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Original Articles
The Validity and Reliability of Characterizing Epilepsy Based on an External Review of Medical Records
Bong Su Kang, Hae-Kwan Cheong, Ki-Young Jung, Sang Hyeon Jang, Jae Kook Yoo, Dong Wook Kim, Soo-Eun Chung, Seo-Young Lee
Epidemiol Health. 2013;35:e2013006.   Published online August 23, 2013
DOI: https://doi.org/10.4178/epih/e2013006
  • 17,699 View
  • 128 Download
  • 9 Crossref
AbstractAbstract PDF
Abstract
<sec><title>OBJECTIVES</title><p>Our goal is to validate diagnosing and characterizing epilepsy based on a medical record survey by external reviewers.</p></sec><sec><title>METHODS</title><p>We reviewed medical records from 80 patients who received antiepileptic drugs in 2009 at two hospitals. The study consisted of two steps; data abstraction by certified health record administrators and then verification by the investigators. The gold standard was the results of the survey performed by the epileptologists from their own hospital.</p></sec><sec><title>RESULTS</title><p>The specificity was more than 90.0% for diagnosis and activity, and for new-onset seizures. The sensitivity was 97.0% or more for diagnosis and activity and 66.7-75.0% for new-onset epilepsy. This method accurately classified epileptic syndromes in 90.2-92.9% of patients, causes in 85.4-92.7%, and age of onset in 78.0-81.0%. Kappa statistics for inter-rater reliability and test-retest reliability ranged from 0.641-0.975, which means substantial to near-perfect agreement in all items.</p></sec><sec><title>CONCLUSIONS</title><p>Our data suggest that epilepsy can be well identified by external review of medical records. This method may be useful as a basis for large-scale epidemiological research.</p></sec>
Summary

Citations

Citations to this article as recorded by  
  • The association between early childhood onset epilepsy and attention-deficit hyperactivity disorder (ADHD) in 3237 children and adolescents with Autism Spectrum Disorder (ASD): a historical longitudinal cohort data linkage study
    Lauren Carson, Valeria Parlatini, Tara Safa, Benjamin Baig, Hitesh Shetty, Jacqueline Phillips-Owen, Vibhore Prasad, Johnny Downs
    European Child & Adolescent Psychiatry.2023; 32(11): 2129.     CrossRef
  • Risk of COVID-19 Infection and of Severe Complications Among People With Epilepsy
    Joonsang Yoo, Jee Hyun Kim, Jimin Jeon, Jinkwon Kim, Tae-Jin Song
    Neurology.2022;[Epub]     CrossRef
  • The bumpy road to achieve reliability of clinical profile characteristics in psychosis and related disorders
    Steven Berendsen, Mirjam J. van Tricht, Amy Tedja, Thijs J. Burger, Mariken B. de Koning, Lieuwe de Haan
    International Journal of Methods in Psychiatric Research.2021;[Epub]     CrossRef
  • Staging and profiling for schizophrenia spectrum disorders: Inter-rater reliability after a short training course
    Steven Berendsen, Jasper W. van der Paardt, Henricus L. Van, Marion van Bruggen, Hans Nusselder, Margje Jalink, Olav R. de Peuter, Jaap Peen, Mirjam J. van Tricht, Lieuwe de Haan
    Progress in Neuro-Psychopharmacology and Biological Psychiatry.2020; 99: 109856.     CrossRef
  • The new definition and classification of seizures and epilepsy
    Jessica J. Falco-Walter, Ingrid E. Scheffer, Robert S. Fisher
    Epilepsy Research.2018; 139: 73.     CrossRef
  • Presentation and management of community-onset vs hospital-onset first seizures
    Emma Foster, Sarah Holper, Zhibin Chen, Patrick Kwan
    Neurology Clinical Practice.2018; 8(5): 421.     CrossRef
  • Estimating the Prevalence of Treated Epilepsy Using Administrative Health Data and Its Validity: ESSENCE Study
    Seo-Young Lee, Soo-Eun Chung, Dong Wook Kim, So-Hee Eun, Hoon Chul Kang, Yong Won Cho, Sang Do Yi, Heung Dong Kim, Ki-Young Jung, Hae-Kwan Cheong
