View clinical trials related to Lung Diseases.
Filter by:Clinically, all patients with interstitial lung disease were observed, and relevant clinical data were collected. Bronchoscopic specimens were collected according to the condition of the enrolled patients, and the ROSE smear was evaluated, combined with the NGS results of these patients. To observe the etiology and biological characteristics of exacerbation in patients with interstitial lung disease. Patients with apnea should be tested for polysomnography, and corresponding biological specimens should be obtained for molecular biology or other tests
Chronic respiratory disease (CRD) is among the most prevalent and growing diseases worldwide with disabling consequences. Many with a compromised respiratory system cannot support the metabolic energy demands of walking causing them to walk slowly and stop often. Those with CRD could receive substantial benefit from a powered wearable exoskeleton device that assumes part of the energy of walking. Assisting the legs will lower the metabolic energy demands, and therefore the ventilation required for exercise, thereby allowing them to walk faster and further. Proposed is a series of single-case experiments comparing walking endurance with and without a powered hip exoskeleton assist. The aim of this study is to determine the efficacy of an exoskeleton on walking endurance in ventilatory limited patients with CRD. An exoskeleton could be a novel immediate and long term strategy to augment walking as part of the spectrum of pulmonary rehabilitation and community reintegration.
Assess the usability and acceptance of the P-STEP app, through allowing participants with specific chronic conditions to pilot the app for 12-weeks.
The use of Anlotinib hydrochloride capsules for the treatment of IPF/PF-ILDs, with FVC as the primary efficacy endpoint to evaluate its effectivenes
Participants with respiratory disease experience often a worsening of their condition, with increasing symptoms such as cough and shortness of breath. This worsening, often called exacerbation or flare up, impacts on the life of the participants, since they become limited in their daily activities. Healthcare is still based today on limited times for clinical appointments to perform investigations and to meet with specialists/clinicians. Very often, these evaluations do not reflect the way the disease is limiting the patient's life. Wearable devices offer the opportunity to collect data on physical activities and important clinical parameters (such as how the patient is active or just staying in bed during the day), on a daily basis. The HG Phoenix AI- based Smart Watch produced by Health Gauge, an Albertan company based in Edmonton, has the potential to measure heart rate, heart rate variability, blood pressure, pulse wave velocity, respiratory rate, temperature, arterial saturation, sleep pattern (deep, light sleep, awake time), duration and time, daily physical activities (site count and distance) and calories burnt in a simple and non-invasive fashion. Ideally, these parameters could be monitored and recorded 24 hours per 7 days per week. This study aims to demonstrate that this device can be used for a long time at home and it is comfortable to use for the participants, that it is not dangerous and, possibly, that it can help to identify exacerbations before the currently available investigations.
The incidence and prevalence of nontuberculous mycobacteria (NTM) infections have gradually increased over the years worldwide (1-3). In China, Mycobacterium avium complex (MAC) was the most prevalent NTM specie (4), while challenged by long treatment duration, frequent drug-induced adverse events, lack of treatment alternatives, poor treatment outcome and high recurrence rate (5, 6). In order to maximize the efficacy of the few available drugs and prevent the development of drug resistance, ensuring adequate plasma drug concentrations are of importance. Despite the role of pathogen susceptibility, determined by minimum inhibitory concentration (MIC), is non-negligible, the evidences regarding its association with treatment outcome are limited, especially for rifamycin and ethambutol. The difficulties in explaining the clinical values of MIC might partially be attributed to the lack of in vivo drug exposure data, which cannot be accurately predicted by the dose administered because of between-patient pharmacokinetic variability (7). Therapeutic drug monitoring (TDM) is a strategy to guide and personalize treatment by measuring plasma drug concentrations and pathogen susceptibility, which might have the potential to improve treatment response to MAC lung disease. In this observational study, the hypothesis is that the drug exposure and/or MIC of antimycobacterial drugs are correlated to the treatment response of MAC lung disease, which is assessed from the perspective of treatment outcome, mycobacterial culture negative conversion, lung function, radiological presentation and self-reported quality of life. Consenting adult patients with culture-positive MAC lung disease will be recruited in study hospital. Respiratory samples (sputum and/or bronchoalveolar lavage fluid) will be collected regularly for mycobacterial culture on the basis of BACTEC MGIT 960 system and MIC will be determined using a commercial broth microdilution plate. Drug concentrations will be measured at 1 and/or 6 months after treatment initiation using liquid chromatography tandem mass spectrometry (LC-MS/MS). The final treatment outcome is recorded at the end of MAC treatment and defined according to an NTM-NET consensus statement (8).
This research study is being conducted to evaluate the feasibility of using technology to deliver a remote home exercise program and assess the health outcomes of patients with chronic lung diseases. Specific objectives are to assess the interventions on patients: 1) Lung function, 2) Dyspnea, 3) Fatigue, 4) Exercise capacity, 5) Self-efficacy, and 6) Health-related quality of life. The investigators will also be evaluating the practicality of using videoconferencing and commercial wearable telemonitoring devices (ie. smart watches) for the implementation of the intervention in this group of patients.
This study aims to characterize the epidemiology of interstitial lung diseases (ILD) associated to connective tissue disease (CTD) in Mexico, and to study its correlation with the different comorbidities and treatments used, as well as the possible impacts of these factors on the outcome of progression, exacerbations, and mortality in patients with ILD associated to CTD.
Tele-monitoring emerged and unfolded differently among various healthcare organisations and countries. Evidence regarding its impact on the management of COPD patients is still insufficient to draw firm conclusions. Assumption has been made that remote monitoring of home NIV treatment could help to identify novel predictors of the early detection of NIV failure and deteriorations in patients with COPD. The incidence in routine clinical care of unplanned all-cause and COPD-caused hospitalisations in patients treated with NIV therapy who are continuously monitored by telemetric data in France needs evaluation. In addition, predictors of unplanned all-cause and COPD-caused hospitalisations as well as of compliance and persistence to NIV therapy should be assessed in this patient population with special respect to continuous tele-monitoring. The study will determine in France the incidence in routine clinical care of unplanned all-cause and COPD-caused hospitalisations in patients treated with NIV therapy who are continuously monitored by telemetric data. Clinical and telemetric predictors of unplanned all-cause and COPD-caused hospitalisations and of NIV therapy compliance and persistence will be assessed in those patients
This is an observational study examining inhaler adherence and subsequent changes in blood eosinophil count in exacerbations of Chronic obstructive pulmonary disease (COPD) population. The study will run for 6 months as an observation period. Passive inhaler adherence monitoring will be done electronically via inhaler sensors connected to mobile Apps, and collecting symptoms questionnaires, diary of exacerbation events and trial visits predominantly in remote fashion. It will explore the feasibility of digital platform in clinical practice to collect the adherence data along with exacerbation events.