TY - JOUR
T1 - J-CKD-DB
T2 - a nationwide multicentre electronic health record-based chronic kidney disease database in Japan
AU - Nakagawa, Naoki
AU - Sofue, Tadashi
AU - Kanda, Eiichiro
AU - Nagasu, Hajime
AU - Matsushita, Kunihiro
AU - Nangaku, Masaomi
AU - Maruyama, Shoichi
AU - Wada, Takashi
AU - Terada, Yoshio
AU - Yamagata, Kunihiro
AU - Narita, Ichiei
AU - Yanagita, Motoko
AU - Sugiyama, Hitoshi
AU - Shigematsu, Takashi
AU - Ito, Takafumi
AU - Tamura, Kouichi
AU - Isaka, Yoshitaka
AU - Okada, Hirokazu
AU - Tsuruya, Kazuhiko
AU - Yokoyama, Hitoshi
AU - Nakashima, Naoki
AU - Kataoka, Hiromi
AU - Ohe, Kazuhiko
AU - Okada, Mihoko
AU - Kashihara, Naoki
N1 - Funding Information:
This work was supported in part by a grant for Development of Comprehensive Database of Chronic Kidney Disease, Research on Policy Planning and Evaluation from the Ministry of Health, Labour and Welfare of Japan (H28-ICT-ippan-002) and was partially conducted by means of the Multi-purpose Clinical Data Repository System (MCDRS, http://mcdrs.jp). In addition to the authors, the following investigators and institutions participated in this study: Asahikawa Medical University Hospital, Yuji Tani and Hiroyuki Hirokawa; Kagawa University Hospital, Hideto Yokoi; University of Tokyo Graduate School of Medicine, Tetsuhiro Tanaka and Yosuke Hirakawa; Nagoya University Hospital, Yoshimune Shiratori; Kanazawa University Hospital, Shinsuke Yamaoka and Keisuke Nagase; Kochi University Hospital, Yutaka Hatakeyama and Yoshiyasu Okuhara; University of Tsukuba Hospital, Rina Kagawa and Makoto Ohara; Niigata University Hospital, Kohei Akazawa; Kyoto University Hospital, Shusuke Hiragi and Tomohiro Kuroda; Okayama University Hospital, Hiroshi Morinaga, Hideo Gobara; Wakayama Medical University Hospital, Masayuki Irie and Toru Mima; Shimane University Hospital, Shusaku Tsumoto; Yokohama City University Hospital, Akinobu Nemoto; Osaka University Hospital, Yasushi Matsumura; Kyushu University, Hisako Yoshida. We would like to thank Editage (www.editage.com) for English language editing.
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12/1
Y1 - 2020/12/1
N2 - 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.
AB - 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.
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U2 - 10.1038/s41598-020-64123-z
DO - 10.1038/s41598-020-64123-z
M3 - Article
C2 - 32355258
AN - SCOPUS:85084088012
SN - 2045-2322
VL - 10
JO - Scientific reports
JF - Scientific reports
IS - 1
M1 - 7351
ER -