Myocardial infarction, ST-elevation and non-ST-elevation myocardial infarction and modelled daily pollution concentrations: a case-crossover analysis of MINAP data

Butland, Barbara K.; Atkinson, Richard W.; Milojevic, Ai; Heal, Mathew R.; Doherty, Ruth M.; Armstrong, Ben G.; MacKenzie, Ian A.; Vieno, Massimo ORCID: https://orcid.org/0000-0001-7741-9377; Lin, Chun; Wilkinson, Paul. 2016 Myocardial infarction, ST-elevation and non-ST-elevation myocardial infarction and modelled daily pollution concentrations: a case-crossover analysis of MINAP data. Open Heart, 3 (2), e000429. 9, pp. 10.1136/openhrt-2016-000429

Before downloading, please read NORA policies.

Preview

Text N514573JA.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (675kB) | Preview

Abstract/Summary

Objectives: To investigate associations between daily concentrations of air pollution and myocardial infarction (MI), ST-elevation MI (STEMI) and non-ST-elevation MI (NSTEMI). Methods: Modelled daily ground-level gaseous, total and speciated particulate pollutant concentrations and ground-level daily mean temperature, all at 5 km×5 km horizontal resolution, were linked to 202 550 STEMI and 322 198 NSTEMI events recorded on the England and Wales Myocardial Ischaemia National Audit Project (MINAP) database. The study period was 2003–2010. A case-crossover design was used, stratified by year, month and day of the week. Data were analysed using conditional logistic regression, with pollutants modelled as unconstrained distributed lags 0–2 days. Results are presented as percentage change in risk per 10 µg/m3 increase in the pollutant relevant metric, having adjusted for daily mean temperature, public holidays, weekly influenza consultation rates and a sine-cosine annual cycle. Results: There was no evidence of an association between MI or STEMI and any of O3, NO2, PM2.5, PM10 or selected PM2.5 components (sulfate and elemental carbon). For NSTEMI, there was a positive association with daily maximum 1-hour NO2 (0.27% (95% CI 0.01% to 0.54%)), which persisted following adjustment for O3 and adjustment for PM2.5. The association appeared to be confined to the midland and southern regions of England and Wales. Conclusions: The study found no evidence of an association between the modelled pollutants (including components) investigated and STEMI but did find some evidence of a positive association between NO2 and NSTEMI. Confirmation of this association in other studies is required.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1136/openhrt-2016-000429
UKCEH and CEH Sections/Science Areas:	Dise
ISSN:	2053-3624
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
NORA Subject Terms:	Health
Date made live:	31 Oct 2016 11:45 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/514573

Actions (login required)

View Item

Document Downloads

More statistics for this item...