The influence of childhood asthma on adult height: evidence from the UK Biobank

Recommendations for asthma monitoring in children: A PeARL document endorsed by APAPARI, EAACI, INTERASMA, REG, and WAO

Monitoring is a major component of asthma management in children. Regular monitoring allows for diagnosis confirmation, treatment optimization, and natural history review. Numerous factors that may affect disease activity and patient well-being need to be monitored: response and adherence to treatment, disease control, disease progression, comorbidities, quality of life, medication side-effects, allergen and irritant exposures, diet and more. However, the prioritization of such factors and the selection of relevant assessment tools is an unmet need. Furthermore, rapidly developing technologies promise new opportunities for closer, or even "real-time," monitoring between visits. Following an approach that included needs assessment, evidence appraisal, and Delphi consensus, the PeARL Think Tank, in collaboration with major international professional and patient organizations, has developed a set of 24 recommendations on pediatric asthma monitoring, to support healthcare professionals in decision-making and care pathway design.

Effects of urinary tract infection during the first years of life in subsequent growth: a nationwide comparative matched cohort study

Background

Although various childhood illnesses are known to influence growth status, the impact of urinary tract infections (UTI) on subsequent childhood growth remains unclear. This study was conducted to examine the association between UTI during infancy and growth status at 30-36 months.

Methods

Nationwide population-based matched cohort study was done using data from the Korean National Health Insurance System (NHIS) and the Korean National Health Screening Program for Infants and Children (NHSPIC) between January 2018 and December 2020. Height and weight standard deviation scores (SDSs) at the fourth Korean NHSPIC conducted at 30-36 months were compared between children who experienced UTI during infancy and age- and sex-matched controls. We used weighted multiple linear regression analysis with inverse probability of treatment weighting (IPTW) and identified differences between the two groups using β coefficient with corresponding 95% confidence intervals (CIs).

Results

We analyzed 84,519 children diagnosed with UTI during infancy and 84,519 age- and sex-matched controls. The height SDS between children who experienced UTI and the control group was not statistically different (β coefficient for height SDS, -0.0034; 95% CI: -0.0121 to 0.0054). However, the body mass index (BMI) SDS was significantly higher in children who had experienced UTI (β coefficient for BMI SDS, 00426; 95% CI: 0.0304 to 0.0547). Subgroup and sensitivity analysis showed consistent results.

Conclusions

Our findings suggest that a history of UTI during infancy is associated with high BMI measured at 30-36 months.

Variants in JAZF1 are associated with asthma, type 2 diabetes, and height in the United Kingdom biobank population

Background: Asthma, type 2 diabetes (T2D), and anthropometric measures are correlated complex traits that all have a major genetic component. Objective: To investigate the overlap in genetic variants associated with these complex traits. Methods: Using United Kingdom Biobank data, we performed univariate association analysis, fine-mapping, and mediation analysis to identify and dissect shared genomic regions associated with asthma, T2D, height, weight, body mass index (BMI), and waist circumference (WC). Results: We found several genome-wide significant variants in and around the JAZF1 gene that are associated with asthma, T2D, or height with two of these variants shared by the three phenotypes. We also observed an association in this region with WC when adjusted for BMI. However, there was no association with WC when it was not adjusted for BMI or weight. Additionally, only suggestive associations between variants in this region and BMI were observed. Fine-mapping analyses suggested that within JAZF1 there are non-overlapping regions harboring causal susceptibility variants for asthma, T2D, and height. Mediation analyses supported the conclusion that these are independent associations. Conclusion: Our findings indicate that variants in the JAZF1 are associated with asthma, T2D, and height, but the associated causal variant(s) are different for each of the three phenotypes.