ArticleThe journal of allergy and clinical immunology. In practice
Latent Class Analysis of School-Age Children at Risk for Asthma Exacerbation.
Article in The journal of allergy and clinical immunology. In practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 26 citations in OpenAlex.
- A Categorical ANCOVA Approach to Severity Endophenotype-Specific Genome-Wide Association Studies in Childhood Asthma.Journal of personalized medicine · 2026Article
- Sensitization of Common Allergens and Cosensitization Patterns Among Children in Guangzhou, China.Journal of immunology research · 2026Article
- Clustering lung function and symptom profiles for asthma risk stratification.Scientific reports · 2025Article
- Latent class analysis of oral symptoms in stroke patients and exploration of associated.BMC oral health · 2025Article
- Longitudinal Trajectories of Asthma and Allergic Comorbidities in the Korean Childhood Asthma Study.Allergy, asthma & immunology research · 2025Article
- Symptom Network and Subgroup Analysis in Patients with Exacerbation of Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study.International journal of chronic obstructive pulmonary disease · 2025Article
- Uncontrolled asthma in school-aged children-a nationwide specialist care study.The journal of allergy and clinical immunology. Global · 2024Article
- Association of factors with childhood asthma and allergic diseases using latent class analysis.Scientific reports · 2024Article
- Prediction of Asthma Exacerbations in Children.Journal of personalized medicine · 2023Review
- Outcomes of children with life-threatening status asthmaticus requiring isoflurane therapy and extracorporeal life support.The Journal of asthma : official journal of the Association for the Care of Asthma · 2023Article
- Cluster analysis of plasma cytokines identifies two unique endotypes of children with asthma in the pediatric intensive care unit.Scientific reports · 2023Article
- Functional immunophenotyping of children with critical status asthmaticus identifies differential gene expression responses in neutrophils exposed to a poly(I:C) stimulus.Scientific reports · 2022Observational
- Associations of Four sensitization patterns revealed by Latent Class Analysis with Clinical symptoms: A multi-center study of China.EClinicalMedicine · 2022Article
- Factors associated with the mental health status of pregnant women in China: A latent class analysis.Frontiers in public health · 2022Article
- The Dietary Inflammatory Index and asthma burden in children: A latent class analysis.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2022Article
- Performance of Eosinophil Cationic Protein as a Biomarker in Asthmatic Children.The journal of allergy and clinical immunology. In practice · 2021Article
- Childhood Asthma - The Effect of Asthma Specialist Intervention on Asthma Control: A Retrospective Review.Journal of asthma and allergy · 2021Article
- Artificial Intelligence and Machine Learning in Chronic Airway Diseases: Focus on Asthma and Chronic Obstructive Pulmonary Disease.International journal of medical sciences · 2021Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundFactors responsible for asthma exacerbations in children are complex and may differ from those that drive asthma severity.
objectiveTo identify latent classes of children at risk for asthma exacerbation and determine whether latent class assignment is useful in the prediction of future exacerbation.
methodsLatent class analysis was performed on 513 children aged 6 to 17 years at risk for asthma exacerbation, with 31 variables encompassing demographics, medical history, treatment, symptoms, lung function, sensitization, and type 2 inflammation. Primary and secondary outcomes included exacerbation occurrence by 12 months and time to first exacerbation, respectively.
resultsFour latent classes were identified with differing demographic features, sensitization and type 2 inflammatory markers, prior exacerbation severity and health care utilization, and lung function. Exacerbations occurred in 22.4% of class 1 ("lesser sensitization with normal lung function"), 27.9% of class 2 ("lesser sensitization with prior severe exacerbation and normal lung function"), 45.3% of class 3 ("multiple sensitization with reversible airflow limitation"), and 64.3% of class 4 ("multiple sensitization with partially reversible airflow limitation") (P < .001). Time to exacerbation also followed similar trends and was shortest in the latent classes with multiple sensitization and airflow limitation (P < .001). Outcomes were driven largely by children with exacerbation-prone asthma (defined as ≥3 exacerbations in the prior year), who were present in each class but most strongly represented in classes 3 and 4.
conclusionsChildren at risk for asthma exacerbation are a heterogeneous group. Sensitization, prior exacerbation severity, and lung function variables may be particularly useful in identifying children at greatest risk for future exacerbation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.