ArticleThe Journal of allergy and clinical immunology2019
Causes of variability in latent phenotypes of childhood wheeze.
Article in The Journal of allergy and clinical immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 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
- A meta-analysis of genome-wide association studies of childhood wheezing phenotypes identifieseLife · 2023Pooled it
- Developments in the Management Strategies for Allergy: Advances in Artificial Intelligence and Future Perspectives.Anti-inflammatory & anti-allergy agents in medicinal chemistry · 2026Review
- The mechanistic role of adipokine imbalance in airway inflammation, hyperresponsiveness, and remodeling in obesity-related asthma.Frontiers in endocrinology · 2026Review
- Clustering lung function and symptom profiles for asthma risk stratification.Scientific reports · 2025Article
- Patterns of Respiratory Symptoms and Asthma Diagnosis in School-Age Children: Three Birth Cohorts.Allergy · 2025Article
- Tracing the path from preschool wheezing to asthma.Pediatric pulmonology · 2025Review
- Artificial intelligence in pediatric allergy research.European journal of pediatrics · 2024Review
- Social inequalities in childhood asthma.The World Allergy Organization journal · 2024Review
- Asthma Inception: Epidemiologic Risk Factors and Natural History Across the Life Course.American journal of respiratory and critical care medicine · 2024Review
- Identification of eczema clusters and their association with filaggrin and atopic comorbidities: analysis of five birth cohorts.The British journal of dermatology · 2023Article
- Early childhood wheezing phenotypes and determinants in a South African birth cohort: longitudinal analysis of the Drakenstein Child Health Study.The Lancet. Child & adolescent health · 2023Article
- Evolution of Eczema, Wheeze, and Rhinitis from Infancy to Early Adulthood: Four Birth Cohort Studies.American journal of respiratory and critical care medicine · 2022Article
- Early-life residential exposure to moisture damage is associated with persistent wheezing in a Finnish birth cohort.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2022Article
- Modeling Wheezing Spells Identifies Phenotypes with Different Outcomes and Genetic Associates.American journal of respiratory and critical care medicine · 2022Article
- Viral wheezing in early childhood as a risk factor for asthma in young adulthood: A prospective long-term cohort study.Health science reports · 2022Article
- Pathogens and Pathogenesis in Wheezing Diseases in Children Under 6.Frontiers in oncology · 2022Article
- Recurrent Severe Preschool Wheeze: From Prespecified Diagnostic Labels to Underlying Endotypes.American journal of respiratory and critical care medicine · 2021Article
- Characterisation of pulmonary function trajectories: results from a Brazilian cohort.ERJ open research · 2020Article
- Preschool Wheezing: Trajectories and Long-Term Treatment.Frontiers in pediatrics · 2020Review
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundLatent class analysis (LCA) has been used extensively to identify (latent) phenotypes of childhood wheezing. However, the number and trajectory of discovered phenotypes differed substantially between studies.
objectiveWe sought to investigate sources of variability affecting the classification of phenotypes, identify key time points for data collection to understand wheeze heterogeneity, and ascertain the association of childhood wheeze phenotypes with asthma and lung function in adulthood.
methodsWe used LCA to derive wheeze phenotypes among 3167 participants in the ALSPAC cohort who had complete information on current wheeze recorded at 14 time points from birth to age 16½ years. We examined the effects of sample size and data collection age and intervals on the results and identified time points. We examined the associations of derived phenotypes with asthma and lung function at age 23 to 24 years.
resultsA relatively large sample size (>2000) underestimated the number of phenotypes under some conditions (eg, number of time points <11). Increasing the number of data points resulted in an increase in the optimal number of phenotypes, but an identical number of randomly selected follow-up points led to different solutions. A variable selection algorithm identified 8 informative time points (months 18, 42, 57, 81, 91, 140, 157, and 166). The proportion of asthmatic patients at age 23 to 24 years differed between phenotypes, whereas lung function was lower among persistent wheezers.
conclusionsSample size, frequency, and timing of data collection have a major influence on the number and type of wheeze phenotypes identified by using LCA in longitudinal data.
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