    Journal of Clinical Neurology.2016; 12(4): 434.     CrossRef
  • Early Antiretroviral Therapy Is Protective Against Epilepsy in Children With Human Immunodeficiency Virus Infection in Botswana
    David Bearden, Andrew P. Steenhoff, Dennis J. Dlugos, Dennis Kolson, Parth Mehta, Sudha Kessler, Elizabeth Lowenthal, Baphaleng Monokwane, Gabriel Anabwani, Gregory P. Bisson
    JAIDS Journal of Acquired Immune Deficiency Syndromes.2015; 69(2): 193.     CrossRef
  • Clinical characteristics of patients with treated epilepsy in Korea: A nationwide epidemiologic study
    Dong Wook Kim, Seo‐Young Lee, Soo‐Eun Chung, Hae‐Kwan Cheong, Ki‐Young Jung
    Epilepsia.2014; 55(1): 67.     CrossRef
Burden of Disease of Multiple Sclerosis in Korea
Soo-Eun Chung, Hae-Kwan Cheong, Jae-Hyun Park, Ho Jin Kim
Epidemiol Health. 2012;34:e2012008.   Published online November 30, 2012
DOI: https://doi.org/10.4178/epih/e2012008
  • 20,040 View
  • 151 Download
  • 19 Crossref
AbstractAbstract PDF
Abstract
<sec><title>OBJECTIVES</title><p>Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system. There are few reports on the burden of disease of MS, worldwide. The authors aim to estimate burden of disease and estimate the epidemiologic indexes of MS in Korea using available epidemiologic data.</p></sec><sec><title>METHODS</title><p>Epidemiologic indexes were computed using DISMOD II software based on prevalence from nationwide survey, incidence estimated from extrapolation, mortality from National Statistics Office, and duration of disease from literature as input indexes. We calculated disability-adjusted life year (DALY) as a measure of premature mortality and disability, equivalent to years of healthy life lost due to a given condition.</p></sec><sec><title>RESULTS</title><p>The incidence of MS in Korea was 0.1 per 100,000, higher in female than in male. The highest incidence was estimated in the age group between 35 and 44 years in male and age group between 25 and 29 years in female. Total burden of disease of MS was 1,394 DALY, comprised of 292 (21%) years of life lost and 1,101 (79%) years lived with disability. The mean age at onset of MS was 33 years old in men and 32 years old in female. Estimated duration of disease was 35 years in men and 40 years in female. Most of the DALY of MS occurred in the adult population between 25 and 54 years of age.</p></sec><sec><title>CONCLUSION</title><p>Although MS is a rare disease in Korea, most of the DALY arises from young people, which results in a major financial burden on the patient, family, health system and society.</p></sec>
Summary

Citations

Citations to this article as recorded by  
  • Incidencia y prevalencia de la esclerosis múltiple en China y países asiáticos
    G.X. Zhang, A. Carrillo-Vico, W.T. Zhang, S.S. Gao, G. Izquierdo Ayuso
    Neurología.2023; 38(3): 159.     CrossRef
  • Incidence and prevalence of multiple sclerosis in China and other Asian countries
    G.X. Zhang, A. Carrillo-Vico, W.T. Zhang, S.S. Gao, G. Izquierdo Ayuso
    Neurología (English Edition).2023; 38(3): 159.     CrossRef
  • Hypophosphatemic Rickets in Colombia: A Prevalence-Estimation Model in Rare Diseases. 2018
    Jancy Andrea Huertas-Quintero, Natalia Losada-Trujillo, Diego Alberto Cuellar-Ortiz, Harvy Mauricio Velasco-Parra
    The Lancet Regional Health - Americas.2022; 7: 100131.     CrossRef
  • A multicenter study to evaluate the disease burden and health economics of inpatients with multiple sclerosis in China
    Tan Guojun, Xu Yan, Wang Weizhi, Wang Lihua, Li Chunyang, Zhang Xinghu, Zhou Hongyu, Dong Huiqing, Zhang Meini, Jin Tao, Yang Huan, Cui Liying, Guo Li
    Multiple Sclerosis and Related Disorders.2022; 60: 103732.     CrossRef
