Butland, BK; Atkinson, RW; Milojevic, A; Heal, MR; Doherty, RM; Armstrong, BG; MacKenzie, IA; Vieno, M; Lin, C; Wilkinson, P
(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.
ISSN 2053-3624
https://doi.org/10.1136/openhrt-2016-000429
SGUL Authors: Butland, Barbara Karen
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Abstract
Objectives: To investigate associations between daily concentrations of air pollution and myocardial infarction (MI), ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI). Methods: Modelled daily ground-level gaseous, total and speciated particulate pollutant concentrations and ground-level daily mean temperature, all at 5 km x 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 flu 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 (sulphate 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: | Article | ||||||||||||
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Additional Information: | This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ | ||||||||||||
SGUL Research Institute / Research Centre: | Academic Structure > Population Health Research Institute (INPH) | ||||||||||||
Journal or Publication Title: | Open Heart | ||||||||||||
ISSN: | 2053-3624 | ||||||||||||
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Publisher License: | Creative Commons: Attribution-Noncommercial 4.0 | ||||||||||||
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URI: | https://openaccess.sgul.ac.uk/id/eprint/108011 | ||||||||||||
Publisher's version: | https://doi.org/10.1136/openhrt-2016-000429 |
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