View clinical trials related to Asthma Exacerbation.
Filter by:Aim is to to demonstrate that the ResAppDx v2.0 algorithms provide an accurate diagnosis of respiratory disease in the study's clinical setting compared to a clinical adjudication committee's (CAC) diagnosis; and to establish a baseline for the resource use and cost of current care pathways for respiratory disease diagnosis in an emergency department. Eligible subjects will be consented/enrolled and their subject reported signs/symptoms of respiratory disease will be recorded in the study electronic case report form (eCRF). The enrolled subject's cough sounds will be captured (5 cough sounds are required) using the ResAppDx v2.0 Investigational Device (ID) software installed on a study smartphone; cough sounds may be voluntary and/or involuntary/spontaneous. As this is an observational study the treating team will be blinded to the ResAppDx v2.0 diagnoses. Additional medical information will be collected from the treating team, from the subject and from the subject's medical record. No follow-up/subsequent visits with the subject will be required by the study. As an efficacy comparator, a clinical adjudication committee (CAC) will determine the final clinical diagnosis using the disease case definitions, eCRF data and the subject's medical record. Information on time and scope of tests and consults ordered by the treating team will be recorded to set a baseline for resource use and cost of current standard of care treatment/assessment procedures. This data will allow future health economics analyses to be performed. The blinded ResAppDx v2.0 diagnoses will be unblinded after database lock and sensitivity and specificity will be calculated for the ResAppDx v2.0 diagnoses compared to agreement with the CAC's final clinical diagnoses.
The purpose of this prospective study is to evaluate the efficacy of the ResAppDx software application in the diagnosis of childhood acute respiratory disease, including pneumonia, bronchiolitis, asthma/reactive airways disease, croup, lower respiratory tract disease (LRTD), viral lower respiratory tract infection (vLRTI), and upper respiratory tract disease (URTD).
Background: The bronchodilator therapy is an essential component of the management of asthma exacerbation. The delivery of bronchodilators to the lungs in asthma exacerbations is usually achieved through nebulization (creating small particles to be inhaled). The commonly used nebulizer device is a small volume jet nebulizer which has not been consistently reliable in delivering bronchodilator therapy. The Aeroneb nebulizer device is a FDA approved device which produces consistently respirable sized particles which could potentially result in better bronchodilator effect than the standard jet nebulizer. Aim: To study whether the Aeroneb nebulizer is more effective than a small volume jet nebulizer in delivering bronchodilators during a severe asthma exacerbation. Experimental design: Patients will be randomized (like a flip of a coin) to receive bronchodilator therapy as per the emergency room protocol either via small volume jet nebulizer or Aeroneb nebulizer. Subjects: Adult patients between age of 18 and 55 years who present to the emergency room with severe asthma exacerbation with peak expiratory flow rate <50% of predicted. Study procedure: When enrolled in the study and after randomization, we will then collect data that is standard for the hospital like heart rate, blood pressure and breathing indices and also some non-routine things like some scoring scales for shortness of breath and serial measurements of peak expiratory flow rate. We anticipate that the Aeroneb device will be more effective in delivering bronchodilator medication and thus more effective in managing asthma exacerbations.
The objective of the investigators pilot study is to assess the pharmacokinetic profile of two corticosteroid drugs, prednisone and prednisolone, in children who present to the pediatric emergency department with an asthma exacerbation. The investigators hypothesis is that the pharmacokinetic profile in this population will be similar to healthy children and adults.
Selective redesign of order sets using different ways to frame the order and physician decision-making in a computerized provider order entry system could increase adherence to evidence-based care and reduce population-specific variance.