Active clinical trials for "Lung Injury"

Efforts to identify circulating factors that predict severity of acute lung injury/acute respiratory distress syndrome（ALI/ARDS）patients is unrevealing. The primary purpose of this study is to verify circRNAs and microRNAs might be potential novel ALI/ARDS biomarkers and could play roles in pathogenesis of ALI/ARDS.

The purpose of this work is to perform hyperpolarized (HP) 129Xe MRI in human subjects undergoing thoracic radiation therapy (RT), both before, during and following RT. HP 129Xe MR images will be analysed to provide maps of ventilation (V), perfusion (Q), apparent diffusion coefficient (ADC) and gas exchange. These results will be combined to yield a new measure of RILI, (i.e. dose volume histograms; DVHV/Q) and compared with conventional dose volume histograms (DVH), pulmonary function tests (PFTs), quality of life (QOL) questionnaire and CT measurements for assessment of RILI at each time point. The aim is to development a novel method for early and more sensitive method of detecting RILI before irreversible lung damage happens.

The exosomes in the experimental group and the control group were sequenced to find the difference of the two groups, providing a basis for subsequent basic research.

In the process of acute respiratory distress syndrome (ARDS), alveolar macrophages can secrete a large number of autophagosomes to mediate the inflammatory response of ARDS and aggravate the pathological damage of the lungs. At the same time, the meta-transcriptome can detect the expression of all genes without a reference genome. This study intends to explore that Whether the alveoli macrophage-derived autophagosomes are related to the severity and prognosis of ARDS, and try to construct a recognition model to predict the prognosis of ARDS.

The study will have two separate patient cohorts: Cohort 1 will include patients with newly diagnosed chronic graft versus host disease (GVHD), whereas cohort 2 will include patients with newly diagnosed chronic lung disease (CLD). For cohort 1, the primary objective will be to characterize PRM metrics at the onset of chronic GVHD and determine if a PRM signature is present that will predict 1-year CLD free survival. For cohort 2, the primary objective will focus on characterizing PRM at the onset of CLD and determine if PRM can predict the trajectory in lung function decline in affected patients.

This is an ancillary study, thus participants will be recruited from participants in the HBS Study. This project acutely assesses the role of the e-cigarettes and vaping on lung health. The proposed work will inform the design of future studies to better understand vaping's health consequences and to test novel interventions to mitigate vaping's contribution to acute and/or chronic lung injury.

Acute Respiratory Distress Syndrome (ARDS) reflects the hallmark of the critical course of coronavirus (COVID19). The investigators have recently shown that Exhaled Breath Particles (EBP) measured as particle flow rate (PFR) from the airways could be used as a noninvasive real-time early detection method for primary graft dysfunction (which bears a pathophysiological resemblance to ARDS) in lung transplant patients. The investigators have also previously demonstrated the utility of PFR in early detection and monitoring of ARDS in a large animal model. PFR has been shown to be elevated prior to the cytokine storm which classically occurs in ARDS. Early detection of ALI and ARDS is intimately linked to a patient's chance of survival as early treatment consisting of the preparation for intensive care, prone positioning and protective mechanical ventilation can be implemented early in the process. In the present study the investigators aim to use real-time PFR as an early detector for COVID19-induced ARDS. The investigators will also collect EBPs onto a membrane for subsequent molecular analysis. Previous studies have shown that most of those proteins found in bronchoalveolar lavage (BAL) can also be detected in EBPs deposited on membranes. The investigators therefore also aim to be able to diagnose COVID19 by analyzing EBPs using Polymerase Chain Reaction (PCR) with the same specificity as PCR from BAL, with the added benefit of being able to identify protein biomarkers for early detection of ARDS.

Acute type A aortic dissection is often accompanied by postoperative pulmonary complications, the cause of which is not fully understood.Angiotensin II is an important component of the renin-angiotensin system (RAS), which has been suggested to be involved in the development of aortic dissection and pulmonary inflammation.The purpose of this study was to investigate the role and mechanism of angiotensin II pathway in postoperative pulmonary complications after acute type A aortic dissection, and to provide reference for clinical application

The primary objective of the study is to create a small dataset of regional pulmonary strain values in patients suffering from pulmonary diseases under mechanical ventilation in an intensive care setting. Hypothesis: The analysis of lung ultrasonographic sequences using speckle-tracking allows the determination of local pleural strain in 4 predetermined pulmonary areas in mechanically ventilated patients suffering from pulmonary diseases.

Introduction: Sepsis-induced acute respiratory distress syndrome(SI-ARDS) is a common complication of severe sepsis and is an independent contributor to poor prognosis of patients. It remains a clinical challenge to identify the SI-ARDS early and accurately, which could optimize the treatment strategy and reduce the mortality risk. Radiomics high-dimensional features extracted from CT images offer an insight into microvascular damage of SI-ARDS that are imperceptible to human eyes and aspects of intra-alveolar heterogeneity with potential prognostic relevance. Methods: Study design Investigators screened all patients with sepsis and septic shock who are treated in Sun Yat-sen Memorial Hospital, Sun Yat-sen University during the period from 1 May 2015 and 30 May 2022. Patients were recruited retrospectively from May 2015 to April 2021 as discovering group, and prospectively during the period from May 2021 to May 2022 as validation group. Follow-up will conducted until April 2023. Cohort descriptions and definitions Investigators plan to recruit 160 patients in discovering group, 40 patients in internal validation group, and 100 patients in external validation group. Patients between 18 and 80 years of age with sepsis and septic shock will be screened for eligibility. SI-ARDS is defined by sequential occurrence of the sepsis-3 consensus criteria for sepsis and the Berlin Definition for ARDS. The exclusion criteria are： admission stay <24hours, the presence of end-stage lung disease or long-term oxygen therapy, critically ill patients who have started mechanical ventilation caused by SI-ARDS before admission, a history of lung transplantation and chronic obstructive pulmonary disease, cancer patients not/have received chemotherapy. Outcome measures In this study, the primary outcome measure was the occurrence rates of acute respiratory distress syndrome(ARDS). It refers to the occurrence of sepsis patients progressed into ARDS. Secondary outcome measures were as follows: 1.28-day mortality 2.ventilator-free days 3.respiratory failure-free days Data collection All clinical data were collected by investigators and trained personnel. Each participant's data will be filled in electronic case report forms (CRF) and store online using REDCap (Research Electronic Data Capture). Discussion: SI-ARDS is one common severe complication with critically ill sepsis patients, which causes high mortality and poor prognosis. Early ARDS patient(arterial oxygen tension/inspired oxygen fraction [PaO2/FIO2] ≤ 300 mmHg but > 200 mmHg) may not require invasive mechanical ventilation, and is more readily reversible than acute respiratory distress syndrome(ARDS). In this ambispecive cohort study, investigators developed and validated novel nomograms incorporating the radiomics signature and clinical signature to provide an easy-to-use and individualized prediction of SI-ARDS occurrence and severe degree in patients with early stage.