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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: BACKGROUND, OBJECTIVE, METHODS, RESULTS. Meshes: Absenteeism, Adipokines, Adolescent, Adult, Anti-Asthmatic Agents, Asthma, Child, Child, Preschool, Chitinase-3-Like Protein 1, Cross-Sectional Studies, Female, Gene Dosage, Glycoproteins, Heterozygote, Homozygote, Hospitalization, Humans, Lectins, Male, Polymorphism, Single Nucleotide, Scotland, Students, Young Adult.
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Is the CHI3L1 rs4950928 polymorphism associated with asthma-related hospital admissions in children and young adults? Context: Asthma exacerbations are the commonest cause of medical admissions in childhood. These have a significant effect on quality of life and are a major financial burden on worldwide healthcare services. A range of gene-environment interactions may influence the course and severity of asthma in children and their response to medication. The Chitinase 3-like 1 (CHI3L1)-131C>G genotype (rs4950928) is associated with increased asthma susceptibility and severity in adults. To study the interactions of the Chitinase 3-Like-1 functional promoter SNP rs4950928 and its role on asthma exacerbations in a population of children and young adults with asthma. A cross-sectional survey was undertaken using medical records and direct interviews of 1,071 children and young adults with asthma, aged 3 to 22 years, from Scotland. Saliva samples were collected for genotyping. Binary logistic regression was used to calculate odds ratios (ORs) and P-values for measures of asthma exacerbations. The minor -131G allele confers protection against asthma-related hospital admissions (OR = 0.62; 95% CI 0.41-0.92; P = .018) in children and young adults with asthma.
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Our study shows that rs4950928 is significantly associated with hospital admissions in children and young adults; screening for rs4950928 may predict asthma-related hospital admissions, and through individually defined treatment management plans, potentially reduce health care costs. Final Decision: yes