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Koh MJ, Saffari SE, Tye JSN, Aw AYY, Siew RWE, Peng X, Tan JMM, Tan K, Yeo T. A comparison of multiple sclerosis disease characteristics across three genetically diverse Asian racial groups in Singapore. Sci Rep 2024; 14:14690. [PMID: 38918591 PMCID: PMC11199559 DOI: 10.1038/s41598-024-65575-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 06/21/2024] [Indexed: 06/27/2024] Open
Abstract
Studies in Western populations have shown that Black and Hispanic patients have an earlier age of Multiple Sclerosis (MS) onset and a more severe disease course characterised by faster disability accrual compared to Whites. It is yet unclear whether MS disease characteristics and clinical course differ amongst Asian racial groups. Singapore is uniquely poised to investigate this as its multi-racial population comprises three genetically diverse Asian racial groups-Chinese, Malay and South Asian. Herein, we sought to elucidate differences in the clinical phenotypes, disease-modifying therapy (DMT) usage, and disease course amongst these three Asian racial groups by performinga retrospective observational study on MS patients seen at the National Neuroscience Institute, Singapore. Data on demographics, disease characteristics, ancillary investigations, and DMT usage were collected. One hundred and eighty-eight patients were included (90 Chinese, 32 Malay, and 66 South Asian). Our findings showed that MS prevalence was the highest in South Asians followed by Malays and Chinese, while demographics, healthcare access, and longer-term disease course were identical across the racial groups. However, several differences and trends were elucidated: (1) South Asian patients had milder sentinel attacks (p = 0.006), (2) a higher proportion of Malay patients had enhancing lesions on their initial MRI (p = 0.057) and the lesion topography differed across the races (p = 0.034), and (3) more Malay patients switched out of their initial DMT (p = 0.051). In conclusion, MS disease characteristics were largely similar across these three Asian racial groups, and while there were some clinical and radiological differences at presentation, these did not influence longer-term outcomes.
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Affiliation(s)
- Min Jie Koh
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
| | - Seyed Ehsan Saffari
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Janis Siew Noi Tye
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Amelia Yun Yi Aw
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Rachel Wan En Siew
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Xuejuan Peng
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Jeanne May May Tan
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Kevin Tan
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Tianrong Yeo
- Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
- Department of Neurology, National Neuroscience Institute, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore.
- Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore, Singapore.
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Zhang X, Hao H, Jin T, Qiu W, Yang H, Xue Q, Yin J, Shi Z, Yu H, Ji X, Sun X, Zeng Q, Liu X, Wang J, Li H, He X, Yang J, Li Y, Liu S, Lau AY, Gao F, Hu S, Chu S, Ding D, Zhou H, Li H, Chen X. Cerebrospinal fluid oligoclonal bands in Chinese patients with multiple sclerosis: the prevalence and its association with clinical features. Front Immunol 2023; 14:1280020. [PMID: 38035077 PMCID: PMC10687400 DOI: 10.3389/fimmu.2023.1280020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 10/27/2023] [Indexed: 12/02/2023] Open
Abstract
Background Cerebrospinal fluid oligoclonal band (CSF-OCB) is an established biomarker in diagnosing multiple sclerosis (MS), however, there are no nationwide data on CSF-OCB prevalence and its diagnostic performance in Chinese MS patients, especially in the virtue of common standard operation procedure (SOP). Methods With a consensus SOP and the same isoelectric focusing system, we conducted a nationwide multi-center study on OCB status in consecutively, and recruited 483 MS patients and 880 non-MS patients, including neuro-inflammatory diseases (NID, n = 595) and non-inflammatory neurological diseases (NIND, n=285). Using a standardized case report form (CRF) to collect the clinical, radiological, immunological, and CSF data, we explored the association of CSF-OCB positivity with patient characters and the diagnostic performance of CSF-OCB in Chinese MS patients. Prospective source data collection, and retrospective data acquisition and statistical data analysis were used. Findings 369 (76.4%) MS patients were OCB-positive, while 109 NID patients (18.3%) and 6 NIND patients (2.1%) were OCB-positive, respectively. Time from symptom onset to diagnosis was significantly shorter in OCB-positive than that in OCB-negative MS patients (13.2 vs 23.7 months, P=0.020). The prevalence of CSF-OCB in Chinese MS patients was significantly higher in high-latitude regions (41°-50°N)(P=0.016), and at high altitudes (>1000m)(P=0.025). The diagnostic performance of CSF-OCB differentiating MS from non-MS patients yielded a sensitivity of 76%, a specificity of 87%. Interpretation The nationwide prevalence of CSF-OCB was 76.4% in Chinese MS patients, and demonstrated a good diagnostic performance in differentiating MS from other CNS diseases. The CSF-OCB prevalence showed a correlation with high latitude and altitude in Chinese MS patients.
