Determinants of allergic rhinitis in young children with asthma

Allergic rhinitis phenotypes with distinct transcriptome profiles in children: A birth cohort

BACKGROUND

Allergic rhinitis (AR) phenotypes in childhood are unclear.

OBJECTIVES

This study sought to determine AR phenotypes and investigate their natural course and clinical and transcriptomic characteristics.

METHODS

Latent class trajectory analysis was used for phenotyping AR in 1050 children from birth through 12 years using a birth cohort study. Blood transcriptome analyses were performed to define the underlying mechanisms of each phenotype.

RESULTS

Five AR phenotypes were identified: early onset (n = 88, 8.4%), intermediate transient (n = 110, 10.5%), late onset (n = 209, 19.9%), very late onset (n=187, 17.8%), and never/infrequent (n = 456, 43.4%). Children with early-onset AR were associated with higher AR severity and sensitizations to foods at age 1 year and inhalants at age 3 years and asthma symptoms, but not with bronchial hyperresponsiveness (BHR). Children with late-onset AR phenotype associated with sensitizations to various foods at age 1 year but not from age 3 years, and to inhalants from age 7 years and with asthma with BHR. Children with very late-onset AR phenotype associated with sensitizations to foods throughout preschool age and to inhalants at ages 7 and 9 years and with asthma with BHR. Transcriptome analysis showed that early-onset AR was associated with viral/bacterial infection-related defense response, whereas late-onset AR was associated with T cell-related immune response.

CONCLUSIONS

Early-onset AR phenotype was associated with sensitization to foods and inhalants at an early age and asthma symptoms, but not with BHR, whereas very late- and late-onset AR phenotypes were positively associated with sensitization to inhalants and asthma with BHR. Transcriptomic analyses indicated that early- and late-onset AR phenotypes had distinct underlying mechanisms related to AR as well.

Does allergy explain why some children have severe asthma?

Asthma is a common disease in childhood with a minority of affected children having severe therapy-resistant asthma (STRA). Children with STRA can be differentiated from those with mild-moderate disease by greater allergic sensitization, increased eosinophilic airway inflammation, increased airway remodelling and reduced corticosteroid responsiveness. The aetiology of STRA in children is multifactorial but allergy seems to play a key role. Many children with asthma have coexisting allergic disease, and severe rhinitis seems to be an important driver of STRA in children. Allergies to foods, moulds, pollen and pets have also been associated with severe asthma exacerbations. Identifying allergens that are driving asthma symptoms in children with STRA may provide additional strategies for improving their disease control. Avoidance strategies may be possible. Additional monoclonal antibody therapy with Omalizumab or Mepolizumab may be helpful in children with clinically important polysensitization.

Control of Allergic Rhinitis and Asthma Test for Children (CARATKids): Validation in Brazil and cutoff values

BACKGROUND

The Control of Allergic Rhinitis and Asthma Test for Children (CARATKids) assesses asthma and allergic rhinitis control in children younger than 12 years.

OBJECTIVE

To validate the Brazilian Portuguese version of the CARATKids and to define the cutoff values for identifying uncontrolled disease.

METHODS

Children aged 6 to 12 years with asthma and allergic rhinitis were studied (n = 102). CARATKids, childhood Asthma Control Test (cACT), total nasal symptom score (TNSS), and visual analog scale (VAS) scores were obtained at baseline and after 4 to 6 weeks. Internal consistency, test-retest reliability, responsiveness, and validity of the Brazilian CARATKids were assessed according to the Consensus-based Standards for the Selection of Health Measurements Instruments checklist. The minimal clinically important difference (MCID) was evaluated using distribution and anchor methods. Spearman correlations were used to compare CARATKids scores with external measures of control. Receiver operating characteristic curve analysis was performed to establish cutoff values.

