View clinical trials related to Asthma in Children.
Filter by:This is a prospective, observational study to investigate the agreement of the Leo device signal derivation with gold standard asthmatic testing in recently exacerbated asthmatic children. This study is designed for engineering validation of a wireless, wearable device (Leo) for assessing clinical control of children recovering from acute respiratory event such as asthma attack. The Leo device will monitor chest impedance, ECG and body position to calculate parameters such as respiration rate, heart rate, lung volume, tidal breathing flow and volume curves, and body position. These parameters will then be used to train and algorithm to assess clinical control of asthma.
Asthma is a common pediatric condition that can be well controlled with regular use of controller medications, however adherence to these is low, resulting in preventable exacerbations and important short- and long-term morbidity. This project's aim is to understand cognitive factors influencing adherence to medication among children with asthma, examining specifically the influence of scarcity (a mindset experienced by those with less than they need, which is cognitively taxing) and future discounting (the focus on present concerns at the expense of distant ones). Using a single-centre, 12-month, prospective observation cohort study of 300 families of children with asthma, the objectives of this study are to: 1. Identify the relationship between scarcity, future discounting, and adherence to asthma medication. 2. Evaluate whether unmet social needs are associated with scarcity and future discounting. 3. Determine whether scarcity and future discounting mediate the relationship between unmet social needs and adherence to medication. Primary outcome will be adherence to controller medication, which will be measured for the 12 months of follow-up on a scale of 0 to 100%, by the 'proportion of prescribed days covered (PPDC)', a validated index calculated as the number of days for which the drug was dispensed by a pharmacy, divided by the number of days for which it was prescribed. Other measures include screening families for unmet social needs, psychometric testing to document scarcity and future discounting. This study will increase our understanding of how cognitive factors influence adherence to asthma controller medication, which will be instrumental in developing targeted interventions to improve adherence, especially for families experiencing with unmet social needs.
Childhood asthma is the most common chronic respiratory disease in childhood. The essence of asthma is chronic airway inflammation and airway hyperresponsiveness.The physiological characteristics of children and adults are very different, and the compensatory ability is very strong. There are often no obvious symptoms at the early stage of attack, or only intermittent or persistent cough of different degrees, without typical chest tightness and asthma.However, at this time, certain physiological indicators such as blood oxygen, heart rate, respiratory rate may have been significantly abnormal.If the disease continues to deteriorate and progresses to decompensation, it can quickly move from an asymptomatic state to a failure stage.Therefore, dynamic and accurate acquisition of real-time vital signs and assessment is of great significance for early warning and improvement of prognosis of asthma attacks in children.Intelligent wearable devices can be used to acquire real-time physiological index data of users, such as heart rate, blood oxygen, exercise and sleep dynamic data.An in-depth analysis of long-term and multi-scene dynamic data before and after asthma attacks can establish an early warning model for children with acute asthma attacks by wearable wrist smart devices, which may provide important help for severity assessment, follow-up tracking and out-of-hospital prevention and control of the disease.
The prevalence of asthma in preschool children is between 11 and12%. Inhaled corticosteroid therapy is the main therapy used, however this treatment seems insufficiently effective in some children. Recent research in cystic fibrosis has made it possible to highlight pulmotypes corresponding to the different stages of pulmonary dysbiosis, and a predictive microbiological signature of an increased risk of early primocolonization to P. aeruginosa. These pulmotypes are the result of the so-called "enterotyping" analysis, a biostatistical method that makes it possible to stratify individuals according to the analysis of the microbiota. In the light of these data, it seems interesting to transcribe the concept of using a biomarker of the microbiota in the monitoring of a chronic lung disease such as asthma. The hypothesis is that there is respiratory dysbiosis causing corticosteroid resistance to treatment in children under 3 years of age with severe asthma.
Single-center, case-control, longitudinal, observational, population based cohort study with stratified sample (by age group, gender, and residential area).
