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Journal of Korean medical science. 2025 Jun 9;40(22):e113. doi: 10.3346/jkms.2025.40.e113 Q23.02024

Population-Based Big Data Analysis on Disease Patterns in Patients Identified With Juvenile Idiopathic Arthritis Using National Claims Data

基于人口的大型数据分析国家理赔数据中诊断为幼年特发性关节炎患者的疾病特征 翻译改进

Eun Jeong Min  1, Soo Hyun Lee  2, Joo-Young Jo  2, Jong Gyun Ahn  3  4, Dae Chul Jeong  5

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作者单位

  • 1 Department of Medical Life Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • 2 Division of Medical, Pfizer Biopharmaceuticals Group, Pfizer Pharmaceuticals Korea Limited, Seoul, Korea.
  • 3 Department of Pediatrics, Severance Children's Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • 4 Institute for Immunology and Immunological Diseases, Yonsei University College of Medicine, Seoul, Korea. jgahn@yuhs.ac.
  • 5 Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Korea. dcjeong@catholic.ac.kr.
  • DOI: 10.3346/jkms.2025.40.e113 PMID: 40491085

    摘要 中英对照阅读

    Background: This study aimed to identify epidemiologic data, including prevalence and incidence, of patients with juvenile idiopathic arthritis (JIA) in accordance with the diseases diagnostic code and Rare Intractable Disease Registration (RIDR) code from the claims data of the Health Insurance Review and Assessment Service (HIRA), the representative secondary data in Korea.

    Methods: We conducted a retrospective analysis of the national claims data of the HIRA. The study population included 1,728 patients with JIA who 1) had records with diagnostic codes in the format prescribed by the International Classification of Diseases, 10th Revision M08 and the RIDR code V133 between January 1, 2010, and December 31, 2019, and 2) were aged < 16 years as per the definition of JIA. We categorized the patients by age at diagnosis, annual prevalence, and incidence per 100,000 individuals for the study period. Moreover, the study population was stratified by age and gender for subgroup analysis.

    Results: The overall prevalence rate for the total, male, and female population was 15.9 (14.5-16.8), 15.4 (13.1-17.0), and 16.4 (15.9-16.9) per 100,000 individuals, respectively. Additionally, the overall incidence rate for the same populations was 2.2 (1.8-2.8), 2.3 (1.7-2.9), and 2.1 (1.8-2.6) per 100,000 individuals, respectively.

    Conclusion: To the best of our knowledge, this is the first study presenting the epidemiologic data, including prevalence and incidence, of patients with JIA using population-based claims big data in Korea. The results of this study will aid in understanding the current status of JIA in Korea and Asia and in health care planning.

    Keywords: Incidence; Juvenile Idiopathic Arthritis; National Claims Data; Prevalence.

    Keywords:population based big data; disease patterns; juvenile idiopathic arthritis; national claims data

    背景: 本研究旨在根据疾病诊断代码和罕见难治性疾病登记(RIDR)代码,从韩国健康保险审查评估服务(HIRA)的理赔数据中识别青少年特发性关节炎(JIA)患者的流行病学数据,包括患病率和发病率。

    方法: 我们对HIRA的全国理赔数据进行了回顾性分析。研究人群包括1,728名符合以下条件的JIA患者:1) 在2010年1月1日至2019年12月31日期间,他们的记录中包含根据国际疾病分类第十版(ICD-10)M08和RIDR代码V133规定的诊断代码;2) 根据JIA的定义年龄小于16岁。我们按照诊断时的年龄、年度患病率以及每10万个体中的发病率对患者进行了分类。此外,研究人群按年龄和性别进行分层以进行亚组分析。

    结果: 总体患病率为:总人口为15.9(14.5-16.8),男性为15.4(13.1-17.0),女性为16.4(15.9-16.9)每10万人。此外,同一人群的总体发病率为:总人口为2.2(1.8-2.8),男性为2.3(1.7-2.9),女性为2.1(1.8-2.6)每10万人。

    结论: 据我们所知,这是首次使用韩国基于人口的大型理赔数据来呈现JIA患者的流行病学数据(包括患病率和发病率)的研究。本研究的结果将有助于理解目前在韩国和亚洲的JIA状况,并为卫生保健规划提供帮助。

    关键词: 发病率;青少年特发性关节炎;全国理赔数据;患病率。

    关键词:基于人口的大数据; 疾病模式; 幼年特发性关节炎; 国家索赔数据

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    期刊名:Journal of korean medical science

    缩写:J KOREAN MED SCI

    ISSN:1011-8934

    e-ISSN:1598-6357

    IF/分区:3.0/Q2

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    Population-Based Big Data Analysis on Disease Patterns in Patients Identified With Juvenile Idiopathic Arthritis Using National Claims Data