In a recent article published in Environmental Epidemiology, we developed models to predict spatial variations in the ability of PM2.5 iron and copper to contribute to oxidative stress in the lungs. After publication, we became aware of an error in our compilation of PM2.5-metals data during the winter months. This error did not change the overall conclusions of our study but did result in an underestimation of PM2.5 metals concentrations (and ROS concentrations) reported for the winter and annual time periods. Corrected winter and annual values for Fe, Cu, and ROS are shown below in Erratum Table 1.
A second consequence of this error was that between-season differences 85 in PM2.5 metals and ROS concentrations were not as large as initially reported. However, Fe (mean summer/winter ratio=1.42, 95% CI: 1.29, 1.55), Cu (mean summer/winter ratio=1.67, 95% CI: 1.53, 1.80), and ROS concentrations (mean summer/winter ratio=1.35, 95% CI: 1.21, 1.49) still tended to be higher during summer compared to winter (Erratum Figure 1). Correlations between metals during winter also changed slightly once we corrected the error (Erratum Figure 2) as did the distribution of winter ROS values (Erratum Figures 3 and 4).
A third consequence of this error was that all annual models 119 now perform better than initially reported. The corrected models are shown below in Erratum Table 2 and Erratum Figure 5.
In summary, these revised results are consistent with our original 129 findings and support the combined use of PM2.5 metals data with a kinetic multi-layer model of surface and bulk chemistry as a novel means of estimating PM2.5 health impacts beyond simple mass concentrations.
Copyright © 2019 The Authors. Published by Wolters Kluwer Health, Inc.
Weichenthal S, Shekarrizfard M, Kulka R, Lakey PSJ, Al-Rijleh K, Anowar S, Shiraiwa M, Hatzopoulou M. Spatial variations in the estimated production of reactive oxygen species in the epithelial lung lining fluid by PM2.5 iron and copper.Environmental Epidemiology20182e020