Particulate Matter and Albuminuria, Glomerular Filtration Rate, and Incident CKD
Author(s) -
Matthew F. Blum,
Aditya Surapaneni,
James D. Stewart,
Duanping Liao,
Jeff D. Yanosky,
Eric A. Whitsel,
Melinda C. Power,
Morgan E. Grams
Publication year - 2020
Publication title -
clinical journal of the american society of nephrology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.755
H-Index - 151
eISSN - 1555-905X
pISSN - 1555-9041
DOI - 10.2215/cjn.08350719
Subject(s) - albuminuria , medicine , particulates , renal function , kidney disease , filtration (mathematics) , urology , mathematics , statistics , ecology , biology
Background and objectives Exposure to particulate matter (PM) <2.5 μ m in aerodynamic diameter (PM 2.5 ) has been linked to detrimental health effects. This study aimed to describe the relationship between long-term PM 2.5 exposure and kidney disease, including eGFR, level of albuminuria, and incident CKD. Design, setting, participants, & measurements The study included 10,997 participants from the Atherosclerosis Risk in Communities cohort who were followed from 1996–1998 through 2016. Monthly mean PM 2.5 concentrations ( μ g/m 3 ) were estimated at geocoded participant addresses using geographic information system–based, spatiotemporal generalized additive mixed models—including geospatial covariates such as land use—and then averaged over the 12-month period preceding participant examination. Covariate-adjusted, cross-sectional associations of PM 2.5 , baseline eGFR, and urinary albumin-creatinine ratio (UACR) were estimated using linear regression. PM 2.5 and incident CKD (defined as follow-up eGFR <60 ml/min per 1.73 m 2 with ≥25% eGFR decline relative to baseline, CKD-related hospitalization or death based on International Classification of Diseases 9/10 codes, or development of ESKD) associations were estimated using Cox proportional hazards regression. Modeling was stratified by study site, and stratum-specific estimates were combined using random-effects meta-analyses. Results Baseline mean participant age was 63 (±6) years and eGFR was 86 (±16) ml/min per 1.73 m 2 . There was no significant PM 2.5 -eGFR association at baseline. Each 1- μ g/m 3 higher annual average PM 2.5 was associated with higher UACR after adjusting for demographics, socioeconomic status, and clinical covariates (percentage difference, 6.6%; 95% confidence interval [95% CI], 2.6% to 10.7%). Each 1- μ g/m 3 higher annual average PM 2.5 was associated with a significantly higher risk of incident CKD (hazard ratio, 1.05; 95% CI, 1.01 to 1.10). Conclusions Exposure to higher annual average PM 2.5 concentrations was associated with a higher level of albuminuria and higher risk for incident CKD in a community-based cohort.
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