Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, 100191, China.
State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing, China.
Environ Sci Pollut Res Int. 2024 Jan;31(4):5429-5443. doi: 10.1007/s11356-023-31346-2. Epub 2023 Dec 20.
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). We aimed to investigate whether long-term exposure to air pollutants is related to the development of ESRD among patients with T2DM and CKD. A total of 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. The outcome was defined as the occurrence of ESRD. Data on six air pollutants (PM, PM, CO, NO, SO and O) from 35 monitoring stations 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. During a mean follow-up of 41 months, 98 patients developed ESRD. Multivariate logistic regression analysis showed that an increase of 10 μg/m in PM (odds ratio [OR] 1.19, 95% confidence interval [CI] 1.03-1.36) and PM (OR 1.15, 95% CI 1.02-1.30) concentration were positively associated with ESRD. An increase of 1 mg/m in CO (2.80, 1.05-7.48) and an increase of 1 μg/m in SO (1.06, 1.00-1.13) concentration were also positively associated with ESRD. Apart from O and NO, all the above air pollutants have additional predictive value for ESRD in patients with T2DM and CKD. The results of Bayesian kernel machine regression and the weighted quantile sum regression all showed that PM was the most important air pollutant. Backward stepwise logistic regression showed that PM was the only pollutant remaining in the prediction model. In patients with T2DM and CKD, long-term exposure to ambient PM, PM, CO, and SO was positively associated with the development of ESRD.
已有有限的数据研究了空气污染与 2 型糖尿病(T2DM)和慢性肾脏病(CKD)患者终末期肾病(ESRD)风险之间的关系。我们旨在研究长期暴露于空气污染物是否与 T2DM 和 CKD 患者发生 ESRD 有关。本研究共纳入了 2013 年 1 月 1 日至 2021 年 12 月 31 日期间在北京大学第三医院住院的 1738 例 T2DM 和 CKD 患者。研究结局定义为 ESRD 的发生。从北京市生态环境监测中心获取了 35 个监测站的 6 种空气污染物(PM、PM、CO、NO、SO 和 O)的数据。使用普通克里金法测量随访期间的空气污染物长期暴露情况。在平均 41 个月的随访期间,98 例患者发生 ESRD。多变量 logistic 回归分析显示,PM 增加 10μg/m(比值比 [OR] 1.19,95%置信区间 [CI] 1.03-1.36)和 PM 增加 10μg/m(OR 1.15,95% CI 1.02-1.30)与 ESRD 呈正相关。CO 增加 1mg/m(2.80,1.05-7.48)和 SO 增加 1μg/m(1.06,1.00-1.13)与 ESRD 也呈正相关。除 O 和 NO 外,上述所有空气污染物对 T2DM 和 CKD 患者的 ESRD 均具有额外的预测价值。贝叶斯核机器回归和加权分位数和回归的结果均表明 PM 是最重要的空气污染物。向后逐步逻辑回归显示,PM 是预测模型中唯一剩余的污染物。在 T2DM 和 CKD 患者中,长期暴露于环境 PM、PM、CO 和 SO 与 ESRD 的发生呈正相关。