Machine Learning Model Based on Baroreflex Sensitivity for Predicting Post-Induction Hypotension in Elderly Patients
Development of a Baroreflex Sensitivity-Based Multifactorial Machine Learning Model for Predicting Post-Induction Hypotension in Elderly Patients
1 other identifier
observational
500
1 country
1
Brief Summary
The purpose of this study is to develop a high-performance machine learning model combining dynamic baroreflex sensitivity (BRS) metrics and multi-dimensional static clinical features to predict the risk of post-induction hypotension (PIH) in elderly patients undergoing elective non-cardiac surgery under general anesthesia.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2026
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 25, 2026
CompletedFirst Posted
Study publicly available on registry
June 1, 2026
CompletedStudy Start
First participant enrolled
June 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2027
June 1, 2026
May 1, 2026
1.3 years
May 25, 2026
May 25, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Incidence of Post-Induction Hypotension (PIH)
Defined as a systolic blood pressure (SBP) \<90 mmHg , a mean arterial pressure (MAP) \<65 mmHg, or a decrease in MAP exceeding 30% from baseline measurements.
From immediately after anesthesia induction up to 20 minutes post-induction or before surgical incision.
Secondary Outcomes (2)
1. Early Intraoperative Hypotension Rate
From surgical incision to the end of the operation.
Postoperative Complication
Up to 30 days post-surgery
Study Arms (1)
Elderly Surgical Patients
Patients aged over 65 years who are undergoing elective non-cardiac surgery under general anesthesia with endotracheal intubation. All patients will receive continuous non-invasive hemodynamic monitoring prior to anesthesia induction to calculate baseline BRS parameters.
Eligibility Criteria
Patients scheduled for elective operations
You may qualify if:
- Aged over 65 years;
- Scheduled for elective non-cardiac surgery;
- American Society of Anesthesiologists (ASA) physical status classification I-III;
- Planned for general anesthesia with endotracheal intubation;
- Patient and legal guardians are capable of understanding the study protocol and willing to provide written informed consent.
You may not qualify if:
- Severe peripheral vascular diseases;
- Secondary hypertension;
- Presence of physical tremors (e.g., Parkinson's disease) preventing stable recording;
- Inability to accurately measure upper limb blood pressure;
- Pre-existing cardiac arrhythmias (e.g., atrial fibrillation) that render BRS;
- Psychiatric disorders or cognitive impairments hindering basic cooperation.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Peking Union Medical College Hospital
Beijing, China, 100730, China
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
May 25, 2026
First Posted
June 1, 2026
Study Start
June 1, 2026
Primary Completion (Estimated)
September 30, 2027
Study Completion (Estimated)
December 31, 2027
Last Updated
June 1, 2026
Record last verified: 2026-05