Machine Learning Model Based on Baroreflex Sensitivity for Predicting Post-Induction Hypotension in Elderly Patients

May 25, 2026 updated by: Huang YuGuang, Peking Union Medical College Hospital

Development of a Baroreflex Sensitivity-Based Multifactorial Machine Learning Model for Predicting Post-Induction Hypotension in Elderly Patients

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.

Study Overview

Status

Recruiting

Detailed Description

Aging significantly alters cardiovascular autonomic function, characterized by elevated sympathetic and decreased parasympathetic tone, rendering elderly patients highly vulnerable to post-induction hypotension (PIH). While existing machine learning models heavily rely on static data (e.g., baseline blood pressure, demographics, medication history), they lack real-time dynamic regulatory inputs, limiting their predictive performance in individualized care.

This single-center, prospective cohort study aims to bridge this gap by introducing preoperative BRS parameters-calculated via the continuous non-invasive arterial pressure (CNAP) method-into machine learning frameworks. A total of 500 patients aged over 65 years scheduled for elective non-cardiac surgery will be enrolled. Preoperative data, including autonomic indices, frailty assessments, and static clinical factors, will be mapped alongside intraoperative events and 30-day postoperative complications. Multiple machine learning algorithms (Logistic Regression, Random Forest, GBDT, XGBoost, LightGBM, and LSTM) will be leveraged and optimized using cross-validation to construct a robust clinical decision-support pipeline.

Study Type

Observational

Enrollment (Estimated)

500

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • China
      • Beijing, China, China, 100730
        • Recruiting
        • Peking Union Medical College Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients scheduled for elective operations

Description

Inclusion Criteria:

  • 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.

Exclusion Criteria:

  • 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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Incidence of Post-Induction Hypotension (PIH)
Time Frame: From immediately after anesthesia induction up to 20 minutes post-induction or before surgical incision.
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 Outcome Measures

Outcome Measure
Measure Description
Time Frame
1. Early Intraoperative Hypotension Rate
Time Frame: From surgical incision to the end of the operation.
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 surgical incision to the end of the operation.
Postoperative Complication
Time Frame: Up to 30 days post-surgery
Up to 30 days post-surgery

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

June 1, 2026

Primary Completion (Estimated)

September 30, 2027

Study Completion (Estimated)

December 31, 2027

Study Registration Dates

First Submitted

May 25, 2026

First Submitted That Met QC Criteria

May 25, 2026

First Posted (Actual)

June 1, 2026

Study Record Updates

Last Update Posted (Actual)

June 1, 2026

Last Update Submitted That Met QC Criteria

May 25, 2026

Last Verified

May 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • 2025-PUMCH-A-119 (Other Grant/Funding Number: Peking Union Medical College Hospital)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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