Literature DB >> 18925889

Timeliness of diagnosis of asthma in children and its predictors.

W E Molis1, S Bagniewski, A L Weaver, R M Jacobson, Y J Juhn.   

Abstract

BACKGROUND: There is a paucity of literature using medical records to evaluate the timeliness of asthma diagnosis in children and the predictors associated with timeliness of asthma diagnosis.
METHODS: Subjects were obtained from a convenience sample of 839 children, aged 5-13 years. We conducted comprehensive medical record reviews for these children to determine their asthma status by applying predetermined criteria for asthma. Predictors were evaluated for an association with timeliness of asthma diagnosis.
RESULTS: Of 839 children, 276 children met the criteria for asthma before 18 years of age. Of these subjects, 97 had timely diagnosis of asthma while 179 did not have timely diagnosis of asthma with the median delay of 3.3 years. Children with definite asthma at the time of index date was three times more timely to be diagnosed with asthma [hazard ratios (HR) 3.3, 95% CI: 2.43-4.47, P < 0.001], compared to those with probable asthma. Children with a family history of asthma were more timely to be diagnosed with asthma (HR 1.36, 95% CI: 1.03-1.8, P = 0.031). Children with exercise-induced wheezing or bronchospasm were more timely to be diagnosed with asthma (HR 1.79, 95% CI: 0.95-3.36, P = 0.07), compared to those with spasmodic (or bronchospastic) cough.
CONCLUSIONS: Many asthmatic children are not diagnosed with asthma in a timely manner, especially in those without the commonly recognized factors associated with asthma. Health care providers need to be reminded that asthma can still occur in those without commonly recognized risk factors. Asthma guidelines need to emphasize this aspect.

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Mesh:

Year:  2008        PMID: 18925889     DOI: 10.1111/j.1398-9995.2008.01749.x

Source DB:  PubMed          Journal:  Allergy        ISSN: 0105-4538            Impact factor:   13.146


  14 in total

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2.  Natural Language Processing for Asthma Ascertainment in Different Practice Settings.

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Journal:  J Allergy Clin Immunol Pract       Date:  2017-06-19

Review 3.  An update on exercise-induced bronchoconstriction with and without asthma.

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Journal:  Curr Allergy Asthma Rep       Date:  2009-11       Impact factor: 4.806

4.  Automated chart review for asthma cohort identification using natural language processing: an exploratory study.

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Journal:  Ann Allergy Asthma Immunol       Date:  2013-08-12       Impact factor: 6.347

5.  A methodological comparison of two European primary care databases and replication in a US claims database: inhaled long-acting beta-2-agonists and the risk of acute myocardial infarction.

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Journal:  Eur J Clin Pharmacol       Date:  2016-05-24       Impact factor: 2.953

6.  Recurrent wheeze and cough in young children: is it asthma?

Authors:  Mark Chung Wai Ng; Choon How How
Journal:  Singapore Med J       Date:  2014-05       Impact factor: 1.858

7.  Impact of delay in asthma diagnosis on health care service use.

Authors:  Brian A Lynch; Chelsey A Van Norman; Robert M Jacobson; Amy L Weaver; Young J Juhn
Journal:  Allergy Asthma Proc       Date:  2010 Jul-Aug       Impact factor: 2.587

8.  Risk of Asthma in Late Preterm Infants: A Propensity Score Approach.

Authors:  Gretchen A Voge; Slavica K Katusic; Rui Qin; Young J Juhn
Journal:  J Allergy Clin Immunol Pract       Date:  2015-05-02

9.  Serum 25-hydroxyvitamin D concentrations and waning pneumococcal antibody titers among individuals with atopy.

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Journal:  Allergy Asthma Proc       Date:  2013 Jul-Aug       Impact factor: 2.587

10.  Inflammatory bowel disease and asthma: a population-based, case-control study.

Authors:  Yilma A Fenta; Natalia Tello; Ji A Jung; Sang-Hwa Urm; Edward V Loftus; Barbara P Yawn; Xujian Li; Young J Juhn
Journal:  Inflamm Bowel Dis       Date:  2010-11       Impact factor: 5.325

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