在中国队列中,kflc指数区分多发性硬化与抗髓鞘少突胶质细胞糖蛋白和水通道蛋白4疾病。

IF 8.7 1区 医学 Q1 CLINICAL NEUROLOGY
Hongmei Tan, Xuan Deng, Jingzi ZhangBao, Lei Zhou, Wenqing Wu, Haiqing Li, Yuxin Li, Yuxin Fan, Zhouzhou Wang, Yiqin Xiao, Chongbo Zhao, Ming Guan, Chao Quan, Haoqin Jiang
{"title":"在中国队列中,kflc指数区分多发性硬化与抗髓鞘少突胶质细胞糖蛋白和水通道蛋白4疾病。","authors":"Hongmei Tan, Xuan Deng, Jingzi ZhangBao, Lei Zhou, Wenqing Wu, Haiqing Li, Yuxin Li, Yuxin Fan, Zhouzhou Wang, Yiqin Xiao, Chongbo Zhao, Ming Guan, Chao Quan, Haoqin Jiang","doi":"10.1136/jnnp-2025-335953","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Kappa free light chain (KFLC) index has emerged as a diagnostic biomarker for multiple sclerosis (MS). This study aims to evaluate the diagnostic accuracy of the KFLC-index in Chinese patients with MS, and its capacity to discriminate MS from myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) and neuromyelitis optica spectrum disorders with aquaporin-4 antibody (AQP4+NMOSD).</p><p><strong>Methods: </strong>428 patients tested for KFLC-index were enrolled in the study, including 130 patients with MS, 41 with MOGAD, 25 with AQP4+NMOSD, 123 with other inflammatory or infectious neurological disorders (OIND) and 109 with non-inflammatory neurological disorders (NIND). Their oligoclonal band (OCB) results and clinical data were reviewed.</p><p><strong>Results: </strong>KFLC-index was significantly higher in MS (20.1 (0.9-388.9)) compared with MOGAD (4.8 (0.8-56.1), p=0.003), AQP4+NMOSD (4.5 (1.5-46.4), p=0.011), OIND (2.9 (0.6-238.7), p<0.001) and NIND (1.8 (0.6-110.7), p<0.001). The optimal cut-off value for the KFLC-index to identify MS from the non-selective controls was 8.3, with an accuracy comparable to that of OCB (area under the curve 0.84 vs 0.81, p=0.249). The optimal cut-off values for differentiating MS from MOGAD and AQP4+NMOSD were 18.5 and 12.1, with performance similar to OCB (p=0.756 and 0.064). Combination of KFLC-index and OCB outperformed OCB alone in differentiating MS from non-selective controls and MOGAD (p<0.001 and p=0.044). Female (p=0.009) and higher cerebrospinal fluid leucocyte count (p<0.001) were associated with higher KFLC-index in MS.</p><p><strong>Conclusion: </strong>KFLC-index is a valuable diagnostic tool for differentiating MS from other inflammatory demyelinating diseases.</p>","PeriodicalId":16418,"journal":{"name":"Journal of Neurology, Neurosurgery, and Psychiatry","volume":" ","pages":""},"PeriodicalIF":8.7000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"KFLC-index distinguishes multiple sclerosis from anti-myelin oligodendrocyte glycoprotein and aquaporin 4 diseases in a Chinese cohort.\",\"authors\":\"Hongmei Tan, Xuan Deng, Jingzi ZhangBao, Lei Zhou, Wenqing Wu, Haiqing Li, Yuxin Li, Yuxin Fan, Zhouzhou Wang, Yiqin Xiao, Chongbo Zhao, Ming Guan, Chao Quan, Haoqin Jiang\",\"doi\":\"10.1136/jnnp-2025-335953\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Kappa free light chain (KFLC) index has emerged as a diagnostic biomarker for multiple sclerosis (MS). This study aims to evaluate the diagnostic accuracy of the KFLC-index in Chinese patients with MS, and its capacity to discriminate MS from myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) and neuromyelitis optica spectrum disorders with aquaporin-4 antibody (AQP4+NMOSD).</p><p><strong>Methods: </strong>428 patients tested for KFLC-index were enrolled in the study, including 130 patients with MS, 41 with MOGAD, 25 with AQP4+NMOSD, 123 with other inflammatory or infectious neurological disorders (OIND) and 109 with non-inflammatory neurological disorders (NIND). Their oligoclonal band (OCB) results and clinical data were reviewed.</p><p><strong>Results: </strong>KFLC-index was significantly higher in MS (20.1 (0.9-388.9)) compared with MOGAD (4.8 (0.8-56.1), p=0.003), AQP4+NMOSD (4.5 (1.5-46.4), p=0.011), OIND (2.9 (0.6-238.7), p<0.001) and NIND (1.8 (0.6-110.7), p<0.001). The optimal cut-off value for the KFLC-index to identify MS from the non-selective controls was 8.3, with an accuracy comparable to that of OCB (area under the curve 0.84 vs 0.81, p=0.249). The optimal cut-off values for differentiating MS from MOGAD and AQP4+NMOSD were 18.5 and 12.1, with performance similar to OCB (p=0.756 and 0.064). Combination of KFLC-index and OCB outperformed OCB alone in differentiating MS from non-selective controls and MOGAD (p<0.001 and p=0.044). Female (p=0.009) and higher cerebrospinal fluid leucocyte count (p<0.001) were associated with higher KFLC-index in MS.</p><p><strong>Conclusion: </strong>KFLC-index is a valuable diagnostic tool for differentiating MS from other inflammatory demyelinating diseases.</p>\",\"PeriodicalId\":16418,\"journal\":{\"name\":\"Journal of Neurology, Neurosurgery, and Psychiatry\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":8.7000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Neurology, Neurosurgery, and Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/jnnp-2025-335953\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neurology, Neurosurgery, and Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/jnnp-2025-335953","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景:Kappa游离轻链(KFLC)指数已成为多发性硬化症(MS)的诊断性生物标志物。本研究旨在评估kflc -指数在中国多发性硬化症患者中的诊断准确性,以及kflc -指数结合水通道蛋白-4抗体(AQP4+NMOSD)区分多发性硬化症与髓鞘少突胶质细胞糖蛋白抗体相关疾病(MOGAD)和视神经脊髓炎谱系障碍的能力。方法:共纳入428例kflc指数检测患者,其中MS患者130例,MOGAD患者41例,AQP4+NMOSD患者25例,其他炎症性或感染性神经系统疾病(OIND)患者123例,非炎症性神经系统疾病(NIND)患者109例。回顾了他们的寡克隆带(OCB)结果和临床资料。结果:MS患者kflc指数(20.1(0.9-388.9))明显高于MOGAD患者(4.8 (0.8-56.1),p=0.003), AQP4+NMOSD患者(4.5 (1.5-46.4),p=0.011), OIND患者(2.9 (0.6-238.7),p=0.011)。结论:kflc指数是鉴别MS与其他炎性脱髓鞘疾病的重要诊断工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
KFLC-index distinguishes multiple sclerosis from anti-myelin oligodendrocyte glycoprotein and aquaporin 4 diseases in a Chinese cohort.

