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

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 dail...

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Detalles Bibliográficos
Autores principales: Butland, Barbara K, Atkinson, Richard W, Milojevic, Ai, Heal, Mathew R, Doherty, Ruth M, Armstrong, Ben G, MacKenzie, Ian A, Vieno, Massimo, Lin, Chun, Wilkinson, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013456/
https://www.ncbi.nlm.nih.gov/pubmed/27621827
http://dx.doi.org/10.1136/openhrt-2016-000429
Descripción
Sumario: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/m(3) 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 O(3), NO(2), PM(2.5), PM(10) or selected PM(2.5) components (sulfate and elemental carbon). For NSTEMI, there was a positive association with daily maximum 1-hour NO(2) (0.27% (95% CI 0.01% to 0.54%)), which persisted following adjustment for O(3) and adjustment for PM(2.5). 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 NO(2) and NSTEMI. Confirmation of this association in other studies is required.