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Affiliation(s)
- Xiang Zhang
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Hongjun Hao
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Tao Jin
- Department of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, China
| | - Wei Qiu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Huan Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qun Xue
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jian Yin
- Department of Neurology, Beijing Hospital, Beijing, China
| | - Ziyan Shi
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Hai Yu
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Xiaopei Ji
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaobo Sun
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Qiuming Zeng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoni Liu
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Jingguo Wang
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Huining Li
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaoyan He
- Department of Neurology, The Xinjiang Uygur Autonomous Region People’s Hospital, Urumqi, China
| | - Jing Yang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarong Li
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shuangshuang Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Alexander Y. Lau
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Feng Gao
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Shimin Hu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Evidence-Based Medicine, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Shuguang Chu
- Department of Radiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ding Ding
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Hongyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Haifeng Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiangjun Chen
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
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Finsterer J. Sudden Death Is More Likely to Result From SARS-COV-2 Infection Than Multiple Sclerosis. J Korean Med Sci 2023; 38:e393. [PMID: 37967883 PMCID: PMC10643249 DOI: 10.3346/jkms.2023.38.e393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 07/13/2023] [Indexed: 11/17/2023] Open
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Wang M, Liu C, Zou M, Niu Z, Zhu J, Jin T. Recent progress in epidemiology, clinical features, and therapy of multiple sclerosis in China. Ther Adv Neurol Disord 2023; 16:17562864231193816. [PMID: 37719665 PMCID: PMC10504852 DOI: 10.1177/17562864231193816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 07/24/2023] [Indexed: 09/19/2023] Open
Abstract
Multiple sclerosis (MS) is a demyelinating disease of the central nervous system characterized by inflammation, demyelination, and neurodegeneration. It mainly affects young adults, imposing a heavy burden on families and society. The epidemiology, clinical features, and management of MS are distinct among different countries. Although MS is a rare disease in China, there are 1.4 billion people in China, so the total number of MS patients is not small. Because of the lack of specific diagnostic biomarkers for MS, there is a high misdiagnosis rate in China, as in other regions. Due to different genetic backgrounds, the clinical manifestations of MS in Chinese are different from those in the West. Herein, this review aims to summarize the disease comprehensively, including clinical profile and the status of disease-modifying therapies in China based on published population-based observation and cohort studies, and also to compare with data from other countries and regions, thus providing help to develop diagnostic guideline and the novel therapeutic drugs. Meanwhile, we also discuss the problems and challenges we face, specifically for the diagnosis and treatment of MS in the middle- and low-income countries.
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Affiliation(s)
- Meng Wang
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Caiyun Liu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Meijuan Zou
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Zixuan Niu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Jie Zhu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, No. 1, Xinmin Street, Changchun 130021, China
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Karolinska University Hospital, Solna, Stockholm 171 64, Sweden
| | - Tao Jin
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, No. 1, Xinmin Street, Changchun 130021, China
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Aleksandravičiūtė E, Stankevičiūtė R, Balnytė R, Šaknys L, Ulozienė I. Oligoclonal Band Status and Features of Radiological and Clinical Findings in Patients with Multiple Sclerosis in Lithuania. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1028. [PMID: 37374232 PMCID: PMC10301297 DOI: 10.3390/medicina59061028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/29/2023]
Abstract
Background and Objectives: Multiple sclerosis (MS) is a widely spread and debilitating disease with 2.8 million people worldwide currently affected. However, the exact pathogenesis of the disease and its progression remains incompletely understood. According to the revised McDonald criteria, cerebrospinal fluid oligoclonal bands (CSF OCBs) magnetic resonance imaging (MRI) results, in conjunction with clinical presentation, remain the gold standard of MS diagnostics. Therefore, this study aims to evaluate the association between CSF OCB status and features of radiological and clinical findings in patients with multiple sclerosis in Lithuania. Materials and Methods: The selection of 200 MS patients was performed in order to find associations between CSF OCB status, MRI data and various disease features. The data were acquired from outpatient records and a retrospective analysis was performed. Results: OCB positive patients were diagnosed with MS earlier and had spinal cord lesions more frequently than OCB negative patients. Patients with lesions in the corpus callosum had a greater increase in the Expanded Disability Status Scale (EDSS) score between their first and last visit. Patients with brainstem lesions had higher EDSS scores during their first and last visit. Even so, the progression of the EDSS score was not greater. The time between the first symptoms and diagnosis was shorter for patients who had juxtacortical lesions than patients who did not. Conclusions: CSF OCBs and MRI data remain irreplaceable tools when diagnosing multiple sclerosis as well as prognosing the development of the disease and disability.
