Use of Hypotension Prediction Index to Reduce Intraoperative Hypotension in Major Thoracic Surgery
Overview
- Phase
- N/A
- Intervention
- Not specified
- Conditions
- Hypotension During Surgery
- Sponsor
- University Hospital Dubrava
- Enrollment
- 34
- Locations
- 1
- Primary Endpoint
- Time weighted average of area under hypotensive threshold
- Status
- Completed
- Last Updated
- 3 years ago
Overview
Brief 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.
Investigators
Andrej Šribar
Prinicipal investigator, Head of division of cardiovascular anesthesiology
University Hospital Dubrava
Eligibility Criteria
Inclusion Criteria
- •patients over 18 years of age
- •patients scheduled for elective major thoracic procedure (lung resection, pleurectomy or resection of the esophagus)
- •planned thoracotomy and intraoperative period of one lung ventilation
- •planned postoperative admission to the ICU
- •Exclusion criteria:
- •persistent atrial fibrillation
- •structural heart defects (shunting or moderate to severe valvular anomalies)
- •preoperative serum hemoglobin levels \< 120 g/L
- •severe heart failure classified as New York Heart Association (NYHA) grade IV
Exclusion Criteria
- Not provided
Outcomes
Primary Outcomes
Time weighted average of area under hypotensive threshold
Time Frame: During surgery
Secondary Outcomes
- Number of hypotensive events(During surgery)
- Cumulative duration of hypotension(During surgery)