View clinical trials related to Lung Diseases, Obstructive.
Filter by:The purpose of this study attempts to investigate the differences and relationships of respiratory parameters, muscle activity, and dyspnea during ADL between patients with COPD and age-matched healthy participants.
This Stage II randomized, controlled, longitudinal trial seeks to assess the acceptability, feasibility, and effects of a driving decision aid use among geriatric patients and providers. This multi-site trial will (1) test the driving decision aid (DDA) in improving decision making and quality (knowledge, decision conflict, values concordance and behavior intent); and (2) determine its effects on specific subpopulations of older drivers (stratified for cognitive function, decisional capacity, and attitudinally readiness for a mobility transition). The overarching hypotheses are that the DDA will help older adults make high-quality decisions, which will mitigate the negative psychosocial impacts of driving reduction, and that optimal DDA use will target certain populations and settings.
Chronic obstructive pulmonary disease (COPD) is a lung disease characterized by respiratory problems and poor airflow with dyspnea and cough being the main symptoms. Acute exacerbations of COPD (AECOPD) are the most important events for patients with COPD that have a negative impact on patients´ quality of life, accelerate disease progression, and can result in hospital admissions and death. It is of major clinical importance to determine predictors of an AECOPD and to identify patients who are at high risk for developing an acute exacerbation and/or to detect the beginning of or prevent an ongoing acute exacerbation as early as possible. Until now, research in the field of AECOPD has gathered and analyzed data only after manifestation of AECOPD until recovery and most of them used a retrospective study design. Therefore, the aim of this prospective trial is to collect clinical data in patients prior to the first visible clinical signs of an AECOPD to investigate potential early predictors of an AECOPD.
This research work is focused on building and evaluating one of the first evidence-based clinical decision support tools for homecare in the United States. The results of this study have the potential to standardize and individualize nursing decision making using cutting-edge technology and to improve patient outcomes in the homecare setting.
COPD is a common complex disease with debilitating breathlessness; mortality and reduced quality of life, accelerated by frequent lung attacks (exacerbations). Changes in breathlessness, cough and/or sputum production often change before exacerbations but patients cannot judge the importance of such changes so they remain unreported and untreated. Remote monitoring systems have been developed but none have yet convincingly shown the ability to identify these early changes of an exacerbation and how severe they can be. This study asks if a smart digital health intervention (COPDPredict™) can be used by both COPD patients and clinicians to improve self-management, predict lung attacks early, intervene promptly, and avoid hospitalisation. COPDPredict™ consists of a patient-facing App and clinician-facing smart early warning decision support system. It collects and processes information to determine a patient's health through a combination of wellbeing scores, lung function and biomarker measurements. This information is combined to generate personalised lung health profiles. As each patient is monitored over time, the system detects changes from an individual's 'usual health' and indicates the likelihood of imminent exacerbation of COPD. When this happens, alerts are sent to both the individual and the clinician, with instructions to the patient on what actions to take. Any advice from clinicians can be exchanged via the App's secure messaging facility. If patients have followed the action plan but fail to improve or if an episode triggers an 'at high risk alert', clinicians are further prompted to case manage and intervene with escalated treatment, including home visits, if necessary. The COPDPredict™ intervention aims to assist patients and clinicians in preventing clinical deterioration from COPD exacerbations with prompt appropriate intervention. This study will randomise 384 patients who have frequent exacerbations, from hospitals in the West Midlands, to either (1) standard self-management plan (SSMP) with rescue medication (RM), or (2) COPDPredict™ and RM.
This study is designed to evaluate the effectiveness and implementation of the Assessment of Burden of Chronic Conditions (ABCC)-tool for patients with COPD, asthma, diabetes mellitus type 2 or heart failure (and any combination of these conditions) in real-life routine practice. The ABCC-tool consists of a questionnaire, a visualisation using balloons that is based on cut-off points, and treatment advice. The ABCC-tool is intended to be used in daily healthcare practice, is designed to monitor a patient's integrated health status over time, to facilitate shared decision making, and to stimulate self-management. The study has a pragmatic clustered quasi-experimental design with two arms. The intervention group will use the ABCC-tool and the control group will receive usual care. The study will be implemented at a general practice-level, and has a follow-up period of 18 months. The primary outcome is change in perceived quality of care, as measured with the Patient Assessment of Chronic Illness Care (PACIC), as compared to usual care after 18 months. It is hypothesized that the change in perceived quality of care is significantly higher in the group using the ABCC-tool as compared to the group that receives usual care. Additionally the implementation of the ABCC-tool in general practices will be evaluated in 12 general practices. The implementation study will evaluate the context of caregivers with the Consolidated Framework for Implementation Research, the process of implementation with the RE-AIM framework, and fidelity to the intervention with the fidelity framework.
Chronic Obstructive Pulmonary Disease (COPD) is a highly prevalent pulmonary disease providing major morbidity and mortality. Bronchial obstruction is the cornerstone in assessment of the disease whereas associated pulmonary vascular disease remains poorly known. Improving knowledge on pulmonary vascular adaptive skills in COPD patients could allow for better understanding disease exacerbations, evolution towards chronic pulmonary hypertension (PH) and therapeutics to be offered to the patients. Magnetic resonance imaging (MRI) is an innovative and non-invasive tool capable of pulmonary vascular evaluation. This work aims at identifying pulmonary vascular impairment in COPD patients using functional MRI.
Purpose: to evaluate the immediate effect of automated oxygen titration compared to usual fixed-dose oxygen treatment during exercise in patients with COPD on long-term oxygen treatment. Methods: The study will be conducted as a double blinded randomized crossover trial with two arms. 40 ambulatory patients with COPD and home oxygen treatment will be included from AHH Hospital's catchment area. The patients will conduct two Endurance Shuttle Walk Tests (ESWT) in a crossover design using an O2matic device to deliver a variable oxygen dosage set at an SpO2-target of 90-94% and an O2-flow of 0 - 15 liters/min and using the patients´ usual fixed-dose oxygen delivery, in a randomized order. In both arms O2matic will monitor pulse rate and SpO2 continuously during the test, but only in the automated oxygen titration arm will O2matic adjust oxygen flow. The patient and the physiotherapist supervising the tests will be blinded to the oxygen dose. Primary outcome is the changes in perceived dyspnea intensity using Borg CR10 scale between walking with automated titration compared to fixed-dose treatment. Secondary outcomes are differences in walking time, the average oxygen consumption between automated oxygen titration and fixed-dose treatment and difference in time spent within acceptable SpO2-interval.
The aim of this study is to evaluate the usefulness of the chronic obstructive pulmonary disease-population questionnaire (COPD-PS) and the COPD-6 device in the early detection of chronic obstructive pulmonary disease in smoker patients .
Chronic obstructive pulmonary disease is a respiratory disease that results in progressive airflow limitation and respiratory distress. The benefit of inspiratory muscle training (IMT) combined with a pulmonary rehabilitation programme is uncertain. The investigators aimed to demonstrate that, in patients with obstructive pulmonary disease, IMT performed during a PRP is associated with an improvement of dyspnoea and exercise tolerance.