Lu Guozhang, Wang Peijian, Xv Bin, Lv Hang, Zhang Liyong, Wang Jiyue, Hao Jiheng
Department of Neurosurgery, Liaocheng People's Hospital, Liaocheng, China.
School of Clinical Medicine, Weifang Medical University, Weifang, China.
Front Neurol. 2025 Jul 2;16:1490127. doi: 10.3389/fneur.2025.1490127. eCollection 2025.
The study investigated the correlation between the neutrophil-lymphocyte ratio (NLR) and the platelet-lymphocyte ratio (PLR) concerning the first-pass effect (FPE) observed during mechanical thrombectomy subsequent to acute ischemic stroke (AIS).
Patients diagnosed with AIS in the anterior circulation, who underwent mechanical thrombectomy between January 2020 and December 2022, were assessed. Various data were collected, including blood cell counts, general information, relevant surgical and clinical details, and functional outcomes determined by the Modified Rankin Scale (MRS) score ≤2 at 3 months. Logistic regression was utilized to identify independent factors predicting the first-pass effect (FPE) and to explore the associations between FPE and the NLR and PLR. Critical NLR and PLR values were examined using Receiver-operating characteristics (ROC) curves.
A total of 233 patients were enrolled and categorized into either the FPE or MPE groups based on the success of the initial thrombectomy. The FPE group showed significant distinctions compared to the MPE group in both NLR and PLR levels: NLR (3.63 vs. 4.90, < 0.001), PLR (134.92 vs. 164.77, = 0.001). Both univariate and multivariate regression analyses demonstrated the independent predictive ability of NLR and PLR for assessing the risk of FPE during mechanical thrombectomy, with NLR (Adjusted Odds ratio (OR) 0.764; 95% CI 0.665-0.878, = 0.001) and PLR (Adjusted OR0.993; 95% CI 0.989-0.998, = 0.002). Moreover, the ROC curves delineated critical threshold values of 4.34 and 148.03 for NLR and PLR, respectively.
The increase of NLR and PLR may be related to the failure of FPE.
本研究调查了急性缺血性卒中(AIS)后机械取栓过程中观察到的首过效应(FPE)与中性粒细胞-淋巴细胞比值(NLR)和血小板-淋巴细胞比值(PLR)之间的相关性。
对2020年1月至2022年12月期间接受机械取栓的前循环AIS诊断患者进行评估。收集了各种数据,包括血细胞计数、一般信息、相关手术和临床细节,以及3个月时改良Rankin量表(MRS)评分≤2所确定的功能结局。采用逻辑回归来识别预测首过效应(FPE)的独立因素,并探讨FPE与NLR和PLR之间的关联。使用受试者工作特征(ROC)曲线检查临界NLR和PLR值。
共纳入233例患者,并根据初次取栓的成功与否分为FPE组或MPE组。FPE组在NLR和PLR水平上与MPE组相比有显著差异:NLR(3.63对4.90,<0.001),PLR(134.92对164.77,=0.001)。单因素和多因素回归分析均显示NLR和PLR在评估机械取栓期间FPE风险方面具有独立预测能力,NLR(调整优势比(OR)0.764;95%可信区间0.665-0.878,=0.001)和PLR(调整OR0.993;95%可信区间0.989-0.998,=0.002)。此外,ROC曲线分别描绘了NLR和PLR的临界阈值为4.34和148.03。
NLR和PLR的升高可能与FPE失败有关。