Active clinical trials for "Respiration Disorders"

Many connected objects available over-the-counter to the general public claim to measure physical quantities that may have a medical application. Examples include heart rate, oxygen saturation, respiratory rate, blood pressure, body composition between body fat, lean mass and bone mass, and motion analysis. . The continuous collection of these quantities by a cheap and easily accessible device opens important medical perspectives in the areas of home monitoring of chronic diseases or preventive medicine in general. Nevertheless, the medical decisions that could be made on the basis of the information provided by these objects require that the measurement be reliable, which is not always the case. The evaluation of the accuracy of measurements made by these objects therefore seems to be a prerequisite for future use in a medical context. This study therefore proposes to test the adequacy between "gold-standard" measurements carried out in consultation in the department of functional explorations of the Bichat Claude-Bernard hospital and the measurements of the same parameters by connected objects, under the conditions of intended uses by their manufacturer.

The Electrical Impedance Tomography (EIT) is a non-invasive exam. This exam performed on the lung continuously produces cross-sectional images of lung function. It may be relevant in lung description.

The purpose of the CircumVent Project is to evaluate the feasibility, adaptability and acceptability of a CPAP/O2 helmet solution for non-invasive ventilation among patients with COVID-19 and health workers in eight COVID-19 treatment and isolation centers in Nigeria.

Aging of the population is dramatically increasing the number of hospitalized patients, with the consequent challenges of limited medical personnel and resources in hospitals. Wireless technologies that create highly connected healthcare environments are developed to help hospitals address these issues, once these technologies are perfectly integrated in the hospital environment with respect to IT infrastructure for big data storage. Such devices have proven remarkable efficiencies in monitoring patients with high patient safety, data accuracy and security, which are essential to provide high quality patient care, reduce health-related costs and optimize the management of high numbers of patients. Cough is the most common condition that results in a visit to the physician. Often coughs are benign, but sometimes can be the sign of exacerbations of a chronic respiratory disease. Exacerbations are defined in the Global Initiative for Chronic Obstructive Lung Disease (GOLD) document "as an acute event characterised by a worsening of the patient's respiratory symptoms that is beyond normal day-to-day variations and leads to a change in medication". It is assumed that, if coughs were remotely monitored, hospitals might be unburdened, patients would be empowered to self-manage their health, and that prevention of serious respiratory diseases might be facilitated, thus improving health outcomes. Unfortunately, remote monitoring for cough that rely on self-reporting is impractical, as patients do not record data very reliably. On the contrary, a microphone on the bedside table connected to a medical data analysis platform might monitor patients' cough exacerbations at night and alert the medical staff immediately.

The use of POCUS in pediatrics is gaining momentum, and whilst pediatric specific data remains limited when compared to adult critical care, there is growing pediatric evidence demonstrating the high sensitivity and specificity of lung POCUS in the diagnosis of pneumonia, bronchiolitis, pleural effusion and pneumothorax. the American Academy of Pediatrics policy statement cautions that "clinicians should be aware that point of care ultrasonography is better used as a rule in and not a rule out diagnostic modality".

This research proposal has two main objectives. The first is to increase understanding of the underlying physiological interactions that occur between the cardiovascular, pulmonary, and ANS during transition between positive pressure mechanical ventilation (MV) and spontaneous breathing. The second is to determine if heart rate variability, (HRV) a reflection of autonomic nervous system (ANS) activity, and autonomic information flow (AIF), a set of nonlinear measures derived from HRV, both measured in the intensive care unit (ICU) can predict patient outcomes including successful weaning and in-hospital recovery time after an episode of cardiopulmonary compromise requiring MV. Hypothesis 1. Transitions between mechanically supported ventilation and spontaneous breathing will disturb cardiovascular synchrony, altering the relationship of HRV, AIF, respiratory rate, and blood pressure; Hypothesis 2. More normal HRV and AIF values, measured during baseline MV and sedation awakening (a period immediately prior to SBT when sedative medications are discontinued) will be associated with easier weaning, and shorter intensive care unit (ICU) and hospital lengths of stay; more abnormal measurements will be associated with longer lengths of stay; Hypothesis 3. AIF is a more sensitive predictor of successful weaning from MV than HRV.

The study aims to investigate the impact of pharmacist delivered interventions on hospice patients quality metric scores.

The objective of the present study is to describe the negative impact on oral and gut microbiota of a severe acute respiratory syndrome SARS-CoV-2 infection in patients hospitalized in intensive care units (ICU). The study would like to compare their microbiota to the microbiota of ICU patients, non-infected by the SARS-CoV-2.

This observational clinical trial is designed to confirm whether RESP™ Biosensor could be deployed to support clinical decision making in challenging pediatric cases, minimize clinician-to-clinician variability in lung sound interpretation, obviate the need to disrupt change of shift or chart rounds with physicians, and create a durable archive of the patient's lung sounds for longitudinal comparison within or across hospitalizations.

Health2016 is a general population cross-sectional study aimed at completing af monitoring program for monitoring chronic disease and risk factors in the period 2006 to 2016. Similar studies have been performed in 2006, 2010, and 2013.