Background: Kappa free light chain (KFLC) index has emerged as a diagnostic biomarker for multiple sclerosis (MS). This study aims to evaluate the diagnostic accuracy of the KFLC-index in Chinese patients with MS, and its capacity to discriminate MS from myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) and neuromyelitis optica spectrum disorders with aquaporin-4 antibody (AQP4+NMOSD).

Methods: 428 patients tested for KFLC-index were enrolled in the study, including 130 patients with MS, 41 with MOGAD, 25 with AQP4+NMOSD, 123 with other inflammatory or infectious neurological disorders (OIND) and 109 with non-inflammatory neurological disorders (NIND). Their oligoclonal band (OCB) results and clinical data were reviewed.

Results: KFLC-index was significantly higher in MS (20.1 (0.9-388.9)) compared with MOGAD (4.8 (0.8-56.1), p=0.003), AQP4+NMOSD (4.5 (1.5-46.4), p=0.011), OIND (2.9 (0.6-238.7), p<0.001) and NIND (1.8 (0.6-110.7), p<0.001). The optimal cut-off value for the KFLC-index to identify MS from the non-selective controls was 8.3, with an accuracy comparable to that of OCB (area under the curve 0.84 vs 0.81, p=0.249). The optimal cut-off values for differentiating MS from MOGAD and AQP4+NMOSD were 18.5 and 12.1, with performance similar to OCB (p=0.756 and 0.064). Combination of KFLC-index and OCB outperformed OCB alone in differentiating MS from non-selective controls and MOGAD (p<0.001 and p=0.044). Female (p=0.009) and higher cerebrospinal fluid leucocyte count (p<0.001) were associated with higher KFLC-index in MS.

Conclusion: KFLC-index is a valuable diagnostic tool for differentiating MS from other inflammatory demyelinating diseases.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
15.70
自引率
1.80%
发文量
888
审稿时长
6 months
期刊介绍: The Journal of Neurology, Neurosurgery & Psychiatry (JNNP) aspires to publish groundbreaking and cutting-edge research worldwide. Covering the entire spectrum of neurological sciences, the journal focuses on common disorders like stroke, multiple sclerosis, Parkinson’s disease, epilepsy, peripheral neuropathy, subarachnoid haemorrhage, and neuropsychiatry, while also addressing complex challenges such as ALS. With early online publication, regular podcasts, and an extensive archive collection boasting the longest half-life in clinical neuroscience journals, JNNP aims to be a trailblazer in the field.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信