Correlation between atmospheric particulate matter pollution and number of patients admitted to hospital due to unstable angina in Taiyuan, Shanxi

ObjectiveTo investigate the effect of atmospheric particulate matter pollution on the number of patients admitted to hospital due to unstable angina (UA).

MethodsThe number of hospitalized patients with UA from December 1, 2013 to August 31, 2016 was collected, as well as meteorological surveillance data during the same period. Based on the control of long-term trends, meteorological factors, holidays and the effects of the day of the week, a semi-parametric generalized additive model was constructed to analyze the relationship between atmospheric particulate matter (including PM₁₀ and PM_2.5) and the number of hospitalized patients with UA.

ResultsAfter one day lag, as the PM₁₀ increased by 10 μg/m³, the number of UA patients admitted to hospital increased by 1.00%（95% CI: 0.60%–1.30%）, and as the PM_2.5 increased by 10 μg/m³, the number of UA patients admitted to hospital increased by1.50%（95% CI: 0.90%–2.00%). Two pollutant models were constructed by using particulate matter (PM_2.5 and PM₁₀) and ozone (lag one day). The results of PM₁₀ pollutant model was statistically significant after the substitution of O₃, and the RR value increased (P＜0.05). For PM_2.5, the results were statistically significant after the substitution of O₃, and the RR value increased (P＜0.05).

ConclusionAtmospheric particulate matter can cause an increase in the number of hospitalizations due to UA.