UNASSIGNED: This study aimed to evaluate the effect of mothers\' knowledge about asthma management on quality of life and asthma control among children with asthma in Palestine.
UNASSIGNED: This cross-sectional study was carried out by mothers of children with asthma in Palestine in four major public hospitals. Mothers of a total of 220 were selected randomly via a computerized system. Data were collected using Pediatric Asthma Quality of Life (PAQLQ), an Asthma Control Test (ACT), and the mothers\' Self-Practices and Knowledge (SPK) of asthma management questionnaire. Statistical analysis was performed using SPSS (V25).
UNASSIGNED: A total of 220 mothers of children with asthma were randomly selected and invited to participate but 182 agreed to participate, with a response rate of 83%. The mean age of participant children was 9.7 ± 2.72 years, and the mean age of mothers was 34.5 ± 9.6 years. The mean score of the QoL was 3.91(SD ± 1.61) out of 7. Most participant children had uncontrolled asthma with a total mean score of 14.13(SD ± 5.23) on the ACT. The mean score of mothers\' SPK level was 2.12(SD ± 0.83) with a total mean score of 42.13 ± 3.68 out of 68, which indicated a moderate level of knowledge and there was a strong correlation between mothers\' SPK and children\'s QoL.
UNASSIGNED: The investigation showed that mothers of children with asthma had moderate SPK, and the children had uncontrolled asthma with poor QoL. These findings suggest developing educational initiatives to enhance parents\' asthma-related knowledge and skills to improve their children\'s asthma-related quality of life and asthma control.

BACKGROUND: Dysfunctional breathing (DB) is a major asthma comorbidity; however, it is not well recognized in Japan. Moreover, it has rarely been reported in the asthma population, and its clinical characteristics are unclear. We aimed to clarify the clinical characteristics of DB as a comorbidity in patients with asthma in Japan. Questionnaire surveys were conducted among patients with asthma at medical facilities in three regions of Japan (Niigata, Kumamoto, and Tokyo).
METHODS: This cross-sectional questionnaire survey targeting patients with asthma who had regularly visited medical institutions and their doctors was conducted from September to November 2021. The questionnaire addressed the control status and method of treatment. The diagnosis of DB was evaluated using the Nijmegen questionnaire (NQ).
RESULTS: There were 2087 eligible participants. Based on their NQ scores, 217 patients were classified into the DB group (NQ ≥ 19). There were significant differences with respect to sex, disease duration, Asthma Control Test (ACT) scores, Patient Health Questionnaire-9 (PHQ-9) scores, type-2 biomarkers, pulmonary function indices, treatment methods, severity, and asthma exacerbations in the previous year between the DB and non-DB groups. In the multivariate analysis, there were significant differences in sex, disease duration (≥15 y), ACT scores (<20), and PHQ-9 scores (≥10). The cluster analysis of cases with DB classified the population into four clusters.
CONCLUSIONS: The asthma population with DB exhibited several characteristics, including depression and poorly controlled asthma. Further large-scale interventional investigations with longer follow-up periods are necessary to verify these findings.

BACKGROUND: Breathing and aerobic exercises are the most recommended nonpharmacological treatments to improve asthma control and quality of life in patients with asthma. However, the benefits of combining both interventions in these outcomes have never been tested.
OBJECTIVE: We aimed to evaluate the effects of the combination of aerobic and breathing exercises on asthma control in individuals with moderate-to-severe asthma.
METHODS: Individuals with moderate-to-severe asthma were randomly assigned to the aerobic + muscle-stretching group (Control group (CG), n=25) or aerobic + breathing exercises group (Experimental group (EG), n=26). The aerobic exercise was performed using constant-load training and breathing exercises using the Buteyko technique. The training program lasted 20 sessions. All individuals were blindly assessed before and after the interventions for asthma control, health-related quality of life, anxiety and depression symptoms, sleep quality, hyperventilation, exercise capacity, lung function, levels of physical activity, and thoracoabdominal kinematics. Group x time interactions were tested using a two-way repeated measures analysis of variance. Pearson\'s correlation test was used to test the association between outcomes.
RESULTS: The groups were similar at baseline (all p>0.05). After the intervention, there were no between-group differences for all outcomes comparing EG and CG.
CONCLUSIONS: These results suggest that a combination of aerobic and breathing exercises did not improve asthma control, psychosocial symptoms, sleep quality, hyperventilation, exercise capacity, lung function, levels of daily physical or thoracoabdominal kinematics compared with aerobic exercise alone in individuals with moderate-to-severe asthma.
BACKGROUND: ClinicalTrials.gov, NCT04412720.

