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J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan
The Japan Chronic Kidney Disease (CKD) Database (J-CKD-DB) is a large-scale, nation-wide registry based on electronic health record (EHR) data from participating university hospitals. Using a standardized exchangeable information storage, the J-CKD-DB succeeded to efficiently collect clinical data o...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192920/ https://www.ncbi.nlm.nih.gov/pubmed/32355258 http://dx.doi.org/10.1038/s41598-020-64123-z |
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author | Nakagawa, Naoki Sofue, Tadashi Kanda, Eiichiro Nagasu, Hajime Matsushita, Kunihiro Nangaku, Masaomi Maruyama, Shoichi Wada, Takashi Terada, Yoshio Yamagata, Kunihiro Narita, Ichiei Yanagita, Motoko Sugiyama, Hitoshi Shigematsu, Takashi Ito, Takafumi Tamura, Kouichi Isaka, Yoshitaka Okada, Hirokazu Tsuruya, Kazuhiko Yokoyama, Hitoshi Nakashima, Naoki Kataoka, Hiromi Ohe, Kazuhiko Okada, Mihoko Kashihara, Naoki |
author_facet | Nakagawa, Naoki Sofue, Tadashi Kanda, Eiichiro Nagasu, Hajime Matsushita, Kunihiro Nangaku, Masaomi Maruyama, Shoichi Wada, Takashi Terada, Yoshio Yamagata, Kunihiro Narita, Ichiei Yanagita, Motoko Sugiyama, Hitoshi Shigematsu, Takashi Ito, Takafumi Tamura, Kouichi Isaka, Yoshitaka Okada, Hirokazu Tsuruya, Kazuhiko Yokoyama, Hitoshi Nakashima, Naoki Kataoka, Hiromi Ohe, Kazuhiko Okada, Mihoko Kashihara, Naoki |
author_sort | Nakagawa, Naoki |
collection | PubMed |
description | The Japan Chronic Kidney Disease (CKD) Database (J-CKD-DB) is a large-scale, nation-wide registry based on electronic health record (EHR) data from participating university hospitals. Using a standardized exchangeable information storage, the J-CKD-DB succeeded to efficiently collect clinical data of CKD patients across hospitals despite their different EHR systems. CKD was defined as dipstick proteinuria ≥1+ and/or estimated glomerular filtration rate <60 mL/min/1.73 m(2) base on both out- and inpatient laboratory data. As an initial analysis, we analyzed 39,121 CKD outpatients (median age was 71 years, 54.7% were men, median eGFR was 51.3 mL/min/1.73 m(2)) and observed that the number of patients with a CKD stage G1, G2, G3a, G3b, G4 and G5 were 1,001 (2.6%), 2,612 (6.7%), 23,333 (59.6%), 8,357 (21.4%), 2,710 (6.9%) and 1,108 (2.8%), respectively. According to the KDIGO risk classification, there were 30.1% and 25.5% of male and female patients with CKD at very high-risk, respectively. As the information from every clinical encounter from those participating hospitals will be continuously updated with an anonymized patient ID, the J-CKD-DB will be a dynamic registry of Japanese CKD patients by expanding and linking with other existing databases and a platform for a number of cross-sectional and prospective analyses to answer important clinical questions in CKD care. |
format | Online Article Text |
id | pubmed-7192920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71929202020-05-05 J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan Nakagawa, Naoki Sofue, Tadashi Kanda, Eiichiro Nagasu, Hajime Matsushita, Kunihiro Nangaku, Masaomi Maruyama, Shoichi Wada, Takashi Terada, Yoshio Yamagata, Kunihiro Narita, Ichiei Yanagita, Motoko Sugiyama, Hitoshi Shigematsu, Takashi Ito, Takafumi Tamura, Kouichi Isaka, Yoshitaka Okada, Hirokazu Tsuruya, Kazuhiko Yokoyama, Hitoshi Nakashima, Naoki Kataoka, Hiromi Ohe, Kazuhiko Okada, Mihoko Kashihara, Naoki Sci Rep Article The Japan Chronic Kidney Disease (CKD) Database (J-CKD-DB) is a large-scale, nation-wide registry based on electronic health record (EHR) data from participating university hospitals. Using a standardized exchangeable information storage, the J-CKD-DB succeeded to efficiently collect clinical data of CKD patients across hospitals despite their different EHR systems. CKD was defined as dipstick proteinuria ≥1+ and/or estimated glomerular filtration rate <60 mL/min/1.73 m(2) base on both out- and inpatient laboratory data. As an initial analysis, we analyzed 39,121 CKD outpatients (median age was 71 years, 54.7% were men, median eGFR was 51.3 mL/min/1.73 m(2)) and observed that the number of patients with a CKD stage G1, G2, G3a, G3b, G4 and G5 were 1,001 (2.6%), 2,612 (6.7%), 23,333 (59.6%), 8,357 (21.4%), 2,710 (6.9%) and 1,108 (2.8%), respectively. According to the KDIGO risk classification, there were 30.1% and 25.5% of male and female patients with CKD at very high-risk, respectively. As the information from every clinical encounter from those participating hospitals will be continuously updated with an anonymized patient ID, the J-CKD-DB will be a dynamic registry of Japanese CKD patients by expanding and linking with other existing databases and a platform for a number of cross-sectional and prospective analyses to answer important clinical questions in CKD care. Nature Publishing Group UK 2020-04-30 /pmc/articles/PMC7192920/ /pubmed/32355258 http://dx.doi.org/10.1038/s41598-020-64123-z Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Nakagawa, Naoki Sofue, Tadashi Kanda, Eiichiro Nagasu, Hajime Matsushita, Kunihiro Nangaku, Masaomi Maruyama, Shoichi Wada, Takashi Terada, Yoshio Yamagata, Kunihiro Narita, Ichiei Yanagita, Motoko Sugiyama, Hitoshi Shigematsu, Takashi Ito, Takafumi Tamura, Kouichi Isaka, Yoshitaka Okada, Hirokazu Tsuruya, Kazuhiko Yokoyama, Hitoshi Nakashima, Naoki Kataoka, Hiromi Ohe, Kazuhiko Okada, Mihoko Kashihara, Naoki J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan |
title | J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan |
title_full | J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan |
title_fullStr | J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan |
title_full_unstemmed | J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan |
title_short | J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan |
title_sort | j-ckd-db: a nationwide multicentre electronic health record-based chronic kidney disease database in japan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192920/ https://www.ncbi.nlm.nih.gov/pubmed/32355258 http://dx.doi.org/10.1038/s41598-020-64123-z |
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