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Affiliation(s)
- Emilija Aleksandravičiūtė
- Department of Neurology, Lithuanian University of Health Sciences Medical Academy, A. Mickevičiaus g.9, LT-44307 Kaunas, Lithuania
| | - Radvilė Stankevičiūtė
- Department of Neurology, Lithuanian University of Health Sciences Medical Academy, A. Mickevičiaus g.9, LT-44307 Kaunas, Lithuania
| | - Renata Balnytė
- Department of Neurology, Lithuanian University of Health Sciences Medical Academy, A. Mickevičiaus g.9, LT-44307 Kaunas, Lithuania
| | - Laurynas Šaknys
- Department of Neurology, Lithuanian University of Health Sciences Medical Academy, A. Mickevičiaus g.9, LT-44307 Kaunas, Lithuania
| | - Ingrida Ulozienė
- Department of Otorhinolaringology, Lithuanian University of Health Sciences Medical Academy, A. Mickevičiaus g.9, LT-44307 Kaunas, Lithuania
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Liu Z, Nie Z, Lu Y, Sun J, Zhou L, Long Y, Wang H, Feng H, Li Y, Wang Z, Zhao Y, Du B, Guo A, Qiu W. Prevalence of multiple sclerosis in Guangzhou, China: A population-based case-finding prospective study. Mult Scler Relat Disord 2022; 68:104151. [PMID: 36088728 DOI: 10.1016/j.msard.2022.104151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 08/23/2022] [Accepted: 08/26/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Multiple sclerosis (MS) is rare in China, and the prevalence previously reported may be biased. Currently, few studies that have investigated the prevalence of MS in China based on the latest diagnostic criteria. METHODS Through a population-based survey from August 8, 2021 to December 31, 2021, we calculated the prevalence of multiple sclerosis in 18,676,605 residents of Guangzhou, China. MS patients were identified through the health insurance system of the Guangzhou Health Insurance Bureau, and we surveyed 17 large tertiary hospitals using a case-finding approach. All MS patients were diagnosed according to the 2017 McDonald criteria. RESULTS A total of 143 patients in the resident population of Guangzhou were diagnosed with MS, with a crude prevalence of 0.77 per 100,000 (95% confidence interval (CI): 0.65-0.90), and the prevalence was higher in in females (1.14/100,000) than in males (0.44/100,000). The age-adjusted prevalence was 0.92 per 100,000 (95% CI: 0.77-1.10). The prevalence peaked at the age of 25-29 years (2.86/100,000) for both males and females (1.44/100,000 and 4.42/100,000, respectively). CONCLUSIONS This is the first study to report the prevalence of MS in Guangzhou, China, according to the criteria. Our study shows that the prevalence of MS in Guangzhou is lower than that in other cities in China.
