View clinical trials related to Lung Diseases, Obstructive.
Filter by:End-tidal CO2 measurements in children will be assessed for their accuracy with arterial CO2 measurements.
Patients with COPD will be entered. Participants will be randomized to one of three study arms: Arm 1: meditation; Arm 2: relaxation; Arm 3: Control. Hypothesis: Progressive muscle relaxation and mindfulness meditation will decrease severity of dyspnea, fatigue and care dependency.
Chronic obstructive pulmonary disease (COPD) is a serious but treatable chronic health condition. Optimised management improves symptoms, complications, quality of life and survival. Disease exacerbations, which have adverse outcomes and often trigger hospital admissions, underpin the rising costs of managing COPD (projected increase in the United Kingdom (UK) to £2.3bn by 2030). The costs and care-quality gap of COPD exacerbations, coupled with the global rising prevalence present a major healthcare challenge. This study proposal, which has been developed in partnership with patients, clinicians, enterprise and government representation is to conduct an implementation and effectiveness observational cohort study to establish a continuous and preventative digital health service model for COPD. The implementation proposals comprise: - - Establishing a digital resource for high-risk COPD patients which contains symptom diaries (structured patient reported outcome questionnaires), integrates physiology monitoring (FitBit and home NIV therapy data), enables asynchronous communication with clinical team, supports COPD self-management and tracks interaction with the service (for endpoint analyses). - Establishing a cloud-based clinical COPD dashboard which will integrate background electronic health record data, core COPD clinical dataset, patient-reported outcomes, physiology and therapy data and patient messaging to provide clinical decision support and practice-efficiencies, enhancing delivery of guideline-based COPD care. - Use the acquired dataset to explore feasibility and accuracy of machine-learned predictive modelling risk scores, via cloud-based infrastructure, which will be for future prospective clinical trial. Our primary endpoint for the effectiveness evaluation is number of patients screened and recruited who successfully utilise and engage with this RECEIVER clinical service. The implementation components of the project will be iterated during the study, based on patient and clinical user experience and engagement. Secondary endpoints include a number of specified clinical outcomes, clinical service outcomes, machine-learning supported exploratory analyses, patient-centred outcomes and healthcare cost analyses.
Acute exacerbation of COPD usually presents with more sputum production leading to worsening airflow obstruction. Often patients complain of sensation of sputum (phlegm) stuck in throat, which leads to worsening cough and respiratory distress. In an acute exacerbation setting high flow nasal cannula (HFNC), which is a modality that provides humidified and warm oxygenated air at flow of upto 60L/min, has shown to reduce blood carbon dioxide level and respiratory rate. However, studies investigating other effects of HFNC in this setting are lacking. To investigators' knowledge, this is the first study investigating effects of HFNC on sputum clearance in COPD patients. The purpose of the study is to determine the effects of HFNC on sputum clearance in acute exacerbation of COPD. Primary objective of the study is to determine whether HFNC improves clearability and wettability of sputum produced during acute exacerbation of COPD. Secondary objectives of the study include subjective assessment of cough severity as well as need for escalation of care after HFNC use versus conventional flow nasal oxygen (CFNO) use.
The clinical study with UMC119-06 is designed to investigate the safety in patients with Chronic Obstructive Pulmonary Disease. This will be a dose escalation, open label, single-center study in adult with chronic obstructive pulmonary disease. UMC119-06 is ex vivo cultured human umbilical cord tissue-derived mesenchymal stem cells product which is intended for treatment of chronic obstructive pulmonary disease.
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.
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.
Chronic obstructive pulmonary disease (COPD) is a respiratory disease that results in progressive airflow limitation and respiratory distress. Physiopathological features of COPD suggest that people who suffer from this disease have many risk factors for falls that have been identified in older individuals. Risk of falls is multi-factorial and impaired balance has been shown to contribute. The investigators aimed to demonstrate that, IMT performed during a PRP may improve Postural control in COPD patients.
MonitorMe is a telephone device intended for the non-critical monitoring of vital signs in a domestic environment with the ability to automatically transmit data to a remote location via basic telephone connectivity. MonitorMe's low-cost, call automation and simple to use technology (i.e. based on the principles of an ordinary plug-in telephone) make it appropriate for a wide number of care pathways. It eliminates the need for a modem or broadband and avoids the challenges of less reliable smart phone technology. Typical use scenarios include remote monitoring of individual or multiple chronic disease states such as COPD to improve patient outcomes including prevention of emergency admissions. There is growing interest in the use of home telemonitoring in COPD in order to facilitate the management of the increasing numbers of patients and pressures on the NHS. Despite the positive effects of telemonitoring in conditions such as heart failure, benefits remain unproven in COPD and further work is required before wide-scale use. Furthermore, until now the evaluation of telecare and telehealth developments has focused mainly on effectiveness and efficiency, whereas their social, and ethical implications in particular, have not been explored in depth. We will also explore ethical issues related to the use of telehealth systems, from both the patients' and the healthcare professionals' perspective. The current feasibility study is designed to assess the acceptability, usability and validity of MonitorMe within one of its intended purposes i.e. remote monitoring of individual or multiple chronic disease states such as COPD.
The aims of the study are to examine the responsiveness of, and the correlation between field walk tests and physical performance test in patients with chronic obstructive pulmonary disease (COPD) after participating in pulmonary rehabilitation.