Active clinical trials for "Pulmonary Disease, Chronic Obstructive"

The aim of the present study was to evaluate if the analysis of NT-proBNP might be used as an initial step for the diagnosis of chronic heart failure in patients with COPD in primary health care, and to select patients for a further examination by echocardiography.

The aim of the study is to compare patients' satisfaction from the use of three different inhalation devices by using the FSI-10 questionnaire

The purpose of this study is to determine whether the lungs of individuals with chronic obstructive pulmonary disease (COPD) contain resident memory T lymphocytes that can produce a combination of cytokines that induce the symptoms of an acute exacerbation of COPD (AE-COPD). Specifically, the study will determine cell-surface receptors of lung T cells in comparison with blood T cells from the same subject, and will examine anti-CD3-activated blood or lung T cells for interleukin (IL)-6 and interferon-gamma production in response to IL-18, and for IL-17A production in response to recombinant IL-23.

Chronic Obstructive Pulmonary Disease (COPD) is a common, preventable and treatable disease that is characterized by persistent respiratory symptoms and airflow limitation that is due to airway and/or alveolar abnormalities usually caused by significant exposure to noxious particles or gases. Acute exacerbations may occur during the management of stable COPD which can negatively impact health status, rates of hospitalization and re-admission. During exacerbation, some patients need immediate admission to the respiratory intensive care unit (RICU) for ventilatory support. As prolonged mechanical ventilation has unfavourable impacts, it is Important to minimize the duration of mechanical ventilation and perform extubation as soon as possible. In recent years, development of numerous models of artificial respiration, which could support spontaneous breathing, has made it possible to gradually decrease the mechanical ventilatory support. From these new modes, PSV which is a well known weaning mode will be compared in our study to a new weaning mode which is a volume support ventilation (VSV).

The purpose of this project is to evaluate hospital utilisation, patient and service outcomes of a Respiratory Nursing Service to examine current clinical care of COPD. This evaluation aims to identify the important gaps in current clinical care of respiratory chronic disease nursing management. The primary outcomes of this evaluation is to determine the efficacy of clinical care in 2006, 2011, 2013 and 2015 and compare data to current Nursing Best practice guidelines for COPD through the quantification of hospital utilisation for hospital admission, average length of stay, readmission within 28 days, emergency service attendance, outpatient review, use of Hospital and Home (H@H), frequency of exacerbations, disease severity and progression (FEV1: GOLD Classification), number of contacts with the respiratory nursing service and type of contacts with the respiratory nursing service.

The differential diagnosis of asthma and COPD is sometimes difficult. Recently, an overlap syndrome has been defined based on the concurrence of asthma and COPD characteristics. These characteristics are based on expert opinions and have never been investigated nor validated prospectively. The investigators assume that the management strategy, the symptom burden and disease progression will differ between asthma, COPD and ACOS. Therefore, the study wants to establish baseline criteria for an appropriate disease definition and evaluate the potential impact on treatment and symptom control.

Studying the airway microenvironment in patients undergoing surgical and bronchoscopic interventions for COPD

Aging of the population is dramatically increasing the number of hospitalized patients, with the consequent challenges of limited medical personnel and resources in hospitals. Wireless technologies that create highly connected healthcare environments are developed to help hospitals address these issues, once these technologies are perfectly integrated in the hospital environment with respect to IT infrastructure for big data storage. Such devices have proven remarkable efficiencies in monitoring patients with high patient safety, data accuracy and security, which are essential to provide high quality patient care, reduce health-related costs and optimize the management of high numbers of patients. Cough is the most common condition that results in a visit to the physician. Often coughs are benign, but sometimes can be the sign of exacerbations of a chronic respiratory disease. Exacerbations are defined in the Global Initiative for Chronic Obstructive Lung Disease (GOLD) document "as an acute event characterised by a worsening of the patient's respiratory symptoms that is beyond normal day-to-day variations and leads to a change in medication". It is assumed that, if coughs were remotely monitored, hospitals might be unburdened, patients would be empowered to self-manage their health, and that prevention of serious respiratory diseases might be facilitated, thus improving health outcomes. Unfortunately, remote monitoring for cough that rely on self-reporting is impractical, as patients do not record data very reliably. On the contrary, a bed sensor under the mattress connected to a medical data analysis platform might monitor patients' micro-movements at night and alert the medical staff as soon as there is a cough exacerbation.

Chronic obstructive pulmonary disease(COPD), characterized by persistent airflow limitation, associated with an progressive chronic inflammatory response of the lung to noxious particles or gases, can lead to dyspnea and limited mobility and influence the life quality of patients severely. Type 2 diabetes mellitus(T2DM), as a common complication of COPD, has got more attention in comprehensive control of COPD. Stress response and metabolic disorder are more likely to happen in COPD patients with T2DM in high level inflammation status, which decrease the drug efficacy, increase the risk of acute exacerbation of COPD, complications and mortality. Both COPD and T2DM are chronic inflammatory disease with long term, there is close relationship in occurrence and development of each other, and the patients with severe COPD are more likely to develop T2DM. Monitoring the acute inflammation maker of C reactive protein (CRP) and IL-6(interleukin-6) is the most useable way to predict the inflammatory status and condition of COPD patient with T2DM, however the chronic inflammation maker is lacking. Neutrophil-to-Lymphocyte ratio(NLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) , the new, cheap and easy-tested chronic inflammatory markers, have got great research in early predicting the tumor such as nasopharyngeal carcinoma, soft tissue sarcoma and small-cell lung cancer,among them, NLR has manifest promising application in predicting insulin-resistance. However the value about NLR,PLR and LMR to predict the T2DM in COPD patients remain unknown and many articles related to NLR and COPD are retrospective. The investigators attempt to analyze the risk factors and predict value of NLR,PLR and LMR about developing T2DM in COPD patients with prospective method.

Using an extensive set of both volitional and non-volitional tests of respiratory muscle function and strength it is the aim of this study to identify disease-specific patterns of respiratory muscle impairment in different NMD and COPD establish which set of tests is predictive of sleep-disordered breathing or daytime hypercapnia in patients with NMD or COPD, respectively. to investigate the decline of respiratory muscle function in patients with progressive NMD and COPD along with sleep studies and capnography