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Arnett S, Chew SH, Leitner U, Hor JY, Paul F, Yeaman MR, Levy M, Weinshenker BG, Banwell BL, Fujihara K, Abboud H, Dujmovic Basuroski I, Arrambide G, Neubrand VE, Quan C, Melamed E, Palace J, Sun J, Asgari N, Broadley SA. Sex ratio and age of onset in AQP4 antibody-associated NMOSD: a review and meta-analysis. J Neurol 2024; 271:4794-4812. [PMID: 38958756 PMCID: PMC11319503 DOI: 10.1007/s00415-024-12452-8] [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: 03/14/2024] [Revised: 05/15/2024] [Accepted: 05/16/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND Aquaporin-4 (AQP4) antibody-associated neuromyelitis optica spectrum disorder (NMOSD) is an antibody-mediated inflammatory disease of the central nervous system. We have undertaken a systematic review and meta-analysis to ascertain the sex ratio and mean age of onset for AQP4 antibody associated NMOSD. We have also explored factors that impact on these demographic data. METHODS A systematic search of databases was conducted according to the PRISMA guidelines. Articles reporting sex distribution and age of onset for AQP4 antibody-associated NMSOD were reviewed. An initially inclusive approach involving exploration with regression meta-analysis was followed by an analysis of just AQP4 antibody positive cases. RESULTS A total of 528 articles were screened to yield 89 articles covering 19,415 individuals from 88 population samples. The female:male sex ratio was significantly influenced by the proportion of AQP4 antibody positive cases in the samples studied (p < 0.001). For AQP4 antibody-positive cases the overall estimate of the sex ratio was 8.89 (95% CI 7.78-10.15). For paediatric populations the estimate was 5.68 (95% CI 4.01-8.03) and for late-onset cases, it was 5.48 (95% CI 4.10-7.33). The mean age of onset was significantly associated with the mean life expectancy of the population sampled (p < 0.001). The mean age of onset for AQP4 antibody-positive cases in long-lived populations was 41.7 years versus 33.3 years in the remainder. CONCLUSIONS The female:male sex ratio and the mean age of onset of AQP4 antibody-associated NMOSD are significantly higher than MS. The sex ratio increases with the proportion of cases that are positive for AQP4 antibodies and the mean age of onset increases with population life expectancy.
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Affiliation(s)
- Simon Arnett
- School of Medicine and Dentistry, Gold Coast Campus, Griffith University, Gold Coast, QLD, 4222, Australia.
- Department of Neurology, Gold Coast University Hospital, Southport, QLD, Australia.
| | - Sin Hong Chew
- School of Medicine and Dentistry, Gold Coast Campus, Griffith University, Gold Coast, QLD, 4222, Australia
- Department of Neurology, Gold Coast University Hospital, Southport, QLD, Australia
| | - Unnah Leitner
- School of Medicine and Dentistry, Gold Coast Campus, Griffith University, Gold Coast, QLD, 4222, Australia
| | - Jyh Yung Hor
- Department of Neurology, Penang General Hospital, George Town, Penang, Malaysia
| | - Friedemann Paul
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Michael R Yeaman
- Department of Medicine, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA
- Department of Medicine, Divisions of Molecular Medicine & Infectious Diseases, Harbor-UCLA Medical Center, Torrance, CA, USA
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Michael Levy
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Brenda L Banwell
- Division of Child Neurology, Children's Hospital of Philadelphia, Department of Neurology and Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kazuo Fujihara
- Department of Multiple Sclerosis Therapeutics, Fukushima Medical University and Multiple Sclerosis and Neuromyelitis Optica Center, Southern Tohoku Research Institute for Neuroscience, Koriyama, Japan
| | - Hesham Abboud
- Case Western Reserve University, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | | | - Georgina Arrambide
- Neurology-Neuroimmunology Department, Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Catalonia, Spain
| | - Veronika E Neubrand
- Department of Cell Biology, Faculty of Sciences, University of Granada, Granada, Spain
| | - Chao Quan
- Department of Neurology, The National Centre for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Esther Melamed
- Dell Medical School, University of Texas, Austin, TX, USA
| | - Jacqueline Palace
- Nuffield Department of Clinical Neurosciences, Oxford University Hospitals, Oxford, UK
- Department Clinical Neurology, John Radcliffe Hospital, Oxford, OX3 9DU, UK
| | - Jing Sun
- School of Medicine and Dentistry, Gold Coast Campus, Griffith University, Gold Coast, QLD, 4222, Australia
- Institute of Integrated Intelligence and Systems, Nathan Campus, Griffith University, Nathan, QLD, Australia
- Rural Health Research Institute, Charles Sturt University, Bathurst, NSW, Australia
| | - Nasrin Asgari
- Department of Neurology, Slagelse Hospital, Slagelse, Denmark
- Institutes of Regional Health Research and Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Simon A Broadley
- School of Medicine and Dentistry, Gold Coast Campus, Griffith University, Gold Coast, QLD, 4222, Australia
- Department of Neurology, Gold Coast University Hospital, Southport, QLD, Australia
