Abstract
BACKGROUND: Recent evidence has shown that fine particulate matter (PM 2.5) may be an important environmental risk factor for chronic kidney disease (CKD), but few studies have examined this association for individual patients using fine spatial data.
OBJECTIVE: To investigate the association between PM 2.5 and CKD (estimated glomerular filtration rate [eGFR]<45 ml/min/1.73 m 2) in the Twin-Cities area in Minnesota using a large electronic health care database (2012-2019).
METHODS: We estimated the previous 1-year average PM 2.5 from the first eGFR (measured with the CKD Epidemiology Collaboration equation using the first available creatinine measure during the baseline period [2012-2014]) using Environmental Protection Agency downscaler modeling data at the census tract level. We evaluated the spatial relative risk and clustering of CKD prevalence using a K-function test statistic. We assessed the prevalence ratio of the PM 2.5 association with CKD incidence using a mixed effect Cox model, respectively.
RESULTS: Patients (n = 20,289) in the fourth (PM 2.5 > 10.4), third (10.3 < PM 2.5 < 10.8) and second quartile (9.9 < PM 2.5 < 10.3) vs. the first quartile (<9.9 μg/m 3) had a 2.52[2.21, 2.87], 2.18[1.95, 2.45], and 1.72[1.52, 1.97] hazard rate of developing CKD in the fully adjusted models, respectively. We identified spatial heterogeneities and evidence of CKD clustering across our study region, but this spatial variation was accounted for by air pollution and individual covariates.
SIGNIFICANCE: Exposure to higher PM 2.5 is associated with a greater risk for incident CKD. Improvements in air quality, specifically at hotspots, may reduce CKD.
Original language | English (US) |
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Pages (from-to) | 583-589 |
Number of pages | 7 |
Journal | Journal of Exposure Science and Environmental Epidemiology |
Volume | 32 |
Issue number | 4 |
Early online date | Jun 14 2021 |
DOIs | |
State | Published - Jul 2022 |
Bibliographical note
Funding Information:This research was supported by the National Institutes of Health’s National Center for Advancing Translational Sciences, grant UL1TR002494. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health’s National Center for Advancing Translational Sciences.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature America, Inc.
Keywords
- Air pollution
- Epidemiology
- Health studies