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Nationwide comprehensive epidemiological study of rare diseases in Japan using a health insurance claims database

BACKGROUND: There are more than 7000 rare diseases, most of which have no specific treatment. Disease profiles, such as prevalence and natural history, among the population of a specific country are essential in determining for which disease to research and develop drugs. In Japan, disease profiles...

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Autores principales: Ninomiya, Kota, Okura, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961906/
https://www.ncbi.nlm.nih.gov/pubmed/35346288
http://dx.doi.org/10.1186/s13023-022-02290-0
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author Ninomiya, Kota
Okura, Masahiro
author_facet Ninomiya, Kota
Okura, Masahiro
author_sort Ninomiya, Kota
collection PubMed
description BACKGROUND: There are more than 7000 rare diseases, most of which have no specific treatment. Disease profiles, such as prevalence and natural history, among the population of a specific country are essential in determining for which disease to research and develop drugs. In Japan, disease profiles of fewer than 2000 rare diseases, called Nanbyo, have been investigated. However, non-Nanbyo rare diseases remain largely uninvestigated. Accordingly, we revealed the prevalence and natural history of rare diseases among the Japanese population. This cross-disease study is the first to analyze rare-disease epidemiology in Japan with high accuracy, disease coverage, and granularity. METHOD: We applied for permission to use the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB), which covered 99.9% of public health insurance claims from hospitals and 97.9% from clinics as of May 2015. Then, we obtained 10 years of data on the number of patients of approx. 4500 rare diseases, by sex and age. We translated disease names and established correspondences between rare diseases in NDB and those in Orphanet. Accordingly, we compared the prevalence and natural history between them. RESULTS: About 3000 diseases in NDB are included in Orphanet and other medical databases. The data indicates that even if the Nanbyo systems do not cover a rare disease, its patients survive in many cases. Regarding natural history, genetic diseases tend to be diagnosed later in Japan than in the West. The data shown in this research are available in the Additional file 1 and the website of NanbyoData. CONCLUSIONS: Our research revealed the basic epidemiology and natural history of Japanese patients with some rare diseases using a health insurance claims database. The results imply that the coverage of the present Nanbyo systems is inadequate for rare diseases. Therefore, fundamental reform might be needed to reduce unfairness between rare diseases. Most diseases in Japan follow a tendency of natural history similar to those reported in Orphanet. However, some are detected later, partly because fewer clinical genetic tests are available in Japan than in the West. Finally, we hope that our data and analysis accelerate drug discovery for rare diseases in Japan. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-022-02290-0.
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spelling pubmed-89619062022-03-30 Nationwide comprehensive epidemiological study of rare diseases in Japan using a health insurance claims database Ninomiya, Kota Okura, Masahiro Orphanet J Rare Dis Research BACKGROUND: There are more than 7000 rare diseases, most of which have no specific treatment. Disease profiles, such as prevalence and natural history, among the population of a specific country are essential in determining for which disease to research and develop drugs. In Japan, disease profiles of fewer than 2000 rare diseases, called Nanbyo, have been investigated. However, non-Nanbyo rare diseases remain largely uninvestigated. Accordingly, we revealed the prevalence and natural history of rare diseases among the Japanese population. This cross-disease study is the first to analyze rare-disease epidemiology in Japan with high accuracy, disease coverage, and granularity. METHOD: We applied for permission to use the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB), which covered 99.9% of public health insurance claims from hospitals and 97.9% from clinics as of May 2015. Then, we obtained 10 years of data on the number of patients of approx. 4500 rare diseases, by sex and age. We translated disease names and established correspondences between rare diseases in NDB and those in Orphanet. Accordingly, we compared the prevalence and natural history between them. RESULTS: About 3000 diseases in NDB are included in Orphanet and other medical databases. The data indicates that even if the Nanbyo systems do not cover a rare disease, its patients survive in many cases. Regarding natural history, genetic diseases tend to be diagnosed later in Japan than in the West. The data shown in this research are available in the Additional file 1 and the website of NanbyoData. CONCLUSIONS: Our research revealed the basic epidemiology and natural history of Japanese patients with some rare diseases using a health insurance claims database. The results imply that the coverage of the present Nanbyo systems is inadequate for rare diseases. Therefore, fundamental reform might be needed to reduce unfairness between rare diseases. Most diseases in Japan follow a tendency of natural history similar to those reported in Orphanet. However, some are detected later, partly because fewer clinical genetic tests are available in Japan than in the West. Finally, we hope that our data and analysis accelerate drug discovery for rare diseases in Japan. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-022-02290-0. BioMed Central 2022-03-28 /pmc/articles/PMC8961906/ /pubmed/35346288 http://dx.doi.org/10.1186/s13023-022-02290-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ninomiya, Kota
Okura, Masahiro
Nationwide comprehensive epidemiological study of rare diseases in Japan using a health insurance claims database
title Nationwide comprehensive epidemiological study of rare diseases in Japan using a health insurance claims database
title_full Nationwide comprehensive epidemiological study of rare diseases in Japan using a health insurance claims database
title_fullStr Nationwide comprehensive epidemiological study of rare diseases in Japan using a health insurance claims database
title_full_unstemmed Nationwide comprehensive epidemiological study of rare diseases in Japan using a health insurance claims database
title_short Nationwide comprehensive epidemiological study of rare diseases in Japan using a health insurance claims database
title_sort nationwide comprehensive epidemiological study of rare diseases in japan using a health insurance claims database
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961906/
https://www.ncbi.nlm.nih.gov/pubmed/35346288
http://dx.doi.org/10.1186/s13023-022-02290-0
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