Body mass index and acute asthma severity among children presenting to the emergency department

Department of Emergency Medicine, University of Colorado Denver School of Medicine, Aurora, CO, USA.
Pediatric Allergy and Immunology (Impact Factor: 3.86). 06/2009; 21(3):480-8. DOI: 10.1111/j.1399-3038.2009.00911.x
Source: PubMed

ABSTRACT To determine the prevalence of obesity among children presenting to the emergency department (ED) with acute asthma, and to examine the relationship between body mass index (BMI) and acute asthma severity in the ED setting. We analyzed data from a multicenter prospective cohort study during 1997-1998; 44 ED in 17 US states and two Canadian provinces enrolled 672 patients, age 5-17, with acute asthma. BMI and Pulmonary Index were collected in the ED. We defined overweight and obesity using age, sex, and race-specific BMI values from national and international databases. The prevalence of obesity was significantly higher among ED patients with acute asthma as compared with children from the general population (23% vs. 9-15%; p < 0.001). Obese children with acute asthma did not differ from their non-obese counterparts, by demographic factors or chronic asthma severity (all p > 0.2). Initial Pulmonary Index was the same across underweight, intermediate, and obese groups (3.7 +/- 2.4, 3.8 +/- 2.2, 3.7 +/- 2.3; p = 0.70). Admission status also did not vary across groups (22%, 22% and 23%; p = 0.98). Stratifying the analysis by age group and sex did not change these results. The prevalence of obesity among children presenting to the ED with acute asthma was significantly higher compared with children from the general population. BMI was not associated with markers of chronic and acute asthma severity. The results of this study support a positive association between obesity and asthma, and suggest that asthma exacerbations among obese children are very similar to those experienced by other children.

  • [Show abstract] [Hide abstract]
    ABSTRACT: Asthma is a multifactorial, chronic inflammatory disease of the airways. The knowledge that asthma is an inflammatory disorder has become a core fundamental in the definition of asthma. Asthma's chief features include a variable degree of air-flow obstruction and bronchial hyper-responsiveness, in addition to the underlying chronic airways inflammation. This underlying chronic airway inflammation substantially contributes to airway hyper-responsiveness, air-flow limitation, respiratory symptoms, and disease chronicity. However, this underlying chronic airway inflammation has implications for the diagnosis, management, and potential prevention of the disease. This review for the respiratory therapy community summarizes these developments as well as providing an update on asthma epidemiology, natural history, cause, and pathogenesis. This paper also provides an overview on appropriate diagnostic and monitoring strategies for asthma, pharmacology, and newer therapies for the future as well as relevant management of acute and ambulatory asthma, and a brief review of educational approaches.
    Respiratory care 09/2011; 56(9):1389-407; discussion 1407-10. DOI:10.4187/respcare.01334 · 1.84 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: To examine the relationships among obesity, sleep-disordered breathing (SDB, defined as intermittent nocturnal hypoxia and habitual snoring), and asthma severity in children. We hypothesized that obesity and SDB are associated with severe asthma at a 1- year follow-up. Children aged 4-18 years were recruited sequentially from a specialty asthma clinic and underwent physiological, anthropometric, and biochemical assessment at enrollment. Asthma severity was determined after 1 year of follow-up and guideline-based treatment, using a composite measure of level of controller medication, symptom burden, and health care utilization. Multivariate logistic regression was used to examine adjusted associations of SDB and obesity with asthma severity at 12-month follow-up. Among 108 subjects (mean age, 9.1±3.4 years; 45.4% African-American; 67.6% male), obesity and SDB were common, affecting 42.6% and 29.6% of subjects, respectively. After adjusting for obesity, race, and sex, children with SDB had a 3.62-fold increased odds of having severe asthma at follow-up (95% CI, 1.26-10.40). Obesity was not associated with asthma severity. SDB is a modifiable risk factor for severe asthma after 1 year of specialty asthma care. Further studies are needed to determine whether treating SDB improves asthma morbidity.
    The Journal of pediatrics 11/2011; 160(5):736-42. DOI:10.1016/j.jpeds.2011.10.008 · 3.74 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The purpose of this study was to investigate the association between body mass index (BMI) and the prevalence of wheeze using nation-wide cross-sectional study in Korean children. Total 50,200 children from 427 elementary schools were randomly selected according to residential areas (metropolitan, provincial, rural, and industrial areas) by the cluster sampling method. The International Study of Asthma and Allergies in Childhood (ISAAC) questionnaires were used to measure the prevalence of wheeze. Among 31,026 respondents, 25,322 were analyzed. BMI was classified into quartiles based on BMI-for-age percentile. In all residential areas, pets at home and visible mold or moisture were associated with an increased prevalence of wheeze in both genders. However, other living environment factors were not consistently associated among residential areas and gender. Among girls, lowest BMI was negatively associated with prevalence of wheeze and highest BMI was positively associated in all residential areas. In multilevel logistic regression analysis, environmental tobacco smoking exposure, pets at home, visible mold or moisture, and being in the lowest and highest BMI quartile were significantly associated with the prevalence of wheeze in both genders. BMI has become an important risk factor for asthma symptoms among Korean children.
    Journal of Korean medical science 12/2011; 26(12):1541-7. DOI:10.3346/jkms.2011.26.12.1541 · 1.25 Impact Factor