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Woo H, Hwang J, Choi SA, Chae SA. Epidemiology and Healthcare Utilization in Pediatric Multiple Sclerosis and Neuromyelitis Optica: A Nationwide Population-Based Study in South Korea (2016-2020). CHILDREN (BASEL, SWITZERLAND) 2024; 11:553. [PMID: 38790547 PMCID: PMC11119460 DOI: 10.3390/children11050553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 04/29/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024]
Abstract
Pediatric multiple sclerosis (MS) and neuromyelitis optica (NMO) are rare acquired demyelinating syndrome with limited epidemiological data available, particularly in non-Western setting. This study aimed to demonstrate the epidemiology of pediatric MS and NMO in South Korea and to analyze of healthcare utilization and economic burden associated with these conditions. Using a nationwide population-based database from the Korean Health Insurance Review and Assessment Service database, we identified pediatric cases (age < 20 years) of MS and NMO from 2016 to 2020. We analyzed incidence, prevalence, healthcare utilization and medical costs. The study found low age-standardized incidence and prevalence rates for pediatric MS and NMO in South Korea. There was a marked disparity in healthcare utilization between urban and rural areas. Most healthcare interactions occurred in tertiary hospitals in urban settings, particularly in Seoul. The study also highlighted the substantial economic burden associated with the management of rare diseases, with annual variability in medical costs. Pediatric MS and NMO are extremely rare in South Korea, with significant regional disparity in healthcare utilization. The findings emphasize the need for targeted healthcare policies to improve access and reduce disparities, particularly for chronic and rare diseases requiring specialized care.
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Affiliation(s)
- Hyewon Woo
- Department of Pediatrics, Chungbuk National University Hospital, Cheongju 28644, Republic of Korea;
| | - Junho Hwang
- Department of pediatrics, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul 06973, Republic of Korea; (J.H.); (S.A.C.)
| | - Sun Ah Choi
- Department of pediatrics, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea
| | - Soo Ahn Chae
- Department of pediatrics, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul 06973, Republic of Korea; (J.H.); (S.A.C.)
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Huh K, Kim YE, Radnaabaatar M, Lee DH, Kim DW, Shin SA, Jung J. Estimating Baseline Incidence of Conditions Potentially Associated with Vaccine Adverse Events: a Call for Surveillance System Using the Korean National Health Insurance Claims Data. J Korean Med Sci 2021; 36:e67. [PMID: 33686812 PMCID: PMC7940120 DOI: 10.3346/jkms.2021.36.e67] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 02/24/2021] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Vaccines against coronavirus disease 2019 (COVID-19) are raising concerns about vaccine safety, particularly in the context of large-scale immunization. To address public concerns, we measured the baseline incidence rates of major conditions potentially related to vaccine-related adverse events (VAEs). We aimed to provide a basis for evaluating VAEs and verifying causality. METHODS Conditions of interest were selected from the US Vaccine Adverse Event Reporting System Table of Reportable Events and a recent report from a European consortium on vaccine surveillance. We used the National Health Insurance Service database in Korea to identify the monthly numbers of cases with these conditions. Data from January 2006 to June 2020 were included. Prediction models were constructed from the observed incidences using an autoregressive integrated moving average. We predicted the incidences of the conditions and their respective 95% confidence intervals (CIs) for January through December 2021. In addition, subgroup analysis for the expected vaccination population was conducted. RESULTS Mean values (95% CIs) of the predicted monthly incidence of vasovagal syncope, anaphylaxis, brachial neuritis, acute disseminated encephalomyelitis, Bell's palsy, Guillain-Barré syndrome, encephalopathy, optic neuritis, transverse myelitis, immune thrombocytopenic purpura, and systemic lupus erythematosus in 2021 were 23.89 (19.81-27.98), 4.72 (3.83-5.61), 57.62 (51.37-63.88), 0.03 (0.01-0.04), 8.58 (7.90-9.26), 0.26 (0.18-0.34), 2.13 (1.42-2.83), 1.65 (1.17-2.13), 0.19 (0.14-0.25), 0.75 (0.61-0.90), and 3.40 (2.79-4.01) cases per 100,000 respectively. The majority of the conditions showed an increasing trend with seasonal variations in their incidences. CONCLUSION We measured the incidence of a total of 11 conditions that could potentially be associated with VAEs to predict the monthly incidence in 2021. In Korea, conditions that could potentially be related to VAEs occur on a regular basis, and an increasing trend is observed with seasonality.
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Affiliation(s)
- Kyungmin Huh
- Division of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Young Eun Kim
- Department of Big Data Strategy, National Health Insurance Service, Wonju, Korea
| | - Munkhzul Radnaabaatar
- Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Dae Ho Lee
- Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Dong Wook Kim
- Department of Big Data Strategy, National Health Insurance Service, Wonju, Korea
| | - Soon Ae Shin
- Department of Big Data Strategy, National Health Insurance Service, Wonju, Korea.
| | - Jaehun Jung
- Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
- Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea.
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