MedTrace Logo

Machine Learning-Based Model for Individualized Drug Dose Prediction for Propofol

NCT06703879 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1200

Last updated 2025-08-19

No results posted yet for this study

Summary

The goal of this observational study is to develop an individualized prediction model for drug dosage during propofol-induced loss of consciousness in anticipation of advances in research in this area. An appropriate delivery model to reduce perianesthesia complications in patients, especially in outpatient painless endoscopy patients. The main question it aims to answer is:

What type of machine learning algorithm should be used to build a drug dose prediction model that is suitable for patient awareness of anesthesia induction? 1000 participants routinely with propofol induced anesthesia loss of consciousness included in this study.

Conditions

  • Anesthesiology
  • Anesthesiology Management

Interventions

DRUG

Anesthesia induction with propofol

Establishment of a database of clinical characteristics of propofol-induced loss of consciousness in patients with complete clinical information Acquisition of basic perioperative monitoring data and extended monitoring data: 1,000 patients aged ≥18 years who needed to undergo surgical treatment were included (according to the machine learning diagnosis results, if the poor model fit was due to the small sample size, the necessary number of samples could be continued to be collected), and perioperative monitoring and management of the patients was performed, and a video recorder was used to videotape the whole anesthesia induction process in real time, so as to facilitate the postoperative integration of various data. The basic characteristics of the patients and the perioperative monitoring characteristics were extracted from the surgical anesthesia recording system, including gender, age, height, weight, blood pressure, ASA classification, electroencephalographic parameters, the a

Sponsors & Collaborators

  • General Hospital of Ningxia Medical University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-11-20
Primary Completion
2025-03-30
Completion
2025-07-30

Countries

  • China

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06703879 on ClinicalTrials.gov