University Hospital Dubrava
Zagreb, City of Zagreb, 1000, Croatia
NCT Number: NCT05615168
Intraoperative hypotension is linked to increased incidence of perioperative adverse events such as myocardial and cerebrovascular infarction and acute kidney injury. Hypotension prediction index (HPI) is a novel machine learning guided algorithm which can predict hypotensive events using high fidelity analysis of pulse-wave contour. Goal of this trial is to determine whether use of HPI can reduce the number and duration of hypotensive events in patients undergoing major thoracic procedures.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Zagreb, City of Zagreb, 1000, Croatia
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Hypotension prediction index (HPI) available with the Edwards "Acumen IQ" sensor will be used as an early warning system and a "diagnostic screen" will be used to guide therapeutic interventions.
Therapeutic interventions guided by real time monitored hemodynamic parameters as measured by Edwards "Flotrac" sensor.
Time frame: During surgery
Time frame: During surgery
Time frame: During surgery
University Hospital Dubrava
Other
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