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

• Published in: Scientific reports Vol. 10; no. 1; p. 7351
• Main 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, Nakashima, Naoki, Kataoka, Hiromi, Ohe, Kazuhiko, Okada, Mihoko, Kashihara, Naoki
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 30.04.2020; Nature Publishing Group
• Subjects: 692/308/174; 692/4022/1585/104; Adolescent; Adult; Aged; Aged, 80 and over; Asian Continental Ancestry Group - statistics & numerical data; Electronic Health Records - statistics & numerical data; Electronic medical records; Epidermal growth factor receptors; Female; Glomerular filtration rate; Glomerular Filtration Rate - physiology; Hospitals; Humanities and Social Sciences; Humans; Information storage; Kidney diseases; Kidneys; Male; Middle Aged; Multicenter Studies as Topic; multidisciplinary; Patients; Proteinuria; Renal Insufficiency, Chronic - epidemiology; Science; Science (multidisciplinary); Young Adult; Japan
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-020-64123-z

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.