Zhang Zihao, Hao Qingpei, Wang Tao, Peng Shijun, Chang Xin, Wang Yuepeng, Ouyang Jia, Liu Ruen
Department of Neurosurgery, Peking University People's Hospital, Beijing, China.
Hebei Medical University, Shijiazhuang, Hebei, China.
Front Aging Neurosci. 2025 Aug 29;17:1658854. doi: 10.3389/fnagi.2025.1658854. eCollection 2025.
Objective biomarkers to differentiate trigeminal neuralgia (TN) subtypes are lacking. This study aimed to evaluate the utility of the platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) for distinguishing primary TN from secondary TN caused by meningiomas (STN-M) or epidermoid cysts (STN-E).
In this retrospective study of 53 patients, analysis of covariance (ANCOVA) was used to compare adjusted biomarker levels while controlling for confounders. The diagnostic performance of these hematological markers and patient age was assessed using receiver operating characteristic (ROC) curve analysis, and their independent predictive values were determined by multivariable logistic regression to differentiate the two secondary TN types.
After adjusting for confounders, the mean PLR was significantly lower in the STN-M group compared to the STN-E group ( = 0.036), while NLR showed no significant difference. Notably, when comparing diagnostic performance for the secondary etiologies, patient age demonstrated a higher area under the curve (AUC = 0.962; 95% CI: 0.897-1.000) than PLR (AUC = 0.793; 95% CI: 0.614-0.972). Multivariable regression identified age as the most influential variable, showing a strong trend toward significance ( = 0.051), while PLR was not an independent predictor ( = 0.197).
While this study identified PLR as a potential auxiliary biomarker, its most crucial finding is that the simple demographic feature of patient age is the primary and more powerful discriminator for differentiating STN-M from STN-E. This highlights that while novel biomarkers should be explored, the foundational importance of basic clinical parameters must not be overlooked in the pursuit of diagnostic precision.
缺乏用于区分三叉神经痛(TN)亚型的客观生物标志物。本研究旨在评估血小板与淋巴细胞比值(PLR)和中性粒细胞与淋巴细胞比值(NLR)在区分原发性TN与由脑膜瘤(STN-M)或表皮样囊肿(STN-E)引起的继发性TN中的作用。
在这项对53例患者的回顾性研究中,采用协方差分析(ANCOVA)在控制混杂因素的同时比较调整后的生物标志物水平。使用受试者工作特征(ROC)曲线分析评估这些血液学标志物和患者年龄的诊断性能,并通过多变量逻辑回归确定它们区分两种继发性TN类型的独立预测价值。
在调整混杂因素后,STN-M组的平均PLR显著低于STN-E组(P = 0.036),而NLR无显著差异。值得注意的是,在比较继发性病因的诊断性能时,患者年龄的曲线下面积(AUC = 0.962;95% CI:0.897 - 1.000)高于PLR(AUC = 0.793;95% CI:0.614 - 0.972)。多变量回归确定年龄是最有影响的变量,显示出强烈的显著趋势(P = 0.051),而PLR不是独立预测因子(P = 0.197)。
虽然本研究将PLR确定为一种潜在的辅助生物标志物,但其最关键的发现是患者年龄这一简单的人口统计学特征是区分STN-M和STN-E的主要且更有力的鉴别因素。这突出表明,虽然应探索新的生物标志物,但在追求诊断精度时,基本临床参数的基础重要性不可忽视。