Ambient temperature and emergency room admissions for acute coronary syndrome in Taiwan

Int J Biometeorol. 2008 Jan;52(3):223-9. doi: 10.1007/s00484-007-0116-5. Epub 2007 Oct 25.

Abstract

Acute coronary syndrome (ACS) is an important public health problem around the world. Since there is a considerable seasonal fluctuation in the incidence of ACS, climatic temperature may have an impact on the onset of this disease. The objective of this study was to assess the relationship between the average daily temperature, diurnal temperature range and emergency room (ER) admissions for ACS in an ER in Taichung City, Taiwan. A longitudinal study was conducted which assessed the correlation of the average daily temperature and the diurnal temperature range to ACS admissions to the ER of the city's largest hospital. Daily ER admissions for ACS and ambient temperature were collected from 1 January 2000 to 31 March 2003. The Poisson regression model was used in the analysis after adjusting for the effects of holiday, season, and air pollutant concentrations. The results showed that there was a negative significant association between the average daily temperature and ER admissions for ACS. ACS admissions to the ER increased 30% to 70% when the average daily temperature was lower than 26.2 degrees C. A positive association between the diurnal temperature range and ACS admissions was also noted. ACS admissions increased 15% when the diurnal temperature range was over 8.3 degrees C. The data indicate that patients suffering from cardiovascular disease must be made aware of the increased risk posed by lower temperatures and larger changes in temperature. Hospitals and ERs should take into account the increased demand of specific facilities during colder weather and wider temperature variations.

MeSH terms

  • Acute Coronary Syndrome / epidemiology*
  • Aged
  • Aged, 80 and over
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Humans
  • Incidence
  • Male
  • Patient Admission / statistics & numerical data*
  • Proportional Hazards Models*
  • Risk Assessment / methods*
  • Risk Factors
  • Taiwan / epidemiology
  • Temperature*