BACKGROUND: In phase 3 VOYAGE (NCT02948959), dupilumab showed clinical efficacy with an acceptable safety profile in children (6-11 years) with uncontrolled, moderate-to-severe type 2 asthma (blood eosinophils ≥150 cells/μL or fractional exhaled nitric oxide ≥20 ppb).
OBJECTIVE: We analyzed dupilumab\'s efficacy in children with type 2 asthma by high- or medium-dose inhaled corticosteroids (ICS) at baseline.
METHODS: Children were randomized to receive add-on dupilumab 100/200 mg (by body-weight ≤30 kg/>30 kg) every 2 weeks or placebo for 52 weeks and stratified by high- or medium-dose ICS at baseline. Endpoints were annualized severe exacerbation rate, changes from baseline in percent-predicted forced expiratory volume in 1 second (ppFEV1) and 7-item Asthma Control Questionnaire - Interviewer Administered (ACQ-7-IA) score, proportions of ACQ-7-IA responders (improvement ≥0.5), and biomarker changes.
RESULTS: In children receiving high- (n = 152) or medium- (n = 195) dose ICS at baseline, dupilumab versus placebo reduced severe exacerbation rates by 63% (P < .001) and 59% (P = .003), respectively. At week 52, dupilumab improved ppFEV1 by least squares mean difference versus placebo of 5.7 percentage points (P = .02) and 9.35 points (P < .001), and reduced ACQ-7-IA scores by 0.53 points (P < .001) and 0.40 points (P < .001), respectively. No significant treatment interactions between ICS subgroups were detected at week 52. Significant improvements were observed in ACQ-7-IA responder rates and most type 2 biomarker levels.
CONCLUSIONS: Dupilumab reduced severe exacerbation rates and improved lung function and asthma control in children with uncontrolled, moderate-to-severe type 2 asthma, regardless of ICS dose at baseline.

Asthma is a prevalent chronic disease, contributing significantly to the global burden of disease and economic costs. Despite advances in treatment, inadequate disease management and reliance on reliever medications lead to preventable deaths. Telemedicine, defined as the use of information and communication technology to improve healthcare access, has gained global attention, especially during the COVID-19 pandemic. This systematic review examines the effectiveness of home monitoring systems in managing severe asthma. A systematic literature search was conducted in PubMed, Web of Science, Scopus, and Cochrane Library, focusing on studies from 2014 to 2024. Fourteen studies involving 9093 patients were analyzed. The results indicate that telemedicine, through tools such as mobile applications and portable spirometers, positively impacts asthma control, self-management, and quality of life. Home spirometry, in particular, shows strong agreement with clinic spirometry, offering a feasible alternative for continuous monitoring. Digital coaching and machine learning-based telemedicine applications also demonstrate significant potential in improving asthma outcomes. However, challenges such as technology accessibility, data privacy, and the need for standardized protocols remain. This review highlights the promise of telemedicine in asthma management and calls for further research to optimize its implementation and address existing barriers.

UNASSIGNED: Aging implies changes in terms of lung function, immune system, and respiratory and extra-respiratory comorbidities. Few studies have specifically addressed the relevance of age on severe asthma burden and control. We aimed to evaluate whether age acts as an independent determinant of asthma severity, in terms of clinical, functional, and inflammatory profile, and to explore potential cofactors that contribute to a more difficult disease control in different age groups.
UNASSIGNED: Patients from Severe Asthma Network Italy (SANI) registry were retrospectively divided in subgroups according to their age. Cutoffs for age were established according to quartiles in order to obtain a comparable number of patients for each group, and then rounded for the sake of simplicity.
UNASSIGNED: Overall, 1805 severe asthma patients were analyzed. Lung function represented the most important age-related variable. On the opposite the level of asthma control was not differently distributed among age ranges. In young people the presence of atopy-related comorbidities (allergic rhinitis, atopic dermatitis) predominated, whilst systemic-metabolic and degenerative comorbidities such as diabetes, cardiovascular diseases, anxious-depressive syndrome, and osteoporosis prevailed in elderly. Bronchiectasis and sleep disturbances were significantly associated with age.
UNASSIGNED: Despite that it cannot be considered a treatable trait, our study suggests that age should be evaluated within a personalized approach to severe asthma patients, in order to provide a better clinical profiling and a more tailored treatment strategy.

