View clinical trials related to Lung Diseases, Obstructive.
Filter by:Globally, non-communicable diseases (NCDs) are the leading cause of both mortality and morbidity. This intervention study aims to prevent and manage NCDs by adopting the World Health Organization's (WHO) comprehensive 'whole-of-government' and 'whole-of-society' approach. Although the Bangladesh government has devised a Multisectoral Action Plan (MAP) for NCD prevention and control, there's a need to operationalize these approaches at the sub-district level. This requires establishing a framework, implementing it, and assessing its effectiveness. To accomplish the study's objectives, the investigators will initially identify key stakeholders involved in NCD-related work or potentially able to contribute. Subsequently, investigators will qualitatively explore their potential involvement in NCD prevention and control, including their current roles and responsibilities, and how they could further contribute. Workshops will be conducted with these stakeholders to develop a tailored intervention model for NCD prevention and control at the sub-district level, utilizing the 'whole-of-government' and 'whole-of-society' approach. Following this, the sub-district specific model will be implemented, and the process will be documented. Finally, an evaluation will be conducted to assess the effectiveness of the sub-district specific model in achieving NCD-specific outcomes.
The definition of obstructive airway disease is a ratio of the forced expiratory volume in one second (FEV1) to the forced vital capacity (FVC) of less than 0.7, which includes conditions such as chronic obstructive pulmonary disease, asthma, lymphangioleiomyomatosis, and bronchiolitis obliterans syndrome. For example, lung obstruction adversely affects many aspects of a patient's health, such as lung function and exercise capacity. Pulmonary rehabilitation is widely used in patients with obstructive airway disease, and the prescription of pulmonary rehabilitation depends on exercise capacity parameters such as peak oxygen uptake (peak VO2), peak workload, and anaerobic threshold. However, patients often have difficulty achieving training goals due to severe dyspnea during exercise. Dynamic hyperinflation is a common cause of dyspnea during exercise in patients with obstructive airway disease. Investigators aim to alleviate breathlessness by reducing dynamic hyperinflation, making it easier to achieve training goals. Methods to reduce dynamic hyperinflation include pursed lip breathing, reducing breathing rate to prolong expiratory time, using bronchodilators, and undergoing lung volume reduction surgery. Among these methods, reducing breathing rate to prolong expiratory time may be the most feasible, and investigators aim to change the rhythm and pace of breathing by adjusting the pedal rate of cycling exercise. The pedaling rate is typically set at 60 revolutions per minute. The European Respiratory Society recommended a pedal rate range of 40-70 revolutions per minute in 2019. There is still no consensus on the relationship between pedal rate and respiratory rate. This prospective observational study, using a crossover design, aims to investigate the effects of pedal rate during exercise testing on dynamic hyperinflation and exercise capacity in patients with obstructive airway disease.
Primary Objective: To evaluate the pharmacokinetics of Tiotropium Bromide Inhalation Powder (Strength:18 mcg; manufactured by Chia Tai Tianqing Pharmaceutical Group Co. Ltd) and reference products Tiotropium Bromide Inhalation Powder (Spiriva®, Handihaler®, Strength: 18mcg, manufactured by Boehringer Ingelheim Pharmaceuticals, Inc) by oral inhalation of single dose in healthy participants under fasting conditions.
The aim of this research program is to validate frailty measurements as a risk stratification tool to predict deteriorations in patient-reported outcomes, to gain a better understanding of patient preferences for care within varying degrees of frailty, and to assess differences in frailty measurement between patients and their clinicians. This work will provide a foundation in the development of customized interventions for people with COPD and varying degrees of frailty, with the goal of improving quality of life and optimizing health system service delivery for patients and their care givers.
Chest mobility exercise versus proprioceptive neuromuscular facilitation in patients with chronic obstructive pulmonary disease
This work aims to evaluate whether the segmentation of vowel recordings collected from patients diagnosed with COPD and healthy control groups can increase the classification precision of machine learning techniques.
The goal of this clinical trial is to compare the acute bronchodilator effect of pMDI formed Ipratropium / Levosalbutamol 20 mcg / 50 mcg fixed dose combination or pMDI formed Salbutamol 100 mcg Inhaler and Ipratropium 20 mcg Inhalation Aerosol in combination in stable moderate-severe-very severe COPD patients.
This work aims to evaluate whether voice recordings collected from patients diagnosed with COPD and healthy control groups can be used to detect the disease using machine learning techniques.
The aim of the CHOROS ORION study is to describe patients' clinical and self-reported outcomes of treatment with BGF in Italy through effectiveness, clinical and self-reported measures assessed pre- and post-treatment initiation, up to one year of observation period. The study will focus primarily on the change in self-perceived health status in the first 12 weeks of treatment. This will allow to assess the short-term impact of treatment, thus contributing to fill the gap of knowledge from the current available medical literature. Moreover, in order to provide also a broader view, patients will be followed up to 52 weeks, where possible. The study results will be interpreted in the context of an observational study design where multiple factors, in addition to the new treatment, may contribute to the treatment effect.
This cohort study aims to use the open-source RADAR-base mHealth platform to collect and analyze datasets associated with lung disease. This will include continuous data collected from wearable devices (e.g. heart rate, oxygen saturation, respiratory rate), including pulse oximeters, spirometer, mobile phones, digital tests, and smart phone symptom questionnaires.