RESULTS

Fifty children completed both visits. The Cronbach α and intraclass correlation coefficient of CARATKids were 0.81 and 0.85, respectively. The Guyatt responsiveness index was -1.34, and within-patient change in clinically unstable patients (n = 31) was significant (P = .02). As for cross-sectional and longitudinal validity, correlation coefficients ranged from 0.58 to 0.77 (P < .001) and 0.30 to 0.57 (P < .05), respectively. The estimated MCID for CARATKids was 3. The optimal cutoffs (sensitivity and specificity) to exclude uncontrolled and controlled disease were 3 or less (97% and 67%) and 6 or greater (56% and 96%), respectively.

CONCLUSION

CARATKids is a reliable and valid tool to assess asthma and allergic rhinitis control in Brazilian children. A score of 6 or higher on CARATKids identifies uncontrolled disease, and a score of 3 or lower excludes poor disease control.

Association of atopy phenotypes with new development of asthma and bronchial hyperresponsiveness in school-aged children

BACKGROUND

Although previous studies have investigated the association between atopy phenotypes and allergic diseases, atopy characterizations in association with the development of allergic diseases remain poorly understood.

OBJECTIVE

To identify atopy phenotypes in school-age children and to evaluate the association between atopy phenotypes and allergic diseases.

METHODS

We enrolled 616 children with atopy defined as 1 or more positive allergen responses on skin prick tests and 665 children without atopy from the Children's Health and Environmental Research (CHEER) study. All children were followed up for 4 years at 2-year intervals. Atopy phenotypes were classified using latent class analysis.

RESULTS

Four atopy phenotypes were characterized: later sensitization to indoor allergens (cluster 1); multiple early sensitization (cluster 2); early sensitization to outdoor allergens, especially Alternaria, and later sensitization to indoor allergens, including Aspergillus (cluster 3); and early sensitization to indoor allergens and later sensitization to outdoor allergens (cluster 4). New cases of asthma during follow-up were increased in clusters 2 and 3 (adjusted odds ratio [aOR], 2.76 and 4.25, respectively). The risk of new-onset bronchial hyperresponsiveness was highest in cluster 3 (aOR, 5.03). Clusters 2 and 4 had an increased risk of allergic rhinitis (aOR, 7.21 and 2.37, respectively).

CONCLUSION

Identification of atopy phenotypes facilitates prediction of the development of asthma and bronchial hyperresponsiveness in school-age children. Our study suggests prevention of additional sensitization is required to modify the progression of allergic diseases.

Allergic Rhinitis in Adults with Chronic Suppurative Otitis Media

INTRODUCTION

Chronic suppurative otitis media (CSOM) is considered one of the most common causes of acquired hearing impairment in developing countries. CSOM is a multifactorial persistent inflammatory disease of the middle ear. A distinct pathophysiologic mechanism linking allergic rhinitis (AR) and CSOM remains to evolve. The purpose of this study was to investigate the association between AR and CSOM in adults.This was a case-control study.

MATERIALS AND METHODS

The subjects were 62 adults (23 male, 39 female) with established CSOM and 61 healthy controls. CSOM was diagnosed when there was a history of chronic (persisting for at least 3 months) otorrhea, accumulation of mucopurulent exudates in the external auditory canal or middle ear and/or perforated tympanic membrane on otoscopy. All participants were evaluated for the presence of AR by clinical evaluation of allergic symptoms, and underwent a skin-prick test for 23 common regional allergens. Statistical analysis was performed using SPSS version 16.

RESULTS

The prevalence of clinical rhinitis (allergic and non-allergic) was significantly higher among the cases compared with controls (62.5% vs. 37.5%, P=0.02). The prevalence of AR (proven by positive skin-prick test) was also significantly higher among affected adults than controls (24.6% and 13.8%, respectively). Adjusting for age, a logistic regression model showed that there was a significant difference between the two groups. Patients with AR and non-AR were at 3.27- (95% CI=1.15-9.29; P=0.036) and 2.57-(95% CI=1.01-6.57; P=0.048) fold increased risk of developing CSOM, respectively, compared with healthy individuals.

CONCLUSION

The study showed a higher prevalence of AR in CSOM patients than in controls. It may be valuable to evaluate and control this factor in these patients.