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Affiliation(s)
- Zifeng Liu
- Big Data and Artificial Intelligence Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Zhiqiang Nie
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
| | - Yaxin Lu
- Big Data and Artificial Intelligence Center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Junru Sun
- Medical Insurance Office, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Luyao Zhou
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Youming Long
- Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Honghao Wang
- Department of Neurology, Nanfang Hospital of Southern Medical University, Guangzhou, China
| | - Huiyu Feng
- Department of Neurology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yi Li
- Department of Neurology, Sun Yat Sen Memorial Hospital of Sun Yat sen University, Guangzhou, China
| | - Zhanhang Wang
- Department of Neurology, Guangdong 999 Brain Hospital, Guangzhou, China
| | - Yuanqi Zhao
- Department of Neurology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Baoxin Du
- Department of Neurology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Aihua Guo
- Department of Neurology, Guangzhou First People's Hospital, Guangzhou, China
| | - Wei Qiu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
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A Comparison of IgG Index and Oligoclonal Band in the Cerebrospinal Fluid for Differentiating between RRMS and NMOSD. Brain Sci 2021; 12:brainsci12010069. [PMID: 35053810 PMCID: PMC8773790 DOI: 10.3390/brainsci12010069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/22/2021] [Accepted: 12/29/2021] [Indexed: 11/16/2022] Open
Abstract
As the oligoclonal band in the cerebrospinal fluid (CSF-OCB) in predicting relapsing-remitting multiple sclerosis (RRMS) is less sensitive in Asian populations than that in westerners, it remains elusive whether the IgG index could serve as an alternative. The purpose of this study was to compare these two methods of differentiating between RRMS and neuromyelitis optica spectrum disorder (NMOSD) in Chinese patients. A total of 171 patients (81 RRMS and 90 NMOSD) were retrospectively recruited, of whom 82 (56 RRMS and 26 NMOSD) received the CSF-OCB testing additionally. When the onset age was ≤38.5 years, IgG index with the threshold of 0.67 had a significant agreement (k = 0.4, p < 0.001) with the diagnosis while CSF-OCB failed to discriminate (k = 0.1, p = 0.578). However, when the onset age was >38.5 years, both IgG index with the threshold of 0.8 and CSF-OCB were moderately consistent with the diagnosis (both k > 0.4, p < 0.05). In total, our optimized algorithm had the sensitivity, specificity, and predictive accuracy of 0.778, slightly outperforming the CSF-OCB model. Accordingly, a combination of the onset age and IgG index could serve as an alternative to CSF-OCB for differentiating between RRMS and NMOSD in Chinese patients.
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Kim KH, Kim SH, Park NY, Hyun JW, Kim HJ. Reappraisal of CSF-specific oligoclonal bands in Asia. Mult Scler 2021; 28:665-668. [PMID: 34612101 DOI: 10.1177/13524585211048752] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The prevalence of cerebrospinal fluid-specific oligoclonal bands (CSF-OCBs) was reported to be low in Asian people with multiple sclerosis (pwMS) compared to that in Western pwMS. It is yet to be determined whether it is a genuine feature of Asian pwMS or a misapprehension owing to past mis-classification of MS-mimicking diseases as MS. We aimed to reappraise the prevalence of CSF-OCBs in Korean pwMS after carefully excluding other central nervous system-inflammatory demyelinating diseases since 2017. Among 88 subjects, 78 (88.6%) were positive for CSF-OCBs, which suggests the prevalence of CSF-OCBs is not different between Korean and Western pwMS.
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Affiliation(s)
- Ki Hoon Kim
- Department of Neurology, Research Institute and Hospital, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang 10408, Korea.,Department of Neurology, Research Institute and Hospital, National Cancer Center, Goyang, Korea
| | - Su-Hyun Kim
- Department of Neurology, Research Institute and Hospital, National Cancer Center, Goyang, Korea
| | - Na Young Park
- Department of Neurology, Research Institute and Hospital, National Cancer Center, Goyang, Korea
| | - Jae-Won Hyun
- Department of Neurology, Research Institute and Hospital, National Cancer Center, Goyang, Korea
| | - Ho Jin Kim
- Department of Neurology, Research Institute and Hospital, National Cancer Center, Goyang, Korea
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Wang R, Luo W, Liu Z, Liu W, Liu C, Liu X, Zhu H, Li R, Song J, Hu X, Han S, Qiu W. Integration of the Extreme Gradient Boosting model with electronic health records to enable the early diagnosis of multiple sclerosis. Mult Scler Relat Disord 2020; 47:102632. [PMID: 33276240 DOI: 10.1016/j.msard.2020.102632] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 10/31/2020] [Accepted: 11/13/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND Delayed multiple sclerosis (MS) diagnoses are not uncommon, an early diagnostic tool is urgently warranted. We aimed to develop an effective tool through electronic health records and machine learning techniques to early recognize MS patients from hospital visitors in China. METHODS Two case sets were collected from January 2016 to December 2018. The training set had 239 MS and 1142 controls, and the test set had 23 MS and 92 controls. The utility of Extreme Gradient Boosting (XGBoost), Random Forest (RF), Naive Bayes, K-nearest-neighbor (KNN) and Support Vector Machine (SVM) in early diagnosis of MS was evaluated by the area under curve of receiver operating characteristic, precision, recall, specificity, accuracy and F1 score. RESULTS The XGBoost performed the best and was used to generate the results. Thirty-four variables which were highly relevant to MS diagnosis were set for the XGBoost model, and their relative importance with MS were ranked. The training set recall was 0.632, with a precision of 0.576, and the test set recall was 0.609, with a precision of 0.609. Our study found that 61%, 51%, and 49% of the patients could be diagnosed with MS, 1, 2, and 3 years earlier than their real diagnostic time point, respectively. CONCLUSIONS A diagnostic tool for early MS recognition based on the XGBoost model and electronic health records were developed to help reduce diagnostic delays in MS.
