Abstract

Background and aims: Chronic kidney disease (CKD) affects more than 38 million people in the United States, predominantly those over 65 years of age. While CKD etiology is complex, recent research suggests associations with certain environmental exposures. Additional studies are needed to understand the strength of associations. We examine estimated glomerular filtration rate (eGFR) using a random sample of North Carolina electronic healthcare records (EHRs) and potential relationships with PM₂.₅ and O₃. Methods: Patient data came from a random sample of 7,065 EHRs within the EPA CARES resource, with recorded serum creatinine concentrations. Patients were seen at a University of North Carolina Healthcare System affiliated hospital or clinic from 2004-2017. We estimated eGFR using CKD-EPI equations. PM₂.₅ data comes from a hybrid model using 1x1 km grids and O₃ data from CMAQ 12x12 km grids. Exposures were annual average PM₂.₅ and O₃ based on the creatinine lab test date. We used multiple linear regression to estimate eGFR per IQR increase of PM₂.₅ & O₃. We adjusted for patient sex, race, age, comorbidities, and 2010 census block group measures of sociodemographic and economic factors. Results: Patients averaged 55.3 (SD: 16.2) years of age, with 58.3% female. There were 1,001 patients (14.2%) diagnosed with CKD, identified by ICD-9 & 10 codes. Mean concentrations for the study period of PM₂.₅ and O₃ were 9.92 (IQR: 1.61) µg/m³ and 40.20 (IQR: 2.53) ppb respectively. eGFR decreased 8.45 mL/min/1.73m² (95% CI: 7.92, 8.98) per IQR increase of PM₂.₅ and a more modest decrease of 0.66 mL/min/1.73m² (95% CI: -.08, 1.40) per IQR of O₃. Conclusions: Annual average PM₂.₅, and to a lesser extent O₃, were associated with lower (poorer) eGFR. Future work will examine the relationship between air pollution and onset of CKD and impaired renal function. This abstract does not reflect EPA policy.

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