Suppr超能文献

血液指标在视神经脊髓炎谱系障碍中的预测作用。

Predictive role of blood-based indicators in neuromyelitis optica spectrum disorders.

作者信息

Fang Xiqin, Sun Sujuan, Yang Tingting, Liu Xuewu

机构信息

Department of Neurology, Qilu Hospital, Shandong University, Jinan, China.

Department of Neurology, Institute of Epilepsy, Shandong University, Jinan, China.

出版信息

Front Neurosci. 2023 Apr 6;17:1097490. doi: 10.3389/fnins.2023.1097490. eCollection 2023.

Abstract

INTRODUCTION

This study aimed to assess the predictive role of blood markers in neuromyelitis optica spectrum disorders (NMOSD).

METHODS

Data from patients with NMOSD, multiple sclerosis (MS), and healthy individuals were retrospectively collected in a 1:1:1 ratio. The expanded disability status scale (EDSS) score was used to assess the severity of the NMOSD upon admission. Receiver operating characteristic (ROC) curve analysis was used to distinguish NMOSD patients from healthy individuals, and active NMOSD from remitting NMOSD patients. Binary logistic regression analysis was used to evaluate risk factors that could be used to predict disease recurrence. Finally, Wilcoxon signed-rank test or matched-sample -test was used to analyze the differences between the indicators in the remission and active phases in the same NMOSD patient.

RESULTS

Among the 54 NMOSD patients, neutrophil count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) (platelet × NLR) were significantly higher than those of MS patients and healthy individuals and positively correlated with the EDSS score of NMOSD patients at admission. PLR can be used to simultaneously distinguish between NMOSD patients in the active and remission phase. Eleven (20.4%) of the 54 patients had recurrence within 12 months. We found that monocyte-to-lymphocyte ratio (MLR) (AUC = 0.76, cut-off value = 0.34) could effectively predict NMOSD recurrence. Binary logistic regression analysis showed that a higher MLR at first admission was the only risk factor for recurrence ( = 0.027; OR = 1.173; 95% CI = 1.018-1.351). In patients in the relapsing phase, no significant changes in monocyte and lymphocyte count was observed from the first admission, whereas patients in remission had significantly higher levels than when they were first admitted.

CONCLUSION

High PLR is a characteristic marker of active NMOSD, while high MLR is a risk factor for disease recurrence. These inexpensive indicators should be widely used in the diagnosis, prognosis, and judgment of treatment efficacy in NMOSD.

摘要

引言

本研究旨在评估血液标志物在视神经脊髓炎谱系障碍(NMOSD)中的预测作用。

方法

以1:1:1的比例回顾性收集NMOSD患者、多发性硬化症(MS)患者和健康个体的数据。采用扩展残疾状态量表(EDSS)评分评估NMOSD患者入院时的疾病严重程度。采用受试者工作特征(ROC)曲线分析将NMOSD患者与健康个体区分开来,并将活动期NMOSD患者与缓解期NMOSD患者区分开来。采用二元逻辑回归分析评估可用于预测疾病复发的危险因素。最后,采用Wilcoxon符号秩检验或配对样本检验分析同一NMOSD患者缓解期和活动期指标之间的差异。

结果

在54例NMOSD患者中,中性粒细胞计数、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)和全身免疫炎症指数(SII)(血小板×NLR)显著高于MS患者和健康个体,且与NMOSD患者入院时的EDSS评分呈正相关。PLR可用于同时区分活动期和缓解期的NMOSD患者。54例患者中有11例(20.4%)在12个月内复发。我们发现单核细胞与淋巴细胞比值(MLR)(AUC = 0.76,临界值 = 0.34)可有效预测NMOSD复发。二元逻辑回归分析显示,首次入院时较高的MLR是复发的唯一危险因素(P = 0.027;OR = 1.173;95%CI = 1.018 - 1.351)。在复发期患者中,首次入院时单核细胞和淋巴细胞计数无显著变化,而缓解期患者的水平显著高于首次入院时。

结论

高PLR是活动期NMOSD的特征性标志物,而高MLR是疾病复发的危险因素。这些廉价的指标应广泛应用于NMOSD的诊断、预后评估和治疗效果判断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08eb/10115963/c2e66ba5035e/fnins-17-1097490-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验