Active clinical trials for "Lung Diseases"

Several studies have demonstrated the association between atmospheric pollution and chronic respiratory diseases. The magnitude of this association and its dependence of local factors are still unknown in Argentina, particularly for obstructive lung diseases like asthma and chronic obstructive pulmonary disease (COPD). The objective of this study is to assess the effect of atmospheric pollution due to particulate matter (PM) on asthma and COPD exacerbations in adults. A prospective cohort study will be carried out in patients attending the pulmonary service of a public hospital located in San Nicolas, Buenos Aires province, Argentina. Patients will be followed for 12 months after recruitment. The outcome variables will be the frequency of hospitalizations or emergency department consults for asthma or COPD exacerbations and related conditions, and the impact of COPD on a person's life as measured by the COPD assessment test (CAT) questionnaire. The exposure will be the pollution level in the particular address, measuring PM10 concentrations with portable equipment. Other variables as air temperature, humidity, and individual patient risk factors will be considered as potential confounders or effect modifiers. The associations will be estimated through regression models, i.e. logistic and Poisson regressions and recurrent event survival analysis. The results of this study should provide elements to estimate the risk of chronic respiratory diseases associated with atmospheric pollution, and to evaluate strategies for risk assessment in the local community.

The purpose of this study is to establish the reference values of impulse oscillometry (IOS) in healthy Chinese, and compare the indices of IOS in patients with lung disease, such as chronic obstructive pulmonary disease (COPD), asthma, interstitial lung disease (ILD), and upper airway Obstruction (UAO).

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide. Its prevalence is in progression and COPD is expected to become the fourth leading cause of death by 2030. COPD is characterized by periods of stability interspersed with acute infectious/inflammatory flare-ups, also called acute exacerbations, during which patients deteriorate, sometimes to the point of requiring immediate medical assistance. Although most patients eventually recover, repeated episodes of exacerbations may accelerate COPD progression. Exacerbations may further compromise the integrity of limb muscles by promoting further loss in muscle mass and strength. The overall objective of this substudy is to elucidate how an acute COPD exacerbation may affect limb muscles.

This study through the long-term observation followed up for 2 years to find the change of the COPD patients blood ROMs, systematically evaluate the relationship between ROMs and the severity of COPD. Evaluate the differences of prognosis between the different oxidative stress level (according to the level of ROMs are divided into higher and normal phenotype). Explore the new oxidative stress evaluation index ROMs application value in COPD.

Up to this moment, the majority of studies assessing the level of physical activity in daily life in patients with COPD are limited to a cross-sectional design, which does not take into account natural variation of physical activity in daily life due to differences in climatic conditions faced throughout the year. Preliminary evidences suggest that patients with COPD have different physical activity levels according to the seasons of the year. However, the limited current evidences do not allow us to know the magnitude of differences in the level of daily physical activity in patients with COPD when taking into account climatic changes resulting from different seasons of the year in cities and countries with contrasting climatic conditions. This gap observed in the literature does not allow us at this moment to know whether we should or not consider the season of the year as one of the main causes of variability while assessing physical activity in daily life in patients with COPD. The present project proposes to investigate the hypothesis that patients with COPD who live in a place with less marked decrease in temperature between summer and winter (Londrina, Brazil) have less variability in the level of physical activity in daily life through the year in comparison to patients who live in a place with more marked climatic variability during these seasons (Leuven, Belgium).

Hypothesis: A commercial e-nose (Cyranose 320) is able to detect specific breathprints from patients with COPD and bacterial infection

Chronic obstructive pulmonary disease (COPD) is a chronic condition involving an impairment in functionality and in the execution of activities of daily life. The hypothesis of this study is to examine the relationship between cognitive status and clinical profile (respiratory, sleep quality, nutritional status) in patients with chronic obstructive pulmonary disease in two different moments: exacerbation or stable situation.

Patients admitted to the hospital with chronic obstructive pulmonary disease are evaluated with regard to early follow-up by a specialized nurse in the home after discharge.

Although some important progresses were made in the field of the meridian research, no breakthroughs have been achieved. Besides,there are some problems in meridian researches. The majority of the existing studies involve lots of subjective assessments for meridian phenomena. In addition, few studies have investigated the site specificity between two specific meridians.Therefore, this study is designed to detect the microcirculatory characteristics of meridian phenomena by using an objective assessment tool and investigate the site specificity for the meridian-visceral association and surface-surface association between two specific meridians.

To prospectively study novel blood and lung biomarkers of disease activity in patients with IPF and other interstitial lung disease with the aims of prognostic modelling and disease clustering