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Affiliation(s)
- Ruoning Wang
- Department of Continuing Medical Education, Peking University Health Science Center, Beijing, China
| | - Wenjing Luo
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Zifeng Liu
- Department of clinical data center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Weilong Liu
- Medical Data Operation Department, Chengdu Medlinker Science and Technology Co., Ltd, Beijing, China
| | - Chunxin Liu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Xun Liu
- Department of clinical data center, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - He Zhu
- Department of Real-World Evidence and Pharmacoeconomics, International Research Center for Medicinal Administration, Peking University, Beijing, China
| | - Rui Li
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Jiafang Song
- Department of Real-World Evidence and Pharmacoeconomics, International Research Center for Medicinal Administration, Peking University, Beijing, China
| | - Xueqiang Hu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Sheng Han
- Department of Real-World Evidence and Pharmacoeconomics, International Research Center for Medicinal Administration, Peking University, Beijing, China.
| | - Wei Qiu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
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CSF oligoclonal band frequency in a Cuban cohort of patients with multiple sclerosis. comparison with Latin American countries and association with latitude. Mult Scler Relat Disord 2020; 45:102412. [DOI: 10.1016/j.msard.2020.102412] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 07/14/2020] [Accepted: 07/16/2020] [Indexed: 11/20/2022]
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Zheng Y, Cai MT, Yang F, Zhou JP, Fang W, Shen CH, Zhang YX, Ding MP. IgG Index Revisited: Diagnostic Utility and Prognostic Value in Multiple Sclerosis. Front Immunol 2020; 11:1799. [PMID: 32973754 PMCID: PMC7468492 DOI: 10.3389/fimmu.2020.01799] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 07/06/2020] [Indexed: 12/22/2022] Open
Abstract
Objective: Early and accurate diagnosis of multiple sclerosis (MS) remains a clinical challenge. The main objective is to evaluate the diagnostic and prognostic value of the routinely performed immunoglobulin G (IgG) index for MS patients in the Asian population. Methods: A retrospective study was conducted among a cohort of clinically isolated syndrome (CIS) patients in China with known oligoclonal band (OCB) status and IgG index at baseline. We first evaluated the predictive value of IgG index for OCB status. Secondly, the diagnostic utility and prognostic value of IgG index alone were tested. Lastly, we incorporated IgG index into the 2017 McDonald criteria by replacing OCB with either “IgG index or OCB” (modified criteria 1), “IgG index and OCB” (modified criteria 2), or “IgG index” (modified criteria 3). The diagnostic utility of different criteria was calculated and compared. Results: In a CIS cohort in China (n = 105), IgG index > 0.7 forecasted OCB positivity (X2 = 22.90, P < 0.001). An elevated IgG index was highly prognostic of more clinical relapses [1-year adjusted odds ratio [OR] = 1.32, P = 0.015; 2-years adjusted OR = 1.69, P = 0.013] and Expanded Disability Status Scale worsening (1-year adjusted OR = 1.76, P = 0.040; 2-years adjusted OR = 1.85, P = 0.032). Under the 2017 McDonald criteria (Positive Likelihood Ratio = 1.54, Negative Likelihood Ratio = 0.56), an IgG index > 0.7 in CIS patients increased the likelihood of developing MS within 2 years, either when OCB status was unknown (Positive Likelihood Ratio = 2.11) or with OCB positivity (Positive Likelihood Ratio = 2.11) at baseline; An IgG index ≤ 0.7, along with a negative OCB, helped rule out the MS diagnosis (Negative Likelihood Ratio = 0.53). Conclusions: IgG index > 0.7 predicts OCB positivity at the initial attack of MS and is prognostic of early disease activity. IgG index serves as an easily-obtainable and accurate OCB surrogate for MS diagnosis in the Asian population.
