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Am J Emerg Med ; 33(3): 367-72, 2015 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-25577313

RESUMO

BACKGROUND: The association between air pollution exposure and cardiovascular events is well established, and the effect of short-term exposure on out-of-hospital cardiac arrest (OHCA) has received some attention. The effect of air pollution exposure and the activation of mobile intensive care units (MICUs) for cardiac arrest have never been studied. OBJECTIVE: We analyzed associations between air pollutants and MICU activation for OHCA. METHOD: This is a retrospective study including 4558 patients with OHCA and MICU activation from 2007 to 2012. A time-stratified case crossover design was used. Particulate matter (PM) of median aerodynamic diameter less than 2.5 µm (PM2.5), less than 10 µm, and ozone were the 3 main pollutants used to determine the effects of pollution exposure on the event. RESULTS: A daily average increase of 27.6 µg/m(3) in ozone was associated with an increase of MICU activation for OHCA the following day (odds ratio [OR], 1.13; 95% confidence interval [CI], 1.03-1.22). For women, a daily average increase of 27.6 µg/m(3) in ozone was associated with an increase of MICU activation for OHCA the following day (OR, 1.19; 95% CI, 1.01-1.37). An hourly average increase of 10.5 µg/m(3) in PM2.5 was associated with an increase of MICU activation for OHCA in the current hour (OR, 1.11; 95% CI, 1.02-1.19). For men, an increase in PM2.5 was associated with an increase in MICU activation for OHCA the current hour (OR, 1.10; 95% CI, 1.01-1.20). No association was found with PM of median aerodynamic diameter less than 10 µm. CONCLUSION: An association was found between air pollution and MICU activation for OHCA (ozone and PM2.5).


Assuntos
Poluição do Ar/estatística & dados numéricos , Ambulâncias/estatística & dados numéricos , Cuidados Críticos/estatística & dados numéricos , Exposição Ambiental/estatística & dados numéricos , Parada Cardíaca Extra-Hospitalar/epidemiologia , Ozônio , Material Particulado , Idoso , Idoso de 80 Anos ou mais , Estudos Cross-Over , Feminino , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Razão de Chances , Estudos Retrospectivos , Fatores Sexuais
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