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1.
Clin Exp Allergy ; 46(6): 837-47, 2016 06.
Artigo em Inglês | MEDLINE | ID: mdl-26464237

RESUMO

BACKGROUND: In 2008, the European Respiratory Society Task Force proposed the terms multiple-trigger wheeze (MTW) and episodic (viral) wheeze (EVW) for children with wheezing episodes. We determined MTW and EVW prevalence, their 24-month stability and predictiveness for asthma. METHODS: In total, 565 preschoolers (1-, 2- and 3-year-olds) in primary care with respiratory symptoms were followed until the age of 6 years when asthma was diagnosed. MTW status and EVW status were determined using questionnaire data collected at baseline and after one and 2 years. We distinguished 3 phenotypes and determined their 24-month stability, also accounting for treatment with inhaled corticosteroids (ICS). Logistic regression was used to analyse the phenotypes' associations with asthma. RESULTS: Two hundred and eighty-one children had complete information. MTW and EVW were stable in 10 of 281 (3.6%) and 24 of 281 (8.5%), respectively. The odds of developing asthma for children with stable MTW and stable EVW were 14.4 (1.7-119) and 3.6 (1.2-11.3) times greater than those for children free of wheeze (for at least 1 year). ICS was associated with increased stability of MTW and EVW. CONCLUSIONS: Stable multiple-trigger and stable episodic viral wheeze are relatively uncommon. However, 1- to 3-year-olds with stable MTW are at much increased risk of asthma.


Assuntos
Vigilância da População , Sons Respiratórios/etiologia , Viroses/complicações , Corticosteroides/uso terapêutico , Criança , Pré-Escolar , Feminino , Seguimentos , Humanos , Imunoglobulina E/sangue , Imunoglobulina E/imunologia , Lactente , Masculino , Fenótipo , Prevalência , Prognóstico , Fatores de Risco
2.
Eur Respir J ; 36(1): 48-56, 2010 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-20032011

RESUMO

There is abundant literature on how to select and statistically deal with predictors in prediction models. Less attention has been paid to the choice of the outcome. We assessed the impact of different asthma definitions on prevalence estimates and on the prediction model's performances. We searched PubMed and extracted data of definitions used to diagnose childhood asthma (between 6 and 18 yrs) in cohort studies. Next, using data from an ongoing cohort study (n = 186), we constructed and compared four prediction models which all predict asthma at age 6 yrs, using a fixed set of predictors and four different definitions in turn. We defined an area of clinical indecision (posterior probability between 25% and 60%) and calculated the number of children who remained inside this area. 122 papers yielded 60 different definitions. Prevalence estimates varied between 15.1% and 51.1% depending on the asthma definition used. The percentage of children whose posterior asthma probability was in the area of clinical indecision varied from 14.9% to 65.3%. Variation in definitions and its effect on the performance of prediction models may be another source of otherwise inexplicable variation in daily clinical decision making. More uniformity of operational asthma definitions seems needed.


Assuntos
Asma/classificação , Adolescente , Asma/diagnóstico , Asma/epidemiologia , Criança , Estudos de Coortes , Humanos , Modelos Logísticos , Prevalência
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