Causes of variability in latent phenotypes of childhood wheeze

Latent 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. We sought to investigate sources of variability affecting the classification of phenotypes,...

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Bibliographic Details
Published in:Journal of allergy and clinical immunology 2019-05, Vol.143 (5), p.1783-1790.e11
Main Authors: Oksel, Ceyda, Granell, Raquel, Mahmoud, Osama, Custovic, Adnan, Henderson, A. John
Format: Article
Language:English
Subjects:
Adult
Age
Age of Onset
Asthma
Asthma - diagnosis
Asthma - epidemiology
Avon Longitudinal Study of Parents and Children
Bias
Child
Childhood
Childhood asthma
Children
Cohort Studies
Data collection
Data Collection - statistics & numerical data
Data dictionaries
Female
Genotype & phenotype
Heterogeneity
Humans
Hypothesis testing
Latent Class Analysis
longitudinal analysis
Longitudinal studies
Lungs
Male
Models, Statistical
Phenotype
Phenotypes
Phenotypic variations
Population
Prevalence
Questionnaires
Respiratory function
Respiratory Sounds - diagnosis
Risk Factors
Sample Size
Studies
Variability
wheeze phenotypes
Wheezing
Young Adult
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Summary:Latent 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. We 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. We 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. A relatively large sample size (>2000) underestimated the number of phenotypes under some conditions (eg, number of time points
ISSN:0091-6749
1097-6825
DOI:10.1016/j.jaci.2018.10.059