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
Abstract
AbstractThe 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.
Publisher
Springer Science and Business Media LLC
Cited by
45 articles.
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