全身性炎症与临床人口统计学:在鉴别继发性三叉神经痛时,患者年龄超过血小板与淋巴细胞比值。

IF 4.5 2区 医学 Q2 GERIATRICS & GERONTOLOGY
Frontiers in Aging Neuroscience Pub Date : 2025-08-29 eCollection Date: 2025-01-01 DOI:10.3389/fnagi.2025.1658854
Zihao Zhang, Qingpei Hao, Tao Wang, Shijun Peng, Xin Chang, Yuepeng Wang, Jia Ouyang, Ruen Liu
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引用次数: 0

摘要

背景:目的目前缺乏三叉神经痛(TN)亚型的生物标志物。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)在区分脑膜瘤(STN-M)或表皮样囊肿(STN-E)引起的原发性TN和继发性TN中的应用价值。方法:对53例患者进行回顾性研究,在控制混杂因素的情况下,采用协方差分析(ANCOVA)比较调整后的生物标志物水平。采用受试者工作特征(ROC)曲线分析评估这些血液学指标与患者年龄的诊断效能,并通过多变量logistic回归确定其独立预测值,以区分两种继发性TN类型。结果:调整混杂因素后,STN-M组的平均PLR显著低于STN-E组(p = 0.036), NLR无显著差异。值得注意的是,在比较继发性病因的诊断表现时,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)。多变量回归发现年龄是影响最大的变量,具有显著性趋势(p = 0.051),而PLR不是独立预测因子(p = 0.197)。结论:虽然本研究确定了PLR作为潜在的辅助生物标志物,但其最重要的发现是,患者年龄这一简单的人口统计学特征是区分STN-M和STN-E的主要和更有力的鉴别因素。这突出表明,虽然应该探索新的生物标志物,但在追求诊断精度的过程中,不能忽视基本临床参数的基础重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Systemic inflammation versus clinical demographics: patient age surpasses the platelet-to-lymphocyte ratio in differentiating secondary trigeminal neuralgia.

Systemic inflammation versus clinical demographics: patient age surpasses the platelet-to-lymphocyte ratio in differentiating secondary trigeminal neuralgia.

Systemic inflammation versus clinical demographics: patient age surpasses the platelet-to-lymphocyte ratio in differentiating secondary trigeminal neuralgia.

Background: 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).

Methods: 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.

Results: After adjusting for confounders, the mean PLR was significantly lower in the STN-M group compared to the STN-E group (p = 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 (p = 0.051), while PLR was not an independent predictor (p = 0.197).

Conclusion: 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.

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来源期刊
Frontiers in Aging Neuroscience
Frontiers in Aging Neuroscience GERIATRICS & GERONTOLOGY-NEUROSCIENCES
CiteScore
6.30
自引率
8.30%
发文量
1426
期刊介绍: Frontiers in Aging Neuroscience is a leading journal in its field, publishing rigorously peer-reviewed research that advances our understanding of the mechanisms of Central Nervous System aging and age-related neural diseases. Specialty Chief Editor Thomas Wisniewski at the New York University School of Medicine is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
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