Impact of short-term air pollution exposure on acute coronary syndrome in two cohorts of industrial and non-industrial areas: A time series regression with 6,000,000 person-years of follow-up (ACS - Air Pollution Study)

Abstract

BackgroundThere is a lack of studies directly comparing the effect of air pollution on acute coronary syndrome (ACS) occurrence in industrial and non-industrial areas. ObjectivesA comparison of association of air pollution exposure with ACS in two cohorts of industrially different areas. Materials and methodsThe study covered 6,000,000 person-years of follow-up and five pollutants between 2008 and 2017. A time series regression analysis with 7-lag was used to assess the effects air pollution on ACS. ResultsA total of 9046 patients with ACS were included in the analysis, of whom 3895 (43.06%) had ST-elevation myocardial infarction (STEMI) - 45.39% from non-industrial area, and 42.37% from industrial area; and 5151 (56.94%) had non-ST-elevation myocardial infarction (NSTEMI) - 54.61% from non-industrial area and 57.63% from industrial area. The daily concentrations of PM2.5, PM10, NO2, SO2, CO were higher in industrial than in non-industrial area (P < 0.001). In non-industrial area, an increase of 10 μg/m3 of NO2 concentration (Odds Ratio (OR) = 1.126, 95%CI = 1.009–1.257; P = 0.034, lag-0) and an increase of 1 mg/m3 in CO concentration (RR = 1.055, 95%CI = 1.010–1.103; P = 0.017, lag-0) were associated with an increase in the number of hospitalization due to NSTEMI (for industrial area increase of 10 μg/m3 in NO2 (OR = 1.062, 95%CI = 1.020–1.094; P = 0.005, lag-0), SO2 (OR = 1.061, 95%CI = 1.010–1.116; P = 0.018, lag-4), PM10 (OR = 1.010, 95%CI = 1.001–1.030; P = 0.047, lag-6). In STEMI patients in industrial area, an increased hospitalization was found to be associated with an increase of 10 μg/m3 in SO2 (OR = 1.094, 95%CI = 1.030–1.162; P = 0.002, lag-1), PM2.5 (OR = 1.041, 95%CI = 1.020–1.073; P < 0.001, lag-1), PM10 (OR = 1.030, 95%CI = 1.010–1.051; P < 0.001, lag-1). No effects of air pollution on the number of hospitalization due to STEMI were noted from non-industrial area. ConclusionThe risk of air pollution-related ACS was higher in industrial over non-industrial area. The effect of NO2 on the incidence of NSTEMI was observed in both areas. In industrial area, the effect of PMs and SO2 on NSTEMI and STEMI were also observed. A clinical effect was more delayed in time in patients with NSTEMI, especially after exposure to PM10. Chronic exposure to air pollution may underlie the differences in the short-term effect between particulate air pollution impact on the incidence of STEMI.