View clinical trials related to Respiratory Insufficiency.
Filter by:Protocol-driven ventilator weaning strategies utilizing spontaneous breathing trials (SBT) reportedly result in shorter intubation duration and intensive care unit (ICU) length-of-stay (LOS). Investigators compared respiratory therapy (RT)-driven protocolized ventilator weaning (PW) verses usual care (UC) as it pertains to physiologic respiratory parameters, intubation duration, extubation success/reintubation rates, and ICU LOS. The study was a prospective multicenter randomized controlled trial in 6 ICUs at 6 academic-affiliated hospitals in a resource limited setting. Extubation readiness was determined by the attending physician (UC) or the respiratory therapist (PW) using pre-defined criteria and SBT. Physiologic variables, serial blood gas measurements, and weaning indices were assessed including rapid shallow breathing index (RSBI), negative inspiratory force (NIF), occlusion pressure (P0.1), dynamic and static compliance (Cdyn and Cs).
Respiratory failure patients sometimes receive tracheostomy due to difficulty weaning from mechanical ventilation. Efforts to wean patients with a tracheostomy usually involve the administration of oxygen via High Humidity device. There are two major ways of administering oxygen to patients which include low flow delivered at less than 10Liters per minute (LPM) and high-flow delivered at greater than 10LPM. There is not a currently accepted standard of care practice for how to administer oxygen therapy to these patients. Both Low and High Flow are accepted practices in the US.
Esophageal balloon calibration (EBC) has been proposed during controlled mechanical ventilation in intubated patients in order to optimize esophageal pressure (Pes) signal. Actually, at our knowledge, no data exist about EBC during assisted ventilatory modes such as Pressure Support Ventilation (PSV). The primary endpoint of the present investigation is to assess the feasibility of EBC during PSV and PSV plus Sigh.
The aim of the study is to examine if automated oxygen delivery with O2matic allows for faster weaning from oxygen and better oxygen control than manually controlled oxygen therapy for patients admitted with an exacerbation of chronic obstructive pulmonary disease (COPD). Furthermore it will be tested if O2matic compared to manual control allows for faster discharge from hospital. Patients sense of security, anxiety and dyspnea will be evaluated by questionnaires.
First: to develop a computerized algorithm for automated analysis of the electrical impedance tomography (EIT) data. The algorithm calculates the "optimal" positive end-expiratory pressure (PEEP) and inspiratory pressure defined as the "optimal" balance between stretch, ventilation distribution and collapse. Second: to compare the results of the algorithm with the current standard of care clinical judgement of an experienced ventilation practitioner.
RENOVATE study aims to investigate if the respiratory support device called High-Flow Nasal Oxygen Cannula (HFNC) acts similarly (non-inferior) to another respiratory support device called Non-Invasive positive-pressure Ventilation (NIPPV) in preventing endotracheal intubation in adult patients with Acute Respiratory Failure (ARF) from different causes. HFNC is a somewhat new method of respiratory support in adults that has been used in neonatal ARF for some years. The reason this study is necessary is that, even though NIPPV has been demonstrated to prevent endotracheal intubation (and its associated complications) in a broad range of ARF patients, HFNC has been proposed to have the same beneficial effect of NIPPV while being easier tolerated, allowing patients to talk, eat and drink through mouth while on HFNC. RENOVATE will recruit between 800 to 2000 patients (adaptive design) with different types of ARF in Brazil. Patients will be randomized to HFNC or NIPPV and the rate of endotracheal intubation will be compared between groups as well as other parameters such as vital status and other health care related complications. [IMPORTANT NOTE] On April 13, 2021, on the first interim analysis, the DSMB recommended the interruption of the immunocompromised hypoxemic ARF subgroup.
The goal of this pilot is to evaluate a novel restraint device in 8 older mechanically ventilated patients to demonstrate that 1) the revised novel restraint prototype is safe and 2) a future randomized controlled trial (RCT) is feasible.
Endotracheal intubation (ETI) is a potentially life-threatening procedure for critically ill patients and major severe complications such as severe hypoxia, cardiovascular collapse and cardiac arrest are common. Despite the high risk of the procedure, different interventions lack high-quality evidence and the investigators hypothesize that a heterogeneous practice among different centres and geographical areas may be found. The investigators designed a large international observational study aiming at prospectively collecting data on the current impact of ETI-related adverse events and current airway management practice in critically ill patients. Investigators will collect data on all consecutive in-hospital (intensive care unit, emergency department and wards) ETIs performed in adult critically patients.
This study is designed to test a proposed strategy for lung- and diaphragm-protective ventilation (LDPV) in patients with acute hypoxemic respiratory failure. Ventilation and sedation will be titrated to evaluate whether it is feasible and safe within this patient population.
Background: Computer aided auscultation in the differentiation of pathologic (AHA class I) from no- or innocent murmurs (AHA class III) via artificial intelligence algorithms could be a useful tool to assist healthcare providers in identifying pathological heart murmurs and may avoid unnecessary referrals to medical specialists. Objective: Assess the quality of the artificial intelligence (AI) algorithm that autonomously detects and classifies heart murmurs as either pathologic (AHA class I) or as no- or innocent (AHA class III). Hypothesis: The algorithm used in this study is able to analyze and identify pathologic heart murmurs (AHA class I) in an adult population with valve defects with a similar sensitivity compared to medical specialist. Methods: Each patient is auscultated and diagnosed independently by a medical specialist by means of standard auscultation. Auscultation findings are verified via gold-standard echocardiogram diagnosis. For each patient, a phonocardiogram (PCG) - a digital recording of the heart sounds - is acquired. The recordings are later analyzed using the AI algorithm. The algorithm results are compared to the findings of the medical professionals as well as to the echocardiogram findings.