View clinical trials related to Chronic Obstructive Pulmonary Disease.
Filter by:The aim of this project is to develop a disease progression cohort within the University of Michigan Health System to capture pulmonary function, symptom assessments and quantitative imaging among patients at risk for or with an established diagnosis of COPD, focusing however on "early" COPD (age 30-55 and GOLD stage 0,1, 2, and prism).
Chronic Obstructive Pulmonary Disease (COPD) affects the airways that causes shortness of breath, cough. COPD gets worse over time, and often leads to emergency department visits, hospital visits, frequent doctor appointments and medications. This means COPD is expensive, and severely impacts patient quality of life. Unfortunately, patients are often not properly diagnosed until their disease is fairly advanced. We know a lot about the health care use of people with COPD once they have been diagnosed, but we do not know much about what happens to them leading up to their diagnosis. Through this project we want to better understand the time period prior to COPD diagnosis, so that we can learn more about what happens to people before they are diagnosed. This project will use health data to find out if we can identify trends in health care use by individuals newly diagnosed with COPD. We will identify people that have COPD based on health records, and look back to find out about their health care use prior to their diagnosis. We will look at data related to doctors' visits, emergency department visits, hospital stays and medications. We want to use these markers to better understand what happens to people before they are diagnosed, and to find out if we can identify risk factors for a COPD diagnosis. We hope by doing this research we can better identify people at risk for COPD and ensure that they receive treatment early, which may improve their health outcomes.
This study aims to use novel proton-based MRI techniques to assess lung function and structure in healthy volunteers and patients with chronic obstructive pulmonary disease (COPD) and alpha-1-anti-trypsin deficiency (A1ATD). These novel MRI measures will be compared to matched contemporary clinical diagnostic tools, namely pulmonary function tests (PFTs) and computed tomography (CT) scans. MRI has the advantages of avoiding ionising radiation exposure (unlike CT scans) and can also provide regional measures of lung function (unlike PFTs which provide global measures of function). In addition, these MRI techniques do not require the use of any inhaled or injected contrast agents. Some patients enrolled in this study will be undergoing a lung volume reduction (LVR) procedure as part of their normal clinical care. LVR is an intervention for patients with severe lung disease and hyperinflation. It is a palliative therapy that helps to reduce lung hyperinflation through insertion of small valves in the airway or surgical removal of parts of the lung. This can lead to improvements in symptoms such as breathlessness and improve exercise tolerance due to better functioning of the lung. In this study, we will explore how lung MRI measures can be used to assess patients before and after an LVR intervention. This study will take place at the University of Nottingham in collaboration with Nottingham University Hospitals NHS Trust. The study will last for 3 years and participants will be asked to attend a screening visit (lasting up to 1 hour) and either one or two study visits (each lasting up to 3 hours).
This project will observe and follow up the changes of pulmonary function and CT in patients with smoking combined with pulmonary tuberculosis, and measure the ratio of Th1 cells, Th17 cells, macrophages and neutrophils and the secretion of factors such as TNF-α, IFN-γ and IL-17 in pulmonary blood and alveolar lavage fluid.
To identify the clinical characteristics of patients with chronic obstructive pulmonary disease (COPD) combined with community-acquired pneumonia (CAP) and the factors influencing clinical transition.
Evidences have shown that systemic glucocorticoid cannot not be benefit to all of the patients with AECOPD. The problem that how the clinicians can screen the patients who can benefit from systemic glucocorticoid needs to be solved. Our previous study found that serum metabolites profile in COPD patients differed from that in controls. Therefore, we hypothesized that metabolome changes in patients with AECOPD may be associated with the efficacy of systemic glucocorticoid. In this study, we will utilize ultraperformance liquid chromatography / mass spectrometry (LC-MS) and gas chromatography / mass spectrometry (GC-MS) methods for analysis of the metabolites in AECOPD patients and compare the metabolites profiles between patients with systemic glucocorticoid treatment success and treatment failure. We aim to detect the metabolic biomarkers and metabolic pathways which are related to efficacy of systemic glucocorticoid and contribute to the precise treatment of COPD.
