Journal of Diabetes (Sep 2024)

Kidney function trajectories, associated factors, and outcomes in multiethnic Asian patients with type 2 diabetes

  • Liang Feng,
  • Yong Mong Bee,
  • Xiuju Fu,
  • Jia Liang Kwek,
  • Choong Meng Chan,
  • Tazeen H. Jafar

DOI
https://doi.org/10.1111/1753-0407.13523
Journal volume & issue
Vol. 16, no. 9
pp. n/a – n/a

Abstract

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Abstract Background We examined the trajectory of estimated glomerular filtrate rate (eGFR), associated risk factors, and its relationship with end‐stage kidney disease (ESKD) among a multiethnic patient population with type 2 diabetes in Singapore. Methods A follow‐up study included 62 080 individuals with type 2 diabetes aged ≥18 years in a multi‐institutional SingHealth Diabetes Registry between 2013 and 2019. eGFR trajectories were analyzed using latent class linear mixed models. Factors associated with eGFR trajectories were evaluated using multinomial logistic regression. The association of eGFR trajectories with ESKD was assessed via competing risk models. Results Trajectory of kidney function, determined by eGFR, was nonlinear. The trajectory pattern was classified as stable initially then gradual decline (75%), progressive decline (21.9%), and rapid decline (3.1%). Younger age, female sex, Malay ethnicity, lower‐income housing type, current smoking, higher glycated hemoglobin, lower low‐density lipoprotein, higher triglyceride, uncontrolled blood pressure, albuminuria, cardiovascular disease, hypertension, and higher eGFR levels each were associated with progressive or rapid decline. Compared with the trajectory of stable initially then gradual eGFR decline, progressive decline increased the hazard of ESKD by 6.14‐fold (95% confidence interval [CI]: 4.96–7.61)) and rapid decline by 82.55 folds (95% CI: 55.90–121.89). Conclusions Three nonlinear trajectory classes of kidney function were identified among multiethnic individuals with type 2 diabetes in Singapore. About one in four individuals had a progressive or rapid decline in eGFR. Our results suggest that eGFR trajectories are correlated with multiple social and modifiable risk factors and inform the risk of ESKD.

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