The clinical significance of the Neutrophil-to-Lymphocyte Ratio as a novel inflammatory biomarker for assessing the severity of intervertebral disc degeneration.

IF 3.1 3区医学 Q1 MEDICINE, GENERAL & INTERNAL Frontiers in Medicine Pub Date : 2024-10-31 eCollection Date: 2024-01-01 DOI:10.3389/fmed.2024.1446124

Kai Guo, Jianhua Zeng, Jiawei Lu, Youfeng Guo, Peipei Shan, Yufeng Huang, Desheng Wu

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Abstract

Purpose: Inflammation is integral to the pathogenesis of intervertebral disc degeneration, yet the role of systemic inflammatory markers in this process remains underexplored. This study aims to explore the association between the Neutrophil-to-Lymphocyte Ratio (NLR) and the severity of disc degeneration.

Patients and methods: A retrospective analysis was conducted on 375 patients diagnosed with lumbar disc degeneration between April 2018 and May 2021. All patients underwent a complete blood cell count examination. We applied the Pfirrmann grading system for cumulative disc grading, stratifying patients into two groups: a high-score group (cumulative grade > 17) and a low-score group (cumulative grade ≤ 17), based on the median cumulative grade. The association between the NLR and and the severity of disc degeneration was further analyzed using correlation analysis and logistic regression models. Furthermore, the predictive capacity of the NLR for lumbar disc degeneration was assessed using the Receiver Operating Characteristic (ROC) curve.

Results: We found a significant positive correlation between high NLR levels and severe disc degeneration. The high-score group exhibited a significantly higher NLR compared to the low-score group [2.63 (1.91-4.18) vs. 2.04 (1.38-2.74), respectively, p < 0.001]. Significant correlations were found between NLR and patient characteristics (including age, BMI, VAS, NSAIDs usage, hemoglobin) and the cumulative grading. Logistic regression analysis identified age and NLR as independent predictors of the severity of disc degeneration. The ROC curve analysis demonstrated a good predictive capability of NLR for lumbar disc degeneration.

Conclusion: NLR could serve as a promising biomarker for assessing the severity of lumbar disc degeneration and offer potential benefits in both early diagnosis and treatment strategies.

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中性粒细胞与淋巴细胞比值作为评估椎间盘退变严重程度的新型炎症生物标志物的临床意义。

目的：炎症是椎间盘退变发病机制中不可或缺的一部分，但全身炎症标志物在这一过程中的作用仍未得到充分探讨。本研究旨在探讨中性粒细胞与淋巴细胞比值（NLR）与椎间盘退变严重程度之间的关系：对2018年4月至2021年5月期间确诊为腰椎间盘退变的375名患者进行了回顾性分析。所有患者均接受了全血细胞计数检查。我们应用Pfirrmann分级系统对椎间盘累积分级，根据累积分级的中位数将患者分为两组：高分组（累积分级>17）和低分组（累积分级≤17）。利用相关分析和逻辑回归模型进一步分析了 NLR 与椎间盘退变严重程度之间的关系。此外，还利用接收者工作特征曲线（ROC）评估了 NLR 对腰椎间盘退变的预测能力：结果：我们发现高 NLR 水平与严重椎间盘退变之间存在明显的正相关。高分组的 NLR 明显高于低分组[分别为 2.63 (1.91-4.18) vs. 2.04 (1.38-2.74)，p < 0.001]。NLR与患者特征（包括年龄、体重指数、VAS、非甾体抗炎药使用情况、血红蛋白）和累积分级之间存在显著相关性。逻辑回归分析发现，年龄和 NLR 是椎间盘退变严重程度的独立预测因素。ROC曲线分析表明，NLR对腰椎间盘退变具有良好的预测能力：结论：NLR可作为评估腰椎间盘退变严重程度的一种有前途的生物标志物，并为早期诊断和治疗策略提供潜在的益处。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Medicine Medicine-General Medicine

CiteScore

5.10

自引率

5.10%

发文量

3710

审稿时长

12 weeks

期刊介绍： Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, 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. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world