Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts.

IF 4.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of the American Medical Informatics Association Pub Date : 2024-06-20 DOI:10.1093/jamia/ocae094
Yukinobu Kawakami, Takuya Matsuda, Noriaki Hidaka, Mamoru Tanaka, Eizen Kimura
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引用次数: 0

Abstract

Objectives: Linking information on Japanese pharmaceutical products to global knowledge bases (KBs) would enhance international collaborative research and yield valuable insights. However, public access to mappings of Japanese pharmaceutical products that use international controlled vocabularies remains limited. This study mapped YJ codes to RxNorm ingredient classes, providing new insights by comparing Japanese and international drug-drug interaction (DDI) information using a case study methodology.

Materials and methods: Tables linking YJ codes to RxNorm concepts were created using the application programming interfaces of the Kyoto Encyclopedia of Genes and Genomes and the National Library of Medicine. A comparative analysis of Japanese and international DDI information was thus performed by linking to an international DDI KB.

Results: There was limited agreement between the Japanese and international DDI severity classifications. Cross-tabulation of Japanese and international DDIs by severity showed that 213 combinations classified as serious DDIs by an international KB were missing from the Japanese DDI information.

Discussion: It is desirable that efforts be undertaken to standardize international criteria for DDIs to ensure consistency in the classification of their severity.

Conclusion: The classification of DDI severity remains highly variable. It is imperative to augment the repository of critical DDI information, which would revalidate the utility of fostering collaborations with global KBs.

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实现对药物间相互作用的统一理解:将日本药物编码映射到 RxNorm 概念。
目的:将日本医药产品的信息与全球知识库(KBs)链接起来,将促进国际合作研究并产生有价值的见解。然而,公众对使用国际控制词汇表的日本医药产品映射的访问仍然有限。本研究将 YJ 代码映射到 RxNorm 成分类别,通过使用案例研究方法比较日本和国际药物相互作用(DDI)信息,提供新的见解:使用《京都基因与基因组百科全书》和美国国家医学图书馆的应用程序接口创建了将 YJ 代码与 RxNorm 概念相联系的表格。通过与国际 DDI KB 的链接,对日本和国际 DDI 信息进行了比较分析:结果:日本和国际 DDI 严重程度分类之间的一致性有限。按严重程度对日本和国际 DDI 进行交叉分析表明,日本 DDI 信息中缺少被国际知识库归类为严重 DDI 的 213 种组合:讨论:应该努力统一国际 DDI 标准,以确保 DDI 严重程度分类的一致性:结论:DDI 严重程度的分类仍然存在很大差异。当务之急是扩充重要的 DDI 信息库,这将重新验证与全球知识库合作的效用。
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来源期刊
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association 医学-计算机:跨学科应用
CiteScore
14.50
自引率
7.80%
发文量
230
审稿时长
3-8 weeks
期刊介绍: JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.
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