Background: Chronic obstructive pulmonary disease (COPD) is a common chronic disease characterized by persistent respiratory symptoms and airflow restriction, due to airway and/ or alveolar abnormalities usually caused by significant exposure to harmful particles or gases, in particular cigarette smoking. Sleep disorders are common in society and it is not surprising that they also affect individuals with COPD. Patients with COPD, especially those in severe stages of the disease suffer from many sleep disorders and its prevalence varies depending on the disease. Epidemiological studies report that approximately 75% of COPD patients experience nocturnal symptoms of the disease. The most common are sleep-breathing disorders (nocturnal hypoxemia, central sleep apnea, difficulty breathing, sleep-related hypoventilation), insomnia and sensory motor disorders during sleep, including restless legs syndrome. Patients with COPD not only experience poorer sleep quality and concomitant sleep disorders but also have a higher chance of sudden nocturnal death, especially during a period of COPD exacerbation. Scientific studies show that elevated posture during sleep (>30 degrees raised head and back from the supine position) has a positive effect on sleep quality. To date, this has not been proven in patients with COPD who are a special group with sleep disorders. Research questions and objectives: The primary study objective is to evaluate if adjusted sleeping position with electrical bed backrest improves the quality of sleep in patients with COPD. The exploratory objectives are: 1. To evaluate if adjusted sleeping position improves total sleep time, respiratory patterns, oxygen saturation and heart rate (measured by CASIS, WatchPat and Sleepiz). 2. To investigate if adjusted sleeping position decreases COPD-related symptoms during sleep and daytime (measured with CAT score). 3. To evaluate if adjusted sleeping position reduces patient's fatigue during the day (measured with FSS questionnaire). 4. To evaluate if better sleep at night is associated with more energy, more activity and less breaks for rest during the day (measured with OQ-S, 6MWT and smartwatch). 5. To compare the results from the two sleep recording technologies (single night minimal contact sleep recorder-WatchPat versus several nights without contact sleep recorder-Sleepiz). Study design: Prospective, open label, cross-over clinical trial with randomized treatment order. Every subject will use the assigned intervention for 4 weeks. The intervention is an electrical bed backrest used during sleep time. The randomization will be non-adjusted, in ratio 1:1. A total of 40 patients will be included in the study.
Chronic respiratory diseases such as obstructive sleep apnea syndrome (OSA) and chronic obstructive pulmonary disease (COPD) constitute a major public health problem, due to their high prevalence, but especially because of their cardiovascular and metabolic morbidity and mortality and the associated costs for the health system. The organization of long-term management of these diseases is now part of the e-health process, digital health with the use of massive "big data" generated by care and follow-up. Therapeutic patient education and the integration of connected objects will allow personalized therapeutic education support with interventions by local medical staff adapted to the needs of the patients. This will also allow to objectify the effect of treatments such as continuous positive airway pressure (CPAP) for OSA or non-invasive ventilation (NIV) and/or oxygen therapy for COPD, not only on the prevention of respiratory decompensation but also on cardiovascular and metabolic risk factors which are major elements of the prognosis. This project will therefore make it possible to demonstrate the feasibility and to deploy a multi-actor care pathway in the territory. The investigators propose a prospective clinical study, conducted at the Verdun Hospital, with the main objective of studying the evolution of the quality of life of patients with a chronic respiratory pathology, during an integrated management at home for 6 months. The secondary objectives: - To study the evolution of the following parameters, before treatment (at inclusion) and after 6 months of integrated management: 1. Treatment compliance (CPAP or NIV/oxygen therapy) 2. Physical activity 3. Weight 4. Mean arterial pressure 5. Oxygen saturation, heart rate and respiratory rate for COPD patients 6. Severity of COPD for the patients concerned 7. Daytime sleepiness 8. Fatigue 9. Patient acceptability of the use of connected objects - To analyze the trajectories of the measures collected throughout the integrated management to identify specific profiles. - To analyze the daily data of the different connected objects and treatments with regard to the patients' profiles (according to age, gender, comorbidities, OSA or COPD group).
There are few studies about immunological explorations in COPD. Because of the complications of lung biopsies, analyses are generally made on blood samples instead of lung tissue. No study tried to classify COPD vs Asthma vs ACOS. The investigators wondered if there were differences in biomarkers between these groups. The investigators decided to open a pilot-study among COPD patients followed in Amiens-University Hospital. Each patient will be examined and a blood-test will be performed.
Objective to establish a real-time early warning model of acute exacerbation of chronic obstructive pulmonary disease (COPD) caused by air pollution, and develop the corresponding mobile medical assistant system. Through the cross fusion of existing information technology and medical research results, an auxiliary medical system is formed for information recording, tracking tools, early warning model and clinical diagnosis of patients with COPD.