COVID-19 Clinical Trial
Official title:
Impact and Sequelae of High Ventilatory Drive in Critically Ill COVID-19 Patients With Acute Respiratory Failure Requiring High Flow Oxygen or Mechanical Ventilation: Mechanistic and Genomic Characterization Using Artificial Intelligence
Critically ill COVID-19 patients with acute respiratory failure, in the intensive care unit (ICU), often feature high respiratory drive, determining large inspiratory efforts resulting in high pressures and global and regional over-distention, leading to lung injury. SARS-CoV-2 neurotropic-penetration in control centers in medulla oblongata might contribute to dysregulation and to excessively high respiratory drive observed in these patients. These pathophysiological conditions may often lead to the development of patient-ventilator asynchronies in aptients under mechanical ventilation, again leading to high tidal volumes and increased lung injury. These phenomena can contribute to prolonged duration of mechanical ventilation and ICU length of stay, but also can result in long term adverse outcomes like emotional/psychological and cognitive sequelae. All them compromising the quality of life of critically ill survivors after ICU discharge. The investigators will conduct a multicenter study in adult critically ill COVID-19 patients with hypoxemic respiratory failure, aiming to: 1) characterize incidence and clustering of high respiratory drive by developing algorithms, 2) apply artificial intelligence in respiratory signals to identify potentially harmful patient-ventilator interactions, 3) characterize cognitive and emotional sequelae in critically ill COVID-19 survivors after ICU discharge and 4) identify sets of genes and transcriptomic signatures whose quantified expression predisposed to asynchronies and cognitive impairment in critically ill COVID-19 patients.
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