View clinical trials related to Respiratory Insufficiency.
Filter by:Observational and randomized trials have demonstrated the high effectiveness of non-invasive helmet ventilatory support, demonstrating a reduction in intubation rate mortality compared with high-flow and standard oxygen therapy. Some pilot physiological studies have shown physiological benefits of helmets compared to the oronasal mask for non-invasive ventilation. The purpose of the study is to compare markers of patient self-inflicted lung injury (P-SILI), patient's comfort, work of breathing, gas exchange, and hemodynamics in patients with acute hypoxemic respiratory failure (AHRF) during non-invasive ventilation (NIV) in continuous positive pressure (CPAP) mode during an oronasal mask ventilation or a combination of a helmet with high-flow oxygenation as an air flow generator.
The study aims to find if using a Biphasic Cuirass Ventilation is as effective as using a Non invasive Positive Pressure Ventilation in patients admitted with acute hypercapnic respiratory failure.
High-flow nasal oxygen therapy (HFNO) is an oxygenation technique frequently used in intensive care. The main objective of our study is to show that the use of a protocol for weaning patients off high-flow nasal oxygen therapy (HFNO) in the intensive care unit increases the probability that patients will be weaned from HFNO at Day 7 post-randomisation. This is a open-label multicentre randomised controlled trial conducted in two parallel groups. The primary endpoint is the success rate at Day 7, with success defined as "definitive" weaning from HFNO, i.e. patients weaned from HFNO for more than 48 hours without recourse to non-invasive ventilation (NIV) or intubation and still alive at Day 7. The weaning protocol will be started as soon as the patient meets all the inclusion criteria, considered to be the prerequisites for initiating weaning from HFNO. Patients will be monitored until Day 28 maximum.
The oximeter is used to monitor intensive care patients undergoing oxygen therapy. It indicates pulsed oxygen saturation (SpO2), a reflection of arterial oxygen saturation (SaO2) which enables detection of hypoxemia and hyperoxia, both deleterious state. Current SpO2 recommendations aim to reduce both risk of hypoxemia and hyperoxia. SpO2 is considered the 5th vital sign. Current recommendations for SpO2 targets do not consider the variability of oximeters used in clinical practice. This variability and lack of specification represent an obstacle to an optimal practice of oxygen therapy. Thus, this study aims to compare the SpO2 values of different oximeters (General Electric-GE, Medtronic, Masimo and Nonin) used in clinical practice with the SaO2 reference value obtained by an arterial gas in order to specify the precision and the systematic biases of the oximeters studied. This data will also make it possible to refine the recommendations concerning optimal oxygenation
This is a multicenter study to test a decision-making support process for families and clinicians facing decisions about chronic home ventilation for a child. The investigators hypothesize that the intervention will increase family preparedness for decision-making and will improve clinician-family shared-decision making. Half of families will be assigned to "usual care" arm and half to the "intervention" arm. Intervention families will view the study website with study staff and will answer questions related to website content. All families will be interviewed and surveyed at 1, 6 and 12 months after enrollment. Each family will designate 1-2 physician involved in the decision about home ventilation; each physician will be interviewed and surveyed at 1 month.
Artificial intelligence (AI) shows promising in identifying abnormalities in clinical images. However, systematically biased AI models, where a model makes inaccurate predictions for entire subpopulations, can lead to errors and potential harms. When shown incorrect predictions from an AI model, clinician diagnostic accuracy can be harmed. This study aims to study the effectiveness of providing clinicians with image-based AI model explanations when provided AI model predictions to help clinicians better understand the logic of an AI model's prediction. It will evaluate whether providing clinicians with AI model explanations can improve diagnostic accuracy and help clinicians catch when models are making incorrect decisions. As a test case, the study will focus on the diagnosis of acute respiratory failure because determining the underlying causes of acute respiratory failure is critically important for guiding treatment decisions but can be clinically challenging. To determine if providing AI explanations can improve clinician diagnostic accuracy and alleviate the potential impact of showing clinicians a systematically biased AI model, a randomized clinical vignette survey study will be conducted. During the survey, study participants will be shown clinical vignettes of patients hospitalized with acute respiratory failure, including the patient's presenting symptoms, physical exam, laboratory results, and chest X-ray. Study participants will then be asked to assess the likelihood that heart failure, pneumonia and/or Chronic Obstructive Pulmonary Disease (COPD) is the underlying diagnosis. During specific vignettes in the survey, participants will also be shown standard or systematically biased AI models that provide an estimate the likelihood that heart failure, pneumonia and/or COPD is the underlying diagnosis. Clinicians will be randomized see AI predictions alone or AI predictions with explanations when shown AI models. This survey design will allow for testing the hypothesis that systematically biased models would harm clinician diagnostic accuracy, but commonly used image-based explanations would help clinicians partially recover their performance.
Ultrasound of the diaphragm is an easily reproducible bedside tool that provides a non-invasive measurement of inspiratory muscle function and respiratory efficiency. The diaphragmatic thickness correlates with the strength and muscle shortening and is reflective of its contribution to the respiratory workload. Diaphragm thickening fraction (DTF) has been shown to be predictive of extubation failure in ventilated patients. However, whether measurements of DTF are predictive of high flow nasal cannula (HFNC) outcomes in patients with acute hypoxemic respiratory failure (AHRF) remains unknown. The objective of this study is to identify predictors of HFNC failure by diaphragm ultrasound and to compare its performance with the well-established ROX index.
Right ventricular dysfunction (RVD) and right ventricular-pulmonary arterial (RV-PA) uncoupling detected by transthoracic echocardiography (TTE) in acute respiratory distress syndrome (ARDS) are associated with poor survival. Early detection of RVD and RV-PA uncoupling in patients with acute hypoxemic respiratory failure (AHRF) may be indicative of worsening and decompensating pulmonary condition which may require escalation of respiratory support. The use of TTE parameters in predicting high-flow nasal cannula (HFNC) failure has not been previously studied. The objective of this study is to identify predictors of HFNC failure by TTE and to compare its performance with the well-established ROX index.
This is a confirmatory study without any intervention. It is an uncontrolled, non-randomized and open-label study with measurements made with comparators, and it has a preset hypothesis for the primary endpoint. There are no similar devices to VitalThings Guardian M10 / M10 mobile on the market, consequently one or more different types of devices must be used as comparators.
There has been increasing use of venoarterial (VA) extracorporeal membrane oxygenation (ECMO) for infants with respiratory failure, up to 92% of neonatal respiratory support in 2021. This study seeks to leverage the increased use of VA ECMO in this cohort to enrich an evaluation of the differences in rate of intracranial hemorrhage and ischemic stroke between venovenous (VV) and VA ECMO among infants with respiratory failure where clinicians may choose either strategy. This project is a retrospective review of data in the ELSO registry.