Literature DB >> 33830515

Short-Term Exposure to Air Pollution and Epiglottitis: A Nested Case-Control Study.

So Young Kim1, Chanyang Min2,3, Dae Myoung Yoo2, Bumjung Park4, Hyo Geun Choi2,4.   

Abstract

OBJECTIVES/HYPOTHESIS: This study investigated the impacts of air pollution and meteorological factors on the occurrence of epiglottitis. STUDY
DESIGN: A nested case-control study.
METHODS: Participants ≥40 years old in the Korean National Health Insurance Service-Health Screening Cohort were analyzed. A total of 2,615 epiglottitis patients and 10,460 matched control participants were analyzed. The odds ratios (ORs) for epiglottitis associated with meteorological and air pollution factors, including sulfur dioxide (SO2 , ppb), nitrogen dioxide (NO2 , ppb), ozone (O3 , ppb), and carbon monoxide (CO, ppm), after 3, 7, 15, and 30 days of exposure were analyzed using conditional logistic regression adjusted for total cholesterol, blood pressure, fasting blood glucose, obesity, smoking, alcohol consumption, prior upper respiratory infection, tonsillectomy, immunocompromise, autoimmune disease, and the Charlson comorbidity index.
RESULTS: The daily temperature range and NO2 exposure after 3 days were associated with increased rates of epiglottitis (OR = 1.03, 95% confidence interval [CI] = 1.02-1.05 for temperature range and OR = 1.78, 95% CI = 1.14-2.77 for NO2 , respectively). These results were generally consistent at 7, 15, and 30 days.
CONCLUSIONS: The temperature range and NO2 exposure for 3, 7, 15, and 30 days were positively related to the occurrence of adult epiglottitis. LEVEL OF EVIDENCE: 3 Laryngoscope, 2021.
© 2021 The American Laryngological, Rhinological and Otological Society, Inc..

Entities:  

Keywords:  Air pollution; case-control studies; epiglottitis; meteorological factors; nitrogen dioxide

Year:  2021        PMID: 33830515     DOI: 10.1002/lary.29560

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  1 in total

1.  Machine Learning Models for Predicting the Occurrence of Respiratory Diseases Using Climatic and Air-Pollution Factors.

Authors:  Yunseo Ku; Soon Bin Kwon; Jeong-Hwa Yoon; Seog-Kyun Mun; Munyoung Chang
Journal:  Clin Exp Otorhinolaryngol       Date:  2022-01-07       Impact factor: 3.340

  1 in total

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