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BACKGROUND: Small airway dysfunction not only affects asthma control, but also has adverse effects on the psychological and/or social activities of asthma patients. However, few long-term observational studies have explored the complex relationship between small airway dysfunction and asthma control and health-related quality of life in patients with asthma exacerbations.
METHODS: The study recruited 223 patients with exacerbations of asthma (i.e. those with at least one asthma attack over the past year) and 228 patients without exacerbations of asthma (i.e. those without asthma attacks over the past year). We evaluated SAD in patients with asthma exacerbations using impulse oscillometry method. At each evaluation time point within one year of follow-up, the attending physician conducts a case investigation of the patients. We analyzed the correlation between SAD and general characteristics (age, obesity, smoking history), type 2 inflammation (blood eosinophils, exhaled nitric oxide), FEV1, as well as asthma control (ACT) and health-related quality of life (mini-AQLQ) in patients with asthma exacerbations, and constructed a structural equation model to evaluate the causality of these clinical variables.
RESULTS: The SAD prevalence in patients with asthma exacerbation is as high as 75%. SAD is connected with poor asthma control and poor health-related quality of life. The structural equation model indicates that age, obesity, FeNO, and FEV1 are independent predictive factors of SAD. SAD is the main determinant factor of asthma control, which in turn affected health-related quality of life. FEV1 and age directly affect asthma control and affect health-related quality of life through asthma control. In addition, there is a bidirectional relationship between FEV1 and small airway dysfunction and between asthma control and health-related quality of life.
CONCLUSIONS: Small airways are involved from an early stage in asthma. Abnormal function of the small airways can significantly increase airway resistance in asthma patients, while worsening their clinical symptoms. In addition, aging is also a key risk factor for asthma control. Especially, small airway dysfunction links asthma control with health-related quality of life.

BACKGROUND: Immune-based therapy targeting immunoglobulin E (IgE), anti-IgE treatment, has emerged as an adjunct treatment for children with severe allergic asthma. After start of anti-IgE treatment, an effect of the treatment cannot be monitored by Total-IgE, because current methods measure both bound and free IgE molecules. Basophil activation test may be very useful for monitoring anti-IgE treatment efficacy. The objective of this paper is to evaluate if basophil activation test is applicable in regulating the anti-IgE treatment.
METHODS: A case series of 20 children with IgE-mediated severe allergic asthma were treated according to guidelines with anti-IgE (Omalizumab). Blood samples were drawn for total IgE, specific IgE, number of IgE receptors (FcεRI) and basophil sensitivity were measured at baseline before anti-IgE treatment and 4 months after initiation of anti-IgE treatment.
RESULTS: A total of 19 out of 20 children had statistically significant and clinically relevant effects of anti-IgE treatment on symptom score, lung function and medication. All 20 children had a significant reduction in basophil allergen sensitivity and the number of IgE receptors (FcεRI) on blood basophils. Anti-IgE treatment was found to be well controlled by measuring basophil allergen sensitivity and FceRI density on blood basophils.
CONCLUSIONS: This cohort study demonstrates a promising method, measuring basophil allergen sensitivity and in particular blood basophil FceRI density, concerning the monitoring of anti-IgE treatment in different clinical situations. There are no randomized controlled trials evaluating this method in clinical settings.

UNASSIGNED: The individualized PREdiction of DIsease Control using digital sensor Technology (iPREDICT) program was developed for asthma management using digital technology. Devices were integrated into daily lives of patients to establish a predictive model of asthma control by measuring changes from baseline health status with minimal device burden.
UNASSIGNED: To establish baseline disease characteristics of the study participants, detect changes from baseline associated with asthma events, and evaluate algorithms capable of identifying triggers and predicting asthma control changes from baseline data. Patient experience and compliance with the devices were also explored.
UNASSIGNED: This was a multicenter, observational, 24-week, proof-of-concept study conducted in the United States.
UNASSIGNED: Patients (⩾12 years) with severe, uncontrolled asthma engaged with a spirometer, vital sign monitor, sleep monitor, connected inhaler devices, and two mobile applications with embedded patient-reported outcome (PRO) questionnaires. Prospective data were linked to data from electronic health records and transmitted to a secure platform to develop predictive algorithms. The primary endpoint was an asthma event: symptom worsening logged by patients (PRO); peak expiratory flow (PEF) < 65% or forced expiratory volume in 1 s < 80%; increased short-acting β2-agonist (SABA) use (>8 puffs/24 h or >4 puffs/day/48 h). For each endpoint, predictive models were constructed at population, subgroup, and individual levels.
UNASSIGNED: Overall, 108 patients were selected: 66 (61.1%) completed and 42 (38.9%) were excluded for failure to respond/missing data. Predictive accuracy depended on endpoint selection. Population-level models achieved low accuracy in predicting endpoints such as PEF < 65%. Subgroups related to specific allergies, asthma triggers, asthma types, and exacerbation treatments demonstrated high accuracy, with the most accurate, predictive endpoint being >4 SABA puffs/day/48 h. Individual models, constructed for patients with high endpoint overlap, exhibited significant predictive accuracy, especially for PEF < 65% and >4 SABA puffs/day/48 h.
UNASSIGNED: This multidimensional dataset enabled population-, subgroup-, and individual-level analyses, providing proof-of-concept evidence for development of predictive models of fluctuating asthma control.