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Clinical Trial Summary

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.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT05615168
Study type Interventional
Source University Hospital Dubrava
Contact
Status Completed
Phase N/A
Start date January 1, 2022
Completion date August 30, 2022

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