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Nitrogen dioxide, an EPA parameter, may forecast the incidence of asthma exacerbations across urban areas: An observational study

RATIONALE: Efforts to reduce nitrogen dioxide (NO(2)) have the potential to reduce the morbidity and mortality related to asthma in children. We analyze the associations of pediatric hospital admission rates for asthma with Environmental Protection Agency (EPA) NO(2) parameters at the patient zip co...

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Autores principales: Solanki, Neha, Bruckman, David, Wang, Xiaofeng, Tang, Anne, Attaway, Amy, Khatri, Sumita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10092150/
https://www.ncbi.nlm.nih.gov/pubmed/36205454
http://dx.doi.org/10.1002/ppul.26194
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author Solanki, Neha
Bruckman, David
Wang, Xiaofeng
Tang, Anne
Attaway, Amy
Khatri, Sumita
author_facet Solanki, Neha
Bruckman, David
Wang, Xiaofeng
Tang, Anne
Attaway, Amy
Khatri, Sumita
author_sort Solanki, Neha
collection PubMed
description RATIONALE: Efforts to reduce nitrogen dioxide (NO(2)) have the potential to reduce the morbidity and mortality related to asthma in children. We analyze the associations of pediatric hospital admission rates for asthma with Environmental Protection Agency (EPA) NO(2) parameters at the patient zip code level. METHODS: We identified zip codes that had EPA monitors which monitored NO(2) levels located in states with high asthma burden. We used the Healthcare Cost and Utilization Project (HCUP) State Inpatient Database (SID) to identify patients who were <17 years of age with diagnosis codes for asthma. We compared NO(2) levels at the zip code level with the number of patients hospitalized for asthma from the HCUP SID database. RESULTS: Data from zip codes in Buffalo, Detroit, Phoenix, and Tucson from 2009 to 2011 demonstrated that the monthly mean NO(2) levels predicted pediatric asthma hospital admission rates in six monitored zip codes in these four cities with time series modeling (Buffalo zip code 14206, p = 0.0089; Detroit zip code 48205, p = 0.0179; Phoenix zip code 85006, p = 0.0433; Phoenix zip code 85009, p = 0.0007; Phoenix zip code 85015, p = 0.0036; Tucson zip code 85711, p = 0.0004). CONCLUSION: Pediatric admissions to the hospital for asthma exacerbations mirror the cyclic and seasonal pattern of NO(2) levels in the cities of Detroit, Buffalo, Phoenix, and Tucson. While traffic density may be higher in cities with periodicity of NO(2) and asthma exacerbations, other factors could be contributing to high NO(2) levels.
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spelling pubmed-100921502023-04-13 Nitrogen dioxide, an EPA parameter, may forecast the incidence of asthma exacerbations across urban areas: An observational study Solanki, Neha Bruckman, David Wang, Xiaofeng Tang, Anne Attaway, Amy Khatri, Sumita Pediatr Pulmonol Original Articles RATIONALE: Efforts to reduce nitrogen dioxide (NO(2)) have the potential to reduce the morbidity and mortality related to asthma in children. We analyze the associations of pediatric hospital admission rates for asthma with Environmental Protection Agency (EPA) NO(2) parameters at the patient zip code level. METHODS: We identified zip codes that had EPA monitors which monitored NO(2) levels located in states with high asthma burden. We used the Healthcare Cost and Utilization Project (HCUP) State Inpatient Database (SID) to identify patients who were <17 years of age with diagnosis codes for asthma. We compared NO(2) levels at the zip code level with the number of patients hospitalized for asthma from the HCUP SID database. RESULTS: Data from zip codes in Buffalo, Detroit, Phoenix, and Tucson from 2009 to 2011 demonstrated that the monthly mean NO(2) levels predicted pediatric asthma hospital admission rates in six monitored zip codes in these four cities with time series modeling (Buffalo zip code 14206, p = 0.0089; Detroit zip code 48205, p = 0.0179; Phoenix zip code 85006, p = 0.0433; Phoenix zip code 85009, p = 0.0007; Phoenix zip code 85015, p = 0.0036; Tucson zip code 85711, p = 0.0004). CONCLUSION: Pediatric admissions to the hospital for asthma exacerbations mirror the cyclic and seasonal pattern of NO(2) levels in the cities of Detroit, Buffalo, Phoenix, and Tucson. While traffic density may be higher in cities with periodicity of NO(2) and asthma exacerbations, other factors could be contributing to high NO(2) levels. John Wiley and Sons Inc. 2022-10-14 2023-01 /pmc/articles/PMC10092150/ /pubmed/36205454 http://dx.doi.org/10.1002/ppul.26194 Text en © 2022 The Authors. Pediatric Pulmonology published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Solanki, Neha
Bruckman, David
Wang, Xiaofeng
Tang, Anne
Attaway, Amy
Khatri, Sumita
Nitrogen dioxide, an EPA parameter, may forecast the incidence of asthma exacerbations across urban areas: An observational study
title Nitrogen dioxide, an EPA parameter, may forecast the incidence of asthma exacerbations across urban areas: An observational study
title_full Nitrogen dioxide, an EPA parameter, may forecast the incidence of asthma exacerbations across urban areas: An observational study
title_fullStr Nitrogen dioxide, an EPA parameter, may forecast the incidence of asthma exacerbations across urban areas: An observational study
title_full_unstemmed Nitrogen dioxide, an EPA parameter, may forecast the incidence of asthma exacerbations across urban areas: An observational study
title_short Nitrogen dioxide, an EPA parameter, may forecast the incidence of asthma exacerbations across urban areas: An observational study
title_sort nitrogen dioxide, an epa parameter, may forecast the incidence of asthma exacerbations across urban areas: an observational study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10092150/
https://www.ncbi.nlm.nih.gov/pubmed/36205454
http://dx.doi.org/10.1002/ppul.26194
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