View clinical trials related to Mechanical Ventilation.
Filter by:The aim is to describe the incidence, characteristics, risk factors and outcome of complications acquired under mechanical ventilation (called ventilator-associated events) according to the new CDC criteria, in a population of patients admitted in intensive care unit after cardiac arrest.
The goal of this clinical trial is to learn if oxycodone hydrochloride works to manage pain in patients requiring mechanical ventilation. It will also assess the safety of oxycodone hydrochloride. The main questions it aims to answer are: 1. Does oxycodone hydrochloride effectively lower the CPOT (Critical Care Pain Observation Tool) score in mechanically ventilated patients? 2. What medical problems do participants have when using oxycodone hydrochloride? Researchers will compare oxycodone hydrochloride to remifentanil to see if oxycodone works better to manage pain in these patients. Participants will: - Receive either oxycodone hydrochloride injection at a dose of 0.03-0.2 mg/kg/h or remifentanil injection at a dose of 2-9 μg/kg/h. - Have their pain scores assessed every 15 minutes until the CPOT score is less than 3. After reaching the target pain score, assessments will be done every 4 hours. - Have their vital signs and monitoring data recorded. - Have analgesia and sedation scores recorded from days 1 to 7 after administration, with drug dosages adjusted based on pain scores. - Have the incidence of adverse reactions and changes in gastrointestinal function observed and recorded from days 1 to 7 after administration. - If extubated within 7 days, relevant data will be collected based on the time of extubation. - Be followed up on day 28 through the electronic medical record system to gather data on the extubation success rate and incidence of complications within the 28-day period.
The goal of this physiological intervention study is to unravel the (patho)physiological mechanisms and potential clinical benefits of a pre-specified early switch from controlled to assisted ventilation in mechanically ventilated adult patients with acute hypoxemic respiratory failure (PaO2/FiO2 ratio < 200 mmHg). The intervention is that participants will be switched from controlled to assisted ventilation when PaO2/FiO2 ratio > 200 mmHg. The primary endpoint is the change in regional lung stress (as derived by electrical impedance tomography) when switching from controlled to assisted ventilation and until a successful or failed switch.
The goal of this clinical trial is to compare weaning from mechanical ventilation in critically ill children. The main questions it aims to answer are: - Will weaning with neurally adjusted ventilatory assist (NAVA) mode ventilation result in shorter ventilator day than synchronised intermittent mandatory ventilation (SIMV) mode? - Will weaning with NAVA mode ventilation result in shorter paediatric intensive care unit (PICU) length of stay than SIMV mode? Participants will be randomised to NAVA or SIMV group for weaning from mechanical ventilation, then PICU outcomes from both groups will be collected, analysed and compared.
Conventional continuous mandatory mechanical ventilation relies on the passive recoil of the chest wall for expiration. This results in an exponentially decreasing expiratory flow. Flow controlled ventilation (FCV), a new ventilation mode with constant, continuous, controlled expiratory flow, has recently become clinically available and is increasingly being adopted for complex mechanical ventilation during surgery. In both clinical and pre-clinical settings, an improvement in ventilation (CO2 clearance) has been observed during FCV compared to conventional ventilation. Recently, Schranc et al. compared flow-controlled ventilation with pressure-regulated volume control in both double lung ventilation and one-lung ventilation in pigs. They report differences in dead space ventilation that may explain the improved CO2 clearance, although their study was not designed to compare dead space ventilation within the group of double lung ventilation. Dead space ventilation, or "wasted ventilation", is the ventilation of hypoperfused lung zones, and is clinically relevant, as it is a strong predictor of mortality in patients with the acute respiratory distress syndrome (ARDS) and is correlated with higher airway driving pressures which are thought to be injurious to the lung (lung stress). This trial aims to study the difference in dead space ventilation between conventional mechanical ventilation in volume-controlled mode and flow controlled-ventilation.
The aim of this study is to test the effect of 1week of extracorporeal diaphragm pacing (EDP) combined either with or without tilt table verticalization (TTV) on diaphragm function in patients with mechanical ventilation compared to conventional physiotherapy (CPT).
