Acute effect of ambient air pollution on heart failure in Guangzhou, China

Int J Cardiol. 2014 Dec 15;177(2):436-41. doi: 10.1016/j.ijcard.2014.09.003. Epub 2014 Oct 13.

Abstract

Background: Heart failure (HF) is a global public health problem of increasing importance. The association between acute exposure to air pollution and HF has been well established in developed countries, but little evidence was available in developing countries where air pollution levels were much higher. We conducted a time-series study to investigate the short-term association between air pollution and overall emergency ambulance dispatches (EAD) due to HF in Guangzhou, China.

Methods: Daily data of EAD due to HF from 1 January 2008 to 31 December 2012 were obtained from Guangzhou Emergency Center. We applied the over-dispersed Poisson generalized addictive model to analyze the associations after controlling for the seasonality, day of the week and weather conditions.

Results: We identified a total of 3375 EAD for HF. A 10-μg/m(3) increase in the present-day concentrations of particulate matter with an aerodynamic diameter of less than 10 μm, sulfur dioxide and nitrogen dioxide corresponded to increases of 3.54% [95% confidence interval (CI): 1.35%, 5.74%], 5.29% (95% CI: 2.28%, 8.30%) and 4.34% (95% CI: 1.71%, 6.97%) in daily EAD for HF, respectively. The effects of air pollution on acute HF were restricted on the concurrent day and in the cool seasons.

Conclusions: Our results provided the first population-based evidence in Mainland China that outdoor air pollution could trigger the exacerbation of HF.

Keywords: Air pollution; Emergency ambulance dispatches; Emergency medicine; Heart failure; Time-series study.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollution / adverse effects*
  • China / epidemiology
  • Heart Failure / diagnosis
  • Heart Failure / epidemiology*
  • Heart Failure / etiology*
  • Humans
  • Interrupted Time Series Analysis / methods*
  • Interrupted Time Series Analysis / trends
  • Particulate Matter / adverse effects*
  • Particulate Matter / analysis
  • Seasons*
  • Time Factors

Substances

  • Particulate Matter