Zhang Sen, Xiao Yangchun, Yuan Xiang, Guo Quanhu, Liu Yuyang, Wan Jun, Wang Peng, Jorge Luis Cuyubamba Dominguez, Fan Shijie, Liu Hao, Ouyang Yikang, You Qiaoyu, Fang Fang, Zhang Yu
Center for Evidence-Based Medicine, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China; Department of Neurosurgery, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Department of Neurosurgery, Shanxi Medical University Fenyang College, Fenyang, Shanxi, China.
World Neurosurg. 2025 Jul 11;201:124279. doi: 10.1016/j.wneu.2025.124279.
The association between the neutrophil percentage-to-albumin ratio (NPAR) and neutrophil-to-albumin ratio (NAR) with long-term mortality in patients with intracerebral hemorrhage (ICH) remains underexplored.
We conducted a retrospective cohort study, including patients diagnosed with ICH from 2 tertiary care centers. NPAR and NAR levels were calculated from blood samples obtained within 24 hours of admission. The primary outcome was long-term mortality, defined as mortality at the longest available follow-up. Univariate and multivariate Cox proportional hazard models were used to assess the associations. To demonstrate the predictive performance of different biomarkers over time, time-dependent receiver operating characteristic curve analysis was created.
A total of 3350 patients with ICH were included in this study. Higher quartiles of the NPAR and NAR were associated with increased long-term mortality. Multivariate Cox regression analysis revealed that patients in the highest quartile of NPAR and NAR had substantially higher mortality risks compared to those in the lowest quartile (NPAR Q4 vs. Q1: adjusted hazard ratio: 2.15, 95% confidence interval: 1.78-2.59; NAR Q4 vs. Q1: adjusted hazard ratio: 1.82, 95% confidence interval: 1.52-2.18). Similar associations were observed for in-hospital mortality, 1-year mortality, and long-term mortality among discharge and 1-year survivors. The prognostic performance of NPAR was continuously superior to other inflammatory biomarkers.
Our study demonstrates that NPAR and NAR are significant predictors of long-term mortality in ICH patients. Incorporating these biomarkers into clinical practice may improve risk stratification and outcomes.
脑出血(ICH)患者的中性粒细胞百分比与白蛋白比值(NPAR)和中性粒细胞与白蛋白比值(NAR)与长期死亡率之间的关联仍未得到充分研究。
我们进行了一项回顾性队列研究,纳入了来自2个三级医疗中心诊断为ICH的患者。NPAR和NAR水平通过入院后24小时内采集的血样计算得出。主要结局是长期死亡率,定义为最长随访期时的死亡率。采用单因素和多因素Cox比例风险模型评估相关性。为了展示不同生物标志物随时间的预测性能,绘制了时间依赖性受试者工作特征曲线分析。
本研究共纳入3350例ICH患者。NPAR和NAR的较高四分位数与长期死亡率增加相关。多因素Cox回归分析显示,NPAR和NAR最高四分位数的患者与最低四分位数的患者相比,死亡风险显著更高(NPAR Q4与Q1:调整后风险比:2.15,95%置信区间:1.78 - 2.59;NAR Q4与Q1:调整后风险比:1.82,95%置信区间:1.52 - 2.18)。在住院死亡率、1年死亡率以及出院和1年幸存者中的长期死亡率方面也观察到类似的关联。NPAR的预后性能持续优于其他炎症生物标志物。
我们的研究表明,NPAR和NAR是ICH患者长期死亡率的重要预测指标。将这些生物标志物纳入临床实践可能会改善风险分层和预后。