Weaning and extubation are essential steps for the management of critically ill patients when mechanical ventilation (MV) is no longer required. Extubation failure (EF) occurs in approximately 10-30% (1,2) of all patients meeting the readiness criteria and have tolerated a spontaneous breathing trial (SBT). EF is associated with prolonged MV, as well as increased morbidity and mortality (2). Therefore, the early identification of critically ill patients who are likely to experience EF is vital for improved outcomes. EF can result from different factors (respiratory, metabolic, neuromuscular), particularly cardiac factor, and can be caused by the inability of the respiratory muscle pump to tolerate increases in the cardiac and respiratory load (1,3). Respiratory drive represents the intensity of the neural stimulus to breathe. In mechanically ventilated patients, it can be abnormally low (i.e., suppressed or insufficient) or abnormally high (i.e., excessive), and thus result in excessively low or high inspiratory effort, leading to potential injury to the respiratory muscles (i.e., myotrauma) (4,5) or to the lungs. A high incidence of abnormal drive (low or high) may explain the high incidence of diaphragm dysfunction at time of separation from mechanical ventilation (6). Airway occlusion pressure (P0.1) is the drop in airway pressure (Paw) 100 milliseconds after the onset of inspiration during an end-expiratory occlusion of the airway (7). P0.1 measurement is not perceived by the patient and does not influence respiratory pattern. It is, in theory, a reliable measure of respiratory drive because the brevity of the occlusion explains that it is not affected by patient's response to the occlusion and it is independent of respiratory mechanics (8). P0.1 has also been correlated with inspiratory effort (9, 10) and it has been shown that in patients under assisted mechanical ventilation P0.1 might be able to detect potentially excessive inspiratory effort (11). P0.1 is a non-invasive measure and clinically available at bedside since currently nearly all modern ventilators provide a means of measuring it. Originally, a high P0.1 during a spontaneous breathing trial was associated with failure, suggesting that a high respiratory drive could predict weaning failure. However, only a few and old clinical studies investigated the association between P0.1 and extubation failure (EF) and were not conclusive (12,13). We hypothesized that patients with EF would have increased P0.1 values during spontaneous breathing trial (SBT). Therefore, the aims of our study will be to (1) to evaluate the ability of changes in P0.1 (Delta-P0.1) during SBT to predict EF and (2) to assess if Delta-P0.1 is an independent predictor of EF.
The purpose of this clinical trial is to determine whether different types of ventilator settings during surgery change the relationship between the pressures in the lungs and the function of the heart. In this study, patients will be randomly assigned (like flipping a coin) to receive either standard or individualized (research) lung protective ventilator settings. Before surgery, patients will be given an 8-item verbal questionnaire about any respiratory symptoms. After patients are asleep for surgery, an ultrasound probe will be inserted into the esophagus (food pipe) and stomach to examine the heart and lungs and take ultrasound pictures. The ultrasound probe is then removed. Next, a small balloon catheter (a narrow tube smaller in diameter than a pencil lead) will be placed in the esophagus, where it will be used to measure the pressures in the chest and lungs. For patients who are assigned to standard ventilator settings, the ventilator settings and pressures during surgery will be recorded. For patients assigned to individualized (research) ventilator settings, the pressures from the balloon catheter will be used to adjust the ventilator settings every 30 minutes during surgery. A second ultrasound pictures of the heart and lungs will be obtained at the point at which the patient is placed into the Trendelenburg position. At the end of surgery and before the patient is awake, the balloon catheter will be removed, the ultrasound probe will be inserted, a third set of ultrasound pictures of the heart and lungs will be obtained, and the ultrasound probe then removed. Patients will be telephoned 30 days after surgery to ask about their recovery. The 8-item respiratory symptom questionnaire will be repeated at this time.
This study aims to compare the accuracy of the total thoracic fluid content (TFC) measured by electrical cardiometry with accuracy of lung ultrasound score in prediction of weaning outcome in mechanically ventilated patients.
Ventilator-induced lung injury is associated with increased morbidity and mortality. Despite intense efforts in basic and clinical research, an individualized ventilation strategy for critically ill patients remains a major challenge. However, an individualized mechanical ventilation approach remains a challenging task: A multitude of factors, e.g., lab values, vitals, comorbidities, disease progression, and other clinical data must be taken into consideration when choosing a patient's specific optimal ventilation regime. The aim of this work was to evaluate the machine learning ventilator decision system, which is able to suggest a dynamically optimized mechanical ventilation regime for critically-ill patients. Compare with standard controlled ventilation, to test whether the clinical application of the machine learning ventilator decision system reduces mechanical ventilation time and mortality.