Division of Cardiology, Nephrology, Respiratory and Neurology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan.
Division of Nephrology and Dialysis, Department of Cardiorenal and Cerebrovascular Medicine, Kagawa University, Kagawa, Japan.
Sci Rep. 2020 Apr 30;10(1):7351. 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 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) 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.
日本慢性肾脏病(CKD)数据库(J-CKD-DB)是一个基于参与大学医院电子健康记录(EHR)数据的大型全国性注册系统。使用标准化的可交换信息存储,J-CKD-DB 成功地在不同的 EHR 系统下,高效地收集了 CKD 患者的临床数据。CKD 的定义为尿蛋白试纸法≥1+和/或根据门诊和住院实验室数据估计的肾小球滤过率<60mL/min/1.73m。作为初步分析,我们分析了 39121 例 CKD 门诊患者(中位年龄为 71 岁,54.7%为男性,中位 eGFR 为 51.3mL/min/1.73m),观察到 CKD 1 期、2 期、3a 期、3b 期、4 期和 5 期患者的数量分别为 1001 例(2.6%)、2612 例(6.7%)、23333 例(59.6%)、8357 例(21.4%)、2710 例(6.9%)和 1108 例(2.8%)。根据 KDIGO 风险分类,男性和女性 CKD 极高危患者分别有 30.1%和 25.5%。由于来自参与医院的每一次临床接触的信息将通过匿名患者 ID 不断更新,J-CKD-DB 将通过与其他现有数据库的扩展和链接,成为日本 CKD 患者的动态注册系统,并成为解决 CKD 护理中重要临床问题的一系列横断面和前瞻性分析的平台。