Active clinical trials for "Lung Diseases"

To develop and implement asthma controlling strategies for inner city and high risk populations.

To develop and implement asthma controlling strategies for inner city and high risk populations.

Pneumonia is a recurrent element of COVID-19 infection, it is often associated with development of respiratory failure and patients frequently need various degrees of oxygen therapy up to non invasive ventilation (NIV-CPAP) and invasive mechanical ventilation (IMV). Main purpose of this study is to evaluate with non invasive clinical instruments (pletysmography, Diffusion lung capacity for carbon monoxide -DLCO-, six minute walking test and dyspnea scores) and radiological tools (chest X-ray and chest CT scan) the development of medium-to-long term pulmonary sequelae caused by SARS-CoV-2 pneumonia.

Sarcoidosis is a disease of unknown cause which affects adults of all ethnic backgrounds. Clumps of tissue called granulomas develop primarily in the lungs, but can damage other organs, especially the heart. Anecdotal evidence from autopsy studies suggests the heart is affected in up to 68% of patients, but there is much uncertainty about this figure. If undetected and untreated, it can lead to serious complications or even sudden death. The current recommendation is to perform heart tracings (ECG s) on all patients, but this detects fewer than half of those with heart involvement. Blood markers traditionally used to diagnose heart disease are unreliable, meaning there is no simple blood test in use. The investigators propose a study with three aims. Firstly, identify the true prevalence of heart disease by performing Magnetic Resonance Imaging (MRI) scans on a group of patients with newly diagnosed lung sarcoidosis. Those found to have heart disease will have specialist (but routine) electrical heart tests. Secondly, (and perhaps the most immediate and clinically relevant) to identify the best method of diagnosing heart involvement using a combination of three simple tests: advanced ECG, 24-hour continuous ECG and a new type of computerised ultrasound scan. Thirdly, to identify proteins in the blood that could be used to develop a simple blood test for heart involvement in patients with lung sarcoidosis.

the aim of this study is to show that training session with nintendo WII requires the same cardiorespiratory demand than training session on ergocycle or treadmill, traditionally used in pulmonary rehabilitation program.

This study aims to determine if a deep neural artificial intelligence (AI) network (NeuralSeg) can learn how to assign the Canada Lymph Node Score to lymph nodes examined by endobronchial ultrasound transbronchial needle aspiration(EBUS-TBNA), using the technique of segmentation. Images will be created from 300 lymph nodes videos from a prospective library and will be used as a derivation set to develop the algorithm. An additional100 lymph node images will be prospectively collected to validate if NeuralSeg can correctly apply the score.

Chronic Obstructive Pulmonary Disease (COPD), , secondary to smoking, is a major public health issue with very high direct and indirect costs. The impact on the health system of undiagnosed patients, up to 70% of patients, is increasingly documented. However, systematic spirometry screening remains controversial among smokers in the absence of data to link the detection of new patients with improved management and clinical events and health goals. More generally, there is little data on the evolution of patients in real life once they have entered the care system. The premise is that with systematic screening in general medicine, it is possible to identify the evolution of newly diagnosed COPD patients, to distinguish the different possible evolutions according to the initial phenotype and the management.

Despite the high prevalence of chronic obstructive pulmonary disease (COPD), there continues to be a large gap in our understanding of disease pathogenesis and mechanisms accounting for large variability in disease phenotype. Untargeted metabolomics is an ideal approach to uncover the metabolic basis of disease, as well as discover unique drug target opportunities aimed at these nodal metabolic drivers of disease. There are very limited data from metabolomics studies from plasma/serum and exhaled breath condensate that suggest certain metabolic pathways or metabolites might predict the presence and/or severity of COPD phenotypes. Here, the investigators hope to generate comprehensive, compartment specific (blood and lung) metabolite profiles that will be correlated with various clinical phenotypes of COPD, using a complementary approach of untargeted nuclear magnetic resonance (NMR) and liquid chromatography (LC)- mass spectroscopy (MS) -based metabolomics.

Treating and caring for people with long term conditions accounts for a substantial proportion of health care resources. Self-management is advocated as a mechanism that can empower service users with long term conditions to choose healthier options and also transform the relationship between service user and caregivers from one in which the former is a passive recipient of care to one in which they are an active partner in decision-making. Interstitial lung disease (ILD) is one such long term condition. Patients with ILD often express concern about the lack of information on possible rehabilitation programmes and other services that could potentially improve self-management of the disease. In addition, there is a general perception about a lack of co-ordination between health care professionals especially in relation to referral to services for comprehensive management of the disease. Therefore, the needs of patients with ILD and their carers, and possible gaps in service provision need to be explored further. In this study, the investigators propose to explore the needs of ILD patients from all types of ILD and all stages of severity and to also involve carers and clinicians. The investigators will conduct three focus groups for patients and carers and six one-to-one interviews with clinicians to explore perceptions about service gaps and needs in two ILD centres in South and North London, UK. This study will provide valuable information to develop the building blocks of a self-management resource and will enable the investigators to make it specific to the different types of ILD.

Smokers do not know the symptoms of cancer and wait on average 5 months with symptoms before consulting. 80% of lung cancers are diagnosed at too late and incurable stage. Systematic CT screening of smokers is under evaluation and currently not supported because expensive and little used in real life (in the US 1.8% of smokers after 7 years of establishment in the USA). An English study showed an increase in the number of operable stage cancers of 3% among smokers by calling them on a trailing cough by a simple poster campaign ("You smoke, you cough for more than 3 weeks, consult"). Regarding COPD, it is linked to tobacco in 85% of cases, affects 3.5 million French and is in 2013 the 4th leading cause of death in France. The evolution of COPD is marked by exacerbations, period of acute aggravation of symptoms, responsible for the deterioration of the quality of life or even hospitalization or death. COPD remains a silent killer responsible, according to this same summary review, of 16,500 deaths per year in France. Dr DENIS has developed a web application that has shown a 7-month survival benefit by early detection of lung cancer relapses based on the reporting of patient symptoms analyzed by a validated algorithm in 300 patients and 1 randomized trial. The Applitabac app takes this concept of symptom self-assessment by patients. By multiplying the number of symptoms analyzed compared to the English study, Applitabac should be able to increase the sensitivity of this early detection of COPD and increase the number of operable bronchial cancers and increase the chances of survival of patients.