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Abstract: SA-PO450

Long-Term Exposure to Ambient Air Pollutants and Increased Risk of ESRD in Patients with Type 2 Diabetes Mellitus and CKD

Session Information

Category: Diabetic Kidney Disease

  • 702 Diabetic Kidney Disease: Clinical


  • Shang, Zhi, Peking University Third Hospital, Beijing, China
  • Gao, Yueming, Peking University Third Hospital, Beijing, China
  • Deng, Zhenling, Peking University Third Hospital, Beijing, China
  • Wang, Yue, Peking University Third Hospital, Beijing, China

Limited data have examined the association between air pollution and the risk of end-stage renal disease (ESRD) in patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD).


Data on air pollutants were obtained from the Beijing Municipal Ecological and Environmental Monitoring Center. Long-term exposure to air pollutants during the follow-up period was measured using the ordinary Kriging method. The outcome was defined as the occurrence of ESRD. Multivariate logistic regression analysis was used to estimate the association between air pollution and the risk of ESRD.


1,738 patients with T2DM and CKD hospitalized in Peking University Third Hospital from January 1, 2013, to December 31, 2021 were enrolled in this study. During a mean follow-up of 41 months, 98 patients developed ESRD. After adjusting for confounders, an increase of 10 μg/m3 in PM2.5 (odds ratio [OR] 1.19, 95% confidence interval [CI] 1.03–1.36) and PM10 (OR 1.15, 95% CI 1.02–1.30) concentration were positively associated with ESRD. An increase of 1 mg/m3 in CO (2.80, 1.05–7.48) and an increase of 1 μg/m3 in SO2 (1.06, 1.00–1.13) concentration were also positively associated with ESRD. Apart from NO2, all the above air pollutants have additional predictive value for ESRD in patients with T2DM and CKD, with PM2.5 performing best.


In patients with T2DM and CKD, long-term exposure to PM2.5, PM10, CO, and SO2 was positively associated with the risk of ESRD.

Figure 1. Association between air pollutants and ESRD

Figure 2. Subgroup analysis of follow-up time and prognostic efficacy of air pollutants


  • Government Support – Non-U.S.