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中性粒细胞与淋巴细胞比值对扩张型心肌病不良结局的预后价值:一项回顾性队列研究

Prognostic potential of neutrophil-to-lymphocyte ratio for adverse outcomes in dilated cardiomyopathy: a retrospective cohort study.

作者信息

Huang Yuan, Huang Li-Hong, Su Hua-Bin, Li Yu-Xin, Chen Hong, Li Jia-Hao, Yang Li-Hua, Su Qiang, Gui Chun

机构信息

Department of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.

Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.

出版信息

Sci Rep. 2025 Mar 25;15(1):10339. doi: 10.1038/s41598-025-94423-1.

DOI:10.1038/s41598-025-94423-1
PMID:40133435
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11937238/
Abstract

Neutrophil-to-lymphocyte ratio (NLR), as a novel inflammatory marker, has been shown to be associated with the severity and prognosis of various cardiovascular diseases. The aim of this study was to investigate whether NLR can serve as a biomarker for adverse outcomes and prognostic value in patients with dilated cardiomyopathy (DCM). This was a retrospective analysis of 666 consecutive patients with DCM who were admitted to our center for the first time. We compared the NLR levels among different outcome groups and assessed the survival status of patients in different NLR categories. Additionally, we explored the temporal changes in the predictive performance of NLR over time. Cox regression analysis was used to assess the relationship between NLR and prognosis, and subgroup analysis was performed. Furthermore, we investigated the dose-response relationship between NLR and prognosis. A total of 221 patients experienced all-cause death, and the NLR value in the death group (4.6 ± 5.3) was significantly higher than that in the survival group (3.2 ± 2.9) (P < 0.05). In terms of all-cause death, cardiac death, and heart failure death, the cumulative hazard were significantly higher in the NLR ≥ 3 group compared to the NLR < 3 group (P < 0.001). NLR showed a high accuracy in predicting these outcomes, but decreased over time. The results of the multivariable Cox regression analysis demonstrated that NLR was independently associated with all-cause death, cardiac death, and heart failure death (P < 0.05). Higher NLR values were associated with an increased risk of death, while there was no significant correlation with sudden death. In the fully adjusted model, each increase of 1 or 1 standard deviation (SD) in NLR corresponded to a 5% and 20% increase in the risk of all-cause death, a 4% and 15% increase in the risk of cardiac death, and a 5% and 21% increase in the risk of heart failure death (P < 0.05). In the fully adjusted model with all-cause death as the outcome, there was an interaction between NLR and age (P = 0.023), and the elderly population at higher risk. For cardiac death and heart failure death, there was an interaction between NLR and LVEF (P < 0.05), with the subgroup of LVEF < 35% being at higher risk. The relationship between log (NLR) and the risk of all-cause death exhibited a J-shaped correlation, while it showed a linear correlation with cardiac death and heart failure death. There was a threshold effect between NLR and different outcomes. NLR is independently associated with a higher risk of death in patients with DCM. It can be used to assess high-risk patients and predict adverse outcomes, allowing for early intervention.

摘要

中性粒细胞与淋巴细胞比值(NLR)作为一种新型炎症标志物,已被证明与各种心血管疾病的严重程度和预后相关。本研究的目的是探讨NLR是否可作为扩张型心肌病(DCM)患者不良结局和预后价值的生物标志物。这是一项对首次入住我们中心的666例连续DCM患者的回顾性分析。我们比较了不同结局组之间的NLR水平,并评估了不同NLR类别患者的生存状况。此外,我们还探讨了NLR预测性能随时间的变化。采用Cox回归分析评估NLR与预后的关系,并进行亚组分析。此外,我们还研究了NLR与预后之间的剂量反应关系。共有221例患者发生全因死亡,死亡组的NLR值(4.6±5.3)显著高于生存组(3.2±2.9)(P<0.05)。在全因死亡、心源性死亡和心力衰竭死亡方面,NLR≥3组的累积风险显著高于NLR<3组(P<0.001)。NLR在预测这些结局方面具有较高的准确性,但随着时间的推移而降低。多变量Cox回归分析结果表明,NLR与全因死亡、心源性死亡和心力衰竭死亡独立相关(P<0.05)。较高的NLR值与死亡风险增加相关,而与猝死无显著相关性。在完全调整模型中,NLR每增加1或1个标准差(SD),全因死亡风险分别增加5%和20%,心源性死亡风险分别增加4%和15%,心力衰竭死亡风险分别增加5%和21%(P<0.05)。在以全因死亡为结局的完全调整模型中,NLR与年龄之间存在交互作用(P=0.023),老年人群风险更高。在心源性死亡和心力衰竭死亡方面,NLR与左心室射血分数(LVEF)之间存在交互作用(P<0.05),LVEF<35%亚组风险更高。log(NLR)与全因死亡风险之间呈J形相关性,而与心源性死亡和心力衰竭死亡呈线性相关性。NLR与不同结局之间存在阈值效应。NLR与DCM患者较高的死亡风险独立相关。它可用于评估高危患者并预测不良结局,从而实现早期干预。

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