Deep Learning Models for Prediction of Intraoperative Hypotension Using Non-invasive Parameters

Samsung Medical Center5,175 enrolled

Overview

The investigators aimed to investigate the deep learning model to predict intraoperative hypotension using non-invasive monitoring parameters.

Intraoperative hypotension is associated with various postoperative complications such as acute kidney injury. Therefore, precise prediction and prompt treatment of intraoperative hypotension are important. However, it is difficult to accurately predict intraoperative hypotension based on the anesthesiologists' experience and intuition. Recently, deep learning algorithms using invasive arterial pressure monitoring showed the good predictive ability of intraoperative hypotension. It can help the clinician's decisions. However, most patients undergoing general surgery are monitored by non-invasive parameters. Therefore, the investigators investigate the prediction model for intraoperative hypotension using non-invasive monitoring.

Study Type

OBSERVATIONAL

Enrollment

5,175

Conditions

Intraoperative Hypotension General Anesthesia

Eligibility

Sex: ALL

Medical Language ↔ Plain English

Inclusion Criteria: * The patients who are included in the open database, VtialDB. * The patients who underwent inhaled general anesthesia for non-cardiac surgery. * The patients who have non-invasive monitoring data including blood pressure, electrocardiography, pulse oximetry, bispectral index, and capnography. Exclusion Criteria: * The patient with missing data.

Locations (1)

Samsung Medical Center

Seoul, Seoul, South Korea

Outcomes

Primary Outcomes

Deep learning model's prediction ability on intraoperative hypotension event

Area under the curve the receiver operating characteristic (AUROC) curve for the deep learning model to predict intraoperative hypotension.

Time frame: through study completion, an average of 3 hour

Data from ClinicalTrials.gov

This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.