Active clinical trials for "Respiratory Distress Syndrome"

The ongoing COVID-19 pandemic caused high hospitalization and mortality rates especially in critically ill patients. Unfortunately, there is no present study with a large number of patients that would offer us clear answers on the treatment of ICU COVID-19 patients with adsorption filters, extracorporeal methods and the hemoperfusion method. The purpose of this registry study is to investigate the effectiveness and safety of the extracorporeal blood purification and hemoperfusion/hemadsorption filters in treating of critically ill COVID-19 patients.

The goal of this clinical trial is to compare flow-controlled ventilation (FCV) and pressure-controlled ventilation (PCV) in patients with moderate to severe acute respiratory distress syndrome on the intensive care unit. The main questions it aims to answer are: Is the mechanical power during flow-controlled ventilation lower than during pressure-controlled ventilation To gain more understanding about other physiological effects and potential benefits of flow-controlled ventilation in comparison to pressure-controlled ventilation (o.a. the end-expiratory lung volume and homogeneity of ventilation). Participants will be randomized between two ventilation mode sequences, being 90 minutes of FCV followed by 90 minutes of PCV or vice versa.

ASCEND researchers are partnering with families of children who receive extracorporeal membrane oxygenation (ECMO) after a sudden failure of breathing named pediatric acute respiratory distress syndrome (PARDS). ECMO is a life support technology that uses an artificial lung outside of the body to do the lung's work. ASCEND has two objectives. The first objective is to learn more about children's abilities and quality of life among ECMO-supported children in the year after they leave the pediatric intensive care unit. The second objective is to compare short and long-term patient outcomes in two groups of children: one group managed with a mechanical ventilation protocol that reserves the use of extracorporeal membrane oxygenation (ECMO) until protocol failure to another group supported on ECMO per usual care.

Acute respiratory distress syndrome (ARDS) is a lesional pulmonary edema that occurs as a result of direct or indirect lung injury. This condition accounts for 10-15% of ICU admissions and 20-25% of patients admitted require invasive ventilation. Its incidence has increased markedly with the Covid-19 epidemic. ARDS is defined as hypoxemia (Pa02/Fi02 < 300 mmHg) in ventilated patients without heart failure. Currently, the recommendations of the resuscitation societies advocate a management combining invasive ventilation, short duration curarization and prone sessions. In case of failure of these therapies, venovenous ExtraCorporeal Membrane Oxygenation (VV ECMO) is recommended in case of Pa02/Fi02 < 80 mmHg. Nevertheless, approximately 40% of patients have refractory and persistent hypoxemia despite optimization of ECMO parameters and invasive ventilation. The refractory hypoxemia is defined as Pa02 < 55 mmHg and/or Sa02 < 90% and may be due to a recirculation phenomenon or a significant intra-pulmonary shunt. Currently, there is no official recommendation for the management of these patients, leading to the use of various unvalidated field practices. In addition, hospital mortality of the order of 60% is observed in these patients with high management costs. Some data in the literature suggest that induced therapeutic hypothermia (HT) at 34°C for 48 hours could improve the prognosis of these patients by improving oxygenation. Nevertheless, the level of evidence of published studies remains low because they are either case reviews or studies whose methodology does not guarantee the absence of potential bias. The research hypothesis is that HT at 34°C or 33°C for 48 hours is effective on refractory hypoxemia.

Generation of a common European database and biobank Continous assessment and implementation of guidelines and treatment protocols Establishment of a large observational cohort of chILD patients Determination the value of outcomes used in child Assess treatment variations used, deliver data from defined protocols and linked outcomes

Acute respiratory failure (ARF) is the leading reason of ICU admission in immunocompromised patients. Failure to identify the ARF etiology is associated with increased mechanical ventilation and mortality rates. This was confirmed in the large Efraim 1 study published in 2017, where undetermined ARF etiology affected 609/1611 (38%) patients at day 3, 402 (25%) patients at day 7 and 199 (12.3%) patients overall, and was associated with a case fatality of 55% (vs. 40% in other patients). In lung biopsy/autopsy findings from these patients, invasive fungal infection, steroid-sensitive affections (organized pneumonia, non-infectious interstitial involvement, drug-related pulmonary toxicity…), and lung infiltration by the underlying disease (lymphoma, carcinomatous lymphangitis, systemic vasculitis, connective tissue diseases, etc.) were the leading etiologies. No study has evaluated survival benefits from empirical steroids and/or antifungals in immunocompromised patients with ARF from undetermined etiology. The main objective of this study is to reduce the 90-day mortality in immunocompromised patients with ARF from undetermined etiology at day-3. The intervention would evaluate the impact of steroids ± isavuconazole for 14 days or until ICU discharge.

Acute treatment of COVID-ARDS with direct topical lung instilled T3 therapy for patients on mechanical ventilation.

This is a pilot trial to assess the feasibility of volume Targeted Ventilation in the Delivery Room. Preterm infants will be randomized to pressure guided or volume targeted ventilation during respiratory support in the delivery room

This study is an interventional, non-pharmacological, multicentric, randomized, controlled, superiority, non-profit study. Its primary objective is to evaluate if the administration of surfactant based on FOT assessment will allow a 5-day reduction in the duration of respiratory support as compared to standard practice in preterm infants between 27+0 and 32+6 weeks' gestation. The secondary objectives are: to determine if a lung mechanics-based approach for administering surfactant will change treatment timing; and to assess the impact of the novel approach on other neonatal general outcomes. The study will take place within the neonatal intensive care units. Non-invasive respiratory support will be delivered by nasal CPAP with a starting pressure of 5-8 cmH2O. FiO2 will be titrated in order to achieve the target SpO2 91-95%. Infants matching the clinical criteria for inclusion will be randomized in two arms following the current data protection and confidentiality regulations. Central, computer-generated randomization (allocation 1:1) with variable block sizes according to gestational age will be used. Infants will be stratified according to gestational age (27+0 -28+6 weeks; 29+0 -30+6 weeks; 31+0 -32+6 weeks) and center. Study Arms: A) Surfactant administration following oxygenation-based criteria (clinical assessment) (control) B) Surfactant administration following both lung mechanics assessment OR oxygenation-based criteria (clinical assessment) (intervention).

The pandemic caused by SARS-CoV-2 infection has resulted, in addition to the well-known acute symptoms, in the emergence of persistent, diffuse and heterogeneous symptoms referred to as persistent COVID. Common symptoms include fatigue, shortness of breath, and cognitive dysfunction, among others, and result in an impact on daily functioning. Symptoms may be new onset, appear after initial recovery from an acute episode of COVID-19, or persist after the initial illness. Cardiac variability (HRV) was initially used in COVID-19 to predict mortality in the acute setting. Dysautonomia which partly evaluates HRV is frequent in patients with persistent COVID. Several groups have used voice or other respiratory noise analysis for the diagnosis of acute COVID. Patients in the persistent COVID cohort will be able to be differentiated from an age, sex and vaccination status matched cohort of recovered COVID patients without sequelae by means of a model created by Machine Learning that will be trained using cardiac variability (HRV), skin conductance and acoustic analysis data. The primary objetive will be to obtain a classification algorithm by Machine Learning to differentiate the group of patients with persistent COVID diagnosis from the paired group of recovered COVID patients without sequelae.