View clinical trials related to Respiratory Insufficiency.
Filter by: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.
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.
Unfractionated heparin (UFH) is worldwide anticoagulation used and recommended anticoagulation in patients with ECMO support. However, it is accompanied with incidence of bleeding or thrombotic compliaction at about 40-60% and high mortality. Because ECMO produce primary haemosthasis pathology, there is a theory that prophylaxis of thrombosis with low molecular weight heparin (LMWH) e.g. Enoxaparin might be sufficient to prevent ECMO throbosis and thrombosis development in patients. We decided to performed retrospective observation study and analysis of data, from may 2019 until august 2023, in all patients who were put on VV ECMO and to analysis incidence of bleeding, thrombotic and neurologic complications.
COVID-19 infection was identified in Wuhan, China at the end of 2019 and turned into a pandemic in a short time. In our country, the pandemic continues at full speed and patients are being treated in various clinical pictures. In its clinical classification, the World Health Organization (WHO) divides COVID-19 disease into four stages: mild symptomatic disease, pneumonia, severe pneumonia, acute respiratory distress syndrome (ARDS), sepsis and advanced stage with septic shock. Case reports and cross-sectional studies report a list of more than 200 different symptoms in the development of post COVID-19 syndrome. Shortness of breath, persistent smell and taste disturbances, fatigue and neuropsychological symptoms (headache, memory loss, slowed thinking, anxiety, depression and sleep disturbances) are the most commonly reported symptoms. Musculoskeletal symptoms such as pain (myalgia), muscle weakness, arthralgia and fatigue are also common. Exercise endurance tests are used to predict the prognosis of the disease in chronic lung diseases, to determine functional exercise capacity, to evaluate the response of the disease to treatment and to interpret the results of clinical trials. Covid-19-induced lung infections and long periods of isolation may have negative effects on respiratory muscle strength, pulmonary function values and physical activity level. It has been reported that only one week of bed rest can cause serious muscle loss of up to 20%. Covid-19 infection increases the likelihood of asthma-like symptoms. In some cases, pneumonia and increased dyspnea are also seen. When volleyball players with Covid-19 infection were examined, respiratory muscle strength and fev1/fvc values were lower than expected. When looking at the interaction between infections and sleep, it was observed that different infections had different effects on sleep, with some infections increasing the amount of sleep while others decreased it. The increase in inflammatory mediators associated with systemic infection is thought to increase the amount of REM sleep and total sleep duration, perhaps in an effort to conserve energy and counteract infection. Some infections have a negative effect on the immune system, reducing the amount of sleep. Covid infection is also thought to have negative effects on sleep. The symptoms of COVID-19 in the chronic phase can further negatively affect physiological, psychological and social outcomes, physical activity and ultimately muscle performance and quality. Post-infection physical function and fitness can worsen even two years after the disease. In COVID-19 patients recovering 3 months after hospital discharge, limitations were mainly related to reduced muscle mass, low oxidative capacity or both, rather than cardiac or respiratory exercise limitation. Symptoms experienced during Covid-19 infection are thought to have negative effects on exercise endurance. In order to meet the metabolic needs of the musculoskeletal system muscles during exercise, cardiac output, ventilation, pulmonary and systemic blood flow, oxygen and carbon dioxide exchange in a way to maintain acid-base balance and oxygenation, and their compatible response to each other are required. Exercise endurance assessments are an important parameter to determine the functional level of the patient. Eighty-eight percent of individuals with Covid-19 infection showed a decrease in respiratory muscle strength in the evaluation performed 5 months later. The direct effect of respiratory muscles may cause permanent dyspnea problems. Muscle strength, exercise capacity, dyspnea perception, fatigue severity perception, pain, balance, kinesiophobia, psychosocial and cognitive status, quality of life should be routinely evaluated in the post-COVID-19 period in patients admitted to the clinic, and a targeted functional rehabilitation program should be prepared in the light of these evaluations, taking these parameters into consideration during the rehabilitation process.
The goal of this clinical trial is to evaluate if neural pressure support ventilation is able to improve patient-ventilator synchrony, in ICU patients undergoing non-invasive ventilation (NIV). The main question it aims to answer is: • Is neural pressure support ventilation better than the pressure support ventilation with respect to patient-ventilator synchrony during helmet NIV? Researchers will compare neural pressure support ventilation versus pressure support ventilation (Gold standard assisted mode in Europe) to see if the new mode improve patient-ventilator synchrony.
This prospective, blinded observational clinical study was aimed to determine the effect of hyperhydration and muscle loss measured by Bioelectrical impedance vector analysis (BIVA) on mortality. The aim was to compare hydratation parameters measured by BIVA: OHY, Extracellular Water (ECW) / Total Body Wate (TBW) and quadrant, vector length, phase angle (PA) with cumulative fluid balance (CFB) recording (input-output) in their ability in predicting mortality as the abilities of the prognostic markers PA (BIVA), Acute Physiology and Chronic Health Evaluation II (APACHE II - score) and presepsin (serum Cluster of Differentiation (CD) 14-ST). The investigators also compared BIVA nutritional indicators (SMM, fat) with BMI and laboratory parameters (albumin, prealbumin and C-reactive protein (CRP) inflammation parameters) in the prediction of mortality. An important goal was to evaluate the usability of the BIVA method in critically ill patients on extracorporeal circulation, to compare the impedance data of the extracorporeal membrane oxygenation (ECMO) and non-ECMO groups.
The aim of this study is to identify existing definitions and therapeutic approaches for acute right ventricular injury (RVI) in patients receiving extracorporeal membrane oxygenation (ECMO) for respiratory support. The objective of the study is to generate expert consensus statements on the definition and management of acute RVI in this high-risk patient population, using a Delphi method. The standardised RVI definition during ECMO for respiratory support and a consensus-based management approach to RVI will facilitate systematic aggregation of data across clinical trials to harmonise patient selection and compare therapeutic interventions.
In this preliminary, crossover investigation the investigators will examine the effect of oxygen supplementation on the recovery of breathing in the immediate post-anesthesia period.
The objective of our study is to evaluate the effectiveness of prone position in preventing intubation or death in spontaneously ventilated patients with COVID-19 with acute respiratory failure.