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.

UNASSIGNED: Effective asthma management relies on individuals\' knowledge, inhaler technique, and perceptions of asthma and medications. Investigating barriers and enablers to optimal asthma management is vital. This research pursues a comprehensive understanding of asthma control, asthma-related experiences, perceptions, inhaler technique, and knowledge among Arabic-speaking Middle Eastern migrants and refugees living in Australia. Furthermore, it aims to explore the factors influencing optimal asthma management within this demographic.
UNASSIGNED: This study involved interviews with 17 participants, with nine identified as migrants and eight as refugees. All participants were Arabic-speaking Middle Eastern individuals residing in Australia and diagnosed with asthma. Interviews were thematically analysed, and findings were presented following the guidelines of the consolidated criteria for reporting qualitative research (COREQ).
UNASSIGNED: The thematic analysis yielded five key themes: (1) asthma experiences; (2) participant perspectives on asthma; (3) asthma management; (4) asthma health literacy; and (5) strategies to overcome obstacles in asthma management. Some disparities were noted between refugees and migrants in terms of their comprehension and views on asthma, medications use, interactions with healthcare providers, and inhaler technique. Refugees experienced more psychological distress and lacked social support, while migrants were more concerned about long-term medication use and preferred specialised care.
UNASSIGNED: This research addresses a knowledge gap concerning asthma control among Middle Eastern immigrants. It provides insights into their beliefs and medication adherence. It underscores the importance of considering the unique characteristics of Middle Eastern migrants and refugees when delivering healthcare interventions to enhance overall health and medication adherence within these populations. To address these differences, the study recommends tailored education, specialised clinics, and culturally relevant asthma management plans to enhance self-management support for both groups. Future studies should explore the impact of modifying beliefs, attitudes, and knowledge regarding medications and asthma to enhance asthma management within this population.

UNASSIGNED: In Japan, the optimal initiation timing and efficacy of single-inhaler triple therapy (SITT) in asthma management remain unexplored. This study investigated SITT initiation timing following an asthma exacerbation, and examined patient demographics and clinical characteristics.
UNASSIGNED: Observational, retrospective cohort study in patients with asthma aged ≥15 years who initiated SITT following their earliest observed asthma exacerbation (February-November 2021), using data from Japanese health insurance claims databases (JMDC and Medical Data Vision [MDV]). The study period ended May 2022 for JMDC and September 2022 for MDV. Descriptive analyses were performed independently by database. Variables evaluated included timing of SITT initiation post exacerbation (prompt, delayed and late, ≤30, 31-180 and >180 days post index, respectively), patient demographics, clinical characteristics, and pre-index treatment.
UNASSIGNED: Of patients in the JMDC and MDV databases, most initiated SITT promptly after an asthma exacerbation, 60.8% (n = 951/1565) and 44.4% (n = 241/543), respectively. Delayed initiation occurred in 22.6% (n = 354/1565) and 26.3% (n = 143/543) of patients, and late initiation occurred in 16.6% (n = 260/1565) and 29.3% (n = 159/543), respectively. Most patients were indexed on a moderate asthma-related exacerbation, 97.1% (n = 1519/1565) and 68.7% (n = 373/543), respectively.
UNASSIGNED: Most patients with asthma initiated SITT promptly following a moderate exacerbation, with delayed and late initiation more common among patients with complex clinical profiles. The findings underscore the necessity for future research to examine the interaction between patient characteristics, clinical outcomes, and the timing of SITT initiation to optimize treatment strategies, as clinical practice may vary by exacerbation severity.

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.

Recent advancements in asthma management include non-invasive methodologies such as sputum analysis, exhaled breath condensate (EBC), and fractional exhaled nitric oxide (FeNO). These techniques offer a means to assess airway inflammation, a critical feature of asthma, without invasive procedures. Sputum analysis provides detailed insights into airway inflammation patterns and cellular composition, guiding personalized treatment strategies. EBC collection, reflecting bronchoalveolar lining fluid composition, provides a non-invasive window into airway physiology. FeNO emerges as a pivotal biomarker, offering insights into eosinophilic airway inflammation and aiding in asthma diagnosis, treatment monitoring, and the prediction of exacerbation risks. Despite inherent limitations, each method offers valuable tools for a more comprehensive assessment of asthma. Combining these techniques with traditional methods like spirometry may lead to more personalized treatment plans and improved patient outcomes. Future research is crucial to refine protocols, validate biomarkers, and establish comprehensive guidelines in order to enhance asthma management with tailored therapeutic strategies and improved patient outcomes.

BACKGROUND: The integration of machine learning (ML) in predicting asthma-related outcomes in children presents a novel approach in pediatric health care.
OBJECTIVE: This scoping review aims to analyze studies published since 2019, focusing on ML algorithms, their applications, and predictive performances.
METHODS: We searched Ovid MEDLINE ALL and Embase on Ovid, the Cochrane Library (Wiley), CINAHL (EBSCO), and Web of Science (core collection). The search covered the period from January 1, 2019, to July 18, 2023. Studies applying ML models in predicting asthma-related outcomes in children aged <18 years were included. Covidence was used for citation management, and the risk of bias was assessed using the Prediction Model Risk of Bias Assessment Tool.
RESULTS: From 1231 initial articles, 15 met our inclusion criteria. The sample size ranged from 74 to 87,413 patients. Most studies used multiple ML techniques, with logistic regression (n=7, 47%) and random forests (n=6, 40%) being the most common. Key outcomes included predicting asthma exacerbations, classifying asthma phenotypes, predicting asthma diagnoses, and identifying potential risk factors. For predicting exacerbations, recurrent neural networks and XGBoost showed high performance, with XGBoost achieving an area under the receiver operating characteristic curve (AUROC) of 0.76. In classifying asthma phenotypes, support vector machines were highly effective, achieving an AUROC of 0.79. For diagnosis prediction, artificial neural networks outperformed logistic regression, with an AUROC of 0.63. To identify risk factors focused on symptom severity and lung function, random forests achieved an AUROC of 0.88. Sound-based studies distinguished wheezing from nonwheezing and asthmatic from normal coughs. The risk of bias assessment revealed that most studies (n=8, 53%) exhibited low to moderate risk, ensuring a reasonable level of confidence in the findings. Common limitations across studies included data quality issues, sample size constraints, and interpretability concerns.
CONCLUSIONS: This review highlights the diverse application of ML in predicting pediatric asthma outcomes, with each model offering unique strengths and challenges. Future research should address data quality, increase sample sizes, and enhance model interpretability to optimize ML utility in clinical settings for pediatric asthma management.

