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Background: Type 2 inflammation is the principal determinant of asthma in children, and it leads to the downstream activation of eosinophils (EOS), the production of immunoglobulin-E (IgE), and increased levels of fraction of exhaled nitric oxide (FeNO). Dupilumab received the approval for the treatment of uncontrolled severe Type 2 asthma in children. Objective: The aim of this analysis was to calculate the Type 2 severe asthma paediatric population who would be eligible for treatment with dupilumab in Italy and characterize them by expected biomarker status. Methods: The calculation of the dupilumab-eligible population employed a two-phase approach: 1) estimating the total number of children aged 6-11 years with uncontrolled severe asthma; and 2) stratifying the severe uncontrolled asthma population, based on appropriate biomarker levels, thus identifying patients eligible for treatment with dupilumab. The VOYAGE study provided the data for this analysis. Results: The two-phase approach utilizing VOYAGE data revealed that the average number of paediatric patients with uncontrolled severe asthma was N = 1007. Stratification of these patients, as per VOYAGE data, indicated that the majority (N = 740; 73.5%) would have ≥2 elevated biomarkers, and over one-third patients (N = 434, 43.1%) would exhibit simultaneously elevated levels of EOS, FeNO and IgE. Of the paediatric patients, N = 864 were identified as eligible to dupilumab treatment, constituting 85.8% of the target population. Notably, nearly half eligible patients (N = 454) displayed elevated levels of both EOS and FeNO biomarkers, while the substantial majority (81.1%) exhibited at least an increase of EOS levels (N = 817). Patients with increased FeNO levels without a concurrent increase in EOS were less frequent (N = 47; 5.4% of the eligible population). Conclusion: The simultaneous testing of multiple biomarkers during baseline patient assessment and disease follow-up is highly recommended. Utilizing cost-effective tests, physicians can estimate the prevalence of severe Type 2 asthma, categorize patients into distinct phenotypes (eosinophilic, allergic, or mixed), and consequently identify and prescribe the most suitable therapeutic interventions. This approach also facilitates the ongoing evaluation and adjustment of the treatment strategies based on individual patient responses.
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Purpose: Dupilumab, a fully human monoclonal antibody, blocks the shared receptor component for interleukins-4/-13, key and central drivers of type 2 inflammation in multiple diseases. This post hoc analysis of the Phase 3 LIBERTY ASTHMA VOYAGE study (NCT02948959) evaluated the efficacy of dupilumab in children aged 6 to 11 years with moderate-to-severe asthma with a type 2 inflammatory phenotype (blood eosinophil count ≥150 cells/µL or fractional exhaled nitric oxide [FeNO] ≥20 ppb) and a history of 1, 2, or ≥3 prior exacerbations. The impact of baseline type 2 biomarker levels on the efficacy of dupilumab in this population was also investigated. Patients and Methods: Patients were stratified by the number of exacerbations in the prior year (1, 2, or ≥3) and level of FeNO or blood eosinophil count at baseline. Endpoints included rate of severe exacerbations, percentage of non-exacerbators, and change from baseline in both lung function parameters (pre- and post-bronchodilator [BD] percent predicted forced expiratory volume in 1 s (ppFEV1) and ppFEV1/forced vital capacity [FVC] ratio) and Asthma Control Questionnaire 7 Interviewer-Administered (ACQ-7-IA) score. Results: A total of 350 patients were included in this analysis. Across patients with 1, 2, or ≥3 prior exacerbations and different levels of type 2 biomarkers, dupilumab reduced the risk of severe asthma exacerbations vs placebo by 53.0-96.0% and improved both pre-BD ppFEV1 and pre-BD FEV1/FVC ratio at Week 52. Dupilumab led to significant reductions in ACQ-7-IA scores in all groups of patients by Week 52. Conclusion: In children with uncontrolled, moderate-to-severe asthma with a type 2 phenotype, dupilumab consistently reduced the risk of asthma exacerbations, improved lung function, and reduced ACQ-7-IA scores, regardless of exacerbation history.
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Background: Longitudinal predictors of persistent poor asthma control in severe asthma (SA) cohort remain scarce. The predictive value of the asthma severity scoring system (ASSESS) in the SA cohort outside the original study and in the Asian population is unknown. Objective: We sought to determine the 5-year longitudinal outcome of patients with SA and validate the use of ASSESS score in predicting future outcomes in SA. Methods: A prospective longitudinal observational study of patients with SA attending the multidisciplinary specialist SA clinic of the Singapore General Hospital from 2011 to 2021 was conducted. The number of exacerbations and asthma control test results were recorded yearly for 5 consecutive years. The ASSESS score was computed at baseline, and the area under the receiver-operating characteristic curve for predicting persistent poor asthma control was generated. Results: Of the 489 patients recruited into the study, 306 patients with 5-year follow-up data were analyzed. Seventy-three percent had type 2 inflammation with increased overall exacerbations over 5 years (rate ratio, 2.55; 95% CI, 1.31-4.96; P = .006) relative to non-type 2 SA. In the multivariate model, bronchiectasis, gastroesophageal reflux disease, and an asthma control test score of less than 20 were significantly associated with persistent poor asthma control over 5 years. ASSESS scores were good at predicting persistent poor asthma control with an area under the receiver-operating characteristic curve of 0.71 (95% CI, 0.57-0.84). Conclusions: Bronchiectasis and gastroesophageal reflux disease are predictors for persistent poor asthma control and targeted traits for precision medicine in SA. The ASSESS score has a good prediction for persistent poor asthma control over 5 years.