Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
J Am Soc Nephrol. 2021 Feb;32(2):448-458. doi: 10.1681/ASN.2020040517. Epub 2020 Dec 17.
Fine particulate matter (PM) is an important environmental risk factor for cardiopulmonary diseases. However, the association between PM and risk of CKD remains under-recognized, especially in regions with high levels of PM, such as China.
To explore the association between long-term exposure to ambient PM and CKD prevalence in China, we used data from the China National Survey of CKD, which included a representative sample of 47,204 adults. We estimated annual exposure to PM before the survey date at each participant's address, using a validated, satellite-based, spatiotemporal model with a 10 km×10 km resolution. Participants with eGFR <60 ml/min per 1.73 m or albuminuria were defined as having CKD. We used a logistic regression model to estimate the association and analyzed the influence of potential modifiers.
The 2-year mean PM concentration was 57.4 g/m, with a range from 31.3 to 87.5 g/m. An increase of 10 g/m in PM was positively associated with CKD prevalence (odds ratio [OR], 1.28; 95% confidence interval [CI], 1.22 to 1.35) and albuminuria (OR, 1.39; 95% CI, 1.32 to 1.47). Effect modification indicated these associations were significantly stronger in urban areas compared with rural areas, in males compared with females, in participants aged <65 years compared with participants aged ≥65 years, and in participants without comorbid diseases compared with those with comorbidities.
These findings regarding the relationship between long-term exposure to high ambient PM levels and CKD in the general Chinese population provide important evidence for policy makers and public health practices to reduce the CKD risk posed by this pollutant.
细颗粒物(PM)是心肺疾病的一个重要环境风险因素。然而,PM 与慢性肾脏病(CKD)风险之间的关系仍未得到充分认识,尤其是在中国等 PM 水平较高的地区。
为了探讨中国人群长期暴露于环境 PM 与 CKD 患病率之间的关系,我们利用了中国慢性肾脏病调查的数据,该调查包括了一个具有代表性的 47204 名成年人样本。我们使用了一种经过验证的、基于卫星的、时空分辨率为 10km×10km 的模型,来估算每个参与者住址处的 PM 暴露量。根据 eGFR<60ml/min/1.73m2 或白蛋白尿,将参与者定义为患有 CKD。我们使用逻辑回归模型来估计相关性,并分析了潜在修饰因子的影响。
2 年的平均 PM 浓度为 57.4μg/m3,范围为 31.3-87.5μg/m3。PM 增加 10μg/m3 与 CKD 患病率(比值比 [OR],1.28;95%置信区间 [CI],1.22-1.35)和白蛋白尿(OR,1.39;95%CI,1.32-1.47)呈正相关。效应修饰表明,这些关联在城市地区与农村地区、男性与女性、年龄<65 岁的参与者与年龄≥65 岁的参与者、无合并症的参与者与合并症的参与者之间存在显著差异。
这些关于一般中国人群长期暴露于高环境 PM 水平与 CKD 之间关系的发现,为决策者和公共卫生实践提供了重要证据,以降低这种污染物对 CKD 风险的影响。