  • The analysis of dynamic gene expression patterns in peripheral blood of multiple sclerosis patients indicates possible diagnostic and prognostic biomarkers
    Rabat Razia, Fazeel Majeed, Rehab Amin, Shahid Mukhtar, Khalid Mehmood, Deeba Noreen Baig
    Molecular Immunology.2022; 147: 147.     CrossRef
  • Identification of blood-derived candidate gene markers and a new 7-gene diagnostic model for multiple sclerosis
    Xin Chen, Huiqing Hou, Huimin Qiao, Haolong Fan, Tianyi Zhao, Mei Dong
    Biological Research.2021;[Epub]     CrossRef
  • Epidemiology, treatment patterns and healthcare utilizations in multiple sclerosis in Taiwan
    Chia-Yun Hsu, Long-Sun Ro, Li-Ju Chen, Chun-Wei Chang, Kuo-Hsuan Chang, I-Hsuan Wu, Amy Lin, Fei-Yuan Hsiao
    Scientific Reports.2021;[Epub]     CrossRef
  • Burden of multiple sclerosis in Iran from 1990 to 2017
    Nima Fattahi, Sahar Saeedi Moghaddam, Farnam Mohebi, Negar Rezaei, Masoud Masinaei, Sahar Mohammadi Fateh, Elham Soleymani Hassanlouei, Farhad Manoochehri, Eghbal Fattahi, Mohammad Ali Sahraian, Maziar Moradi-lakeh, Ali H. Mokdad, Mohsen Naghavi, Farshad
    BMC Neurology.2021;[Epub]     CrossRef
  • Optic neuritis in German children: clinical findings and association with multiple sclerosis
    Felix Tonagel, Helmut Wilhelm, Carina Kelbsch
    Graefe's Archive for Clinical and Experimental Ophthalmology.2020; 258(7): 1523.     CrossRef
  • Evidence of an increased prevalence of multiple sclerosis: a population-based study of Tehran registry during 1999–2018
    Amir Almasi-Hashiani, Mohammad Ali Sahraian, Sharareh Eskandarieh
    BMC Neurology.2020;[Epub]     CrossRef
  • Epstein-Barr virus infection as a predisposing factor for multiple sclerosis. An update from molecular biology, immunology and epidemiology
    David López-Valencia, Ángela Medina-Ortega, Diego Fernando Hoyos-Samboní, Jhan Sebastián Saavedra-Torres, Carolina Salguero
    Revista de la Facultad de Medicina.2019; 67(3): 305.     CrossRef
  • Osteopontin (OPN) as a CSF and blood biomarker for multiple sclerosis: A systematic review and meta-analysis
    Elmira Agah, Arshia Zardoui, Amene Saghazadeh, Mona Ahmadi, Abbas Tafakhori, Nima Rezaei, Heinz Wiendl
    PLOS ONE.2018; 13(1): e0190252.     CrossRef
  • Using inpatient data to estimate the prevalence of Wegener's granulomatosis in China
    Xiao Liu, Yazhou Cui, Yan Li, Chao Wang, Heng Zhao, Jinxiang Han
    Intractable & Rare Diseases Research.2016; 5(1): 31.     CrossRef
  • Estimating epidemiological data of Multiple sclerosis using hospitalized data in Shandong Province, China
    Xiao Liu, Yazhou Cui, Jinxiang Han
    Orphanet Journal of Rare Diseases.2016;[Epub]     CrossRef
  • Epidemiology of Multiple Sclerosis
    Jonathan Howard, Stephen Trevick, David S. Younger
    Neurologic Clinics.2016; 34(4): 919.     CrossRef
  • Quantifying Burden of Disease to Measure Population Health in Korea
    Jihyun Yoon, Seok-Jun Yoon
    Journal of Korean Medical Science.2016; 31(Suppl 2): S101.     CrossRef
  • Modeling the Burden of Abdominal Aortic Aneurysm in the USA in 2013
    Mark Stuntz
    Cardiology.2016; 135(2): 127.     CrossRef
  • Optic Neuritis in Korean Children: Low Risk of Subsequent Multiple Sclerosis
    Young Mi Kim, Hye Young Kim, Min Jeong Cho, Min Jung Kwak, Kyung Hee Park, Gyu Min Yeon, Yunjin Lee, Sang Ook Nam
    Pediatric Neurology.2015; 53(3): 221.     CrossRef
  • No association between CCL2 gene polymorphisms and risk of inflammatory demyelinating diseases in a Korean population
    S. Namgoong, J. S. Bae, H. S. Cheong, J.‐H. Kim, J. Y. Kim, L. H. Kim, H. J. Kim, H. D. Shin
    Tissue Antigens.2014; 84(2): 223.     CrossRef
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