The predictive value of inflammatory biomarkers in the detection of multiple sclerosis attacks

IF 0.4 Q4 EMERGENCY MEDICINE Emergency Care Journal Pub Date : 2023-06-23 DOI:10.4081/ecj.2023.11314
Nafis Vural, Murat Duyan, Ali Sarıdaş, E. Ertaş, A. Kalkan
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Abstract

Multiple sclerosis (MS) is the most prevalent immune-mediated inflammatory demyelinating central nervous system disorder, with a diverse set of clinical signs and symptoms. This study aimed to investigate the diagnostic values of the monocyte/lymphocyte ratio (MLR), red cell distribution width/lymphocyte ratio (RLR), and systemic immune-inflammation index (SII) in detecting multiple sclerosis attacks in patients with Relapsing-remitting MS (RRMS) presenting to the emergency department (ED). This retrospective observational study was conducted among patients with RRMS presenting to the ED of a third-level hospital. The laboratory parameters of 165 patients were compared during the attack and non-attack periods. The paired t-test statistic was used to compare means of inflammatory biomarker measurements between attack and non-attack groups. The neutrophil/lymphocyte ratio (NLR), MLR, RLR, and SII mean of the patients in the MS attack periods were higher than those in the non-attack period. The mean difference of NLR, MLR, RLR, and SII between both groups was 5.40±7.25, 0.37±0.43, 7.77±11.61, 1469.19±1978.88, respectively (p<0.001). In ROC analysis, NLR, RLR, MLR, and SII had excellent diagnostic power in detecting MS relapse (AUC: 0.87, 0.81, 0.86, and 0.87, respectively). According to our findings, SII, MLR, NLR, and RLR may be beneficial in confirming the diagnosis of attack in patients with RRMS.
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炎症生物标志物在检测多发性硬化症发作中的预测价值
多发性硬化症(MS)是最常见的免疫介导的炎症性脱髓鞘中枢神经系统疾病,具有多种临床体征和症状。本研究旨在探讨单核细胞/淋巴细胞比率(MLR)、红细胞分布宽度/淋巴细胞比率和全身免疫炎症指数(SII)对急诊科复发缓解型多发性硬化症(RRMS)患者多发性病变的诊断价值。这项回顾性观察研究是在一家三级医院急诊室就诊的RRMS患者中进行的。对165名患者在发作期和非发作期的实验室参数进行了比较。配对t检验统计量用于比较发作组和非发作组之间炎症生物标志物测量的平均值。MS发作期患者的中性粒细胞/淋巴细胞比率(NLR)、MLR、RLR和SII平均值高于非发作期患者。两组间NLR、MLR、RLR和SII的平均差异分别为5.40±7.25、0.37±0.43、7.77±11.61、1469.19±1978.88(p<0.001)。根据我们的研究结果,SII、MLR、NLR和RLR可能有助于确认RRMS患者的发作诊断。
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来源期刊
Emergency Care Journal
Emergency Care Journal EMERGENCY MEDICINE-
CiteScore
0.10
自引率
60.00%
发文量
29
审稿时长
10 weeks
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