Active clinical trials for "Pulmonary Disease, Chronic Obstructive"

To access the clinical usefulness of F1+2 in the diagnosis of PE in patients with AECOPD who require hospitalization. Specifically, to determine whether F1+2 may have an additional value in the subgroup of patients with an abnormal D-dimer,to determine whether it may increase the proportion of patients in whom PE can be safely ruled out and to determine the sensitivity, specificity and NPV of F1+2 at various cut-off values.

Chronic obstructive lung disease (COPD) is characterized by airflow obstruction that is progressive over many years and is largely irreversible. Advanced COPD is associated with arterial oxygen desaturation leading to a series of complications and, ultimately, decreased survival. Long-term oxygen therapy can improve clinical outcomes in these patients, but the exact target of oxygen saturation that actually translates into improvements is not known. The basis for the work in this proposal is to focus a new approach to measure oxygen desaturation linked to daily activity. Accelerometers are used to measure daily activity and then synchronized with ambulatory oximetry to establish an activity/oxygen-saturation profile for individual patients. The three main objectives of this study are 1) determine the feasibility of AOM as a measurement of the temporal profile of oxygen saturation in patients with chronic lung disease; 2) determine if serial AOM-derived data is reliable and reproducible; and 3) determine thresholds of oxygen desaturation that are associated with different activity profiles

The purpose of this study is to assess whether the detection of circulating tumor cells (CTC) could be used as a tool to earlier diagnose, more accurately predict treatment response / failure and predict overall survival in non-small cell lung cancer (NSCLC) patients

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.

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.

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 (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.

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.

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.