View clinical trials related to Severe Asthma.
Filter by:The study aims to to use new technologies (ML, AI, NLP), to autonomously identify moderate to severe asthma populations within an EHR system, describe differences in treatment patterns across different populations, and determine trial eligibility. Primary Objectives Please ensure you detail primary objectives Aim 1. Determine and validate a diagnosis of severe asthma (SA) using predictive features obtained from the Scripps Health EHR. - Aim 1a: Use ML applied to structured EHR data to predict SA. Use the opinion of 2 specialty-trained physicians and ATS guidelines to determine model accuracy. - Aim 1b: Use NLP applied to unstructured text to predict SA. Determine model accuracy as above in Aim 1a. - Aim 1c: Use a combination of ML applied to structured data to predict SA. Determine model accuracy as above in Aim 1a.
This study aims to generate real-world data on the characteristics of patients receiving benralizumab to assess early PRO parameters as well as long-term treatment effects in the Gulf cooperative council (Kingdom of Saudi Arabia, Kuwait, United Arab Emirates, Oman, and Qatar), Latin America (Brazil, Argentina, and Colombia), and India. It is anticipated that the data generated will provide practical, patient-focused real-world evidence and enhance communications between patients and physicians in an objective and structured manner to ensure better disease control in patients under benralizumab treatment.
Interleukin (IL)-5 is the main cytokine responsible for the activation of eosinophils, hence therapeutic strategies have been investigated and developed for clinical use. Biologics targeting IL-5 and its receptor (first mepolizumab and subsequently, reslizumab and benralizumab), have been recently approved and used as add-on therapy for severe eosinophilic asthma resulting in a reduction in the circulating eosinophil count, improvement in lung function and exacerbation reduction in patients with severe asthma. Response to biologic therapies in severe asthma is variable, with patients being either non-responders, responders or super-responders. There is currently no explanation for this broad variation in response. It is important to examine whether these patients have distinct characteristics that could help the treating physician in making the correct diagnosis in clinical practice. Aim of this clinical study is to evaluate the efficacy of mepolizumab, a humanized IL-5 antagonist monoclonal antibody in patients with late-onset severe eosinophilic asthma with fixed obstruction and to identify the characteristics of non-responders and super-responders under mepolizumab treatment. This study is considered as non-interventional and every procedure included is happening in a clinical routine for the diagnosis and phenotyping of the asthmatic patients. Hypothesis includes the efficacy of mepolizumab treatment in late-onset severe eosinophilic asthmatic patients with fixed obstruction and relation to clinical and inflammatory biomarkers. Patients will be collected from the outpatient clinics of bronchial asthma from each site included (8 in number) which cover the whole population of Greece. Overall, this is a prospective multicenter study including eight Pulmonary Clinics. Five Pulmonary University Clinics, two of National Health System and one Army General Hospital in Thessaloniki. The study will include a screening period of up to 2 weeks to assess eligibility and obtain written informed consent, a mepolizumab treatment period of 52 weeks, once every 4 weeks, including follow up visits every 3 months during treatment. The study population will consist of 45 patients with late-onset severe eosinophilic asthma and fixed obstruction receiving mepolizumab, aged 20 and above.
This study evaluates the longterm clinical outcomes, including safety and efficacy parameters after Bronchial Thermoplasty (BT) treatment over a period of 5 years. All patients included in de TASMA trial in the Netherlands will be asked to participate in the TASMA extension study.
The purpose of this prospective study is: - to identify by cluster analysis the main phenotypes of severe asthma and factors involved in the severity, - to determine the clinical and functional outcomes, - to identify the factors associated with severe asthma from childhood to adulthood.
Asthma is the most common chronic respiratory disorder in children. Despite significant advances in understanding of asthma, available therapies fail to alter the natural history and progression of the disease. Airway epithelial cells are continuously exposed to and injured by environmental irritants, such as viruses and pollutants, and as such are ideally situated to orchestrate airway function in response to these stimuli. Severe or difficult-to-treat asthma in children is a complicated disorder characterized by ongoing symptoms and persistent airway inflammation and oxidant stress despite corticosteroid treatment. Although severe asthma is likely a heterogeneous disorder, affected children similar clinical features, including gas trapping, bronchial hyperresponsiveness, and aeroallergen sensitization. However, the molecular and cellular pattern of inflammation in children with severe asthma are not uniform : some investigators have found increased eosinophils and TH2 derived cytokines, others have noted noneosinophilic patterns with neutrophil activation. Given the heterogeneity of the inflammatory response in children with severe asthma, additional methods to distinguish severe asthma are needed.