Active clinical trials for "Pulmonary Disease, Chronic Obstructive"

This observational study will examine the care-seeking behaviors of Veterans with chronic obstructive pulmonary disease (COPD) to see whether patients' perceived need for care or lack of access to care leads to delays in getting care for COPD exacerbations. Participants complete a baseline in-person visit and receive calls every two weeks for one year to monitor for COPD exacerbations. Detailed information about each exacerbation and time to care are obtained. A sample of participants and their caregivers participate in in-depth interviews. Approximately half the participants will also use a remote inhaler monitor to record their albuterol inhaler use to see if this approach can identify early exacerbations. Results from this study will be used to develop an intervention that will assist Veterans in the early identification, evaluation, and treatment of exacerbations, and will be integrated with the VA primary care team.

To describe the clinical profile of COPD patient who is under outpatient surveillance at polyclinic institutions of Moscow (including demographic data (age, gender, ethnicity, occupation), smoking status, disease duration, disease severity grade, distribution by disease phenotype, disease exacerbation rate in the setting of real-life clinical practice).

COPD and sleep apnea dyspnea syndrome represent two of the most common chronic lung diseases. It is reported that the prevalence of COPD with sleep apnea dyspnea syndrome is also very high. COPD and sleep apnea may have pathological or genetics interactions so that patients having both disorders tend to have worse outcomes than either condition alone. Data reflecting the prevalence, disease course and outcome of overlap syndrome is very limited in China. Therefore, the aim of the study is to describe the prevalence, treatment and outcome in Chinese patients and exploring the underlying interaction mechanism.

The purpose of this prospective cohort study is to determine factors involved in survival in new COPD patients treated by long-term oxygen therapy. Background: long-term oxygen therapy is indicated in patients with severe COPD. No studies have been performed in the past 20-25 years to examine the results of early clinical trials. Further studies are necessary to understand the utility of oxygen therapy in severe COPD.

This is a study of the lung health of the population of Vancouver and the extent of, and the risk factors for, chronic obstructive lung disease.

The purpose of this study is to establish the large COPD cohort and biological database in China, aiming for precision medicine to optimize diagnosis and treatment choices.

Chronic obstructive pulmonary disease is a serious disease . Exacerbations of Chronic obstructive pulmonary disease is an acute worsening condition of Chronic obstructive pulmonary disease, which always accompanied by clinical symptoms such as, shortness of breath and increased production of sputum. Respiratory infection (bacteria or viruses or mixed) is thought to be the main cause in most exacerbations.

Chronic Obstructive Pulmonary Disease (COPD) has been defined by international guidelines as a common preventable and treatable disease characterized by persistent air flow limitation and respiratory symptoms caused by exposure to gases or noxious particles. COPD is a major cause of morbidity and mortality worldwide. It is predicted to become the third leading cause of death and the fifth leading cause of disability by the year 2020.

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death in the World since 2003. Many people suffer from this disease or its complications for many years and die prematurely. In the European Union, the total direct costs of respiratory diseases are estimated to be around 6% of the total healthcare budget, with COPD accounting for 56% (38.6 billion Euros) of the costs of respiratory diseases. In the natural history of COPD, many patients may experience acute exacerbations (AECOPD) that are described as episodes of sustained worsening of the respiratory symptoms that result in additional therapy. These episodes of exacerbation that often require been seen in the emergency department and/or a hospital admission are associated with significant morbidity and mortality; they are responsible for a significant portion of the economic burden of the disease too. The pharmacological approach used in the management of AECOPD (inhaled bronchodilators, corticosteroids, and antibiotics), has the objective to minimize the negative impact of the current exacerbation and to prevent subsequent events. Despite the collaborative effort between the European Respiratory Society, the American Thoracic Society, and others to provide clinical recommendations for the prevention of AECOPD, there is still a considerable number of patients that are prone to suffer from recurrent exacerbations and to experience a more severe impairment in health status. Based on all the above, the aim is to identify the factors potentially associated with hospital admission in patients with AECOPD in English, French, German, and Spanish, speaking countries, and to develop a predictive model that predicts the risk of hospitalization in this group of patients, by using artificial intelligence. In this study proposes to take advantage of SAVANA, a new clinical platform, created in the context of the era of electronic medical records (EMRs), to analyse the information included in the electronic medical files (i.e., big data). This clinical platform is a powerful free-text analysis engine, capable of meaningfully interpreting the contents of the EMRs, regardless of the management system in which they operate. In this context, this machine learning analytical method can be used to build a flexible, customized and automated predictive model using the information available in EMRs.

The Individual Knowledge Statement Questionnaire of Chronic Obstructive Pulmonary Disease (COPD) Patient and Resident Proxies questionnaire, which can be used in patients with Chronic Obstructive Pulmonary Disease (COPD) and their relatives, will be adapted into Turkish and its psychometric properties will be examined, and the knowledge level of patients and their relatives about the disease and general health will be investigated.