Dong Kaixuan, Zheng Ya, Wang Yuping, Guo Qinghong
The First Clinical Medical College, Lanzhou University, Lanzhou, 730000, China.
Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, 730000, China.
Sci Rep. 2024 Dec 5;14(1):30403. doi: 10.1038/s41598-024-80801-8.
There are no studies discussing the significance of neutrophil-to-lymphocyte ratio (NLR), neutrophil-percentage-to-albumin ratio (NPAR), and systemic immune-inflammation index (SII) in predicting poor prognosis in patients with metabolic dysfunction associated steatotic liver disease (MASLD); this study aimed to investigate the relationship between these three inflammatory markers and all-cause mortality and cardiovascular disease (CVD) mortality in patients with MASLD. Survival data for 3970 participants were obtained from National Death Index (NDI) records associated with the National Health and Nutrition Examination Survey (NHANES) dataset, the associations of NPAR, NLR, and SII with all-cause and CVD mortality were analyzed using multivariate COX regression modeling, restricted cubic spline (RCS) was used to explore nonlinear relationships and to determine the inflection point, regrouping was done according to the nonlinear inflection point, using multivariate COX regression modeling, subgroup analysis, and the Kaplan-Meier survival curves to evaluate differences in risk of death between the two groups. Time-dependent receiver operating characteristic curve (ROC) analysis was conducted to assess the predictive efficacy of NPAR, NLR, and SII on survival outcomes. Multivariate COX regression and RCS analyses revealed a positive linear correlation between NLR and all-cause and CVD mortality, whereas a nonlinear relationship was found between NPAR and SII and all-cause and CVD mortality. Further reclassified into two groups according to the inflection point, multivariate COX regression analyses showed a significant difference in the risk of death between the two NPAR groups (HR 1.37, 95% CI = (1.01, 1.86) for all-cause mortality and HR 2.03, 95% CI = (1.24, 3.32) for CVD mortality ) and no difference in the risk of death between the two SII groups (HR 1.11, 95% CI = (0.87, 1.42) for all-cause mortality and HR 1.35, 95% CI = (0.86, 2.12) for CVD mortality), and Kaplan-Meier survival curves showed that both all-cause and CVD mortality rates were higher in patients with MASLD above the NPAR inflection point (log-rank P < 0.05). Subgroup analyses showed that the associations between high levels of NPAR and all-cause mortality were generally consistent across populations (P interaction > 0.05). Also, COPD subgroups had a significant effect on the correlation between high levels of NPAR and CVD mortality (P interaction < 0.05). Time-dependent ROC show the predictive value of NPAR, NLR, and SII for all-cause and CVD mortality in MASLD patients. The correlation between NPAR and mortality was nonlinear, and NLR was linearly and positively correlated with mortality, Measuring NPAR and NLR may be useful in assessing risk and predicting prognosis in populations of patients with MASLD.
目前尚无研究探讨中性粒细胞与淋巴细胞比值(NLR)、中性粒细胞百分比与白蛋白比值(NPAR)以及全身免疫炎症指数(SII)在预测代谢功能障碍相关脂肪性肝病(MASLD)患者不良预后中的意义;本研究旨在调查这三种炎症标志物与MASLD患者全因死亡率和心血管疾病(CVD)死亡率之间的关系。从与美国国家健康与营养检查调查(NHANES)数据集相关的国家死亡指数(NDI)记录中获取了3970名参与者的生存数据,使用多变量COX回归模型分析NPAR、NLR和SII与全因及CVD死亡率的关联,采用限制立方样条(RCS)来探索非线性关系并确定拐点,根据非线性拐点进行重新分组,使用多变量COX回归模型、亚组分析和Kaplan-Meier生存曲线来评估两组之间死亡风险的差异。进行时间依赖性受试者工作特征曲线(ROC)分析以评估NPAR、NLR和SII对生存结局的预测效能。多变量COX回归和RCS分析显示NLR与全因及CVD死亡率之间呈正线性相关,而NPAR和SII与全因及CVD死亡率之间呈非线性关系。根据拐点进一步重新分为两组,多变量COX回归分析显示两个NPAR组之间的死亡风险存在显著差异(全因死亡率的HR为1.37,95%CI =(1.01,1.86);CVD死亡率的HR为2.03,95%CI =(1.24,3.32)),而两个SII组之间的死亡风险无差异(全因死亡率的HR为1.11,95%CI =(0.87,1.42);CVD死亡率的HR为1.35,95%CI =(0.86,2.12)),Kaplan-Meier生存曲线显示,NPAR拐点以上的MASLD患者的全因和CVD死亡率均较高(对数秩P < 0.05)。亚组分析表明,高水平NPAR与全因死亡率之间的关联在各人群中总体一致(P交互作用>0.05)。此外,慢性阻塞性肺疾病(COPD)亚组对高水平NPAR与CVD死亡率之间的相关性有显著影响(P交互作用<0.05)。时间依赖性ROC显示了NPAR、NLR和SII对MASLD患者全因和CVD死亡率的预测价值。NPAR与死亡率之间的相关性是非线性的,NLR与死亡率呈线性正相关,测量NPAR和NLR可能有助于评估MASLD患者群体的风险和预测预后。