Active clinical trials for "Respiratory Tract (Lung and Bronchial) Diseases"

A single-center, non-interventional prospective observational study in the NSCLC patients with different driver genes

The diagnosis of chronic thromboembolic pulmonary hypertension (CTEPH) is difficult for numerous reasons and is related with a poor prognosis. In Taiwan, the incidence of CTEPH and its clinical features are unknown. This study aims at evaluating the prevalence, clinical characteristics, and management of CTEPH in a Taiwanese cohort. Primary objective: - To investigate the geodemographics of CTEPH in Taiwan Secondary objectives: To characterize the demographics and clinical presentation of patients with CTEPH To describe the real-world management and treatment outcome of patients with CTEPH To identify the risk factors of CTEPH To assess the relationship between risk factors/patients' characteristics and clinical outcomes for CTEPH To evaluate the prognosis of CTEPH in Taiwan using survival assessment

Background: In thoracic surgery, postoperative pneumonia (POP) is the leading cause of postoperative morbidity and mortality. The clinical diagnosis of POP is difficult and conventional microbiological diagnostic tests perform poorly. The contribution of molecular diagnostic tests (multiplex PCR, mPCR) should be evaluated to optimize the diagnostic and therapeutic management of POP. Objectives: The main objective is to describe the microbiological relationship between the existence of pre- (if available) and intra-operative bronchial and pulmonary bacterial colonization and the occurrence of POP. The secondary objectives are to analyze the contribution of the mPCR for the diagnosis of POP and to validate the predictive factors of POP described in the literature Material and methods: A monocentric prospective non-interventional research with minimal risks and constraints. The study population is represented by all the consecutive adult patients hospitalized for lung surgical resection (except surgical resection indicated for infectious disease) during one year. The preoperative respiratory samples within the 3 preceding months (date and type, pathogen and threshold) are recorded, if available. Intra-operative bronchial aspirate is performed for direct examination and culture (pathogen and threshold) and mPCR (PCR1). A mPCR is optionally performed on the surgical specimen (PCR2). In case of postoperative clinical suspicion of POP, invasive or non invasive samples of respiratory tract secretions are obtained for direct examination and culture (pathogen, threshold) and mPCR (PCR3). A clinical pulmonary infection score (CPIS) is calculated by integrating the results of conventional tests (CPIS1) and mPCR (CPIS2). The pre / intra operative and postoperative microbiological relationship will be described qualitatively and quantitatively and analyzed using correlation tests. Concordances and discrepancies between conventional tests and mPCR will be studied to analyze the contribution of molecular tests in this context.

Goal: The aim of this study is to determine the epidemiological, clinical, paraclinical characteristics and treatment of severe bronchiolitis at the Children Hospital N01 in 2001-2002. Materials and method: in this cross-sectional study, specimens of 51 patients with severe bronchiolitis at the Children Hospital N01 from March, 1 st 2001 to February, 28th 2002 are described and analyzed.

The purpose of this study is to detetct Circulating tumor cells(CTCs) and Cancer Associated Macrophage-Like cells (CAMLs) in patients with pulmonary nodules using a novel microfluidic CTC-detection system. Then construct an early diagnostic model for lung cancer.

Women with a history of cervical insufficiency can be managed with elective cervical cerclage placed at the beginning of the second trimester. The McDonald technique is the most commonly used. Though lack a robust scientific evidence, the cerclage is removed electively at 36-37 weeks of gestation in order to avoid maternal cervical laceration. In addition, the incidence of spontaneous delivery is nearly 20% within 72 hours after ceclage removal, thus elective cerclage removal at 36-37 weeks may also put the newborns at complications associated with iatrogenic late preterm/early term delivery

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.

The purpose of the study is to evaluate the value of biomarkers in the diagnosis and risk stratification of patients with suspected pulmonary embolism.

The aim of the present prospective cohort study (GGN-F) is to study the family aggregation of pulmonary ground glass nodules via the questionnaire survey and to investigate the underlying genetic mechanism via the biobank.

Acute respiratory distress syndrome (ARDS) is due to diffuse and severe lung inflammation. Despite intensive research, few therapeutics have emerged and treatment is still mostly symptomatic. As lung microbiota seems to be associated with lung inflammation in numerous chronic respiratory diseases, this study aims to analyse the correlation between lung microbiota and mortality.