Artificial intelligence (AI) offers substantial opportunities for healthcare, supporting better diagnosis, treatment, prevention and personalized care. Analysis of health images is one of the most promising fields for applying AI in healthcare, contributing to better prediction, diagnosis and treatment of diseases. Deep learning (DL) is currently one of the most powerful machine learning techniques. DL algorithms are able to learn from raw (or with little pre-processing) input data and build by themselves sophisticated abstract feature representations (useful patterns) that enable very accurate task decision making. Recently, DL has shown promising results in assisting lung disease analysis using computed tomography (CT) images. Current severe asthma guidelines recommend high-resolution and multidetector CT as a tool for disease evaluation. CT scans contain prognostic information, as the presence of bronchial wall thickening, air trapping, bronchial luminal narrowing, and bronchiectasis are associated with longer disease duration and disease severity in adults. Only a small number of studies have reported chest CT findings in children with severe asthma, and their relationship to clinical and pathobiological parameters yielded inconsistent results. Thus, to which extent CT scans add prognostic information beyond what can be inferred from clinical and biological data is still unresolved in children. The project is expected to build an DL-severity score to prognoses severe evolution for children with asthma, using a DL model to capture CT scan prognosis information.
The goal of this research study is to compare the impact of video directly observed therapy on inhaler technique accuracy with participants receiving video directly observed therapy vs. participants receiving standard asthma care. Participants will be randomized between the two groups. We will follow up and compare the two groups to see if they have improved asthma control as measured by symptom-free days, higher inhaler technique at 3-month follow up, higher checklist scores on a standardized inhaler technique checklist, higher proportion of days covered (PDC) of their inhaled asthma controller medication, and have fewer acute care visits for asthma.
Uncontrolled asthma in school-aged children is a significant public health problem. Latino children living in low-income contexts are at increased risk for uncontrolled asthma compared to non-Latino white children, and stress is an unaddressed factor in this disparity. Therefore, the purpose of the current study is to test an intervention program that teaches families skills to cope with asthma-related and other sources of stress. Specifically, the study will compare the effects of the combined coping skills + asthma management program with a standard asthma management program in 280 families of Latino children with asthma. The study will also look at why the program may have an effect, and specifically whether the program impacts child coping, parent coping, or family asthma management behaviors. The main hypothesis is that the combined coping skills + asthma management program will improve asthma outcomes more than the standard asthma management program.
To investigate whether high-dose vitamin D supplementation may have a beneficial effect on secondary prevention in preschool children (1-5 years of age), with respiratory infections being the primary cause of acute exacerbations with asthma-like symptoms.
Despite a strong evidence-base for the efficacy of multilevel programs in reducing asthma symptoms among low-income preschool minority children, gaps remain in our understanding of how to best translate and scale up these efficacious interventions into sustainable programs that reduce known asthma health disparities. Head Start (HS) serves over one million low income children in the US each year by focusing on early learning, physical health, and family engagement. HS is committed to implementing evidence based programs to promote overall child well-being, and is focused on addressing asthma symptoms due to the deleterious impact on school absences and child development. We have demonstrated the effectiveness of a multi-level staff and family education program (ABC Asthma) that significantly reduced asthma symptoms and courses of oral corticosteroids. However, these interventions are not successfully integrated within community organizations for long-term sustainability. It is unknown how to best scale up and implement these evidence based asthma interventions into low resource community organizations that serve children at risk. Implementation strategies are frequently developed atheoretically and may not be tailored to the setting. The overall purpose of this project is to inform best practices of implementation of an asthma education program by 1) systematically evaluating the use of intervention mapping to develop a tailored implementation strategy in partnership with Head Start stakeholders, 2) examining both staff and organizational level determinants associated with implementation of ABC Asthma, and 3) evaluating the success of tailored implementation strategies on implementation outcomes and school absences and other health outcomes. The YMCA of Central Maryland have enthusiastically agreed to implement the Maryland ABC HS Asthma within 40 sites in four communities: Baltimore City, Baltimore County, Anne Arundel County, and Prince George's County.