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Long-Term Exposure to Ambient PM2.5 and Increased Risk of CKD Prevalence in China.
Li, Guoxing; Huang, Jing; Wang, Jinwei; Zhao, Minghui; Liu, Yang; Guo, Xinbiao; Wu, Shaowei; Zhang, Luxia.
  • Li G; Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China zhanglx@bjmu.edu.cn shaowei_wu@bjmu.edu.cn.
  • Huang J; Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
  • Wang J; Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
  • Zhao M; Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
  • Liu Y; Institute of Nephrology, Peking University, Beijing, China.
  • Guo X; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Peking University, Ministry of Education of the People's Republic of China, Beijing, China.
  • Wu S; Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China.
  • Zhang L; Institute of Nephrology, Peking University, Beijing, China.
J Am Soc Nephrol ; 32(2): 448-458, 2021 02.
Article in English | MEDLINE | ID: covidwho-1496669
ABSTRACT

BACKGROUND:

Fine particulate matter (PM2.5) is an important environmental risk factor for cardiopulmonary diseases. However, the association between PM2.5 and risk of CKD remains under-recognized, especially in regions with high levels of PM2.5, such as China.

METHODS:

To explore the association between long-term exposure to ambient PM2.5 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 PM2.5 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 m2 or albuminuria were defined as having CKD. We used a logistic regression model to estimate the association and analyzed the influence of potential modifiers.

RESULTS:

The 2-year mean PM2.5 concentration was 57.4 µg/m3, with a range from 31.3 to 87.5 µg/m3. An increase of 10 µg/m3 in PM2.5 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.

CONCLUSIONS:

These findings regarding the relationship between long-term exposure to high ambient PM2.5 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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollution / Albuminuria / Environmental Exposure / Renal Insufficiency, Chronic / Particulate Matter Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: J Am Soc Nephrol Journal subject: Nephrology Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollution / Albuminuria / Environmental Exposure / Renal Insufficiency, Chronic / Particulate Matter Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: J Am Soc Nephrol Journal subject: Nephrology Year: 2021 Document Type: Article