View clinical trials related to Respiratory Failure.
Filter by: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.
The goal of this interventional study is to compare standard mechanical ventilation to a lung-stress oriented ventilation strategy in patients with Acute Respiratory Distress Syndrome (ARDS). Participants will be ventilated according to one of two different strategies. The main question the study hopes to answer is whether the personalized ventilation strategy helps improve survival.
This study targets adult patients treated with high flow nasal cannula (HFNC) at emergency department (ED) of Severance hospital, Yonsei university. Patients with acute hypoxic respiratory failure presenting to the ED receive conventional oxygen therapy as initial treatment unless immediate endotracheal intubation is required. Partial rebreathing oxygen masks are mainly applied at first. If the patient's condition does not improve despite such treatment, the patient receives HFNC or endotracheal intubation. However, possible treatment range have not been studied, especially in ED. Decisions are made based on the personal experience of the medical staff in charge. Applying HFNC to patients who eventually fail can lead to delayed intubation and increased mortality. Failure prediction models such as ROX index and HACOR score have been developed due to such reasons. However, such models are mostly based on intensive care unit studies and after application of HFNC. Therefore, failure prediction model at the time before application of HFNC and efficacy of existing models in ED are necessary. This study is a prospective observational study and follows the standard treatment guidelines applied to the patient and the judgment of the attending physician during the patient's treatment process. Immediately before applying HFNC, the patient's respiratory rate, pulse rate, blood pressure, SpO₂, PaO₂, PaCO₂, GCS score are determined, and FiO₂ is measured above upper lips using oxygen analyzer(MaxO2+AE, Maxtec, USA). From these data, ROX index (SF ratio/respiratory rate), ROX-HR (ROX index/pulse rate), POX index (PF ratio/respiratory rate), POX-HR (POX index/pulse rate), and HACOR score (Heart Rate, Acidosis, Consciousness, Oxygenation, Respiratory rate) are calculated. The settings (flow rate, FiO₂, temperature) at the time of HFNC application are also measured. The same indices and HFNC settings are checked 30 minutes, 1 hour, 2 hours, 4 hours, 6 hours, and 12 hours after applying HFNC. Modified Borg score and comfort scale using 5-point Likert scale are additionally determined at 30 minutes for patient's comfort. Primary outcome is HFNC failure at 28 days, defined by endotracheal intubation. Other outcomes include intubation in ED and mortality at 28 and 90 days collected through phone interview. The receiver operating curve for ROX index, HACOR score, ROX-HR, and POX-HR at baseline, 30 minutes, 1 hour, 2 hours, 4 hours, 6 hours, and 12 hours are drawn for the outcomes. The area under the curve of the above indices are compared and cutoff values are chosen with maximum value of index J by the Youden's Index. A binary variable is created based on the cutoff values and multivariable logistic regression analyses are performed. Cutoff values for maximum specificity are also invested suggesting the lower limit of the indicator to which HFNC can be applied.
The goal of this observational study is to establish an intelligent early warning system for acute and critical complications of the respiratory system such as pulmonary embolism and respiratory failure. Based on the electronic case database of the biomedical big data research center and the clinical real-world vital signs big data collected by wearable devices, the hybrid model architecture with multi-channel gated circulation unit neural network and deep neural network as the core is adopted, Mining the time series trends of multiple vital signs and their linkage change characteristics, integrating the structural nursing observation, laboratory examination and other multimodal clinical information to establish a prediction model, so as to improve patient safety, and lay the foundation for the later establishment of a higher-level and more comprehensive artificial intelligence clinical nursing decision support system. Issues addressed in this study 1. The big data of vital signs of patients collected in real-time by wearable devices were used to explore the internal relationship between the change trend of vital signs and postoperative complications (mainly including infection complications, respiratory failure, pulmonary embolism, cardiac arrest). Supplemented with necessary nursing observation, laboratory examination and other information, and use machine learning technology to build a prediction model of postoperative complications. 2. Develop the prediction model into software to provide auxiliary decision support for clinical medical staff, and lay the foundation for the later establishment of a higher-level and more comprehensive AI clinical decision support system.
Mechanical ventilation is essential in the management of patients in Intensive Care. The approach to patients with prolonged weaning is challenging.In this context, it is vital to implement "diaphragmatic protection" strategies, which consist of programming the level of ventilator assistance focused on sustaining the muscular effort within an objective range. The reference method for measuring inspiratory effort is the Pressure-Time Product (PTP) of the esophagus. Recently, Bertoni et al. proposed the measurement of Occlusion Pressure as a non-invasive method, without the need to assess esophageal pressure, to estimate the magnitude of the effort and program assistance. Although it is a validated measurement for quantifying effort, it does not consider the duration of the effort performed by the patient, as well as the respiratory rate, two fundamental variables in terms of tolerance to the load. Therefore, the investigators propose the following study that will seek to validate the measurement of PTP in from the Occlusion Pressure, but considering inspiratory time and respiratory rate to obtain PTP per breath and per minute.
The purpose of the study is to conduct a pilot randomized trial of a program designed to enhance equitable communication and emotional support for families of critically ill patients in order to determine feasibility, acceptability, and participant experience with the program. The primary study procedures include: chart abstraction, questionnaires, meetings with ICU support counselors, meetings with ICU physicians and care team, audio recordings of these meetings (optional), and interviews with study participants (optional). Study participants include: 70 critically ill patients with acute respiratory failure (enrolled with the consent of their Legally Authorized Representative) and their primary surrogate decision makers as well as ICU support counselors and ICU care teams (physicians, nurses, social workers).
This is study aim to compare between high flow nasal canula (HFNC) and non invasive positive pressure ventilation (NIPPV) in reducing the rate of reintubation in mechanically ventilated patient with successful weaning
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.
the introduction of new MV modalities has shown promising results in reducing the incidence of weaning failure, mainly due to a more physiologic approach which allows respiratory muscle preservation. Among them, the Neurally Adjust Ventilatory Assist (NAVA) seemed to be associated with lower incidence of weaning failure and subsequent duration of mechanical ventilation, compared to standard modalities like the Pressure Support Ventilation (PSV) . Moreover, NAVA allows the evaluation of the diaphragm electrical activity (EAdi), an index of diaphragmatic neural respiratory drive. However, no study has compared TFic values during PSV and NAVA modalities in patients with difficult weaning from MV admitted in ICU.