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Affiliation(s)
- Yang Zheng
- Department of Neurology, School of Medicine, Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Meng-Ting Cai
- Department of Neurology, School of Medicine, Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Fan Yang
- Department of Neurology, School of Medicine, Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Ji-Ping Zhou
- Harvard University School of Public Health, Boston, MA, United States
| | - Wei Fang
- Department of Neurology, School of Medicine, Fourth Affiliated Hospital, Zhejiang University, Yiwu, China
| | - Chun-Hong Shen
- Department of Neurology, School of Medicine, Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Yin-Xi Zhang
- Department of Neurology, School of Medicine, Second Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Mei-Ping Ding
- Department of Neurology, School of Medicine, Second Affiliated Hospital, Zhejiang University, Hangzhou, China
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12
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Advanced MRI features in relapsing multiple sclerosis patients with and without CSF oligoclonal IgG bands. Sci Rep 2020; 10:13703. [PMID: 32792656 PMCID: PMC7426866 DOI: 10.1038/s41598-020-70693-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 08/03/2020] [Indexed: 01/07/2023] Open
Abstract
Oligoclonal IgG bands (OCB) in cerebrospinal fluid (CSF) are important in diagnosis of multiple sclerosis (MS). We evaluated the MRI features of clinically definite MS subjects with and without CSF-OCB. Relapsing MS subjects were recruited from a prospective registry in a university center. CSF-OCB were detected using isoelectric focusing and lgG-specific immunofixation. MRI metrics including brain volumes, lesion volumes and microstructural measures, were analyzed by FMRIB Software Library (FSL) and Statistical Parametric Mapping (SPM). Seventy-five subjects with relapsing MS were analyzed. Forty-four (59%) subjects had an interval MRI at around 1 year. CSF-OCB were detected in 46 (61%) subjects. The OCB-positive group had a higher proportion of cerebellar lesions than the OCB-negative group (23.9% vs. 3.4%, p = 0.057). Except for amygdala volumes which were lower in the OCB-positive group (p = 0.034), other regional brain volumes including the subcortical deep gray matter and corpus callosum were similar. The two groups also showed comparable brain atrophy rate. For DTI, the OCB-positive group showed significantly higher mean diffusivity (MD) value in perilesional normal-appearing white matter (p = 0.043). Relapsing MS patients with and without CSF-OCB shared similar MRI features regarding volumetric analyses and DTI microstructural integrity.
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Simonsen CS, Flemmen HØ, Lauritzen T, Berg-Hansen P, Moen SM, Celius EG. The diagnostic value of IgG index versus oligoclonal bands in cerebrospinal fluid of patients with multiple sclerosis. Mult Scler J Exp Transl Clin 2020; 6:2055217319901291. [PMID: 32030196 PMCID: PMC6977237 DOI: 10.1177/2055217319901291] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 11/26/2019] [Accepted: 12/23/2019] [Indexed: 12/22/2022] Open
Abstract
Background Diagnostic criteria for multiple sclerosis have been developed to guide the diagnostic process. In the latest revision of the McDonald criteria, the presence of oligoclonal bands may replace the need for dissemination in time. The aim of this study is to investigate if the less time-consuming analysis of immunoglobulin G index in cerebrospinal fluid can safely predict the findings of oligoclonal bands. Methods This is a retrospective study of patients with multiple sclerosis at three hospitals in South-East Norway where lumbar puncture is performed routinely. We included patients diagnosed with multiple sclerosis after 2005 with known oligoclonal band status and an immunoglobulin G index score. Results Of 1295 patients diagnosed during or after 2005, 93.8% were oligoclonal band positive at diagnosis. Of 842 multiple sclerosis patients with known immunoglobulin G index and oligoclonal band status, 93.3% were oligoclonal band positive and 76.7% had an elevated immunoglobulin G index. The positive predictive value of a high immunoglobulin G index when oligoclonal bands are positive was 99.4% (95% confidence interval 98.4–99.8%). The negative predictive value of a normal immunoglobulin G index when oligoclonal bands are negative was 26.5% (95% confidence interval 23.5–29.9%). Conclusion An immunoglobulin G index >0.7 has a positive predictive value >99% for oligoclonal bands. An elevated immunoglobulin G index adds diagnostic value versus oligoclonal bands and saves time in the diagnostic process.
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Affiliation(s)
| | | | | | | | | | - Elisabeth Gulowsen Celius
- Department of Neurology, Oslo University Hospital, Norway.,Institute of Clinical Medicine, University of Oslo, Norway
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