ArticlePrimary care respiratory journal : journal of the General Practice Airways Group2014
Wheezing phenotypes in young children: an historical cohort study.
Article in Primary care respiratory journal : journal of the General Practice Airways Group, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Machine learning-derived asthma and allergy trajectories in children: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- Maternal and cord blood vitamin D status and childhood infection and allergic disease: a systematic review.Nutrition reviews · 2016Pooled it
- Clinical predictors of wheeze trajectories and associations with allergy in Asian children.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2023Article
- Distinguishing Wheezing Phenotypes from Infancy to Adolescence. A Pooled Analysis of Five Birth Cohorts.Annals of the American Thoracic Society · 2019Article
- Causes of variability in latent phenotypes of childhood wheeze.The Journal of allergy and clinical immunology · 2019Article
- [Criteria heterogeneity in the diagnosis of acute bronchiolitis in Spain].Anales de pediatria · 2019Article
- Criteria heterogeneity in the diagnosis of acute bronchiolitis in Spain.Anales de pediatria · 2019Article
- Short-term association between particular matter air pollution and pediatric clinical visits for wheezing in a subarea of Shanghai.Environmental science and pollution research international · 2016Article
- Factors associated with the time to the first wheezing episode in infants: a cross-sectional study from the International Study of Wheezing in Infants (EISL).NPJ primary care respiratory medicine · 2016Article
- Distinguishing Asthma Phenotypes Using Machine Learning Approaches.Current allergy and asthma reports · 2015Review
- Predicting the outcome of early childhood wheeze: mission impossible.Primary care respiratory journal : journal of the General Practice Airways Group · 2014Article
- Identification of Asthma Subtypes Using Clustering Methodologies.Pulmonary therapyReview
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3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWheezing phenotypes in young children have usually been described on the basis of questionnaire surveys instead of prospectively doctor-diagnosed episodes, and have never been described in terms of incidence rates.
aimsTo identify wheezing phenotypes in the first three years and describe their incidence trends, and to investigate their relationship with asthma at six years of age.
methodsDoctor-diagnosed wheezing episodes in the first 36 months and active asthma at six years were identified in a historical cohort of 3,739 children followed from birth in 29 primary care health centres in Spain. Wheezing phenotypes were identified by means of latent class analysis. Changes in incidence rates of wheezing were identified through joinpoint regression models and their predictive ability for asthma was analysed.
resultsOne never/infrequent wheeze phenotype and three wheezing phenotypes were identified. There were two early phenotypes which started wheezing at a median age of six months, one of which was transient while the other had a heavy recurrence of episodes. A third phenotype exhibited a delayed onset of wheezing, a constant rise in incidence through the first 36 months, and a relationship with allergic asthma. These three phenotypes had a higher prevalence of active asthma at six years than the never/infrequent wheeze phenotype, but the classification had a weak predictive ability for asthma due to low sensitivity.
conclusionsThe use of incidence rates contributes to the clarification of the natural history of infant wheezing.
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