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J-CKD-DB: a nationwide multicentre electronic health record-based chronic kidney disease database in Japan.

Authors :
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
Source :
Scientific Reports. 4/30/2020, Vol. 10 Issue 1, p1-11. 11p.
Publication Year :
2020

Abstract

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 m2 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 m2) 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Volume :
10
Issue :
1
Database :
Academic Search Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
142999745
Full Text :
https://doi.org/10.1038/s41598-020-64123-z