Increased risk of emergency department presentations for bronchiolitis in infants exposed to air pollution.
Elisa GalloSilvia BressanSimonetta BaraldoDaniele BottigliengoSara GeremiaAslihan Senturk AcarLuca ZagolinGiovanna MarsonLiviana Da DaltDario GregoriPublished in: Risk analysis : an official publication of the Society for Risk Analysis (2022)
Air pollution has been linked to an increased risk of several respiratory diseases in children, especially respiratory tract infections. The present study aims to evaluate the association between pediatric emergency department (PED) presentations for bronchiolitis and air pollution. PED presentations due to bronchiolitis in children aged less than 1 year were retrospectively collected from 2007 to 2018 in Padova, Italy, together with daily environmental data. A conditional logistic regression based on a time-stratified case-crossover design was performed to evaluate the association between PED presentations and exposure to NO 2 , PM2.5, and PM10. Models were adjusted for temperature, relative humidity, atmospheric pressure, and public holidays. Delayed effects in time were evaluated using distributed lag non-linear models. Odds ratio for lagged exposure from 0 to 14 days were obtained. Overall, 2251 children presented to the PED for bronchiolitis. Infants' exposure to higher concentrations of PM10 and PM2.5 in the 5 days before the presentation to the PED increased the risk of accessing the PED by more than 10%, whereas high concentrations of NO 2 between 2 and 12 days before the PED presentation were associated with an increased risk of up to 30%. The association between pollutants and infants who required hospitalization was even greater. A cumulative effect of NO 2 among the 2 weeks preceding the presentation was also observed. In summary, PM and NO 2 concentrations are associated with PED presentations and hospitalizations for bronchiolitis. Exposure of infants to air pollution could damage the respiratory tract mucosa, facilitating viral infections and exacerbating symptoms.
Keyphrases
- air pollution
- particulate matter
- respiratory tract
- emergency department
- lung function
- respiratory syncytial virus
- young adults
- case report
- mental health
- sars cov
- depressive symptoms
- oxidative stress
- clinical trial
- heavy metals
- machine learning
- adverse drug
- open label
- cystic fibrosis
- sleep quality
- neural network
- double blind
- carbon dioxide