Yin Xiaoshuang, Zou Jinmei, Yang Jing
Department of Immunology, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China (UESTC), Mianyang, China.
Front Nutr. 2025 Jul 16;12:1595119. doi: 10.3389/fnut.2025.1595119. eCollection 2025.
Advanced cardiovascular-kidney-metabolic (CKM) syndrome refers to stages 3 and 4 of CKM syndrome, which are associated with higher mortality compared to earlier stages (0-2). The albumin (ALB)-to-neutrophil/lymphocyte ratio (ANLR) is a new predictive marker that participates in immune inflammation and dietary status. However, the influence of ANLR on all-cause mortality (ACM) and cardiovascular mortality (CVM) in individuals with advanced CKM syndrome remains unclear. This investigation aims to examine the link between ANLR and both ACM and CVM in this population using data from a large-scale cross-sectional survey in the United States.
Data were from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018, a nationally representative cross-sectional survey with longitudinal mortality follow-up from the National Death Index. The formula of ANLR is ALB/NLR. The diagnostic criteria of CKM syndrome was based on the concept proposed by the American Heart Association and modified criteria adapted for NHANES data availability. The outcomes of interested included ACM and CVM. A 1:1 propensity score matching (PSM) approach was used to control for potential confounding variables. The threshold value of ANLR influencing survival was determined using maximally selected rank statistics, which is based on the log-rank test. This method identifies the optimal cutoff for continuous variables where the difference in survival rates is most pronounced, making it particularly well-suited for analyzing time-to-event data, such as survival outcomes. Kaplan-Meier survival analysis and multivariate Cox proportional hazards models were employed to assess the effects of ANLR on both ACM and CVM. Restricted cubic spline (RCS) analysis evaluated the linear or non-linear association between ANLR and mortality outcomes. Stratified analysis and interaction testing were carried out to estimate the influence of covariates on the ANLR-mortality correlation.
A total of 3,266 adults with advanced CKM syndrome (41.12% male) were included in the analysis, with median (interquartile range) age of 73 (63-80). Prior to PSM, and fully adjustment, the lowest ANLR Tertile 1 was related to significantly higher risks of ACM (hazard ratio [HR]: 1.58, 95% confidence interval [CI]: 1.39-1.78, < 0.001) and CVM (HR: 1.65, 95% CI: 1.34-2.04, < 0.001) compared to the highest Tertile 3. After applying PSM, and fully adjusting for confounders, an ANLR score below 1.04 was independently linked to increased risks of both CVM (HR: 2.02, 95% CI: 1.49-2.75, < 0.001) and ACM (HR: 1.52, 95% CI: 1.27-1.81, < 0.001). Interaction tests revealed no significant interactions for CVM across subgroups (All > 0.05). Regarding ACM, interactions were noted between ANLR and age, gender, and CKM stages (All < 0.05). RCS analysis indicated an L-shaped link between ANLR and both ACM and CVM, both before and after PSM (all < 0.001). The predictive value of ANLR, NLR, and ALB for CVM and ACM in individuals with advanced CKM syndrome demonstrated that ANLR and NLR exhibited comparable predictive capabilities for both ACM and CVM, outperforming ALB. Furthermore, the predictive performance of ANLR and NLR for ACM was superior to that for CVM.
Lower ANLR values, indicative of elevated systemic inflammation and malnutrition, are independently linked to increased risks of both ACM and CVM in individuals with advanced CKM syndrome in the US. These readily accessible and low-cost blood markers could serve as valuable prognostic indicators for identifying high-risk individuals. Future research should focus on incorporating additional biomarkers, validating the indices in larger and more diverse cohorts, and employing advanced analytical methods to refine the diagnostic efficiency of ANLR and NLR for better clinical utility.
晚期心血管-肾脏-代谢(CKM)综合征指CKM综合征的3期和4期,与早期阶段(0 - 2期)相比,死亡率更高。白蛋白(ALB)与中性粒细胞/淋巴细胞比值(ANLR)是一种参与免疫炎症和饮食状况的新型预测标志物。然而,ANLR对晚期CKM综合征患者全因死亡率(ACM)和心血管死亡率(CVM)的影响仍不明确。本研究旨在利用美国大规模横断面调查的数据,探讨该人群中ANLR与ACM和CVM之间的联系。
数据来自1999年至2018年的美国国家健康与营养检查调查(NHANES),这是一项具有全国代表性的横断面调查,并通过国家死亡指数进行纵向死亡率随访。ANLR的计算公式为ALB/NLR。CKM综合征的诊断标准基于美国心脏协会提出的概念,并根据NHANES数据的可获得性进行了修改。感兴趣的结局包括ACM和CVM。采用1:1倾向评分匹配(PSM)方法控制潜在的混杂变量。使用基于对数秩检验的最大选择秩统计量确定影响生存的ANLR阈值。该方法可识别连续变量的最佳截断值,此时生存率差异最为明显,特别适用于分析事件发生时间数据,如生存结局。采用Kaplan-Meier生存分析和多变量Cox比例风险模型评估ANLR对ACM和CVM的影响。限制立方样条(RCS)分析评估ANLR与死亡率结局之间的线性或非线性关联。进行分层分析和交互检验,以估计协变量对ANLR与死亡率相关性的影响。
共纳入3266例晚期CKM综合征成人患者(男性占41.12%),年龄中位数(四分位间距)为73岁(63 - 80岁)。在PSM和完全调整之前,最低的ANLR三分位数1与ACM(风险比[HR]:1.58,95%置信区间[CI]:1.39 - 1.78,<0.001)和CVM(HR:1.65,95%CI:1.34 - 2.04,<0.001)的风险显著升高相关,与最高的三分位数3相比。应用PSM并完全调整混杂因素后,ANLR评分低于1.04与CVM(HR:2.02,95%CI:1.49 - 2.75,<0.001)和ACM(HR:1.52,95%CI:1.27 - 1.81,<0.001)的风险增加独立相关。交互检验显示,各亚组中CVM均无显著交互作用(所有P>0.05)。关于ACM,ANLR与年龄、性别和CKM分期之间存在交互作用(所有P<0.05)。RCS分析表明,在PSM前后,ANLR与ACM和CVM之间均呈L形关联(所有P<0.001)。ANLR、NLR和ALB对晚期CKM综合征患者CVM和ACM的预测价值表明,ANLR和NLR对ACM和CVM均具有可比的预测能力,优于ALB。此外,ANLR和NLR对ACM的预测性能优于对CVM的预测性能。
较低的ANLR值表明全身炎症和营养不良加剧,在美国晚期CKM综合征患者中,其与ACM和CVM风险增加独立相关。这些易于获取且低成本的血液标志物可作为识别高危个体的有价值的预后指标。未来的研究应侧重于纳入更多生物标志物,在更大且更多样化的队列中验证这些指标,并采用先进的分析方法提高ANLR和NLR的诊断效率,以获得更好的临床应用。