<0.0001)和心血管死亡(HR 2.76,95%置信区间 1.84-4.14,p<0.0001)的风险显著更高。基于年龄、性别、吸烟状况、饮酒状况和高血压的亚组分析结果一致,且上述特征与 NLR 之间无显著交互作用(p 交互值>0.05)。时间依赖性 ROC 曲线显示,全因死亡率的 1、3、5 和 10 年生存率的曲线下面积分别为 0.72、0.66、0.64 和 0.64,心血管死亡率的曲线下面积分别为 0.69、0.71、0.69 和 0.65。
升高的 NLR 与糖尿病患者全因和心血管死亡风险增加独立相关。