View clinical trials related to High Flow Oxygen Therapy.
Filter by:This study is aimed at patients who have been admitted to the respiratory care center of this hospital who meet the PMV conditions (defined as continuous use of the ventilator for at least ten days) who are about to receive the ventilator out of training. After obtaining the explanatory consent, they will undergo continuous complete Before and after spontaneous breathing training, collect various relevant physiological data of lung volume and ventilation perfusion distribution, and analyze and predict the correlation of ventilator detachment.
BACKGROUND: Changes in the clinical practice of mechanical ventilation during and after the coronavirus pandemic (COVID-19) worldwide could influence the clinical outcomes of critically ill patients with mechanical ventilation due to a generalization of these changes. Thus, the variability of the clinical response of different strategies in critically ill patients could be related to the existence of unidentified phenotypes that would be related to an increased risk of mortality and functional deterioration at the medium term. OBJECTIVES: The main objective will be to evaluate the worldwide clinical practice of mechanical Ventilation in critically ill patients, as well as the medium-term clinical outcomes for the description of phenotypes of critically ill patients treated with mechanical ventilation. The analysis of phenotypes and unsupervised pattern recognition over time could help to predict relevant clinical outcomes. This approach could improve personalized and precision medicine applicable to the ventilated patient. METHODOLOGY: An observational, prospective, non-interventional, international, and multicenter study will be carried out that will include adult critically ill patients requiring invasive or non-invasive mechanical ventilation for more than 12 hours. Analyzes of the variability of mortality and functional impairment at six months will be performed. Likewise, artificial intelligence analyzes ("machine learning" and "neural networks") will be carried out.
High-flow nasal cannula (HFNC) enables delivering humidified gas at high-flow rates controlling the oxygen inspired fraction (FiO2). Its efficacy has been demonstrated in hypoxemic acute respiratory failure. However, little is known about its use in hypercapnic acute respiratory failure (ARF). Therefore, we aimed to evaluate the effect of using HFNC through "Precision Flow" equipment as first line of ventilatory support for COPD patients with hypercapnic acute respiratory failure.