The integration of pulmonary health and maternal care is critical for ensuring optimal respiratory outcomes for both mothers and their infants. Pregnancy induces significant physiological changes in the respiratory system, increasing the risk of pulmonary complications and exacerbating conditions such as asthma. This editorial emphasizes the necessity for collaborative care between pulmonologists and midwives to manage these challenges effectively. By working together, healthcare providers can develop comprehensive care plans that address potential respiratory issues early, monitor and manage chronic conditions, and provide vigilant postpartum care. Enhanced education and interdisciplinary training for both professions are essential for bridging the gaps in care and improving maternal and neonatal health outcomes. This integrated approach is supported by research demonstrating the benefits of coordinated care models in reducing complications and promoting better health outcomes.

Catamenial asthma, marked by cyclical exacerbations of symptoms linked to the menstrual cycle, poses distinctive diagnostic and therapeutic challenges. This report discusses a 34-year-old woman who experienced significant asthma flare-ups 3-5 days before menstruation, as confirmed by spirometry (forced expiratory volume in one second (FEV1) dropped from 2.5 to 1.75 liters). Despite adhering to standard asthma treatments, her symptoms remained poorly controlled during these periods. A comprehensive management plan encompassing inhaled corticosteroids, short-acting beta-agonists, montelukast, and oral contraceptives, along with lifestyle modifications and patient education, led to a significant improvement in FEV1 and reduced symptom severity. This case underscores the need for personalized treatment strategies that take hormonal influences into account, suggesting that integrating hormonal therapies with conventional asthma management can yield significant benefits.

OBJECTIVE: Despite the availability of biologics for severe pediatric asthma, real-life studies reporting on drivers behind initiating biologics and their alignment with the Global Initiative for Asthma (GINA) recommendations are lacking.
METHODS: We performed analysis within the pediatric asthma noninvasive diagnostic approaches study, a prospective cohort of 6- to 17-year-old children with severe asthma. Information was collected on demographic factors, symptom control, treatment, comorbidities, and diagnostic tests from medical records and questionnaires. We divided patients into \"starters\" or \"nonstarters\" based on the clinical decision to initiate biologics and performed multivariate logistic regression analysis to identify drivers behind initiating therapy. Additionally, we assessed patient suitability for biologics according to key factors in the GINA recommendations: Type 2 inflammation, frequency of exacerbations, and optimization of treatment adherence.
RESULTS: In total, 72 children (mean age 11.5 ± 3.0 years, 65.3% male) were included (13 starters). Initiation of biologics was associated with a higher GINA treatment step (adjusted odds ratio\'s [aOR] = 5.0, 95%CI 1.33-18.76), steroid toxicity (aOR = 21.1, 95%CI 3.73-119.91), frequency of exacerbations (aOR = 1.6, 95%CI 1.10-2.39), improved therapy adherence (aOR = 1.7, 95%CI 1.10-2.46), Caucasian ethnicity (aOR = 0.20, 95%CI 0.05-0.80), ≥1 allergic sensitization (aOR = 0.06, 95%CI 0.004-0.97), and allergic rhinitis (aOR = 0.13, 95%CI 0.03-0.65). Furthermore, steroid toxicity was identified as an important factor for deviation from the current recommendations on biologic prescription.
CONCLUSIONS: We identified multiple drivers and inhibitors for initiating biologics, and showed the clinical need for biologics in severe pediatric asthmatics suffering from steroid toxicity. These findings may help refine asthma management guidelines.

Asthma, a prevalent chronic respiratory condition characterized by inflammation of the airways and bronchoconstriction, has demonstrated a potential association with hemoglobinopathies such as thalassemia and sickle cell disease (SCD). Numerous studies have highlighted a higher prevalence of asthma among thalassemia patients compared to the general population, with rates ranging around 30%. Similarly, asthma frequently coexists with SCD, affecting approximately 20-48% of patients. Children with SCD often experience heightened lower airway obstruction and airway hyper-reactivity. Notably, the presence of asthma in SCD exacerbates respiratory symptoms and increases the risk of severe complications like acute chest syndrome, stroke, vaso-occlusive episodes, and early mortality. Several studies have noted a decrease in various cytokines such as IFN-γ and IL-10, along with higher levels of both IL-6 and IL-8, suggesting an overactivation of pro-inflammatory mechanisms in patients with hemoglobinopathies, which could trigger inflammatory conditions such as asthma. The exact mechanisms driving this association are better elucidated but may involve factors such as chronic inflammation, oxidative stress, and immune dysregulation associated with thalassemia-related complications like chronic hemolytic anemia and iron overload. This review aims to comprehensively analyze the relationship between asthma and hemoglobinopathies, with a focus on thalassemia and SCD. It emphasizes the importance of interdisciplinary collaboration among pulmonologists, hematologists, and other healthcare professionals to effectively manage this complex interplay. Understanding this link is crucial for improving care and outcomes in affected individuals.