Literature DB >> 15741378

Asthma phenotypes, risk factors, and measures of severity in a national sample of US children.

Colleen F Kelley1, David M Mannino, David M Homa, Amanda Savage-Brown, Fernando Holguin.   

Abstract

OBJECTIVE: To examine a nationally representative sample of US children aged 6 to 16 years old and determine whether there are differences in risk factors and measures of severity between children with different asthma phenotypes.
METHODS: We analyzed data from the Third National Health and Nutrition Examination Survey. We used questionnaire and skin-prick testing data to separate children into the following mutually exclusive categories: atopic asthma, nonatopic asthma, resolved asthma, frequent respiratory symptoms with no asthma diagnosis, and normal. We used multivariate regression to determine whether demographic or potential risk factors varied between phenotypes and whether measures of severity varied by phenotype.
RESULTS: We found that 4.8% of children had atopic asthma, 1.9% had nonatopic asthma, 3.4% had resolved asthma, and 4.3% had frequent respiratory symptoms. Risk factors varied by phenotype, for example, the mean BMI was higher among children with nonatopic asthma, prenatal maternal smoking was a risk factor for resolved asthma, and child care attendance was a risk factor for frequent respiratory symptoms with no asthma diagnosis. Patients with atopic and nonatopic asthma were similar for most measures of asthma severity (medication use, health status, and lung function impairment). In contrast, patients with resolved asthma had fewer symptoms but a similar level of lung function impairment to that seen in patients with current asthma, whereas children with frequent respiratory symptoms but no asthma diagnosis had normal lung function.
CONCLUSIONS: Asthma risk factors and measures of severity vary between children with different asthma phenotypes.

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Year:  2005        PMID: 15741378     DOI: 10.1542/peds.2004-0529

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  15 in total

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2.  Behavioral inhibition is associated with airway hyperresponsiveness but not atopy in a monkey model of asthma.

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3.  Association of childhood obesity with atopic and nonatopic asthma: results from the National Health and Nutrition Examination Survey 1999-2006.

Authors:  Cynthia M Visness; Stephanie J London; Julie L Daniels; Jay S Kaufman; Karin B Yeatts; Anna-Maria Siega-Riz; Agustin Calatroni; Darryl C Zeldin
Journal:  J Asthma       Date:  2010-09       Impact factor: 2.515

4.  Genetic biomarkers of health-related quality of life in pediatric asthma.

Authors:  Sandra D Cortina; Dennis Drotar; Mark Ericksen; Mark Lindsey; Tia L Patterson; Jocelyn M Biagini Myers; Melinda Butsch Kovacic; Gurjit K Khurana Hershey
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5.  Gender differences in the association of overweight and asthma morbidity among urban adolescents with asthma.

Authors:  C L M Joseph; S L Havstad; D R Ownby; E Zoratti; E L Peterson; S Stringer; C C Johnson
Journal:  Pediatr Allergy Immunol       Date:  2008-09-22       Impact factor: 6.377

6.  Long-term maintenance of pediatric asthma: focus on budesonide/formoterol inhalation aerosol.

Authors:  Peter N Huynh; Lyne G Scott; Kenny Yc Kwong
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7.  Poverty, dirt, infections and non-atopic wheezing in children from a Brazilian urban center.

Authors:  Mauricio L Barreto; Sergio S Cunha; Rosemeire Fiaccone; Renata Esquivel; Leila D Amorim; Sheila Alvim; Matildes Prado; Alvaro A Cruz; Philip J Cooper; Darci N Santos; Agostino Strina; Neuza Alcantara-Neves; Laura C Rodrigues
Journal:  Respir Res       Date:  2010-12-01

8.  A methodology to establish a database to study gene environment interactions for childhood asthma.

Authors:  Stephen W Turner; Jon G Ayres; Tatiana V Macfarlane; Anil Mehta; Gita Mehta; Colin N Palmer; Steve Cunningham; Tim Adams; Krishnan Aniruddhan; Claire Bell; Donna Corrigan; Jason Cunningham; Andrew Duncan; Gerard Hunt; Richard Leece; Una MacFadyen; Jonathan McCormick; Sally McLeish; Andrew Mitra; Deborah Miller; Elizabeth Waxman; Alan Webb; Slawomir Wojcik; Somnath Mukhopadhyay; Donald Macgregor
Journal:  BMC Med Res Methodol       Date:  2010-12-06       Impact factor: 4.615

9.  Introduction of Asthma APGAR tools improve asthma management in primary care practices.

Authors:  Barbara P Yawn; Susan Bertram; Peter Wollan
Journal:  J Asthma Allergy       Date:  2008-08-31

10.  The Association of Lung Function, Bronchial Hyperresponsiveness, and Exhaled Nitric Oxide Differs Between Atopic and Non-atopic Asthma in Children.

Authors:  Eunhee Shim; Eun Lee; Song I Yang; Young Ho Jung; Geun Mi Park; Hyung Young Kim; Ju Hee Seo; Jinho Yu
Journal:  Allergy Asthma Immunol Res       Date:  2015-03-05       Impact factor: 5.764

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