AI-supported non-invasive measurement for intraoperative hypotension reduction in major Orthopedic and trauma surgery-study protocol for a randomized clinical trial.

ABSTRACT:

Background

Intraoperative hypotension (IOH) is a common complication in non-cardiac surgeries, with significant impacts on postoperative outcomes such as acute kidney injury (AKI), myocardial injury after non-cardiac surgery (MINS), and postoperative cognitive dysfunction (delirium). Traditional non-invasive blood pressure monitoring often results in blind gaps through the discontinuous measurement, potentially missing critical hypotensive events. This study investigates the efficacy of a non-invasive, continuous AI-supported technology using the Hypotension Prediction Index (HPI) system, designed to predict and mitigate IOH, in reducing the incidence and severity of IOH and related complications in major orthopedic and trauma surgeries.

Methods/design

This monocentric, rand

SUBMITTER: Habicher M 

PROVIDER: S-EPMC12577059 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature