Introduction & Objective: We aimed to identify different patterns of estimated glomerular filtration rate (eGFR) trajectories depending on diabetes status using long-term prospective cohort and to find the association and variability between risk factors, and patterns of eGFR trajectories.
Methods: At baseline, 2,084 participants were recruited from the Korean Genome and Epidemiology Study, followed up for 10 years. We divided participants into two groups based on their diabetes status. We used clustering trajectory analysis to identify different eGFR trajectory patterns and used logistic regression to identify association between trajectories and variability of chronic kidney disease (CKD) risk factors.
Results: We identified four distinct patterns of eGFR trajectories. About 4% of participants were belonged to rapid eGFR decline cluster, with more rapid decline rate compared to nondiabetes group. In diabetes group, systolic blood pressure (sBP) was associated with rapid eGFR decline at cross-sectional and longitudinal analysis (OR 2.58 [95% CI 1.07-6.23], p=0.035 and 3.34 [95% CI 1.03-6.02], p=0.043).
Conclusion: There was a difference in rate of kidney function decline according to diabetes status. Among CKD risk factors, sBP was important risk factor for rapid eGFR decline aspect baseline and variability in diabetes.
S. Ryang: None. J. Kim: None. M. Im: None. D. Kim: None. S. Yoon: None. J. Kim: None. S. Kim: None.
Korean Diabetes Association and National Research Foundation of Korea (2019F-8)
