Chronic kidney disease risk assessment: Findings from backward‐looking study using annual health check‐up data in Japan
Authors' conclusion
This study highlights the necessity of a comprehensive evaluation of MetS factors in CKD risk assessment and shows the model using annual HC data can identify CKD progression effectively and accurately. A risk assessment approach considering multiple CKD stages will be crucial for early intervention and disease prevention strategies.
Study context
- Population
- Japanese individuals with annual health check-up data in the Kokuho Database, focusing on early metabolic syndrome stages
- Outcome
- Time from initial health check-up until estimated glomerular filtration rate (eGFR) fell below 60 mL/min/1.73 m² (CKD) and 15 mL/min/1.73 m² (ESKD)
Methodological detailsbackward-looking, Cox regression analysis, Kokuho Database (health check-up and claims data, past 10 years)
- Backward-looking
- Cox regression analysis
- Kokuho Database (health check-up and claims data, past 10 years)
Main finding
As reported in the abstract
HRs of metabolic syndrome (MetS) factors for eGFR decline below CKD and ESKD cut-offs
- Significant increases in hazard ratios (HRs) for body mass index (BMI), haemoglobin A1c (HbA1c), triglycerides (TG) and systolic blood pressure (SBP) for primary and additional cut-offs
- BMI, HbA1c and TG showed progressively stronger HR increases with advancing stages
Observational data: associations, not effects.
Further findings
Model performance across all scenarios (chronic kindney disease (CKD), ESKD, CKD Stage 3b, CKD Stage 4)
- Goodness of fit with high C-statistics for all scenarios
Original publication
Chronic kidney disease risk assessment: Findings from backward‐looking study using annual health check‐up data in Japan. Diabetes Obes Metab. Published 14 April 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →