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Clinical Trial Summary

Blood pressure optimization has been considered as a crucial factor to avoid perioperative vital organ hypoperfusion, and perioperative hypotension has been addressed as a risk factor for complications and adverse clinical outcomes. Hypotension prediction index (HPI) is an novel machine-learning derived parameters, and was developed to predict the risk of future hypotension.Series of clinical studies have verified its clinical efficacy in avoiding perioperative hypotension. Major orthopedic surgeries, such as spine surgery, joint surgery, long bone fracture surgery, are quite common in elder people, who are vulnerable to perioperative adverse outcomes.Thus the investigator design this study to testify the clinical efficacy of implementing HPI in perioperative goal-directed hemodynamic therapy in elder patients receiving major orthopedic surgery.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT05274412
Study type Interventional
Source National Taiwan University Hospital
Contact Chen-Tse Lee, MD
Phone 0972653169
Email lctbrian314@gmail.com
Status Recruiting
Phase N/A
Start date March 23, 2022
Completion date April 2024

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