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The aim of this study is to collect synchronized data from multiple monitoring techniques of mechanical ventilation (pressure/flow waves from the ventilator, electrical impedance tomography - EIT, esophageal pressure, capnography) in patients ventilated either on intensive care units or during anesthesia and evaluate the data by detailed mathematical analysis, to test three hypotheses:
This study does not test any new or non-standard methods and does not in any way interfere with the course of treatment indicated by the clinician, apart from extending the monitoring techniques.
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Mechanical ventilation is known to cause various complications, generally known as ventilator induced lung injury. Thus, detailed monitoring is essential. However, data interpretation is complicated in clinical practice. The investigators aim to collect synchronized data from multiple monitoring techniques of mechanical ventilation (pressure/flow waves from the ventilator, electrical impedance tomography - EIT, esophageal pressure, capnography) in patients ventilated either on intensive care units or during anesthesia and evaluate the data by detailed mathematical analysis. The results will be used to explore the complexity of seemingly simple and often used calculations describing the course of mechanical ventilation - mostly the expiratory time constant and amount of mechanical energy transferred to the lungs. The investigators primarily aim to test three hypotheses:
For this, the investigators plan to recruit 50 patients undergoing general anesthesia with controlled mechanical ventilation and 50 patients hospitalized on intensive care units. Monitoring of those patients will be protocolized and will in all cases include pressure/flow monitoring of the mechanical ventilator, capnography, and electrical impedance tomography. Esophageal pressure monitoring will be introduced where indicated by the clinician or where nasogastric tube insertion will be indicated (as the pressure can be measured by a combined catheter).
This study thus does not test any new or non-standard methods and does not in any way interfere with the course of treatment indicated by the clinician, apart from extending the monitoring techniques. Patient data will be anonymized and all the enrolled patients or their families will sign an informed consent as agreed by the ethical committee of our hospital.
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100 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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