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

Lung cancer is one of the most frequent cancer concerning human beings and it represents, worldwide, one of the first cause of death. Most of patients with this cancer are males and 85% of lung cancers are non-small cells type (NSCLC) with adenocarcinoma being the most common histologic subtype. Patients with pulmonary cancer have a poor long-term prognosis with an overall 5 years of survival which is less than 25% for all stages. The natural immune system, with polynuclear neutrophils (PNN) is involved in carcinogenesis. The impact of PNN localized within the tumor as a prognostic biomarker has not been really studied in non-small cells lung cancers. According to some studies, an increase in the number of PNN (labelled by the CD66b antibody) within the tumor is associated to a greater risk of relapse and a poor overall survival rate. The intra-tumoral ratio PNN over Lymphocytes T CD8 + (iNTR) is an independent factor of the poor prognosis concerning the overall survival rate and concerning risk of relapse with patients who went through a first surgery for a non-small cells lung cancer. With this study we will initially concentrate on lung adenocarcinoma and attempt to evaluate the PNN's rate within the tumor and its impact on an overall survival rate and progression-free survival. Secondly, we will explore the role of iNTR and the mutational profile of tumors concerning this survival.

Sleep apnea syndrome is a prevalent disease, recognized as an independant risk factor for cardiovascular diseases The gold standard for the diagnosis of sleep apnea is the polysomnography. But polysomnography is time-consuming and very expensive. We developed an algorithm for screening sleep apnea from electrocardiographic signal. This would lead to the simplification of screening sleep apnea by using a two-channels recording device and computerizing the scoring of respiratory events. The validation of the algorithm will consist in comparing the number of apnea and hypopnea per hour of sleep (AHI) detected by the algorithm from the electrocardiographic signal recorded during a standard polysomnography in the Center for Sleep Medicine and Research in Nancy, with the AHI resulted from the standard interpretation of the same polysomnography by experts in sleep scoring (gold standard).

Severe Acute Respiratory Infection (SARI) is defined by the World Health Organization (WHO) as acute respiratory infection with a history of fever ≥38°C and cough for less than 10 days duration that requires hospital admission. SARI-PREP is a multi-center consortium funded by the CDC Foundation being assembled with the goal of providing the infrastructure to rapidly collect prospective data on clinical risks and outcomes, hospital-level stress, and biologic specimens that will aid in the rapid development of diagnostic and treatment approaches. A current example of a form of SARI to be targeted by SARI-PREP is COVID-19 the acute respiratory infectious disease caused by SARS-CoV-2 infection. COVID-19 has a broad set of manifestations and severity with a subset of affected patients developing severe disease leading to respiratory failure and other forms of organ dysfunction. As with many outbreaks of novel viral pathogens causing SARI there was no efficacious therapeutic intervention at the beginning of the COVID-19 pandemic. Furthermore, while there is emerging knowledge of clinical risks for severe COVID-19, there remains a paucity of information about the viral dynamics and host responses that might indicate a patient is at high risk for poor outcomes. The COVID-19 pandemic will be the initial target of the SARI-PREP consortium with the overall goal of developing a multi-institutional collaborative network of Acute Care Hospitals that will rapidly enroll, sample, and follow patients admitted with severe COVID-19 and to develop research protocols to rapidly determine demographic, clinical, host molecular, virologic, and institutional correlates of outcome. Overall, the information gained from this effort will help to rapidly inform and improve clinical management of epidemic/pandemic SARI patients.

The COVID-19 outbreak in our environment has caused significant changes in the population. The main objective of this research project is to evaluate the level of physical activity, psychological state and sleep during the COVID-19 pandemic in different populations.

Lung immaturity is a major issue in neonatal unit.The surfactant administration improves the pulmonary prognosis in premature infants with hyaline membrane disease who escape continuous positive airway pressure (CPAP). This surfactant had been administered at 5h25min of life in Saint Etienne from 2016 to 2019. Studies suggest that the earlier the surfactant is administered, the more it can reduce the rate of bronchodysplasia and mortality. And some studies show a pulmonary ultrasound could help to administrate the surfactant earlier This is why a new faster strategy for diagnosing preterms needing surfactant will be usefulness and have been done in Saint-Etienne since 2021 thanks to a ultrasound score (LUS).

In this observational study follow-up and dynamic observation will be conducted on the participants recovered from pneumonia caused by COVID-19. The main goal is an early diagnosis and detection of myocardial (heart) injury and quality of life in participants recovered from COVID-19 and follow-up in selected participants with present signs of myocarditis and/or myocardial fibrosis.

This study aims to address the following three objectives: Longitudinal evaluation of the development of CMI responses in response to SARS-CoV-2 Vaccine: T cells isolated from the blood of COVID-19 vaccine recipients will be evaluated for their functionality in response to vaccine antigens. The temporal and functional properties of CMI responses will be correlated with the humoral or antibody responsiveness. CMI responses will be measured in vaccine recipients prior to vaccination to determine whether the presence or functionality of pre-existing responses to common cold coronaviruses (CCCs) or previous SARS-CoV-2 infections affect the development of CMI responses to the COVID-19 vaccine. Identification of cellular and soluble factors that influence vaccine responsiveness: While it is known that poor clinical outcomes in COVID-19 patients are strongly associated with markers of systemic inflammation, the influence these systemic markers will have on COVID-19 vaccine responsiveness is not clear. Using systems biology approaches, the investigators will perform comprehensive profiling of cellular immune subsets, inflammatory signatures to identify determinants influencing the development of CMI responses to vaccine. Examine variability of immune and viral genes and their relationship to vaccine induced immune responses: Human leukocyte antigen (HLA), T cell receptor (TCR) and B cell receptor (BCR) proteins are highly genetically diverse and critical to development of protective immunity. The investigators will perform HLA sequencing on whole blood-derived DNA samples and TCR and BCR sequencing on sorted, SARS-CoV2 vaccine antigen-specific T cells and B cells, respectively, to assess how different sequence combinations impact the CMI responses to vaccine.

This study is implemented in association with the study "J-TAIL-2" ; prospective multicenter observational study of atezolizumab in patients with unresectable, locally advanced or metastatic non-small cell lung cancer, UMIN study ID: UMIN000041263, to evaluate biomarkers for selection of appropriate patients in treatment with atezolizumab combination therapy.

Patients going through an in vitro fertilization cycle will be asked to participate . Patients will be asked for their COVID-19 exposure : post confirmed disease/post vaccine/not exposed to disease or vaccine . Patients will provide the fluids which are not required , once fertilization process is completed. Patients will also provide 5ml blood sample by the day of procedure. Anti COVID-19 immunoglobulin G type antibodies will be measured in all samples . Data regarding age, date of infection/vaccine will be collected . Progesterone and Estrogen will be measured in female patients' samples and Perlecan level will be measured in follicular fluid.

Chest computed tomography of patients having coronavirus disease (COVID-19) will be analyzed with regards to vascular abnormalities (pulmonary embolism and vascular thickening), and their association with lung inflammation. The prevalence, severity, distribution, and prognostic value of chest CT findings will be assessed. Patients with vascular abnormalities will be compared to patients without, which is supposed to provide insights into the prognostic role of such abnormalities, and the potential impact on treatment strategy.