Abstract: SA-PO857
Development and Initial Analysis of a Nationwide Multicenter Electronic Health Record Database of CKD in Japan (J-CKD-DB)
Session Information
- CKD: Socioeconomic Context and Mobile Apps
November 09, 2019 | Location: Exhibit Hall, Walter E. Washington Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: CKD (Non-Dialysis)
- 2101 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention
Authors
- Nakagawa, Naoki, Asahikawa Medical University, Asahikawa, Japan
- Sofue, Tadashi, Kagawa University, Kita-gun, KAGAWA , Japan
- Kanda, Eiichiro, Kawasaki Medical School, Kurashiki, OKAYAMA, Japan
- Nagasu, Hajime, Kawasaki Medical School, Kurashiki, OKAYAMA, Japan
- Okada, Hirokazu, Saitama Medical University, Saitama, Japan
- Kashihara, Naoki, Kawasaki Medical School, Kurashiki, OKAYAMA, Japan
Group or Team Name
- Steering committee of Japan CKD database, Japan
Background
Chronic kidney disease (CKD) is not only a precursor of end stage renal disease but also a strong risk factor for various adverse outcomes like cardiovascular disease and dementia. To collect clinical data from CKD patients in Japan, the Japanese Society of Nephrology in collaboration with the Japan Association for Medical Informatics has embarked on the Japan Chronic Kidney Disease Database (J-CKD-DB) project.
Methods
J-CKD-DB is a large-scale, nation-wide registry based on electronic health record (EHR) data from university hospitals in Japan. Using a standardized exchangeable information storage (the Standardized Structured Medical Information eXchange 2), J-CKD-DB succeeded to efficiently compile 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 (eGFR) <60 mL/min/1.73 m2 based on both out- and inpatient laboratory data.
Results
As an initial analysis, we analyzed 40,409 CKD outpatients from 7 university hospitals and observed that majority of them were older than 65 years old, with the most prevalent age category 70-79 years in both sexes. Median age was 71 years (IQI 62–79), 54.8% were men, median eGFR was 50.2 mL/min/1.73 m2 (42.6–57.5). The number of patients with a CKD stage G1, G2, G3a, G3b, G4 and G5 were 929 (2.3%), 3,972 (9.8%), 23,333 (57.7%), 8,357 (20.7%), 2,710 (6.7%) and 1,108 (2.7%), respectively. Although proteinuria data were available in 19,725 cases (48.8%) of all patients, the number of patients with a CKD stage A1 [dipstick proteinuria (-)], A2 [dipstick proteinuria (±)], and A3 [dipstick proteinuria ≥1+] were 10,360 (52.5%), 3,049 (15.5%) and 6,316 (32.0%), respectively. Younger CKD patients in J-CKD-DB tended to be at more advanced stages than older patients.
Conclusion
In the present study, we have constructed the J-CKD-DB which is a comprehensive nationwide CKD database. This registry will be a platform for a number of analyses, for example, mortality and morbidity risk, by clinical diagnoses, lab data, or medication data and may be able to fill important knowledge gaps surrounding CKD care.
Funding
- Government Support - Non-U.S.