Active clinical trials for "Pneumonia"

This project aims to use artificial intelligence (image discrimination) algorithms, specifically convolutional neural networks (CNNs) for scanning chest radiographs in the emergency department (triage) in patients with suspected respiratory symptoms (fever, cough, myalgia) of coronavirus infection COVID 19. The objective is to create and validate a software solution that discriminates on the basis of the chest x-ray between Covid-19 pneumonitis and influenza

This study aims at determining clinical presentations and outcomes of patients with covid-19 pneumonia and also follow up of patients for up to 6 months to detect possibility of post covid fibrosis

According to usual practices, HIV testing should be performed for each patient diagnosed for pneumococcal pneumonia. Unfortunately, in 2018, only 27% of patients were tested for HIV following pneumococcal pneumonia in Nice University Hospital. The aim of PneumoVIH protocol is to promote HIV testing by reminding good practices to physicians. To achieve this, the team of the bacteriology laboratory will contact physicians for each patient positive for pneumococcal antigenuria to suggest HIV testing. This prospective public health action will aim to integrate this HIV test into routine care and to evaluate benefits through the number of HIV positive patients that will be diagnosed.

This study investigates the diagnostic performance of an AI algorithm in the detection of COVID-19 pneumonia on chest radiographs.

The investigating group aims at performing an observational, prospective study that involves the evaluation of circulating biomarkers predictive of clinical evolution in patients suffering from COVID-19 disease. In particular, the aim will be to verify whether there are transcripts or cytokines / chemokines in peripheral blood, modulated differently in patients with COVID-19, distinguished on the basis of the evolution towards more severe clinical pictures that require patient intubation or that show signs of cardiovascular damage. The study will be based on the transcriptional analysis of the entire genome and serum protein to evaluate the expression of a broad spectrum of cytokines and chemokines. Genome analysis will allow the genotype to be correlated to the identified gene expression profiles.

Background: in various pediatric pulmonary diseases such as asthma, cystic fibrosis or bronchopulmonary dysplasia an increased inflammation is present. Measuring this inflammation is often hardly possible and requires invasive techniques such as bronchoscopy. With the use of exhaled breath condensate (EBC) or exhaled breath (EB) analysis it is possible to measure the inflammation in an non-invasive way. However, there is a great need to further standardise these measurements and to identify possible confounding factors.

There is a rare condition causing scarring of the lungs termed interstitial lung disease. This comprises a group of conditions which can be divided into separate diseases. The aim of this study is compare a group of patients (the cases) with 2 types of this disease (fibrotic non-specific interstitial pneumonia (NSIP) and idiopathic pulmonary fibrosis (IPF)) with patients without the disease. The study will look at the 2 groups and their exposures to factors such as medications, smoking, previous jobs, previous medical problems and specifically heart disease and any operations or procedures involving the heart. There have been previous studies showing a link between heart disease and scarring of the lungs. This study will look at whether this association is stronger in one or the other type of lung scarring diseases.

Pneumonia in general and CAP in particular is considered as one of the most common bacterial infections, associated with high rates of morbidity and mortality and is highly significant economically since all respiratory infections, and pneumonia especially, cause about 80% of antimicrobials use in the community. The high frequency of respiratory infections and the excessive use of antimicrobials are major contributors to the development of pathogens resistant to antimicrobials. In addition, in CAP almost all patients are treated empirically, without identification of causing pathogen. Aim of study: To identify common pathogens causing CAP in hospitalized patients in north Israel.

Interstitial lung diseases (ILD) represent a frequent complication of connective tissue diseases (CTDs), especially systemic sclerosis, idiopathic inflammatory myopathies and rheumatoid arthritis. ILD can either occur during CTD course or be the first manifestation of CTDs. Therefore screening patients with ILD for CTD is crucial. In some cases, ILD are associated with clinical and/or serological autoimmune features but not classifiable for CTDs. Evolution of these forms to defined CTDs has never been study. Recently, the European Respiratory Society/American Thoracic Society experts proposed a new term, "interstitial pneumonia with autoimmune features" or IPAF, to describe these patients according to updated classification criteria. Aims of this study were to compare CTD occurence during follow-up between IPAF and non-IPAF patients in a idiopathic interstitial pneumonia cohort and to identify risk factors of CTD progression in IPAF patients at diagnosis.

Hypoxemic acute respiratory failure is one of the main COVID-19 patients complication that lead to in intensive care hospitalization. This complication determines a variable mortality from 25 to 30%. To correct hypoxemia (often severe) is often needed non-invasive or invasive mechanical ventilation. Mechanical ventilation is not a therapeutic strategy, but it allows to extend the time-to-recovery necessary to solve COVID-19 respiratory failure cause. Calibration of ventilatory support is essential to ensure adequate time-to-recovery without contributing to onset lung and / or diaphragmatic damage. Basal diaphragmatic activity assessment, device for administering the oxygenation support choice and setting ventilatory support parameters are decisive. Ultrasound is the best method for measuring diaphragmatic work. The aim of this study is to evaluate the diaphragmatic thickening fraction in COVID-19 patients admitted to Intensive Care Unit (ICU) for acute respiratory failure and to record its function on weaning.